Genotype x environment interaction and stability analysis for yield and its components in soybean [(Glycine max L.) Merrill]
Authors:
S. D. Tyagi and M. H. Khan
Abstract:
Department of Plant Breeding and Genetics K.P.G. College, Simbhaoli, Gaziabad (U.P) M. H. Khan: E-mail- kmudasirhafiz@yahoo.com Abstract The present investigation was carried out to study stability performance over eight environments for seed yield and its components in 40 genetically diverse genotypes (37 indigenous + 3 exotic) of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for seed yield and majority of yield components. Stable genotypes were identified for wider environments and specific environments with high per se performance (over general mean) for seed yield per plant. The investigation revealed that the genotype MACS-47 was desirable and stable across the environments. Other genotypes PK-308, Bisra Soya, Indra Soya-9, Alankar, and IS-22 were found to be suitable for favorable situations, while genotypes Pusa-16, Pusa-40, MACS-2, MACS-450, and JS-325 were responsible to poor environments for seed yield. Key words: G X E interaction, stability analysis, seed yield, soybean
Gene Effects for Major Quantitative Traits In Soybean [Glycine Max (L.) Merrill]
Authors:
Rajneesh Kumar Singh, Pushpendra, Kamendra Singh and P. M. Bhardwaj
Abstract:
Department of Genetic and Plant Breeding, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar 263145 , U.S. Nagar, Uttarakhand, India. Abstract Breeding methods are dictated by the gene action, interaction, and linkage relationship of genes conditioning continuous phenotypic variation of various metric traits. Thus both additive and non-additive components of genetic variance, along their allied parameters are of immense use for plant breeders under different situations. An estimate of additive variance and non-additive variance provides a measure of how likely particular traits can be selected for or against and that of whether hybridization or a population improvement programme. The present investigation was carried out at Crop Research Center, Pantnagar during the Kharif season of 2008-2009. Five generations viz. P1, P2, F1, F2, and F3 were evaluated in an experiment under a compact family block design to estimate gene effects for major agronomic traits in three soybean single crosses (PS 1347 x G. soja, JS 335 x UPSM 534 and PS 1347 x JS 335). The results showed additive gene effects determined the inheritance of agronomic characters viz. days to 50 per cent flowering, days to maturity, plant height, and harvest index. Dominance gene action was critical in determining the yield. Duplicate epistasis was significantly important in inheritance of most traits studied. On the basis of results obtained from the present investigation, it is suggested that these major quantitative traits in the desirable genotypes play a major role in the improvement of high yielding varieties of soybean through exploitation of additive and non-additive variances. Key words: Soybean, quantitative traits, gene effects, additive, non-additive.