International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 5

Post-harvest loss reduction in tomato by employing genome editing technology


Author(s): Nutan Verma and Shreya Singh

Abstract:
This review paper delves into the post-harvest loss of tomatoes, analyzing its implications for farmers and the supply chain. It explores gene editing tools, including TALEN, ZFN, and CRISPR/Cas9, and their advantages and disadvantages. The paper focuses on how genome editing techniques can be applied to enhance tomato post-harvest life and quality. Challenges in implementing gene editing solutions are discussed, and potential ways to overcome them are proposed. Overall, the study emphasizes the promising potential of gene editing to reduce post-harvest losses and improve tomato production efficiency.


Pages: 730-734 | Views: 353 | Downloads: 42

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How to cite this article:
Nutan Verma, Shreya Singh. Post-harvest loss reduction in tomato by employing genome editing technology. Int J Stat Appl Math 2023;8(5S):730-734.

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