Rice Prices
as on : 01-07-2020 01:58:46 PM
Arrivals in tonnes;prices in Rs/quintal in domestic market.
Arrivals
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Price
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Current
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%
change |
Season
cumulative |
Modal
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Prev.
Modal |
Prev.Yr
%change |
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Rice
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Mandya(Kar)
|
1729.00
|
-19.81
|
13469.00
|
2450
|
2100
|
-
|
Bangarpet(Kar)
|
306.00
|
16.79
|
6398.00
|
2300
|
2250
|
-
|
Sultanpur(UP)
|
230.00
|
-14.81
|
5777.00
|
2400
|
2375
|
-4.00
|
Gondal(UP)
|
105.00
|
-6.25
|
6711.50
|
2400
|
2400
|
-2.04
|
Barhaj(UP)
|
80.00
|
33.33
|
9068.00
|
2500
|
2520
|
4.17
|
Azamgarh(UP)
|
55.00
|
-8.33
|
4913.70
|
2580
|
2585
|
5.52
|
Ballia(UP)
|
50.00
|
-44.44
|
2693.00
|
2550
|
2560
|
7.37
|
Hardoi(UP)
|
50.00
|
NC
|
7982.80
|
2500
|
2450
|
6.84
|
Faizabad(UP)
|
37.00
|
-2.63
|
1182.00
|
2430
|
2425
|
2.32
|
Lalitpur(UP)
|
35.00
|
16.67
|
1436.50
|
2470
|
2480
|
-5.00
|
Mainpuri(UP)
|
32.00
|
-8.57
|
3595.50
|
2550
|
2500
|
5.37
|
Manvi(Kar)
|
30.00
|
NC
|
622.00
|
1850
|
1850
|
-
|
Saharanpur(UP)
|
30.00
|
15.38
|
2134.00
|
2680
|
2680
|
-6.29
|
Mathura(UP)
|
28.00
|
7.69
|
2662.00
|
2550
|
2560
|
-7.27
|
Shamli(UP)
|
28.00
|
27.27
|
897.90
|
2700
|
2700
|
-2.17
|
Basti(UP)
|
26.00
|
-13.33
|
1407.00
|
2580
|
2580
|
9.79
|
Firozabad(UP)
|
25.00
|
-7.41
|
1349.60
|
2610
|
2600
|
-
|
Gazipur(UP)
|
23.00
|
-
|
23.00
|
2570
|
-
|
-
|
Partaval(UP)
|
21.50
|
7.5
|
672.00
|
2540
|
2555
|
11.16
|
Sirsaganj(UP)
|
20.00
|
8.11
|
906.50
|
2500
|
2600
|
-1.96
|
Mohamadabad(UP)
|
18.50
|
68.18
|
764.80
|
2480
|
2450
|
-
|
Mangaon(Mah)
|
17.00
|
112.5
|
108.00
|
3500
|
3500
|
25.00
|
Nawabganj(UP)
|
17.00
|
-5.56
|
618.00
|
2400
|
2400
|
50.00
|
Ulhasnagar(Mah)
|
15.00
|
50
|
422.00
|
4000
|
4000
|
25.00
|
Jangipura(UP)
|
15.00
|
15.38
|
572.00
|
2560
|
2550
|
9.40
|
Farukhabad(UP)
|
13.00
|
-10.34
|
963.00
|
2460
|
2480
|
-6.82
|
Rasda(UP)
|
12.00
|
20
|
421.00
|
2530
|
2625
|
1050.00
|
Kayamganj(UP)
|
11.00
|
-8.33
|
1792.00
|
2500
|
2490
|
-4.21
|
Mahoba(UP)
|
9.20
|
8.24
|
415.80
|
2450
|
2460
|
8.17
|
Vasai(Mah)
|
8.00
|
-81.4
|
1313.00
|
2850
|
3480
|
-17.39
|
Devariya(UP)
|
8.00
|
-5.88
|
904.50
|
2590
|
2595
|
5.28
|
Karvi(UP)
|
8.00
|
-5.88
|
539.50
|
2445
|
2425
|
6.54
|
Jafarganj(UP)
|
8.00
|
33.33
|
1004.00
|
2410
|
2425
|
11.57
|
Unnao(UP)
|
6.50
|
18.18
|
170.80
|
2475
|
2480
|
8.32
|
Tundla(UP)
|
6.00
|
33.33
|
222.00
|
2560
|
2560
|
0.39
|
Kasganj(UP)
|
5.00
|
-16.67
|
427.50
|
2580
|
2570
|
0.78
|
Safdarganj(UP)
|
5.00
|
66.67
|
55.00
|
2470
|
2450
|
-
|
Chitwadagaon(UP)
|
4.00
|
NC
|
436.60
|
2530
|
2530
|
20.48
|
Jhijhank(UP)
|
4.00
|
-20
|
269.50
|
2550
|
2540
|
-
|
Naanpara(UP)
|
3.80
|
-29.63
|
627.10
|
2420
|
2420
|
9.01
|
Chhibramau(Kannuj)(UP)
|
3.70
|
2.78
|
561.80
|
2480
|
2480
|
-0.80
|
Fatehpur Sikri(UP)
|
3.20
|
14.29
|
107.00
|
2580
|
2610
|
0.19
|
Kosikalan(UP)
|
2.40
|
NC
|
213.00
|
2550
|
2545
|
2.00
|
Honnali(Kar)
|
2.00
|
-77.78
|
534.00
|
3000
|
3000
|
-
|
Jhansi(UP)
|
1.80
|
20
|
137.30
|
2480
|
2485
|
4.86
|
Alibagh(Mah)
|
1.00
|
NC
|
80.00
|
4200
|
4200
|
NC
|
Murud(Mah)
|
1.00
|
NC
|
79.00
|
4200
|
4200
|
NC
|
Lalganj(UP)
|
1.00
|
-16.67
|
258.80
|
2350
|
2300
|
-
|
Mugrabaadshahpur(UP)
|
1.00
|
-28.57
|
48.00
|
2510
|
2510
|
12.05
|
Achnera(UP)
|
0.80
|
NC
|
34.20
|
2555
|
2550
|
0.59
|
Bharuasumerpur(UP)
|
0.60
|
-40
|
16.90
|
2500
|
2500
|
28.21
|
Risia(UP)
|
0.60
|
NC
|
73.50
|
2420
|
2410
|
-
|
Published on July 01, 2020
Increased extreme hourly precipitation over China’s
rice paddies from 1961 to 2012
Scientific
Reports volume 10,
Article number: 10609 (2020) Cite this article
Abstract
Rice yield have been affected by
the increased extreme precipitation events in recent decades. Yet, the
spatio-temporal patterns of extreme precipitation by rice type and phenology
remain elusive. Here, we investigate the characteristics of four extreme
precipitation indices across China’s rice paddy and their potential association
with crop yields, by using hourly precipitation data from 1,215 stations and
rice phenology observations from 45 sub-regions. The data indicate that hourly
extreme precipitation have significantly increased in 1961–2012 for single rice
and early rice in China but not for late rice. Rice were mainly exposed to
extreme precipitation from transplantation to flowering stages. The frequency
and proportion of extreme precipitation were significantly increased by
2.0–4.7% and 2.3–2.9% per decade, respectively, mainly in south China and
Yangtze River Basin. The precipitation intensity and maximum hourly
precipitation were increased by 0.7–1.1% and 0.9–2.8% per decade, respectively,
mainly in central China and southeast coastal area. These extreme precipitation
indices played a role as important as accumulated precipitation and mean
temperature on the interannual variability of rice yields, regardless of rice
types. Our results also highlight the urgencies to uncover the underlying
mechanisms of extreme precipitation on rice growth, which in turn strengthens
the predictability of crop models.
Introduction
China, the biggest rice producer
around the world, has a total rice sown area of 30 million hectares at present.
However, rice was experiencing frequent extreme climate events that led to a
large instability in rice production1,2. Long-term
exposure of rice growth to extreme climate has raised our concerns3,4, because of
the importance of the global or regional food security5. Currently
there were a few studies focusing on the spatio-temporal patterns of extreme
precipitation events over rice planting areas, especially with highly diverse
rice variety, planting time and phenology in China6.
Precipitation extremes have been
increasing globally in frequency, intensity and extent over the past decades7,8,9. The maximum
daily precipitation, maximum consecutive 5-day precipitation and total
precipitation from days > 95th percentile have increased by 5%, 4% and 20%
during the period 1900–2010, respectively10. However,
conclusions varied with regions and seasons11,12. For example,
the proportion and frequency of extreme precipitation significantly increased
in Eastern China while decreased in North China over the past five decades due
to heterogeneous terrain and climate conditions13,14. By analyzing
265 stations in South Asia in 1961–2000, an increasing trend of extreme
precipitation was identified in tropical regions, while decreasing in the
Himalaya and desert regions15. Significant
increase in maximum daily precipitation were found from June to August, but no
obvious elevation or even decreasing during the rest of the year16.
Other than the possible disasters
like flash floods and mudslides, extreme precipitation events have different
influences on crop growth (or yield) when the events occurred in critical
growing periods6,17,18. A positive
correlation was found between rice yield and extreme precipitation events in
India19, while it was
negative in the Philippines20. Specifically,
extreme precipitation slightly influenced rice growth at its tillering stage,
while it is unfavorable for rice pollination at early rice flowering stage21. Long spells
of rainfall at the ripening stage resulted in yield reduction due to lodging
and waterlogging and impeded mechanical harvesting22. Moreover,
extreme precipitation influenced crop yield through physiochemical and
physiological mechanisms. Photosynthetic rate was increased by extreme
precipitation by adjusting the stomatal opening of leaf surface of bean and pea23, while it was
decreased due to large nutrient loss of leaf epidermis of peatland24. Thus, it is
necessary to identify extreme precipitation indices during different
rice-growing periods and unravel the potential effects of extreme precipitation
on rice growth.
