Correlation andregression studies of yield attributes and grain yield of wheat (Triticum aestvum L.)
Satish Kumar, A.S. Bangarwa, V. S. Kadian, S.B. Phogat
Abstract
Satish Kumar, A.S. Bangarwa, V. S. Kadian, S.B. Phogat
Abstract
Among the yield components, the Spike/m row length was found to be the most highly correlated component with the grain yield followed by number of grains/spike and spike length during both years. The regression of yield on yield attributes under the influence of sowing dates indicated that the number of grains/spike was the most important attribute followed by spike length and test weight. Both varieties and nitrogen levels depicted that the spike/m row length was the most important factor in affecting the grain yield followed by spike length and number of grains/spike and spikelets/spike, number of grain/spike and test weight respectively. The multiple regression analysis showed that aU the attributes affected the grain yield (kg/ha) significantly and 99 per cent of variation in grain yield was being explained by the yield attributes jointly during both years.
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Among the yield components, the Spike/m row length was found to be the most highly correlated component with the grain yield followed by number of grains/spike and spike length during both years. The regression of yield on yield attributes under the influence of sowing dates indicated that the number of grains/spike was the most important attribute followed by spike length and test weight. Both varieties and nitrogen levels depicted that the spike/m row length was the most important factor in affecting the grain yield followed by spike length and number of grains/spike and spikelets/spike, number of grain/spike and test weight respectively. The multiple regression analysis showed that aU the attributes affected the grain yield (kg/ha) significantly and 99 per cent of variation in grain yield was being explained by the yield attributes jointly during both years.
Key concepts: Spike (software development), Yield (engineering), Mathematics, Sowing, Forensic science, Grain yield, Test weight, Regression analysis