Thursday, May 24, 2018

Rice R&D News -Gene-Editing Technology Is About To Affect Your Shopping Cart

Gene-Editing Technology Is About To Affect Your Shopping Cart

 Janelle / Emily Cho
Thanks to selective gene editing, scientists figured out how to grow a strain of rice with a significantly-enhanced yield without sacrificing the plant’s ability to survive. In two separate tests, the researchers found that the genetically-altered crops produced 25 percent and 31 percent more grain than a naturally-bred strain of rice.
In order to create the new mutant strain of rice, horticulturalists and molecular biologists from the Chinese Academy of Sciences and Purdue University used CRISPR/Cas-9 gene editing techniques to remove specific genes known to suppress growth. They published their work in the journal Proceedings of the National Academy of Sciences (PNAS) which sometimes accepts subpar research from NAS members’ friends or lab members, but in this case the research underwent the peer review process and stood up to academic scrutiny.
What remains unclear about this research is whether it will be used to help combat global hunger, which affects roughly one-ninth of the people on Earth, or if it will just lead to, you know, more rice. The next step for the researchers is to see if the same technique translates to the strains of rice that farmers actually grow.
If the same boost to crop yield happens, then the mutant strains could give rise to a new abundance of food that could potentially help a lot of people in need.
Whether or not it’s used to help the needy, that rice could just as readily end up on your plate. In late March, the US Department of Agriculture announced that it would not place additional regulations on plants that had been altered by selective gene editing techniques like Crispr/Cas-9 as long as those same mutations could hypothetically have occurred in nature. So while a bioluminescent rice/firefly hybrid would probably raise an eyebrow, this high-abundance rice is just fine as far as the USDA is concerned.
While the researchers who found the right combination of genes to edit out argue that expecting their new strain to emerge on its own is not feasible, that’s because of the highly-specific mutations that would need to randomly occur, not because they introduced any non-rice DNA or anything like that.
“It would have taken millions of plants. … This is a real accomplishment that could not have been done without CRISPR,” horticulturalist Ray Bressen of Purdue University said in a press release.

Police Surveillance Is Getting a Helping Hand from…Amazon!

 Frédéric BISSON / Emily Cho
Amazon! They market things they want you to buy, like books, Prime subscriptions, and sauté pans. They do this well, because you probably buy things from Amazon, or know someone who does. They also now actively market their artificial intelligence-powered facial recognition software, Rekognition, for use in police surveillance. And yes, they also this well, too.
Documents obtained by the American Civil Liberties Union (ACLU) reveal that Amazon has been working with governments and police departments to build up advanced surveillance systems in a number of counties and states.
While Rekognition has been used by police in Washington County, Oregon to search for suspects for the past year and a half, according to Amazon, the newly-released documents reveal the extent to which mass surveillance programs are being developed with Amazon’s cooperation.
These programs can include using all the cameras already found around a city to give police information on the activity of any “person of interest” as they appear on screen. They could even involve building Rekognition software into the body cameras that police allegedly wear to increase transparency and public accountability (even though the cameras tend to mysteriously malfunction at inopportune moments).
Amazon Rekognition is capable of scanning video feeds and images for up to a hundred faces at once. Rekognition can find, identify, and track people in real time, and was recently used for a cute-yet-ethically-dubious“who’s who?” broadcast of the recent royal wedding.
As the ACLU argued today in their letter to Amazon CEO Jeff Bezos, who touts his company as being exceptionally “customer-centric,” encouraging and even allowing police to use such advanced surveillance technology undermines people’s rights and primes police-work for abuse. In particular, the ACLU is concerned that police would use these tools to target political groups or people who are otherwise vulnerable.
Some of the documents obtained by the ACLU show the user interface for the facial recognition software. Police will be able to upload any headshot and quickly receive likely matches along with biographic information including the person’s name, race, date of birth, and information on their criminal record.
Credit: ACLU
Amazon brags that Rekognition’s facial database includes tens of millions of faces, though it remains unclear how that came to be the case. Whatever the reason may be, the result translates to police, using Amazon’s AI-powered facial recognition system, to potentially track anyone — not just the suspects in a particular criminal case.
Some might label that kind of fear of these kinds of developments as deeply (if not suspiciously!) paranoid of police!
Some might also do well to direct their attention to decent reasons to be paranoid (mainlypolice).

