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Vol. 12, Issue 12 (2023)

Correlation between weather parameters and different Phenophases of Soybean (Glycine max. [L] Mirrll.) With seed yield

Author(s):
Rutuja S Gadhave, Shubham A Gade and Dnyaneshwar More
Abstract:
A study was conducted to assess the impact of meteorological parameters on soybean yield. Soybean's introduction led to higher cropping intensities, which increased profitability per acre. Soybean is and will remain an important rainfed oilseed crop in India, with growth, development, and yield performance all being affected by the weather at different stages of the crop's life cycle. However, only a few of these characteristics have a major impact on crop growth and output. To better understand the relationship between weather parameters and soybean yield, the agrometeorological indices and soybean yield were determined. Correlation coefficients also indicated that temperature seems to have a significant impact on seed yield. Thermal indices such as GDD, PTU, and HTU, as utilized in this study, must be considered not only in terms of high or low values of the prevailing temperature during the specific phenological stages, but also in terms of temperature taken in conjunction with the duration of the specific phase. The maximum temperature was positively connected with soybean seed yield at the P1, P3, P4, P5, and P8 stages of MAUS-158, but negatively correlated at the P2 and P6, P7 stages. The maximum temperature was positively connected with soybean seed yield at the P3, P4, P5, and P8 stages of MAUS-71, while it was adversely correlated at the P2 and P6, P9 stages. The highest temperature was positively connected with soybean seed yield at the P3, P4, P5, and P8 stages and negatively correlated at the P2 and P6, P9 stages of JS-335.
Pages: 961-963  |  149 Views  94 Downloads


The Pharma Innovation Journal
How to cite this article:
Rutuja S Gadhave, Shubham A Gade, Dnyaneshwar More. Correlation between weather parameters and different Phenophases of Soybean (Glycine max. [L] Mirrll.) With seed yield. Pharma Innovation 2023;12(12):961-963.

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