Most of previous studies were
conducted based on daily datasets. However, extreme precipitation events often
occurred in a short time from less than 1 h to a few hours25. Furthermore,
trend analyses using hourly data could better reveal the temporal dynamics at
the local scale and retain more information about precipitation pattern,
especially in regions with substantial seasonal variability and undulating
topography11. For
instance, Prein et al.26 found
that the hourly extreme precipitation increased in majority of the United
States from 2001 to 2013 and expected to increase along with global warming in
the future. Li et al.27 estimated
the threshold values of hourly rainfall intensity for a 5-year return period and
revealed significant regional differences over eastern China. Luo et al. 28 investigated
synoptic situations of extreme hourly precipitation over China and suggested
complicated regional features in the occurrence frequency and intensity of
precipitation extremes.
The objective of this study is to
provide an insight into extreme precipitation indices over rice paddy fields,
including the frequency, intensity, proportion and maximum hourly precipitation
(see “Methods” section). Using hourly precipitation
data (1,215 stations) and rice phenology observations (45 sub-regions), we
investigated the spatiotemporal patterns of extreme precipitation indices over
three rice cropping systems (i.e., single rice, early rice and late rice)
during 1961–2012, and tested the association between the long-term exposure to
extreme precipitation and rice yield in the last three decades (1981–2012) due
to data limitation (see “Methods” section). In addition, we discussed
about the long-term goals in quantifying risks of extreme precipitation on rice
production and associated model improvements, as well as policy implications to
mitigate the losses from extreme precipitation events.
Results
Extreme
precipitation indices by crop and phenology
The extreme precipitation varied
greatly among different rice growing periods, but not among three rice types
(Fig. 1). For the entire rice growing season, the
frequency of extreme precipitation of early rice (0.51 ± 0.11%) was
significantly higher than that of single rice (0.39 ± 0.12%, p < 0.001) and
late rice (0.32 ± 0.06%, p < 0.001) (Fig. 1a). In addition, the frequency in the period
2 and 3 were significant higher than those in period 1 and 4 for single rice
and early rice (p < 0.001), while for late rice higher frequency occurred in
period 1 and 2 (Fig. 1a). The intensity and maximum hourly
precipitation differed significantly by growth period (p < 0.001) and were
higher in the first two periods for each rice type (Fig. 1b,d). There were no significant differences
of the proportion of extreme precipitation (range within 33.5–34.4%) between
cropping systems for the entire rice season, and significant higher proportion
of extreme precipitation was found for periods 2 and 3 for single rice and
early rice (Fig. 1c).
Figure
1
Extreme precipitation indices by
rice type and growth period in 1961–2012. (a) Frequency of extreme
precipitation; (b) intensity of extreme precipitation; (c)
proportion of extreme precipitation; (d) maximum hourly precipitation,
note that the value during whole rice growing season differs with the maximum
of those in 4 growth periods because the time of maximum precipitation event
differs by year and site. Period 1 represents the stage from transplanting to
tillering, period 2 for the stage from the end of tillering to the end of
flowering, period 3 for the stage from the end of flowering to doughty, and
period 4 for the stage from maturity to harvesting. Error bar indicates one
standard deviation of extreme precipitation indices due to spatial variation.
Different letters indicate there were significant differences between growing
periods at the 5% level. Figures were generated in R version 3.6.0 (www.r-project.org)64.
Notable spatial discrepancies
were detected for all four extreme precipitation indices based on the averaged
data over 1961–2012 (Fig. 2). For the single rice, the frequency of
extreme precipitation was relatively higher in southwest China (0.34–0.96%)
than the east and the northeast (0.14–0.56%) (Fig. 2a). Intensity of the extreme precipitation
was relatively lower in the southwest but reached the highest in North China
Plain (Fig. 2d). Similar patterns were found for the
proportion and maximum hourly precipitation (Fig. 2g,j). For early rice, the frequency of
extreme precipitation was generally high in most provinces (0.39–0.72%,
Fig. 2b). The intensity, proportion and maximum
hourly precipitation showed similar spatial patterns with the hotspots in
Hainan, Guangxi, and Guangdong (Supplementary Fig. S2a, Fig. 2e,h,k). For late rice, the frequency ranged
from 0.17 to 0.58% (Fig. 2c). The intensity and maximum hourly
precipitation showed similar patterns with a gradual decrease from maritime
areas to the inland (Fig. 2f,l). In contrast, hotspots of the proportion
were primarily distributed in Hunan, Jiangxi, and Fujian (35.7% to 40.6%),
whereas low values were found in south China (28.0% to 36.1%, Fig. 2i). These proportions were smaller than
previous studies that used the 90th percentile threshold29,30. Details of
the patterns of four indices in different growth periods could be found in
Supplementary Figs. S3–S6.
Figure
2
Patterns of extreme precipitation
indices for rice growing season averaged over the period 1961–2012. (a–c)
Frequency of extreme precipitation; (d–f) intensity of extreme
precipitation; (g–i) proportion of extreme precipitation; (j–l)
maximum hourly precipitation for single rice region (left) , early rice region
(middle) , late rice region (right) during 1961–2012. Maps were generated in R
version 3.6.0 (www.r-project.org)64.
The trends of extreme
precipitation indices were further detected during rice growing season over the
period 1961–2012 (Fig. 3). For single rice, the indices exhibited
significantly increasing trends over the entire growing season, with 2.4% per
decade (p = 0.02) for frequency, 0.8% per decade (p < 0.001) for intensity,
2.3% per decade (p < 0.001) for the proportion, and 2.8% per decade
(p < 0.001) for maximum hourly precipitation. Temporal trends of four
indices for early rice growing season were similar to single rice, except for
maximum hourly precipitation (0.9% per decade, p = 0.07). In contrast, the
proportion of extreme precipitation showed a significant increment for late
rice (2.9% per decade, p < 0.001), while other indices showed insignificant
upward tendencies. Large tendency differences were found between the four
growing periods. An increasing trend of four indices was found within periods 1
and 2 for single rice (Fig. 3). For early rice, no significant upwards
tendencies were found, except the frequency in period 2 with a notable increase
at rate of 5.1% per decade (p = 0.03; Fig. 3a,b,d). Trends of the proportion were shown
with a significant increase in the latter three periods ranged from 2.6 to 4.1%
per decade (p < 0.05; Fig. 3c). For late rice, all four indices showed
upward tendencies during periods 1 and 2, of which the proportion of extreme
precipitation showed a significant trend (2.6% to 3.1% per decade,
p < 0.01).
Figure
3
Temporal trends of extreme precipitation
indices by rice type and growth period in 1961–2012. (a) Frequency of
extreme precipitation; (b) intensity of extreme precipitation; (c)
proportion of extreme precipitation; (d) maximum hourly precipitation,
with *p < 0.05 and **p < 0.01. The definition of growth period 1 is same
as Fig. 1. Figures were generated in R version 3.6.0 (www.r-project.org)64.
The trends of extreme precipitation
indices were spatially heterogeneous (Fig. 4). For single rice, about two thirds (65%) of
stations showed an increasing frequency of extreme precipitation, 6.2% of which
were statistically significant (from 4.8 to 18.5% per decade; Fig. 4a). For early rice, 80% of stations showed an
increasing frequency, while 11.4% was significant (from 7.1 to 33.1% per
decade; Fig. 4b). More than two thirds of stations showed a
relatively low increasing trend of the intensity (range from 1.9 to 13.1% per
decade; Fig. 4d–f). ~ 75% of stations were shown with
increasing tendencies of the proportion in three rice types, 10.6–16.3% of
which were with significant increase at a rate of 3.6–22.5% per decade that
were equally distributed over paddy fields (Fig. 4g–i). Trend analysis indicated a stronger
changes in four growing periods over the last 50 years, except for late
rice during periods 3 and 4 (Supplementary Figs. S7–S10). In summary, increasing trends for
rice growing season since 1961 were found in the most of stations for the
proportion of extreme precipitation (70.6–80.1%, with 10.6–16.3% significant)
and for maximum hourly precipitation (67.0–69.9%, with 7.5–8.7% significant),
while mixed trends were found for the frequency and intensity of extreme
precipitation.
Figure
4
Patterns of the temporal trends of
extreme precipitation indices in 1961–2012. (a–c) Frequency of
extreme precipitation; (d–f) intensity of extreme precipitation;
(g–i) proportion of extreme precipitation; (j–l)
maximum hourly precipitation for single rice region (left), early rice region
(middle), late rice region (right). Red crosses indicated for insignificant
negative trends, blue crosses indicated for insignificant positive trends,
while dots indicated for significant trends (p < 0.05). Maps were generated
in R version 3.6.0 (www.r-project.org)64.
Association
between extreme precipitation and rice yield
A negative correlation between
the frequency and single rice yield was found in the Northern China and Eastern
China, while the correlation was positive in southwest and the North China
Plain (Fig. 5a). Early rice yield was significantly and
negatively correlated with the frequency of extreme precipitation (Fig. 5b). Negative correlations between frequency
and rice yield were also found for late rice at coastal area (Fig. 5c). The relationship between the intensity of
extreme precipitation and yield of single rice showed positive correlations in
most provinces (Fig. 5d). Negative correlations were further found
at coastal areas of early and late rice, while provinces in the middle and
lower reaches of the Yangtze river Basin, such as Hunan and Zhejiang, showed
positive relationships (r = 0.33 to 0.52, p < 0.1) (Fig. 5e,f). The spatial pattern of correlations
between the proportion of extreme precipitation and single rice yield was not
notable (Fig. 5g). Proportion of extreme precipitation
showed negative correlations with early and late rice yields at coastal area,
but positive correlations in the inner regions (Fig. 5h,i). Similar spatial distributions were
found for the correlation between maximum hourly precipitation and rice yield
(Fig. 5j–l). Details of the patterns of the
correlations in different growth periods could be found in Supplementary
Tables S3–S5.
Figure
5
Correlation coefficient between
rice yields and extreme precipitation indices in 1981–2012 at the provincial
scale. (a–c) Frequency of extreme precipitation of single rice
(left) , early rice (middle), and late rice (right); (d–f)
intensity of extreme precipitation; (g–i) proportion of extreme
precipitation; (j–l) maximum hourly precipitation. Asterisks indicate
the significance of each correlation. *p < 0.1 and **p < 0.05. Maps were
generated in R version 3.6.0 (www.r-project.org)64.
