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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(9): 1027-1031
DOI: https://doi.org/10.20546/ijcmas.2018.709.122


Study of the Relationship between Various Weather Variables and Final Seed Yield of Soybean Crop during Different Phenological Stages in the Akola Region of Vidarbha, India
Anil Nath1*, A.P. Karunakar2 and Arvind Kumar1
1Department of Agronomy, G.B.P.U.A.T. Pantnagar, UK.263145, India
2Department of Agronomy, Dr. P.D.K.V. Akola, MH.444104, India
*Corresponding author
Abstract:

Soybean crop is grown predominantly under rainfed conditions in Vidarbha region where weather parameters play an important role at different phenophase of the crop influencing the growth, development and final yield performance. But amongst them, only few parameters are significantly contributing to the crop growth and yield. So in order to identify such parameters and quantify their contribution, a field investigation was carried out with four sowing times and three varieties with four replications and 12 treatments. The crop data, weather data and physico-chemical properties of the soil were obtained during growing season. Detailed observations on phenology and crop growth and yield measurements were made in individual treatment. Correlation coefficients of soybean yield with different weather parameters prevailed during different phenological stages of the crop were worked out. Weather parameters influencing the soybean yield were identified to develop yield prediction equation through regression technique. The correlation and regression study revealed that rainfall during pod formation to full seed development showed highly significant positive impact on soybean seed yield. Higher day time temperature (T max) during pod formation to seed development was found to have negative impact on soybean yield. The data across the total crop growing period showed that rainfall, humidity (RH-I), GDD and PTU showed significant positive association with seed yield of soybean. Thus the results of this study revealed that pod formation to full seed development stage is the most sensitive stage and rainfall and higher day time temperature (T max) are the most significant weather variables for soybean seed yield under rainfed condition in Vidarbha region.


Keywords: Weather variables, Phenophase, Soybean yield, Correlation, Regression
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How to cite this article:

Anil Nath, A.P. Karunakar and Arvind Kumar. 2018. Study of the Relationship between Various Weather Variables and Final Seed Yield of Soybean Crop during Different Phenological Stages in the Akola Region of Vidarbha, India.Int.J.Curr.Microbiol.App.Sci. 7(9): 1027-1031. doi: https://doi.org/10.20546/ijcmas.2018.709.122