International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 6

Assessment of floral arrangement and weed behavior in chickpea with Jatropha-based agroforestry by statistical procedures


Author(s): Anil Kumar Kori, KK Jain and Priyanka Verma

Abstract: A field experiment was carried out to ascertain the floral arrangement and weed behavior in chickpea with Jatropha-based Agroforestry during the Rabi seasons 2019–20 and 2020–21 at Research Farm, Department of Forestry, JNKVV, Jabalpur. The experiment was set up using a Randomized Complete Block Design (RCBD) with three replications and there were twelve herbicidal treatments. The studied results showed that weed free at harvest hand weeding 30DAS obtained the lowest overall weed density, overall weed dry weight, and the maximum weed control effectiveness, followed by Pendimethalin 1000 g ha-1, Atrazine (50% WP) 1000 g ha-1, and oxyfluorfen (23.5% EC) 100 g ha-1. Pre-emergence herbicides and manual weeding can further improve the crop's weed-suppressing capabilities in Agroforestry systems based on Jatropha.

Pages: 432-436 | Views: 99 | Downloads: 8

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How to cite this article:
Anil Kumar Kori, KK Jain, Priyanka Verma. Assessment of floral arrangement and weed behavior in chickpea with Jatropha-based agroforestry by statistical procedures. Int J Stat Appl Math 2023;8(6S):432-436.

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