We further implemented stepwise
regression to identify the determinants of rice yield variability for three
rice types across rice-growing provinces (Fig. 6). Climate factors explained 41% for early
rice, 11% for late rice, but only 3% for single rice (Supplementary Table S6). Results highlighted that extreme
precipitation were as important as accumulated precipitation and mean
temperature on the inter-annual yield differences, regardless of rice types. For
single rice, significantly positive effects were found for the maximum hourly
precipitation in periods 1 and 4, the proportion in period 3 and the intensity
of extreme precipitation in period 2 (Fig. 6a). For early rice, the frequency of extreme
precipitation in period 3 has significantly negative effects on yield
variability (r = − 0.49, p < 0.001). The effects of maximum hourly
precipitation in the former three periods were opposite in direction to the
frequency (r = 0.23 to 0.36; Fig. 6b). For late rice, inter-annual variability
of rice yield was negatively related to the intensity of extreme precipitation
in period 3 (r = − 0.48, p = 0.03) and to the proportion in period 2
(r = − 0.25, p = 0.009). In addition, positive relationships were found for
maximum hourly precipitation in period 3, the frequency in period 1, and the
intensity in period 2 (Fig. 6c).
Figure
6
Regression coefficients (± S.E.)
show the magnitude of the effect of each variable in a multiple regression. (a)
Single rice (n = 713); (b) early rice (n = 279); (c) late rice
(n = 279). Asterisks indicate the significance of each predictor.
***p < 0.001; **p < 0.01; *p < 0.05. P1 to P4 represent the four
growth periods. Figures were generated in R version 3.6.0 (www.r-project.org)64.
Discussion
Our analyses based on
observations from 1,215 stations revealed that hourly extreme precipitation
have significantly increased in 1961–2012 for single rice and early rice in
China but not for late rice. This dataset owned higher spatial and temporal
resolutions than previous studies. For instance, Zhang and Zhai31 examined
hourly precipitation trends using the data from 480 stations from May to
September in 1961–2000. This study found a positive trend of the frequency
(2.5–7.5% per decade) in Northeast China and the middle and lower reaches of
the Yangtze river Basin, while not evident for the intensity. Li et al.29 analyzed
the hourly precipitation data of 1,141 stations during 1982–2012, indicating a
relatively low increment trend (< 1% per decade) of the frequency located in
south China and Huang-Huai-Hai Plain, and even a decrease in Sichuan and
northeast China. Such discrepancies indicated the effects of time period and
available stations on the spatiotemporal patterns of hourly extreme
precipitation. In addition, the analysis presented in this study helped
describing the large variations in historical trend of extreme precipitation
across rice producing regions of China.
This study is the first time to
quantify the characteristics of extreme precipitation by rice growing periods.
Results suggest that the rice growth are mainly exposed to extreme
precipitation events at earlier stages. This is comparable to previous studies
that presented the risks of extreme precipitation only at regional scale. For
example, Xu et al.32 stated
that over 60% of 52 stations in Jiangsu province showed increasing trends of
the frequency and intensity of daily extreme precipitation during June–August
of 1961–2012. Thus, our study based on the observations from 1,215 stations
over the past five decades provides comprehensive information, which may be
beneficial for farmers or policy makers to optimize their rice-cropping systems
to adapt extreme precipitation.
The frequency and proportion of
extreme precipitation were negatively correlated with historical yields of
early or late rice, especially in southeast coastal area where were the major
rice producing areas of China. Such negative correlations were also found in
Hainan Island33, southeast China34 and
India35. The findings
have several policy implications for adapting extreme precipitation events.
First, optimizing farm management measures (e.g. shallow-wet irrigation,
reseeding and fixing) and investigating in the drainage facilities, including
canals, ponds and pump equipment, can improve drainage efficiencies and
farmer’s adaptive capacity36. Second,
public services, such as providing disaster warning information and technical
guidance, are benefit for farmers' prevention awareness and access to advanced
technologies37. Further,
breeding rice that carry a diversity of resistance genes to environmental
stress seem to be fundamental but with great challenges for agricultural
sustainability in China2.
However, there are still certain
limitations within our analyses. First, the high-resolution (1 × 1 km)
maps of rice paddy were helpful to filter meteorological stations close to the
small paddy fields across China, but only reflected spatial distributions from
1990 to 2010. We then compared the meteorological stations selected by two
additional union sets of rice paddy layers: one was from the History Database
of the Global Environment (HYDE 3.2.1)38 at
5-arc-min scale, the other one was from the high-resolution maps which were
used in this study but resampled into a 5-arc-minute grid dataset.
Supplementary Figure S11 indicate that ~ 20% of meteorological
stations were not overlapped, mainly in southwest China and the North China
Plain. This result implied that the assumption that the pattern remained
unchanged before 1990 may introduce additional uncertainties39,40. Second, the
number of meteorological stations is 40% less before 1980, which would distort
the regionally averaged trend analyses41. Sensitivity
analysis was then conducted to determine the consistency of regional trends
using different group of stations. The regional trends of extreme precipitation
indices were insensitive to the number of meteorological stations, except for
the intensity of extreme precipitation that showed opposite trends between two
different groups of station (294 v.s. 803 for single rice, 220 v.s. 412 for
double rice, Supplementary Fig. S12). Third, the 95th percentile thresholds
were defined using the records in 1981–2010, because of the maximum number of
stations meeting the strict data availability requirements. We thus analysed
the sensitivity of the 95th percentile thresholds to different base periods
(1981–2010, 1976–2005, 1971–2000, 1971–2010, and 1961–2012). Fortunately,
Supplementary Table S7 indicated a small differences
(< 4%) in the 95th percentile thresholds between them. Last, the
spatiotemporal pattern of extreme precipitation indices may be sensitive to the
length of time periods. Additional analyses in Supplementary Figs. S13–S16 indicated an obvious difference in the
temporal trend of extreme precipitation indices between the whole time period
(1961–2012) and shorter periods (1990–2010 and 1980–2010). However, there are
no obvious discrepancies in the mean values or spatial patterns.
In addition, our study only
focused on the association of crop growth in response to extreme precipitation,
but the underlying mechanisms remains elusive. This still limits our capabilities
of using land surface models to simulate the response of crop phenology or
morphology to extreme precipitation events42,43. At present, most
of land surface models considered the precipitation as a factor to regulate
soil water content44,45 and
nutrient losses via runoff and leaching46, but
neglected the physical and physiological effects of extreme precipitation on
crop growth17,18,47,48. In addition,
the models are unable to reflect the spatial and temporal variations of the
response of crop growth to extreme precipitation. Therefore, the long-term goal
is to uncover the mechanisms and quantify the risks of extreme precipitation on
rice growth, which in turn strengthens the predictability of the models in
response to extreme precipitation.
Methods
Definitions
Four extreme precipitation
indices were calculated not only in the entire rice-growing season but also for
each growing period. The 95th percentile was selected as a threshold to
represent extreme precipitation, which was recommended by the ETCCDI49. All hourly
precipitation above 0.1 mm occurring throughout the base period
(1981–2010) were sorted in ascending order at each station to determine the
threshold50,51. The base
period was chosen based on the rules of maximizing the number of stations
meeting the strict data availability requirements52. Four extreme
precipitation indices were used to characterize extreme hourly precipitation
during rice growing season (Supplementary Table S1), including three percentile-based indices
(the frequency, intensity and proportion of extreme hourly precipitation) and
one absolute indices (maximum hourly precipitation, i.e., max 1 h). The
frequency was defined as the fraction of the number of hours when hourly
precipitation exceeded the 95th percentile threshold to the length of the
growth period in hours. The intensity was calculated as the mean of extreme
hourly precipitation. The proportion was defined as the ratio of the amount of
extreme precipitation to total precipitation amount. Further details of these
indices are shown in Supplementary Table S1.
Datasets
Hourly precipitation dataset was
obtained from the National Meteorological Information Center of the China
Meteorological Administration (https://data.cma.cn/en). Observations were
collected from 2,420 nationally distributed meteorological stations during the
period 1961–2012. Precipitation was automatically measured by either
tipping-bucket or self-recording siphon rain gauge, with strict quality
assurance including the climatological limit value test, the time consistency
check, and the internal consistency check28,29. An entire
year of observations would be removed from the dataset if there were more than
2% of hourly observations missing in that year. Two types of stations were also
excluded from our analysis: (i) stations with the observation period less than
30 years, and (ii) stations with inconsecutive observations in more than
10% of the observation year. After that, missing values were still around 0.2%
of the total population, which have little impact on our results.
The hourly precipitation dataset
was further filtered only for the rice-growing season across China’s rice
paddies. First, a gridded rice paddy map at the spatial resolution of
1 × 1 km was developed as the union set of land use layers derived from
the Landsat during the period 1990–201053, where
assumed the pattern remained unchanged before 1990. Second, the meteorological
stations were selected if there were rice paddies located within a buffer zone
within 20 km in radius. The final dataset contains the hourly
precipitation observations from 1,215 stations (i.e., 813 for single rice and
412 for double rice; Supplementary Fig. S1). The selected stations were evenly
distributed across China’s rice paddies that well represented the contrasting
environmental conditions compared to the selections using larger or smaller
buffer zones (i.e., the radius of 10 km, 30 km, and 50 km).
Third, the hourly precipitation observations were extracted from the period
from rice transplanting to harvesting stage. Phenological information for
single and double rice were retrieved from the agro-meteorological field
observation network54,55, including
the period from transplanting to tillering (period 1), the period from the end
of tillering to the end of flowering (period 2), the period from the end of
flowering to doughty (period 3), and the period from maturity to harvesting
(period 4) in each of 45 rice-cropping sub-regions (Supplementary Figs. S1, S2 and Supplementary Table S2). Recent studies suggest that the length of
rice growing period hardly varied, i.e. on average 1.0, 0.2 and 2.0 day
per decade increase during 1991–2012 for early, late and single rice,
respectively54. Therefore,
rice phenology was kept constant throughout all the observation periods in this
study.
