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

Comparative effectiveness and cost-benefit ratio of chosen organic-pesticides against mustard aphid (Lipaphis erysimi), (Kaltenbach)


Author(s): Ankit Upadhyay, SK Biswas, CL Maurya, Ranjitha MR, Harshit Gupta, Pramod Kumar Mishra and Prince Sahu

Abstract:
The present study was conducted at the Students’ Instructional Farm (SIF), CSAUA&T Kanpur during Rabi 2021-2022 and 2022-23. Ten treatments were evaluated against Lipaphis erysimi, i.e., Control (T10), Cow urine 5% (T1), Cow urine 10% (T2), NSKE 5% (T3), NSKE 10% (T4), Castor leaf extract 5% (T5), Castor leaf extract 10% (T6), Lantana leaf extract 5% (T7), Lantana leaf extract 10% (T8) and Verticillium lecanii 1.5 kg/ha (T9) were evaluated against mustard aphid (Lipaphis erysimi). Results revealed that, among the different treatments regarding the yield were proved significantly superior over control and ranged from 14.56 to 20.20 q/ha on pooled basis. The maximum grain yield of 20.20 q/ha was obtained from the field which was treated with NSKE 10%. The second-best treatment was NSKE 5% with the grain yield to the tune of 18.27 q/ha respectively. The highest net profit (₹ 31348.00 and 30309.00/ha) was obtained from the NSKE 10% for both the years i.e. 2021-2022 and 2022-2023, respectively, while the lowest net profit (₹ 9191.00 and 7987.00/ha) for both the years, respectively) was estimated from the treatment of Castor leaf extract. BC Ratio showed that the NSKE 5% ranked 1st with highest i.e. 1:8:5 and 1:8:4 for both the years, respectively, and minimum in Lantana leaf extract 10% i.e. 1:3:8 and 1:3:4, respectively, which was quite similar for both the years.


Pages: 520-523 | Views: 330 | Downloads: 2

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How to cite this article:
Ankit Upadhyay, SK Biswas, CL Maurya, Ranjitha MR, Harshit Gupta, Pramod Kumar Mishra, Prince Sahu. Comparative effectiveness and cost-benefit ratio of chosen organic-pesticides against mustard aphid (Lipaphis erysimi), (Kaltenbach). Int J Stat Appl Math 2023;8(5S):520-523.

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