Genotypic variation for seed size and related traits in wheat (Triticum aestivum L.)

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Date
2011
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Publisher
CCSHAU
Abstract
The present investigation entitled “Genotypic variation for seed size and related traits in wheat (Triticum aestivum L.)” was conducted during rabi 2009-2010 under normal and late sown environments at CCSHAU, Hisar. Ten genotypes (SG22, Raj3765, PBW550, LOK1, K68, C306, WH283, WH542, HJP62 and HD2009) representing a wide range of spectrum of variability for their grain size (bold, intermediate and small) were used for the estimation of grain filling parameters, the main causal components of grain size. Accumulated growing degree days (GDD) from anthesis was used as the time scale during the grain development period. Field observations were recorded from five competitive plants for days to 50% heading, days to anthesis, days to maturity, number of grains per spike, spike length (cm) and 1000-grain weight (g). Grain development rate (GDR) and grain development period (GDP) were calculated for each genotype replication wise fitted by non linear regression to a logistic curve. Significant genotypic differences were present for all the characters under normal and late sown environments. The relative ranking of the genotypes for grain development period differed in two environments. This implied that GDP was more sensitive to the environment. On the other hand GDR was more stable trait and least affected by the environment and hence more genetically controlled. Highly significant and positive association was observed between GDR and 1000-grain weight under both the conditions. This association was stable over the environment and could account for 50% variability for 1000-grain weight. GDR exhibited highly significant negative association with GDP under normal sown condition whereas direction of association was also negative but non-significant under late sown condition. The characters such as 1000-grain weight, number of grain per spike, spike length and days to maturity had higher magnitude of genetic variance as compared to environmental variance and this was also reflected by higher magnitude of broad sense heritability for these traits under both conditions. The expected genetic advance (% of mean) was highest for GDR followed by 1000-grain weight, number of grains per spike and spike length under both environments ranging (32 – 64%) whereas for GDP a medium response ranging (17 – 22%) was expected. The results indicated that the grain size may be genetically manipulated by improving the GDR in the wheat population.
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Keywords
Grain, Developmental stages, Genotypes, Wheats, Packaging, Environment, Yields, Genetics, Biological phenomena, Drying
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