Wednesday, May 23, 2018

Rice Prices as on : 22-05-2018 03:37:09 PM


Rice Prices

as on : 22-05-2018 03:37:09 PM

Arrivals in tonnes;prices in Rs/quintal in domestic market.
Arrivals
Price
Current
%
change
Season
cumulative
Modal
Prev.
Modal
Prev.Yr
%change
Rice
Khair(UP)
1000.00
19900
1127.00
2560
2570
0.39
Tarikere(Kar)
202.00
-
202.00
1969
-
-
Bahraich(UP)
187.50
12.14
4519.10
2200
2200
-1.35
Risia(UP)
180.00
-37.93
6828.40
2000
1800
-
Siliguri(WB)
160.00
1.27
5505.00
2700
2700
NC
Shahjahanpur(UP)
154.00
2.67
1947.90
2345
2350
-
Gondal(UP)
150.00
7.14
7129.50
2165
2165
2.12
Bindki(UP)
140.00
47.37
24129.00
2240
2270
-
Sainthia(WB)
134.00
1.52
397.00
2460
2640
11.31
Agra(UP)
131.00
3.15
1825.00
2540
2550
-4.15
Bazpur(Utr)
102.80
-15.39
1519.50
2450
2600
NC
Kanpur(Grain)(UP)
100.00
-16.67
8565.00
2200
2180
3.77
Kalna(WB)
100.00
1.01
2078.00
3350
3350
6.35
Lucknow(UP)
97.00
2.11
1378.00
2250
2250
4.65
Barabanki(UP)
96.00
29.73
254.00
2300
2300
6.48
Pilibhit(UP)
80.00
-7.51
2701.50
2440
2445
8.93
Beldanga(WB)
80.00
14.29
1005.00
2900
2800
16.00
Indus(Bankura Sadar)(WB)
80.00
-5.88
1795.00
2750
1570
7.84
Chandabali(Ori)
79.50
6
318.00
1500
1600
-37.50
Kasimbazar(WB)
78.00
NC
1943.50
2750
2750
10.89
Aligarh(UP)
75.00
-6.25
1280.00
2520
2500
-1.56
Thodupuzha(Ker)
70.00
NC
980.00
3300
3300
NC
Basti(UP)
70.00
-3.45
2271.00
2150
2160
1.65
Faizabad(UP)
70.00
-36.36
878.00
2175
2170
-3.33
Choubepur(UP)
67.50
-12.9
1197.50
2350
2375
8.80
Maur(UP)
65.00
6.56
1334.00
2150
2155
-
Allahabad(UP)
65.00
-18.75
4048.50
2480
2475
13.76
Kopaganj(UP)
65.00
6.56
1633.00
2150
2155
-0.46
Lanka(ASM)
55.00
10
690.00
2100
2100
20.00
Ballia(UP)
50.00
-28.57
2670.00
2260
2240
5.12
Etawah(UP)
45.00
12.5
1462.00
2390
2390
5.52
Cachar(ASM)
40.00
NC
1700.00
2400
2400
9.09
Gauripur(ASM)
40.00
-20
1426.00
4500
4500
NC
Jorhat(ASM)
40.00
-2.44
310.50
3200
3200
14.29
Sahiyapur(UP)
38.00
1.33
1765.00
2155
2150
-
Dadri(UP)
38.00
-5
524.00
2650
2650
11.58
Puranpur(UP)
37.50
4.17
1633.20
2370
2370
-
Vasai(Mah)
36.00
-2.7
781.00
2965
3200
2.24
Khatra(WB)
36.00
-2.7
641.00
2650
2650
-
Gajol(WB)
35.10
35
1016.00
3550
3550
22.41
Hapur(UP)
35.00
-12.5
1515.00
2660
2650
16.67
Safdarganj(UP)
35.00
40
683.00
2225
2200
3.49
Mathura(UP)
33.00
-5.71
362.00
2545
2540
0.99
Naanpara(UP)
31.80
0.95
915.30
2185
2185
-1.35
Lakhimpur(UP)
30.00
50
1264.00
2250
2290
4.17
Muzzafarnagar(UP)
28.00
1.82
1139.50
2660
2665
-
Auraiya(UP)
27.00
1.89
735.70
2550
2550
15.91
Sitapur(UP)
26.00
4
445.00
2210
2220
-
Badayoun(UP)
25.00
25
387.00
2380
2370
-
Bareilly(UP)
25.00
-76.85
627.40
2350
2385
-
Robertsganj(UP)
25.00
42.86
377.30
2245
2285
13.67
Rampur(UP)
24.00
9.09
256.50
2375
2370
-
Bohorihat(ASM)
22.00
-4.35
45.00
2800
3000
5.66
Puwaha(UP)
22.00
46.67
688.50
2300
2300
-
Saharanpur(UP)
22.00
57.14
771.50
2665
2660
12.68
Mainpuri(UP)
22.00
-12
1039.00
2720
5950
-
Lalganj(UP)
20.00
-33.33
