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A maximin–minimax approach for classifying soybean genotypes for drought tolerance based on yield potential and loss
Author(s) -
Bhatia Virender Singh,
Jumrani Kanchan
Publication year - 2016
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12414
Subject(s) - biology , drought tolerance , genotype , yield (engineering) , minimax , agronomy , horticulture , drought stress , microbiology and biotechnology , mathematics , gene , mathematical optimization , biochemistry , materials science , metallurgy
Screening for drought in soybean is often a bottleneck in plant breeding programmes. Sixteen genotypes were evaluated for drought tolerance during 2012, 2013 and 2014. The experiment was conducted in a split‐plot design, and the main plots consisted of irrigated and water stress treatments, and subplots consisted of 16 genotypes. The average seed yield was highest in 2012 (1708 kg/ha), followed by 2014 (1364 kg/ha) while very low yields (958 kg/ha) were observed during 2013. The per cent reduction in average soybean yield under water stress conditions was maximum (43%) during 2014 followed by 2012 (40%) and 2013 (31%), respectively. The average yields of soybean genotypes also differed significantly, which ranged from 892 ( NRC 12) to 2008 kg/ha ( JS 97‐52). The maximin–minimax approach was used to classify these genotypes, and only, one genotype was identified as drought resistant and high yielding ( EC 538828), three as tolerant and high yielding ( JS 97‐52, EC 456548 and EC 602288) and none as low yielding and resistant, while the remaining 12 genotypes were found to be low yielding and susceptible to drought.