scholarly journals Genetically modified Cotton species detection by LISS-III satellite data

2011 ◽  
Author(s):  
Amit Singh ◽  
Anita Mukherjee ◽  
Bhoop Singh ◽  
Saumitra Mukherjee ◽  
Satyanarayan Shashtri ◽  
...  
Keyword(s):  
Satellite Data ◽  
Genetically Modified ◽  
Species Detection ◽  
Genetically Modified Cotton ◽  
Cotton Species ◽  
Liss Iii

scholarly journals Genetically modified Cotton species detection by LISS-III satellite data

2008 ◽  
Author(s):  
Saumitra Mukherjee ◽  
Satyanarayan Shashtri ◽  
Chander Kumar Singh ◽  
Bindu Kumari ◽  
Reena Kumari ◽  
...  
Keyword(s):  
Satellite Data ◽  
Genetically Modified ◽  
Species Detection ◽  
Genetically Modified Cotton ◽  
Cotton Species ◽  
Liss Iii

scholarly journals Genetically modified Cotton species detection by LISS-III satellite data

2011 ◽  
Author(s):  
Saumitra Mukherjee ◽  
Amit Singh ◽  
Anita Mukherjee ◽  
Bhoop Singh ◽  
Saumitra Mukherjee ◽  
...  
Keyword(s):  
Satellite Data ◽  
Genetically Modified ◽  
Species Detection ◽  
Genetically Modified Cotton ◽  
Cotton Species ◽  
Liss Iii

scholarly journals Genetically modified Cotton species detection by LISS-III satellite data

2008 ◽  
Author(s):  
Saumitra Mukherjee ◽  
Satyanarayan Shashtri ◽  
Chander Kumar Singh ◽  
Bindu Kumari ◽  
Reena Kumari ◽  
...  
Keyword(s):  
Satellite Data ◽  
Genetically Modified ◽  
Species Detection ◽  
Genetically Modified Cotton ◽  
Cotton Species ◽  
Liss Iii

scholarly journals Genetically modified cotton: Experience of a crop year in Burkina Faso

2012 ◽  
Vol 21 (6) ◽  
pp. 387-394 ◽  
Author(s):  
Camille Renaudin ◽  
Hugo Pelc ◽  
Julien Opois
Keyword(s):  
Burkina Faso ◽  
Genetically Modified ◽  
Genetically Modified Cotton

Effect of Genetically-Modified Cotton Cultivars on Demographic Parameters of Spodoptera frugiperdain Colombia

2016 ◽  
Vol 41 (4) ◽  
pp. 963-970
Author(s):  
Sandra J. Valencia-Cataño ◽  
Jairo Rodríguez-Chalarca ◽  
Carlos A. Blanco
Keyword(s):  
Genetically Modified ◽  
Demographic Parameters ◽  
Genetically Modified Cotton

Assessing the fate of recombinant plant DNA in rabbit’s tissues fed genetically modified cotton

2019 ◽  
Vol 104 (1) ◽  
pp. 343-351
Author(s):  
Ahmad Ali Shahid ◽  
Ibrahim Bala Salisu ◽  
Amina Yaqoob ◽  
Abdul Qayyum Rao ◽  
Inayat Ullah ◽  
...  
Keyword(s):  
Genetically Modified ◽  
Plant Dna ◽  
Genetically Modified Cotton ◽  
Recombinant Plant

scholarly journals Event-specific multiplex PCR method for four genetically modified cotton varieties, and its application

2019 ◽  
Vol 62 (1) ◽  
Author(s):  
Soon-Jae Eum ◽  
Il Ryong Kim ◽  
Hye Song Lim ◽  
Jung Ro Lee ◽  
Wonkyun Choi
Keyword(s):  
Environmental Monitoring ◽  
Multiplex Pcr ◽  
Genetically Modified ◽  
Research Centre ◽  
Pcr Analysis ◽  
Amplification Efficiency ◽  
The Novel ◽  
Joint Research ◽  
Genetically Modified Cotton ◽  
Pcr Method

Abstract Multiplex polymerase chain reaction (PCR) methods have been developed and validated for screening, tracing, and regulating genetically modified (GM) crops in quarantine and environmental monitoring. In this study, we aimed to develop a method to simultaneously detect four GM cotton varieties in order to establish a screening system for cotton volunteers. Based on the sequence of DNA in the junction between introduced gene and flanking genomic DNA of four GM cotton events, herbicide-tolerant MON88701 and DAS-81910-7 and insect-resistant COT102 and T304-40, event-specific primers were designed and a multiplex detection method was developed. The simplex PCR results supported the multiplex PCR results; the amplification efficiency of the novel multiplex PCR method was increased compared with that of the Joint Research Centre (JRC) method. Based on the accuracy and efficiency, the method can be applied to detect and identify randomly mixed reference materials and suspected cotton volunteers. To apply this multiplex PCR method to living modified (LM) environmental monitoring samples, we performed additional PCR analysis to identify whether the volunteers were the four LM cotton varieties. As a result, 66 cotton volunteers were identified with stack event, comprising one or two of the four LM cotton events, and all stacks have been approved in South Korea for food, feed, and processing. These results indicated that our novel multiplex method is suitable for LMO identification.

Farm-Level Economic Performance of Genetically Modified Cotton in Maharashtra, India

2006 ◽  
Vol 28 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Richard Bennett ◽  
Uma Kambhampati ◽  
Stephen Morse ◽  
Yousouf Ismael
Keyword(s):  
Economic Performance ◽  
Genetically Modified ◽  
Farm Level ◽  
Genetically Modified Cotton
Sign in / Sign up

Export Citation Format

Share Document