PREDICTING THE BEST GENOTYPE THROUGH STABILITY ANALYSIS IN SOYBEAN (Glycine max (L.) Merrill)

A. YADAV1*, B. MONDAL2, K. SINGH3, K.K. MISHRA4
1Academic-Head, Faculty of Agricultural Sciences and Allied Industries, Rama University, Mandhana, Kanpur, 209217, Uttar Pradesh, India
2Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kalyanpur, Kanpur, 208024, Uttar Pradesh, India
3Department of Genetics and Plant Breeding, G B Pant University of Agriculture and Technology, Pantnagar, 263145, Uttarakhand, India
4Academic-Head, Faculty of Agricultural Sciences and Allied Industries, Rama University, Mandhana, Kanpur, 209217, Uttar Pradesh, India
* Corresponding Author : yadav.aneeta@gmail.com

Received : 06-06-2020     Accepted : 28-06-2020     Published : 30-06-2020
Volume : 12     Issue : 6       Pages : 745 - 748
Genetics 12.6 (2020):745-748

Keywords : Stability, Pooled analysis, Adaptability, Genotype and Harvest index
Academic Editor : Vipul N Kapadia
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Genetics and Plant Breeding, G B Pant University of Agriculture and Technology, Pantnagar, 263145, Uttarakhand, India. Authors are also thankful to ARS, Majhera; Indian Agricultural Research Institute (IARI), New Delhi and Birsa Agricultural University, Kanke, Ranchi for providing all the necessary requirements for conducting this experiment.
Author Contribution : All authors equally contributed

Cite - MLA : YADAV, A., et al "PREDICTING THE BEST GENOTYPE THROUGH STABILITY ANALYSIS IN SOYBEAN (Glycine max (L.) Merrill) ." International Journal of Genetics 12.6 (2020):745-748.

Cite - APA : YADAV, A., MONDAL, B., SINGH, K., MISHRA, K.K. (2020). PREDICTING THE BEST GENOTYPE THROUGH STABILITY ANALYSIS IN SOYBEAN (Glycine max (L.) Merrill) . International Journal of Genetics, 12 (6), 745-748.

Cite - Chicago : YADAV, A., B. MONDAL, K. SINGH, and K.K. MISHRA. "PREDICTING THE BEST GENOTYPE THROUGH STABILITY ANALYSIS IN SOYBEAN (Glycine max (L.) Merrill) ." International Journal of Genetics 12, no. 6 (2020):745-748.

Copyright : © 2020, A. YADAV, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

The present investigation was taken up to work out the stability of twenty elite soybean genotypes under varying environmental conditions for grain yield and yield contributing characters along with genetic variability, correlation and path coefficient, fatty acid profiling and molecular marker diversity analysis using thirty SSR primers. The field experiment with twenty genotypes of soybean was laid down in randomized complete block design with three replications at four different locations (Norman E. Borlaug Crop Research Centre at G. B. Pant University of Agriculture and Technology, Pantnagar, ARS, Majhera, IARI, New Delhi and BAU, Kanke, Ranchi) during Kharif 2010 and Kharif 2011. The Analysis of variance was found significant for all the characters undertaken and pooled analysis for phenotypic stability, environments (linear) also differed significantly. As per the criteria of Eberhart and Russell model, genotype PS 1502 was most desirable and stable for yield per plot and number of primary branches per plant, while it showed specific adaptability to rich environment for dry matter weight per plant, oil content and specific adaptability to poor environment for number of seeds per pod. Among all the genotypes, PS 1347, PS 1506 and PS 1510 showed specific adaptation to poor environments for oil content. Genotype PS 1347 showed stability for seed yield per plot and harvest index

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