Statistical
analysis
To determine the significance of
extreme precipitation indices between rice types and rice growing periods,
homogeneity tests were carried out. According to the results of Shapiro–Wilk
test, extreme precipitation indices are not normally distributed. Therefore,
the difference of extreme precipitation indices between single rice and double
rice was tested for the entire rice season using nonparametric Mann–Whitney U
test. Wilcoxon signed-rank test, which is suitable for paired sample, was used
to test the differences between early rice and late rice for the entire rice
season, and between four rice growing periods.
Temporal trends were examined for
extreme precipitation indices for the 1,215 stations during each rice-growing
period from 1961 to 2012, and for each rice type. Trend detection were carried
out by Mann–Kendall nonparametric test (M–K test)7,56. A positive Z
value indicates an increasing trend while a negative Z value indicates a
decreasing trend. The statistical significance was assessed at the 5% level. In
addition, Sen’s slope estimator was applied to quantify the trend of extreme
precipitation indices during 1961–2012. The slope is the median among all
combination of calculations. The M–K test was based on the assumption that the
time series was independent since serial correlation could lead to unreliable
statistical significance of trend57,58. Therefore,
autocorrelation test for each extreme precipitation index at each station was
performed before applying the M–K test. The lag-1 serial autocorrelation
coefficients were not significant, suggesting that the time series were
independent and the following trend analysis could be applied to the original
values of time series.
We conducted the correlation
analysis between rice yield and extreme precipitation during rice growing
periods. Rice yield data were obtained at the provincial level during the
period 1981–2012 from the National Bureau of Statistics (https://www.stats.gov.cn/english/).
Four extreme precipitation indices were determined as area-weighted average
value when being aggregated from sites into provincial level. The corresponding
area for each station was determined based on Thiessen polygon. Prior to
correlation analysis, we used the first-order difference method to detrend both
crop yields and extreme precipitation indices59. This method
can avoid the effects due to non-climatic factors (e.g., technology and
management improvements). Spearman rank correlation coefficients were then
calculated by rice type and province.
We further conducted multiple
linear regression models for each of three rice types to test whether rice
yield variability depended on extreme precipitation indices across provinces
and time periods. In addition to extreme precipitation, each regression model
included growing-season accumulated precipitation, mean temperature and mean
solar radiation that were considered as effective variables explaining crop
yield variability in previous studies60,61,62. It should be
noted that extreme precipitation indices by growth period were initially
considered in regression models63. These three
predictor variables were extracted from the China Meteorological Forcing
Dataset (https://doi.org/10.6084/m9.figshare.c.4557599.v1),
but further aggregated as area-weighted average values at the provincial scale.
For each regression model, we filtered the predictor variables to avoid
collinearity between them using Variance Inflation Factors (VIFs) and
minimizing the number of variables until all remaining variables fell within
the predetermined threshold (i.e., VIF < 5). Because predictors included in
the models were measured in different units and have various ranges of values,
we standardized each of them, across all provinces and over the full time
period, to have zero mean but its own unique variance. Such standardization
performed before analyses, and enabled quantitative comparisons of the
resulting model coefficients for the predictor variables. To avoid
over-fitting, each regression model was then simplified using the Akaike
Information Criterion (AIC) values by the implementation of stepwise
regression.
Data
availability
All data used in figure creation
are publicly available online at https://figshare.com/articles/Extreme_precipitation_Dataset_of_China/12115563.
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Acknowledgements
This study was supported by the
National Natural Science Foundation of China (41977082; 41530528), the National
Key Research and Development Program of China (2016YFD0800501), and the China
Postdoctoral Science Foundation (2019M650313). We acknowledge the data
providers for hourly precipitation dataset from the National Meteorological
Information Center of the China Meteorological Administration.
Author
information
Author
notes
1.
These authors contributed
equally: Yiwei Jian and Jin Fu.
Affiliations
1.
Laboratory for Earth Surface
Processes, Sino-France Institute of Earth Systems Science, College of Urban and
Environmental Sciences, Peking University, Beijing, 100871, People’s Republic
of China
Yiwei Jian, Jin Fu, Bengang Li & Feng
Zhou
Contributions
F.Z. designed research; Y.W.J and
J.F. performed research. Y.W.J., J.F. and Z.F. wrote the paper. B.G.L. provided
the precipitation dataset. All authors discussed the results and commented on
the manuscript.
Corresponding
author
Correspondence to Feng Zhou.
Ethics
declarations
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Jian, Y., Fu, J., Li, B. et
al. Increased extreme hourly precipitation over China’s rice paddies
from 1961 to 2012. Sci Rep 10, 10609 (2020).
https://doi.org/10.1038/s41598-020-67429-0
Bua rice farmers to benefit from new harvester
Elenoa TuragaiviuEditor Northeosborne@fbc.com.fj | @ElenoaFBCNews
OVER 100 RICE FARMERS IN BUA ARE EXPECTED TO BENEFIT FROM A NEW $60,000 COMBINED RICE HARVESTER HANDED OVER BY THE PRIME MINISTER VOREQE BAINIMARAMA TODAY.
Over 100 rice farmers in Bua are expected to benefit from a new
$60,000 combined rice harvester handed over by the Prime Minister Voreqe
Bainimarama today.
The harvester was donated by the Chinese government and is
expected to address issues faced by the rice farmers.
Speaking at the handing over this afternoon, Bainimarama says the
harvester will address labour issues faced by the rice farmers and
significantly cut down harvesting time.
He says government will continue to assist rice farmers in every
step of their farming from the provision of seeds, to planting, harvesting and
milling.
The Prime Minister told the farmers, obtaining the rice harvester
will make them a modern rice farming community.
Vanua Levu Rice Farmers Association Secretary Suresh Chand says
after decades of manual rice harvesting, this is the first time that rice
farmers in Bua will be using a machine to harvest their rice.
He says the rice harvester can harvest in two hours a field of
rice that would normally take two weeks to harvest manually.
Cambodia’s Food Crisis In A Pandemic
Athira
Nortajuddin
30
June 2020
People buy fruit at an early morning produce
market in Phnom Penh on 12 June, 2020. (AFP Photo)
The coronavirus crisis has severely affected
livelihoods, local industries and the economy in general. It has also disrupted
world trade, supply chains and also the production of food and agricultural
products and commodities. According to Samarendu Mohanty, Asia Regional
Director at the International Potato Center, the production of wheat and rice
in Asia would be heavily impacted if lockdowns to curb the pandemic and virus
restrictions continue to be enforced.
“If the situation lets up by the end of the
month, we will still be okay to get in our normal planting. But the monsoon
season where the most rice is normally produced is from mid-May to early July,
so if we do not get the rice planted by then, we’ll see ripple effects start,”
Mohanty explained to the media last April.
Some of the likely effects would include food
supply shortages, leading to a full-blown food crisis.
OneWorld Foundation India, an organisation that
works in the field of Information and Communication Technologies (ICTs) for
social and sustainable development, recently released a publication which
discusses the possibility of a food crisis in Cambodia due to the COVID-19
pandemic.
Source: Various
The article stated that an estimated 70 percent
of Cambodia’s farmers engage in subsistence agriculture by primarily taking
loans and repaying them after the harvest season.
The agriculture sector in Cambodia is reported
to be responsible for the generation of more than 20 percent of the country’s
gross domestic product (GDP) and employs around 30 percent of the population.
Over the past 30 years, the ASEAN member state has grown its economy by 7.5
percent on average, reducing the poverty rate from around 50 percent to 10
percent of the population. But like other countries around the world, the
pandemic is threatening not only the health of its citizens but also Cambodia’s
economy. The COVID-19 pandemic has contributed to a rise in
unemployment and loss of sources of income, especially for
informal workers. This makes it harder for them to repay their loans and many
are buried in great debt.
“After the Mekong River crisis, around 45,000
hectares of rice farms were damaged creating a debt crisis for poor farmers.
Consumers on the other side of the spectrum have been hit hard by a lack of
food supplies, rise in prices of staple foods and a halt in income due to
COVID-19,” noted the organisation.
Other than that, the presence of Chinese dams
and the effects of climate change along the Mekong basin have caused
drought-like conditions leading to poverty and food insecurity in the country.
This has impacted both, farmers growing rice on their fields and also
fishermen, who have reported a drop in fish volume by as much as 60 to 70
percent.
The World Food Programme (WFP) has stated that
79 percent of the Cambodian population lives in rural areas and they are on the
“front-line of a changing climate”. Floods and droughts frequently threaten the
food system and will only increase in frequency and intensify in the
future.
Cambodia will face a two-pronged attack on its
food security, according to OneWorld Foundation India. The first one is a
slowdown in its supply-side activities as COVID-19 preventive measures have
subsequently caused a shortage of labour for the agriculture sector. Coupled
with the drought problem in the region, the situation seems dire. This would
inherently affect income equalities and food supply chains for the larger public.
Secondly, it was reported that prices of staple
foods in Cambodia have increased recently. As many have lost their jobs due to
the economic shocks of the pandemic – this will impact the demand of food items
such as rice and fish as buyers are less able to afford them.
“As countries strive to be more self-sufficient
and reduce import-dependency by promoting local supply chains, the Mekong River
Basin could be heading towards post-COVID-19 food insecurity.”
The International Fund For Agricultural
Development (IFAD), a specialised agency of the United Nations (UN) that works
to address poverty and hunger in rural areas of developing countries, said that
together with the government of Cambodia, it is working to expand prospects
for smallholder farmers through “enhanced production support
and through focusing on the appropriate value chains and commodities to ensure
adequate food production and dietary diversity.”
The Agricultural Services Programme for
Innovation, Resilience and Extension (ASPIRE) project, led by Cambodia’s
Ministry of Agriculture, Forestry and Fisheries (MAFF), is reported to be
focusing on maintaining the production of green leafy vegetables and chicken
eggs as key components of the local diet. Whereas the Ministry of Commerce
(MOC)-led Accelerating Inclusive Markets for Smallholders (AIMS) project is
reorienting some of its resources to provide on-farm irrigation assistance to
farmers to support their production of commodities.
