Abstract
A set of fifty bread wheat genotypes that comprised of 49 high temperature tolerant lines from CIMMYT and a local check Gautam were evaluated with an objective to study the character association between yield and yield related components at the research farm of Agriculture and Forestry University, Rampur during the wheat season 2016/2017 under late sown condition. The experiment was laid out following Alpha Lattice design with two replications. Grain yield has positive and significant correlations with biomass yield, harvest index, thousand kernel weight, plant height, SPAD1 flag leaf area, SPAD1 and number of grain per spike. Negative and significant correlations were observed between grain yield with days to flowering, days to heading and days to booting. Path analysis revealed that biomass weight has maximum positive direct effect on grain yield followed by harvest index, days to booting, days to flowering, SPAD3, root angle of basket condition, number of root, number of grains per spike, and number of tiller per meter square. On the other hand, days to booting, flag leaf area, physiological maturity, SPAD1, SPAD2, root length, days to flag leaf senescence, plant height, ctd2, and thousand kernel weight showed the negative direct effect on grain yield.
Highlights
Wheat (Triticum aestivum L.) is a cereal crop which belongs to family Poaceae
Previous researcher reported the positive correlation of plant height with grain yield (Reza et al, 2014)
Positive and significant association between thousand kernel weight and seed yield is in agreement with the finding (Prakash et al, 1990)
Summary
Wheat (Triticum aestivum L.) is a cereal crop which belongs to family Poaceae. Worldwide, it is grown on nearly 218.5 million hectares, with a production of 771.7 million tons (FAOSTAT, 2017). Annual production of wheat in Nepal is 1.94 million tons harvested from 0.706 million hectares with the average yield of 2.75 tons per hectare (MoALD, 2018). Grain yield is the outcome due to the actions and interactions of various traits : direct contributing traits such as, number of effective tiller in unit area , number of fertile panicle in unit area and 1000-grain weight and indirect contributing traits such as plant height, panicle length , seed length, seed setting rate etc (Huang et al, 2013). Path coefficient is most powerful tools help to analyze nature, extent and direction of selection; it is used to establish the exact relationships in terms of cause and effect, identify the direct, indirect and
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