647.00
2040
2040
5.15
Saidpurhat (UP)
20.00
NC
70.00
2000
2000
-5.21
Devariya(UP)
20.00
NC
1557.50
2150
2140
0.70
Gazipur(UP)
20.00
33.33
739.00
2280
2280
7.29
Balrampur(UP)
20.00
100
166.00
2350
2210
11.90
Haathras(UP)
20.00
-20
232.00
2515
2510
-1.37
Yusufpur(UP)
20.00
-
20.00
1900
-
-8.65
Alipurduar(WB)
20.00
NC
500.00
2800
2800
21.74
Jayas(UP)
18.00
-48.57
1182.00
2110
2110
8.21
Tamluk (Medinipur E)(WB)
17.00
-5.56
241.00
2850
2900
23.91
Sirsaganj(UP)
16.00
-44.83
557.00
2650
2670
12.77
Vishalpur(UP)
16.00
-33.33
147.00
2375
2440
-
Chorichora(UP)
16.00
-15.79
441.50
2145
2140
-
Bishnupur(Bankura)(WB)
16.00
-5.88
303.00
2650
2650
26.19
Karsiyang(Matigara)(WB)
15.60
-1.27
442.90
3000
3000
11.11
Nalbari(ASM)
15.50
3.33
10839.70
2500
2500
19.05
Kayamganj(UP)
15.00
-25
407.00
2280
2270
NC
Karvi(UP)
15.00
-9.09
154.00
2200
2180
-1.35
Bharthna(UP)
15.00
50
6069.00
2400
2400
-
Islampur(WB)
15.00
NC
570.50
3300
3300
46.67
Raiganj(WB)
15.00
NC
659.00
3200
3200
26.73
Kolaghat(WB)
15.00
-6.25
232.00
2800
2900
21.74
Madhoganj(UP)
12.50
19.05
2149.50
2250
2240
5.14
Giridih(Jha)
12.31
-7.72
295.94
3500
3500
NC
Chintamani(Kar)
12.00
-70
234.00
2000
2100
-4.76
Atarra(UP)
12.00
NC
239.00
2200
2200
10.00
Pukhrayan(UP)
12.00
-20
356.00
2150
2150
-
Tamkuhi Road(UP)
11.00
-8.33
682.00
2150
2125
-
Shahganj(UP)
11.00
-8.33
63.50
2120
2060
0.95
Jasra(UP)
10.00
-44.44
854.50
2300
2300
-
Deogarh(Ori)
9.00
-5.26
358.00
2500
2500
NC
Fatehpur(UP)
9.00
NC
1135.10
2240
2250
1.82
Khurja(UP)
7.50
-6.25
556.00
2600
2600
-
Ramkrishanpur(Howrah)(WB)
7.50
-55.62
93.50
3000
3000
15.38
Bolangir(Ori)
7.00
-12.5
177.00
2800
2800
16.67
Mirzapur(UP)
7.00
16.67
478.50
2220
2215
-
Buland Shahr(UP)
6.50
8.33
90.00
2570
2560
9.83
Tusura(Ori)
6.00
-14.29
82.50
2800
2800
16.67
Bijnaur(UP)
5.50
-15.38
94.00
2540
2530
-
Kosikalan(UP)
5.50
-15.38
55.50
2520
2515
-
Hailakandi(ASM)
5.00
25
24.00
2400
2400
9.09
Maudaha(UP)
5.00
-16.67
170.40
2275
2225
8.33
Chhibramau(Kannuj)(UP)
5.00
-87.5
290.50
2240
2250
NC
Farukhabad(UP)
4.50
12.5
168.00
2390
2400
8.14
Dibrugarh(ASM)
3.50
-20.45
380.10
2920
2920
29.78
Jahangirabad(UP)
3.50
75
87.00
2585
2575
10.00
Tileibani(Ori)
3.00
NC
35.50
2000
2500
-20.00
Melaghar(Tri)
2.50
25
11.50
2950
2950
20.41
Garbeta(Medinipur)(WB)
2.50
-10.71
98.50
2800
2800
7.69
Chandausi(UP)
2.00
NC
84.70
2255
2240
-7.01
Kasganj(UP)
1.80
-28
38.30
2675
2670
-
Bangarmau(UP)
1.60
14.29
29.20
2150
2150
4.88
Darjeeling(WB)
1.60
-23.81
41.60
3150
3150
6.78
Jaunpur(UP)
1.40
-86
1067.70
750
2175
-64.29
Tundla(UP)
1.20
33.33
96.90
2580
2540
-
Penugonda(Mah)
1.00
NC
3.00
4080
4080
0.25
Alibagh(Mah)
1.00
NC
28.00
5000
5000
25.00
Murud(Mah)
1.00
NC
25.00
1600
4000
-46.67
Gadaura(UP)
1.00
25
40.30
1900
1900
-6.17
Fatehpur Sikri(UP)
0.80
-20
22.20
2540
2530
0.40
Published on May 22, 2018
https://www.thehindubusinessline.com/economy/agri-business/rice-prices/article23958528.ece