Restrictions on rice exports eased in Myanmar as demand rises
30 JUN 2020
Farmers
seen working at the field in Kyee Tan village, Twan Tay township, Yangon on
June 29. Photo: Mar Naw/The Myanmar Times
The authorities have extended the validity period of rice export
licenses to 60 days from July to September now that the number of people
testing positive for COVID-19 appears to be declining, said U Nay Lin Zin,
joint secretary of the Myanmar Rice Federation
The expiry period of the licenses had been slashed by half to 45
days since March, when the first cases of COVID-19 were detected in Myanmar,
according to the Myanmar Rice Federation.
"The term of the licenses was for 90 days before COVID-19.
We reduced this to 45 days during COVID-19. Now, the infection rate has
declined and so we have raised it to 60 days. We will adjust it to 90
later," said U Nay Lin Zin.
He added that export quota restrictions have also been removed.
"In the past, one company had to export 300 tonnes or 500 tonnes of rice
to meet the quota. Now, we have removed the quota so traders can export as much
as they want. But, there is policy that they must contribute rice to the
country's reserves," he said.
The country expects to export up to 150,000 tonnes of rice per
month in July and August and around 100,000 tonnes in September, according to
the Myanmar Rice Federation.
Between October 1, 2019 to June 12, the country exported more
than 2 million tonnes of rice and broken rice, generating US$600 million in
revenues.
More than 13 percent of the exports were conducted at the border
with China while the remaining crops were shipped overseas to countries like
Malaysia, Belgium and Senegal.
More recently, Myanmar also inked a bilateral agreement to ship
70,000 tonnes of rice to the Philippines, according to the Myanmar Rice
Federation.
Demand from Thailand has also risen. This month, Thai merchants
offered to purchase broken rice powder from Myanmar after an agreement to
exempt the country from taxes was made, according to the Ministry of Commerce (MOC).
"We received approval to export powdered rice instead of
broken rice. Thailand offered to buy," U Khin Maung Lwin, assistant
secretary of the MOC, told The Myanmar Times.
About 100 tonnes of rice powder is being exported on an average
every two days and grinding is done in the factories in Myawady industrial
zone, he said, adding the authorities will support more construction of
grinding factories in that region.
"Thailand levies a 52pc tax on broken rice but there are no
taxes in powder form. They want to buy as much as we can supply," U Aung
Myint Oo, rice merchant and director at Klohtoo Wah Co Ltd. - Translated
FCI currently has 266.29 LMT rice
and 550.31 LMT wheat: Report
Tuesday,
30 June, 2020, 14 : 00 PM [IST]
|
Our
Bureau, New Delhi
|
Top
of Form
Total
food grain stock
As
per the Food Corporation of India report dated June 28, 2020, FCI currently
has 266.29 LMT rice and 550.31 LMT wheat. Hence, a total of 816.60 LMT food
grain stock is available (excluding the ongoing purchase of wheat and paddy,
which have not yet reached the godown). About 55 LMT food grains is required
for a month under NFSA and other welfare schemes.
Since
the lockdown, about 138.43 LMT food grains have been lifted and transported
through 4,944 rail rakes. Apart from the rail route, transportation was also
done through roads and waterways. A total of 277.73 LMT has been transported.
21,724 MT grains was transported through 14 ships. Total 13.47 LMT food
grains have been transported to the North-Eastern states.
Food
grain distribution to migrant labourers: (Atmanirbhar Bharat Package)
Under
Atmanirbhar Bharat package, Government of India has decided that 8 LMT food
grains will be provided to about 8 crore migrant labourers, stranded and
needy families, who are not covered under NFSA or State scheme PDS cards. 5
Kg of food grain per person is being distributed free of cost for the months
of May and June to all migrants. The states and UTs have lifted 6.39 LMT of
food grains. States and UTs have distributed 99,207 MT of food grains to
total 209.96 lakh (in the May 120.08 lakh and in June 89.88 lakh)
beneficiaries.
The
Government of India also approved 39,000 MT pulses for 1.96 crore migrant
families. Some 8 crore migrant labourers, stranded and needy families, who
are not covered under NFSA or State scheme PDS cards will be given 1 kg of
gram/dal per family for the month of May and June for free. This allocation
of gram/dal is being done according to the need of the states. Around
33,968MT gram/dal have been dispatched to the states and UTs. A total 31,868
MT gram has been lifted by various States and UTs.4,702 MT gram has been
distributed by the states and UTs. The Government of India is bearing 100%
financial burden of approximately Rs. 3,109 crores for food grain and Rs 280
crores for gram under this scheme.
Pradhan
Mantri Garib Kalyan Ann Yojana
Food
grain (Rice/Wheat)
Under
the PMGKAY, for the 3 months April-June a total of 104.3 LMT rice and 15.2
LMT wheat is required of which 101.02 LMT rice and 15.00 LMT wheat have been
lifted by various states and UTs. A total of 116.02 LMT food grains has been
lifted. In the month of April 2020, 37.02 LMT (93 %) food grains have been
distributed to 74.05 crore beneficiaries, in May 2020, total 36.49 LMT (91%)
food grains distributed to 72.99 crore beneficiaries and in the month of June
2020, 28.41 LMT (71%) food grains have been distributed to 56.81 crore
beneficiaries. The Government of India is bearing 100% financial burden of
approximately Rs 46,000 crore under this scheme. Wheat has been allocated to
6 states/UTs, - Punjab, Haryana, Rajasthan, Chandigarh, Delhi and Gujarat and
rice has been provided to the remaining states/UTs.
Pulses
As
regards pulses, the total requirement for the three months is 5.87 LMT. The
Government of India is bearing 100% financial burden of approximately Rs
5,000 crore under this scheme. So far, 5.79 LMT pulses have been dispatched
to states/UTs and 5.58 LMT have reached the states/UTs, while 4.40 LMT pulses
has been distributed. A total of 08.76 LMT pulses (Toor-3.77 LMT, Moong-1.14
LMT, Urad-2.28 LMT, Chana-1.30 LMT andMasur-0.27 LMT ) is available in the
stock as on June 18, 2020.
Food
Grain Procurement
As
on June 28, 2020, total 388.34 LMT wheat (RMS 2020-21) and 745.66 LMT rice
(KMS 2019-20) were procured.
Open
Market Sales Scheme (OMSS)
Under
the OMSS, the rates of Rice is fixed at Rs 22/kg and Wheat at Rs 21/kg. FCI
has sold 5.71 LMT wheat and 10.07 LMT rice through OMSS during the lockdown
period.
One
Nation One Ration Card
As
on June 1, 2020, the One Nation One Card scheme is enabled in 20 states/UTs,
namely – Andhra Pradesh, Bihar, Daman & Diu (Dadra and Nagar Haveli),
Goa, Gujarat, Haryana, Himachal Pradesh, Jharkhand, Kerala, Karnataka, Madhya
Pradesh, Maharashtra, Mizoram, Odisha, Punjab, Rajasthan, Sikkim, Uttar
Pradesh, Telangana and Tripura. By March 31, 2021, all remaining states will
be added to One Nation One Ration Card scheme and the scheme will be
operational all over India. The details and status of the scheme in remaining
states/UTs under One Nation One Ration Card is as follows.
|
Kharif sowing is promising, but it’s too early to be upbeat on output
Rajalakshmi
Nirmal BL Research Bureau | Updated on June 30, 2020 Published on June 30,
2020
Only 30% of kharif area covered so far; locust attack, heavy end-monsoon showers pose a risk in some pockets
With the sowing data released by
the Ministry of Agriculture last week, which showed a doubling of the area
sown, the market appears to be anticipating a bumper crop. But, it is too early
to say how the season will fare.
While there is an increase of 220
per cent in the area under pulses compared to last year, it accounts for only
16 per cent of the normal area (as recorded in the past five years) under
pulses in the kharif season. Similarly, in the case of oilseeds, too, while
there is a whopping 500 per cent jump in area sown, of the normal area for the
full season, only 46 per cent has been covered. In rice, while the area sown is
up 35 per cent over the same period last year, it accounts for only 10 per cent
of the normal area in kharif.
Until at least a third of the
area is covered, one can’t guess the quantum of output. The reason why the area
sown is up year-on-year is that last year, the monsoon had a late start and was
deficient during June — to the extent of 30 per cent of LPA (Long Period
Average).
“The sowing has been good this
kharif season because reservoirs were full following last year’s rains; also,
the onset of the monsoon was on time and it has been raining regularly since…so
no encumbrances so far in sowing,” said Jatin Singh, founder and MD, Skymet
Weather Services.
End-season coverage
A BusinessLine analysis
shows that even when the area sown is higher by mid-season in normal monsoon
years, the total area under crops towards the end of the season is not
necessarily higher over the previous year or the average of the last five
years.
A case in point is the year 2016-17. The year had normal monsoon
rains of 97 per cent of LPA. By mid-July, about 66 per cent of the normal area
under pulses in kharif was covered. Oilseeds, cotton and coarse cereals, too,
saw good area covered by mid-July. However, by the end of September, the total
area sown under different crops was higher by only 2-3 per cent, y-o-y. This is
despite 2015-16 being a deficient monsoon year. Pulses were an exception (area
increase by 29 per cent), given that a large number of farmers in Punjab,
Haryana and Rajasthan took to them. The output in 2016-17 kharif was, in fact,
higher than the percentage increase in sown area, implying improvement in
yield.
That said, one can’t be sure if the current kharif season will
end with higher output like 2016-17 season.
“As things stand now, I don’t see any spoilers in the monsoon;
it could end up anywhere between normal and above normal this year,” said
Skymet’s Singh. This is good news, but, if there is a locust/pest attack or
heavy showers during the end of the monsoon, it may impact the yield and result
in lower output.
Locust attack
Swarms of locusts have been spotted in Delhi, Haryana and Uttar
Pradesh, risking standing crops including sugarcane. The Food and Agriculture
Organisation (FAO) has asked India to be on a high alert over the next four
weeks.
The situation update released by
the FAO on June 27 noted that swarms and adult groups were present in Rajasthan
and infestations were also spotted in parts of Madhya Pradesh and Uttar
Pradesh. At least one small group of immature adults moved north in Utter
Pradesh on June 27 during strong winds, reaching the northern districts of
Kushingar and Sidharth Nagar, said the report.
