scholarly journals Genetically modified cotton: How has it changed India?

2021 ◽  
2012 ◽  
Vol 21 (6) ◽  
pp. 387-394 ◽  
Author(s):  
Camille Renaudin ◽  
Hugo Pelc ◽  
Julien Opois

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

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

2019 ◽  
Vol 62 (1) ◽  
Author(s):  
Soon-Jae Eum ◽  
Il Ryong Kim ◽  
Hye Song Lim ◽  
Jung Ro Lee ◽  
Wonkyun Choi

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.


2006 ◽  
Vol 28 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Richard Bennett ◽  
Uma Kambhampati ◽  
Stephen Morse ◽  
Yousouf Ismael

2011 ◽  
Author(s):  
Amit Singh ◽  
Anita Mukherjee ◽  
Bhoop Singh ◽  
Saumitra Mukherjee ◽  
Satyanarayan Shashtri ◽  
...  

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