2001Unpublished venueRequires access

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

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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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What this paper is about

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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Available 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.

Key concepts: Spike (software development), Yield (engineering), Mathematics, Sowing, Forensic science, Grain yield, Test weight, Regression analysis

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