Government neglects rice farmers who lost their farms to bush fires - PFAG
30 June 2020
The Head of Programs and Advocacy for the Peasant Farmers
Association of Ghana, Charles Nyaaba, has said the Ministry of Food and
Agriculture has neglected the rice farmers who lost their farms to bush fires.
He said although the Ministry assured that they were going to be supported, that support has not come, a situation that is having a negative impact on the lives of the farmers.
“Most rice farms were burnt, I personally lost 55 acres of rice fields. We had several engagements with the Ministry of Food and Agriculture and they agreed to compensate the farmers who lost our rice farms so that we will be able to farm this year,’ he said.
He further appealed to the government to assist them secure credit facilities from the banks to enable them carry out their activities in the midst of the COVID-19.
He said the banks are refusing to listen to them whenever they go for loans.
“It will be useful if government could get us inputs like fertilizer or seeds to produce and payback. They could also connect us to the banks for credit at reasonable interest rates.” he said.
“We are pleading with them to pay heed to our pleas. Usually, they don’t listen to our calls. They tell us the banks will support us. But when we go to the banks, they will also not listen to us. We need government to direct the banks to ensure full compliance from them,” he told Citi FM.
He said although the Ministry assured that they were going to be supported, that support has not come, a situation that is having a negative impact on the lives of the farmers.
“Most rice farms were burnt, I personally lost 55 acres of rice fields. We had several engagements with the Ministry of Food and Agriculture and they agreed to compensate the farmers who lost our rice farms so that we will be able to farm this year,’ he said.
He further appealed to the government to assist them secure credit facilities from the banks to enable them carry out their activities in the midst of the COVID-19.
He said the banks are refusing to listen to them whenever they go for loans.
“It will be useful if government could get us inputs like fertilizer or seeds to produce and payback. They could also connect us to the banks for credit at reasonable interest rates.” he said.
“We are pleading with them to pay heed to our pleas. Usually, they don’t listen to our calls. They tell us the banks will support us. But when we go to the banks, they will also not listen to us. We need government to direct the banks to ensure full compliance from them,” he told Citi FM.
Stakeholders Reaffirm Commitment To End Rice Importation
29-Jun-2020
The meeting, organised by the John Ageykum Kufuor (JAK) Foundation brought together the Ghana Rice Inter-professional Body (GRIB), Ghana Commodity Exchange and the Standards Authority to discuss strategies on how to achieve the set target to guard against the practice and also to ensure rice is a sustainable venture in the country. It also brought on board private sector groups who will be working with Ghanaian farmers by providing them with harvesters, and other logistic services.
The meeting was also to see how to support the advocacy, production, processing and marketing issues in the rice value chain.
Further, it was to proffer solutions to how the rice value chain can be developed in the various regions for the country to attain the sustainability in rice production and also
improve the quality of rice grown in Ghana.
Speaking on the sidelines with journalists after the opening session, President of GRIB, Nana Ayeh Adjei II, disclosed that GRIB is expecting, before the end of the year, a mechanization provider company coming in to mop up the paddy rice into the warehouse to ease the issue of late harvesting.
He said the meeting is going to provide plans to how all farmers in the regions will plan to grow quality rice and get good market outlets and prices for the farmer.
Touching on Covid-19, he said it has not had any major impact in the value chain apart from the fact that it has slowed in the retail.
Consumption of local rice, he also said has gone up and want to see a higher rate.
Nana Ama Oppong Duah, Policy Advisor of the John A Kufuor Foundation says the engagement was part of the AGRA and Kufuor Foundation project.
The project is to support advocacy, production, processing and marketing in the value chain, she said.
At the beginning of the year, the stakeholders went around the country twice to mobilize farmers at the regional level, according to her.
Due to coronavirus, the process was stopped but it’s being resumed with the help of Zoom.
Source: Daily Guide
Where are the new young farmers? The picture can be troubling
By AGDAILY Reporters Published: June 29, 2020y AGDAILY Reporters Published: June 29, 2020
For obvious reasons, the most
physically demanding jobs — roofers, pile drivers, fishermen, lumberjacks, take
your pick of many others — are primarily filled by people no older than 40. But
farming, a mixture of hard work and long hours, even as technology automates
some tasks, is a dramatic outlier. The extreme demographic skew towards older
farmers is a global phenomenon, decades in the making. And in its wake is a
worsening crisis reflected by one question: where will the talent come from to
manage the fields in the future?
The numbers paint a troubling
picture. According to global agricultural experts, the average age of farmers
globally is about 60, even in regions like Africa and the Philippines where the
median age of the population is just over 20. And this trend is not new. In the
U.S., the average age of farm operators was 50 in 1978, 57 in 2007 and 59 in 2017 when the USDA conducted its last census.
Some of the blame for this trend
can be laid on the perception that agriculture careers and rural life may not
give young people opportunities like the city. And in many cases, this
perception comes from elders who encourage their children to explore the
possibilities urban life may bring.
“I have yet to have a rice farmer
tell me that they want their children to grow up to be rice farmers,”
said Robert Ziegler, former director general of the
International Rice Institute, at a World Economic Forum meeting.
And as urbanization explodes —
nearly 70 percent of people will live in cities by 2050 — the notion that
agricultural activities can be fulfilling has waned, along with basic common
sense about where our food comes from. (One UK farm expert tells a story of a British school teacher on
a field trip to a farm. The teacher asked the farmer not to milk the cows
because the students would be terrified by the blood from killing the animal).
Economics are also a deterrent
for young people. The financial barriers to entry for owning or running a farm,
particularly in developed regions, have risen significantly. As agricultural
technology and input gains advanced rapidly throughout the 20th century and
into the 21st century — from tractors and tillers to drones, sensors, and seed
genetics — yields improved, increasing the dollar returns from a single field.
For instance, U.S. corn yields increased from fewer than
60 bushels per acre in 1960 to about 164 bpa in 2016. The value of farmland has
also skyrocketed. Taking a recent snapshot, the Global Farmland Index of land prices in 15
global agricultural markets grew by an average annualized rate of 14.8 percent
between 2002 and 2016. Taking a longer view, in 1900 the average
value of a hectare of farmland in the U.S. was about $1,300, adjusted for
inflation. By 2018, that figure had jumped to $10,205.
The combination of expensive
mechanized, high-tech equipment and the cost of agricultural land has driven
initial startup costs for new farmers to prohibitive levels. It has also
greatly extended the time it takes for a return on investment. According to a
survey from the National Young Farmers Coalition of more than 3,500 new young
farmers in the US, finding and affording productive acreage was the primary
impediment in the way of an agriculture career. “We have a lot of older farmers
who are over-capitalized and looking to retire and a lot of younger farmers
under-capitalized with no land,” Eric Skokan, co-owner of Boulder County
(Colorado) Black Cat Farm, told a local newspaper.
To help overcome this impediment,
the U.S. Department of Agriculture has a number of loan programs that, in part, are geared to
new farmers, seeking to make farming demographics younger and more diverse. In
addition, the European Union has a series of agricultural support campaigns
earmarked for youth. Localities in the US are also addressing this issue. Both
Colorado and Minnesota have recently passed first-in-the-U.S. laws that provide
a tax deduction for farmers that sell or rent their land or other agricultural
assets to new farmers.
Mindful of the impact that this
demographic dilemma could have on global food supplies in the future,
policymakers and NGOs are taking steps to alleviate it. In Africa,
organizations like Youth Empowerment in Sustainable Agriculture, Young
Professionals for Agricultural Development and Ayihalo are training thousands
of potential young farmers in modern planting, crop health, and financing
methods for managing a farm. They also serve as youth in agriculture career
advocacy programs. Similar efforts in the US and UK include the National Young
Farmers Coalition and the National Federation of Young Farmers Clubs,
respectively.
Perhaps the best sign that these
skewed farming demographics may improve to some small degree over time, is the
enthusiasm of the relatively small group of younger people willing to give
agriculture a chance. Andrew Barsness, who runs a farm in Hoffman, Minnesota,
wrote a blog post on the National Young Farmers Coalition site. In it, he
described taking over his grandfather’s 280-acre grain farm as an unexpected
turn in his life. “Before the spring of 2011, the idea of becoming a farmer was
completely foreign to me,” Barsness said. “Now I know that there is nothing
that I would rather do for a living. Hardships are inherent in farming. For me
however, the freedom, variety, and entrepreneurship that farming offers make it
as rewarding as it is addictive.”
Still, comments like those
notwithstanding, it’s impossible to say whether large groups of young people
will ever be convinced that farming is a trade worth considering. But after a
recent survey found that two-thirds of US agricultural acreage will need a new
farmer over the next 50 years, it seems clear the situation will be untenable
if young people don’t.
Cuba’s Rice Hunt
By Pedro Pablo Morejon
HAVANA TIMES – Everybody here knows that rice is the mainstay in
the Cuban people’s diets. So much so, that there is a saying that goes: he
won’t eat anymore rice, to refer to the death of an unpleasant animal.
Well, what’s happening with rice in Cuba today reminds me of that
dark time in the 1990s that was euphemistically known as the “Special Period in
Times of Peace.”
Markets are empty and many farmers normally only plant enough for
their own consumption. You can’t find this precious grain pretty much anywhere.
If by some luck, you do find somebody willing to sell it to you, after
traveling half of the world to find it, your pocket will need to be ready to
take a big hit, because you can be charged 20 CUP (0.80 USD) or more per pound,
a little more or less than most Cubans daily earnings.
Many people blame the global economic crisis resulting from the
COVID-19 pandemic for this situation, which has caused serious problems for
rice imports. However, these shortages existed some months before the new
Coronavirus stepped foot in our country, which makes me think it was because of
the Cuban government’s lack of financial liquidity. The reality is that things
have now gotten worse, and the end doesn’t seem to be anywhere in sight.
In April, Cuba’s official press
published an announcement that Vietnam was donating 5000 tons of rice.
According to the prime minister of this Asian country, this gift is to “alleviate
the severity of the blockade’s sanctions and to tackle problems that the new
Coronavirus poses.”
