Premium
WAASB‐based stability analysis and simultaneous selection for grain yield and early maturity in soybean
Author(s) -
Nataraj Vennampally,
Bhartiya Anuradha,
Singh Chandra Pratap,
Devi Heisnam Nanita,
Deshmukh Milind Panjabrao,
Verghese Philips,
Singh Kamendra,
Mehtre Shivaji Pandurang,
Kumari Vedna,
Maranna Shivakumar,
Kumawat Giriraj,
Ratnaparkhe Milind B,
Satpute Gyanesh K,
Rajesh Vangala,
Chandra Subhash,
Ramteke Rajkumar,
Khandekar Nita,
Gupta Sanjay
Publication year - 2021
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.1002/agj2.20750
Subject(s) - ammi , grain yield , trait , mathematics , yield (engineering) , selection (genetic algorithm) , stability (learning theory) , gene–environment interaction , interaction , agronomy , biology , weighting , principal component analysis , zoology , genotype , statistics , medicine , biochemistry , materials science , artificial intelligence , machine learning , gene , computer science , metallurgy , programming language , radiology
Soybean [ Glycine max (L.) Merr.] is the leading Indian oilseed crop grown under rainfed conditions. Meticulous understanding of genotype × environment interaction patterns is essential to develop superior and widely adaptable soybean varieties. In the current study, 32 soybean genotypes were evaluated at eight locations for two consecutive years. Additive main effect and multiplicative interaction ANOVA revealed that only 41.6% of variance was explained by the first two interaction principal component axes (IPCAs), leaving 58.4% to the remaining 13 IPCs. The weighted average of absolute scores (WAASB) stability index, a best linear unbiased prediction–based mixed model that takes in to account all the IPCAs, has been used in stability analysis. SL1171 (WAASB score, 4.09) was found to be highly stable among the genotypes under study, with grain yield (2,050.87 kg ha −1 ) lower than the grand mean (2,082.50 kg ha −1 ). A superiority index that allows weighting between mean performance and stability (WAASBY) was used to select stable and high yielding genotypes. MACS 1620 (WAASBY score, 74.47) was found to be high yielding (2,476.05 kg ha −1 ) and widely adaptable. A simultaneous selection index (i.e., multi‐trait stability index [MTSI]) has been used for selecting early‐maturing and high‐yielding genotypes. DSb 33 was found to have the lowest MTSI (0.001) and can be used as a parent for breeding for early maturity and higher yield. The 100‐seed weight was found to be positively correlated with grain yield and can be used in direct selection for grain yield. Through genotypic cluster analysis, NRC 146 was found to be more divergent, with the highest mean 100 seed weight (16.39 g), and therefore can be used as a parent for breeding solely for grain yield.