Regardless of this gesture, we know that this amount isn’t even
enough to lighten our current situation, much less help us fix the problem. It
only serves to highlight chronic shortages, not only of rice, but of any food
product, as the manifestation of an economic crisis that our country has been
suffering for decades.
What is the government’s
explanation for this tough situation? Let’s take a look, shall we.
An article recently published Granma, the
Communist Party daily, with the headline “Food production is a matter of
national security” deals with the subject of rice production, as well as of
other foods.
According to the Ministry of Agriculture, the causes of the
current shortage are problems with farm supplies, which led to harvests falling
short of targets, some 22,000 hectares, in the winter season, and that the
spring planting of 4,600 hectares was late..
In order to give a glimpse of hope,
he argued that meetings had been held with national government rice companies,
advising that they meet with rice farmers. “People want to produce rice, we have a rice
program, we have land, water in some places. Cuba needs to produce rice,”
he said.
In another article published by the
official Cubadebate website, under the
headline “Can Cuba produce all of the rice it needs?”, this minister deduced
that it can, saying that we can produce the 700,000 tons the country needs per
year, thereby eliminating imports of this much-needed staple.
Going beyond government explanations and unfulfilled promises, the
reality is that we have been suffering widespread shortages for decades, and
not just of food. However, in this regard, it is utterly unacceptable that
citizens are unable to find enough to eat in a country with water resources and
vast fertile lands. The real cause of so much hardship lies in an economic
model, which has only proven its incompetence, without a shadow of a doubt.
Havana Times Needs Your Help To Continue Publishing in 2020 |
Pedro Morejón
Pandemic
Pesticide Safety Training Guidance Released
WASHINGTON, DC
-- The COVID-19 pandemic is making just about every aspect of life that much
more difficult and fulfilling Pesticide Safety Training requirements under
these conditions is not different. The U.S. Environmental Protection Agency
(EPA) has released welcome guidance on existing flexibilities in the
Agricultural Worker Protection Standard (WPS) available to employers of
agriculture workers, or those who assist in the growing or harvesting of
plants, and pesticide handlers, or those who mix, clean, or assist with the
application of pesticides.
The
Agricultural WPS requires employers to certify that their employees have
obtained pesticide safety training within the last 12 months before allowing
them to work in areas where pesticides are being used. This ensures that
agricultural workers and pesticide handlers are up to date on the latest safety
training regarding pesticides.
The EPA
continues to encourage in-person pesticide safety training if workplace
protections to maintain a healthy work environment can be implemented.
Alternative options to traditional training include conducting training outside
or conducting training in smaller groups. However, amid COVID-19, the EPA has
recognized that it may not be feasible to have this training face-to-face, so
the guidance outlines that training may be conducted virtually. Employers are
still responsible for ensuring that all requirements of the WPS are met
regardless of how the training is conducted. To certify all standards are met,
employers must document completion of training under a qualified trainer. This
is as simple as providing a document to employees with the employer and
trainer's name, the trainer's certification, date of the training and materials
presented.
"This is
welcomed and timely guidance for those of us faced with obstacles due to the
coronavirus pandemic," said David Petter, an Arkansas rice farmer and
chair of the USA Rice Regulatory Affairs and Food Safety Committee. "These
flexibilities will help farmers, millers, and other employers comply with
Worker Protection Standards so we can continue to focus on producing
a safe and nutritious product."
For more
information about this guidance, click here.
USA Rice Daily
Funding for rice farm mechanization
THE decision to set aside the move to import 300,000 metric tons of rice from Vietnam under a government-to-government scheme will save some P8.5 billion that can now be used for more urgent needs of the nation.The Philippines had planned to buy the 300,000 tons of rice as a reserve in case the country incurs a shortage of the Filipino people’s staple food. It did not want to go through the difficult experience of 2018 when market prices hit record heights – an inflation rate of 6.7 percent – that was stopped only when Congress enacted the Rice Tariffication Law that ended all quantitative restrictions on rice imports. With cheap rice available at a low price, inflation quickly dropped in succeeding months; by June, 2019, it was down to 2.7 percent.
With the decision to cancel this year’s planned importation, Secretary of Agriculture William Dar said the government will have P8.5 billion that can be used instead to support the Rice Competitiveness Enhancement Fund (RCEF) under the Rice Tariffication Law. The RCEF calls for a mechanization program to help farmers acquire production and harvest machinery and equipment, promote the development and use of certified seed varieties, expanded credit assistance, and enhanced extension services.
There is now, however, a problem over government budgeting because of the ongoing coronavirus pandemic. The Philippine budget deficit soared in May as tax revenues fell and government spending rose. The budget deficit in May reached P202.1 billion, where there had been a P2.6-billion surplus in May of the previous year, 2019.
Government expenditures in May reached P353.6 billion –up 12 percent from P314.7billion in May of the previous year. These included releases under the law on Bayanihan to Heal as One, including cash grants to over 3 million employees of small enterprises affected by the government’s quarantine measures. Primary government spending also jumped to P335.3 billion from P295 billion in the previous year. At the same time, government income fell by 52 percent in May, due to the closure or suspension of many business operations.
Thus, Secretary Dar may not get his wish that the P8.5 billion saved in the decision to scrap this year’s rice importation from Vietnam be used instead to push rice farm modernization. There simply are so many emergency expenses arising from the coronavirus pandemic that that must be funded.
But this should not detract from the fact that the Philippine rice industry needs to rise to higher levels of development as it occupies a central role in the Philippine economy. Whatever happens in the country, Filipinos simply need to have their rice.
We have the needed resources – the land, water, high-yielding varieties developed by our own scientists. Studies have shown that the principal need of our rice industry is increased mechanization – tractors and harvesters. That is why in the Rice Competitiveness and Enhancement Fund, 50 percent of its proposed P10-billion annual appropriation is to be for farm machinery and equipment. The balance is 30 percent for rice seed development and propagation, 10 percent for expanded credit assistance, and 10 percent for extension services.
When this coronavirus emergency is over, hopefully within a year, our officials should make an all-out effort to fund the RCEF, especially its mechanization program, so we can become sufficient in rice, our nation’s staple food.
Lockdown Recipe of the Day: Fabulous Seafood Curry
By Gordon Wright• 30 June 2020
A good curry made from scratch is a lot less hassle than you think. One of the major benefits is that you get such a good range of flavours and you can also control precisely how hot you would like it.
One of the nice things about a seafood curry is that it is very quick to prepare; just be sure to use nice fresh seafood and don’t overcook it. I like to put in a bunch of different seafood but this works well with even just a bit of nice fresh fish.The tamarind is very important in this recipe, as is the fact that you must use firm white fish. Oily and game fish do not work as well and tend to fall apart too much.
Ingredients
Serves 4-6
4 tbsp coconut oil
1 tbsp yellow mustard seeds
1 large onion, finely chopped
3 garlic cloves, finely crushed
+-30 fresh curry leaves
2 tsp chilli powder
2 tsp ground coriander
2 tsp ground turmeric
1 x 400g can peeled chopped tomatoes
250ml tepid water mixed with 1 heaped tsp tamarind paste (can substitute this with equal parts lime juice + brown sugar mixed – about 50ml)
100ml cream
2 green chillies, each sliced lengthways into 6 pieces, with seeds
1 tsp salt
500g firm white fish / prawns etc (whatever seafood you prefer)
Boiled basmati rice, to serve
Method
1. Heat the oil in a heavy-based saucepan over a medium heat. When hot, add the mustard seeds and fry for 30 seconds, then stir in the onion and garlic and fry gently for about 5 minutes, or until softened and lightly golden brown.
2. Add the curry leaves, chilli powder, coriander and turmeric and fry for two minutes, then stir in the tomatoes, tamarind liquid, green chillies and salt and simmer for about 10 minutes, or until rich and reduced. Add the fish, cook for a further 5-10 minutes or until fish is cooked, stir in the cream slowly and serve with basmati rice. DM/TGIFood
Our Thank God It’s Food newsletter is sent to subscribers every Friday at 6pm, and published on the TGIFood platform on Daily Maverick. It’s all about great reads on the themes of food and life. Subscribe here.
Send your Lockdown Recipes to tony@dailymaverick.co.za with a hi-resolution horizontal (landscape) photo.
Thank God It’s Food is sponsored by Pick n Pay.
First published in Gordon Wright’s book Karoo Food (Penguin/Random House)
https://agriculture.einnews.com/article_detail/520639762/y2Q2z--3br-YFQQx?n=2&code=VuZLay2YinrVF2-0&utm_source=NewsletterNews&utm_medium=email&utm_campaign=Basmati+Rice+News&utm_content=article
https://agriculture.einnews.com/article_detail/520639762/y2Q2z--3br-YFQQx?n=2&code=VuZLay2YinrVF2-0&utm_source=NewsletterNews&utm_medium=email&utm_campaign=Basmati+Rice+News&utm_content=article
Scientists develop novel predictable multi-nucleotide deletion systems in plants
Credit: IGDB
Many small regulatory elements, including
miRNAs, miRNA binding sites, and cis-acting elements, comprise only 5~24
nucleotides and play important roles in regulating gene expression,
transcription and translation, and protein structure, and thus are promising
targets for gene function studies and crop improvement. The CRISPR-Cas9 system has been widely applied in genome engineering. In this system, a sgRNA-guided Cas9 nuclease generates chromosomal double-strand breaks (DSBs), which are mainly repaired by nonhomologous end joining (NHEJ), resulting in frequent short insertions and deletions (indels) of 1~3 bp. However, the heterogeneity of these small indels makes it technically challenging to disrupt these regulatory DNAs. Thus, the development of a precise, predictable multi-nucleotide deletion system is of great significance to gene function analysis and application of these regulatory DNAs.
A research team led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences (CAS) has been focusing on developing novel technologies to achieve efficient and specific genome engineering. Based on the cytidine deamination and base excision repair (BER) mechanism, the researchers developed a series of APOBEC-Cas9 fusion-induced deletion systems (AFIDs) that combine Cas9 with human APOBEC3A (A3A), uracil DNA-glucosidase (UDG) and AP lyase, and successfully induced novel precise, predictable multi-nucleotide deletions in rice and wheat genomes.
"AFID-3 produced a variety of predictable deletions extending from the 5?-deaminated Cs to the Cas9 cleavage sites, with the average predicted proportions over 30%," said Prof. GAO.
The researchers further screened the deamination activity of different cytosine deaminases in rice protoplasts, and found that the truncated APOBEC3B (A3Bctd) displayed not only a higher base-editing efficiency but also a narrower window than other deaminases.
They therefore replaced A3A in AFID-3 with A3Bctd, generating eAFID-3. The latter produces more uniform deletions from the preferred TC motifs to double-strand breaks, 1.52-fold higher than AFID-3.
Moreover, the researchers used the AFID system to target the effector-binding element of OsSWEET14 in rice, and found that the predictable deletion mutants conferred enhanced resistance to rice bacterial blight.
AFID systems are superior to other current tools for generating predictable multi-nucleotide targeted deletions within the protospacer, and thus promise to provide robust deletion tools for basic research and genetic improvement.
The team's scientific paper, entitled "Precise, predictable multi-nucleotide deletions in rice and wheat using APOBEC-Cas9," was published in Nature Biotechnology.
###
This research was supported by grants from the
Strategic Priority Research Program of CAS, the National Transgenic Science and
Technology Program and the National Natural Science Foundation of China.
Here's a quick monitor of Washington farm and
trade policy issues from DTN's well-placed observer.
Ernst
Holding Up EPA Nominee
Sen. Joni Ernst, R-Iowa, said she will block
President Donald Trump's nomination of Doug Benevento to be EPA's Deputy
Administrator from advancing until the agency reveals how it plans to handle
the dozens of new requests from refineries for exemptions from their biofuel
requirements.
“Until EPA tells us exactly what they plan to
do with the 'gap year' waivers, Mr. Benevento does not have my vote,” Ernst
said in a statement. “Iowa's hardworking ethanol and biodiesel producers are
sick of being yanked around by Andrew Wheeler and the EPA. Our producers need
certainty; until we get that, no EPA nominee is getting my vote.”
Benevento is currently EPA associate deputy
administrator and was nominated in February to take the number two post at the
agency.
Holds are not new in the world of Congress, and
EPA nominations have been a target previously, with Sen. Ted Cruz, R-Texas,
previously holding up an EPA nomination over biofuel policy.
EPA's proposed 2021 biofuel and 2022 biodiesel
levels under the Renewable Fuel Standard (RFS) has been under review at the at
the Office of Management Budget (OMB) and is normally issued in the
late-June/early July timeframe.
USA Rice Daily
US
Rice Industry Calls For End To Duty-Free Treatment Of Rice Under GSP
The U.S. rice industry is calling on the Trump
administration to eliminate duty-free treatment for all rice imports under the
Generalized System of Preferences (GSP) program. The USA Rice Federation filed
a petition in March asking for the action.
More Recommended for You
But the U.S. Trade Representative's office, in
a set of questions to the rice group and countries that would be affected by
the action, noted the U.S. rice industry was still a “significant rice
exporter,” with foreign shipments of $1.9 billion last year.
USTR is asking, “Could you please advise
whether increased rice imports have harmed U.S. rice production or exports, and
if so, how specifically?” Further, they also sought an explanation of the U.S.
parboiling industry, its employment levels and locations, and the “degree to
which it might be injured by imports.”
***
Washington
Insider: Following the US, China Feud
Bloomberg is reporting this week that the
U.S.-China feud is “getting nasty with red tape as a stealth weapon.” The
article says the countries are “moving beyond trade threats to exchanging
regulatory punches that threaten a wide range of industries including
technology, energy and air travel.”
The two have blacklisted each other's
companies, barred flights and expelled journalists -- to the point that the
unfolding skirmish is starting to make companies nervous that the trading
landscape could shift out from under them. “There are many industries where
U.S. companies have made long-term bets on China's future,” said Myron
Brilliant, the U.S. Chamber of Commerce's head of international affairs. Now,
they're “recognizing the risk.”
China will look to avoid measures that could
backfire, said Shi Yinhong, an adviser to the nation's cabinet and a professor
of international relations at Renmin University in Beijing. Any sanctions on
U.S. companies would be a “last resort” because China “is in desperate need of
foreign investment from rich countries for both economic and political
reasons.”
Still, pressure is only expected to intensify
ahead of the U.S. elections in November, as President Trump and presumptive
Democratic nominee Joe Biden joust over who will take a tougher line on China,
Bloomberg said.
Trump has blamed China for covering up the
coronavirus pandemic and accused Beijing of “illicit espionage to steal our
industrial secrets.” Biden, likewise, has described President Xi Jinping as a
thug, labeled mass detention of Uighur Muslims as unconscionable and accused
China of predatory trade practices.
And, on Capitol Hill, Republicans and Democrats
have found rare unity in their opposition to China, with lawmakers eager to
take action against Beijing for its handling of COVID-19, forced technology transfers,
human rights abuses and its tightening grip on Hong Kong.
China has repeatedly rejected U.S. accusations
over its handling of the pandemic, Uighurs, Hong Kong and trade. China also has
fired back at the Trump administration for undermining global cooperation and
seeking to start a “new cold war.” Foreign Minister Wang Yi last month said
China had no interest in replacing the U.S. as a hegemonic power, while adding
that the U.S. should give up its “wishful thinking” of changing the country.
Both sides have already taken a series of
regulatory moves aimed at protecting market shares. For example, the U.S. is
citing security concerns in blocking China Mobile Ltd., the world's largest
mobile operator, from entering the U.S. market. It's culling Chinese-made
drones from government fleets and discouraging the deployment of Chinese
transformers on the power grid. The administration has also tried to constrain
the global reach of China's Huawei Technologies Co., the world's largest
telecommunications equipment manufacturer.
Meanwhile, China prevented U.S. airline flights
into the country for more than two months and, after the U.S. imposed visa
restrictions on Chinese journalists, it expelled American journalists. It has
stepped up its scrutiny of U.S. companies, with China's state news agency
casting one probe as a warning to the White House. China also has long made it
difficult for U.S. telecommunications companies to enter its market, requiring
overseas operators to co-invest with local firms and requiring authorization by
the central government.
One of the most combustible flash points has
been the administration's campaign to contain Huawei by seeking to limit the
company's business in the U.S. and push allies to shun its gear in their
networks.
After suppliers found work-arounds, Commerce in
May tightened rules to bar any chipmaker using American equipment from selling
to Huawei without U.S. approval, a step that could constrain virtually the
entire contract chipmaking industry. Although Huawei can buy off-the-shelf or
commodity mobile chips from a third party, such as Samsung Electronics Co. or
MediaTek Inc., going that route could force it to make costly compromises on
performance in basic products.
Bloomberg thinks that both the U.S. and China
have ample opportunities to ratchet up regulatory pressure. A bill passed by
the Senate last month could prompt the delisting of Chinese companies from U.S.
stock exchanges if American officials aren't allowed to review their financial
audits.
And last week, as the U.S. State Department
imposed visa bans on Chinese Communist Party officials accused of infringing
the freedom of Hong Kong citizens, a senior official made clear the move was
just an opening salvo in a campaign to force Beijing to back off new restrictions
on the city.
Companies are still lured to China and its
massive local market – and tensions with the U.S. don't overcome the Asian
superpower's appeal. Just one-fifth of companies surveyed by the American
Chamber of Commerce in China late last year said they had moved or were
considering moving some operations outside of the country, part of a three-year
downward trend.
However, China is no longer the lowest-cost
manufacturer and companies are increasingly reluctant to invest there, said
James Lewis, director of the Technology Policy Program at the Center for
Strategic and International Studies in Washington. “Everyone would like to be
in the China market – everyone wants it to be like 2010-- but things are
changing.”
So, we will see. Certainly, the pre-election
tensions amplify trade uncertainties, large and small. And, they boost the
stakes involved – a making it essential for producers, as well as others, to
watch this policy “dance” closely as changes and shifts emerge, Washington
Insider believes.
Want to keep up with events in Washington and
elsewhere throughout the day? See DTN Top Stories, our frequently updated
summary of news developments of interest to producers. You can find DTN Top
Stories in DTN Ag News, which is on the Main Menu on classic DTN products and
on the News and Analysis Menu of DTN's Professional and Producer products. DTN
Top Stories is also on the home page and news home page of online.dtn.com.
Subscribers of MyDTN.com should check out the US Ag Policy, US Farm Bill and
DTN Ag News sections on their News Homepage.
If you have questions for DTN Washington
Insider, please email edit@dtn.com
Grant us access to credit, seed inputs to avert possible rice shortage – PFAG to govt
The Head of Programs and Advocacy for the Peasant Farmers Association of Ghana (PFAG) has called on government to direct banks to ensure full compliance in their provision of credit facilities for rice farmers. According to Charles Nyaaba, government must urgently also furnish them with rice inputs like seeds and fertilizers to aid them in their produce towards averting a possible shortage of rice due to the coronavirus pandemic.“It will be useful if government could get us inputs like fertilizer or seeds to produce and payback. Even if they can connect us with the banks to access credit at a reasonable interest, that will also help us greatly. We’re pleading with government to direct the banks to ensure full compliance from them too,” Mr Nyaaba told GhanaWeb in an interview.
Meanwhile, coronavirus lockdowns in countries that Ghana imports rice from, coupled with disruptions in the global supply chains, could pose some vulnerability to food insecurity in Ghana.
Already, Ghana imports about US$1 billion worth of rice annually to meet a monthly rice demand of 940,000 tonnes. Earlier this year, some producers of rice from the Northern Region were affected by wild fires fueled by the Harmattan winds which destroyed over 300 hectares of rice fields in the region.
Following the disaster, the Ministry of Food and Agriculture made assurances of a compensation to the farmers who lost their farms and produce for the year.
However, some farmers claimed they have since been neglected after engagements with the Ministry. They were concerned about how other farmers took advantage to exploit buyers by demanding that extra big bags of their choice be used to measure their produce.
Send
your news stories to newswires@ghanaweb.com and
via WhatsApp on +233 55 2699 625.