Regression and path analysis of oil and seed yield in canola cultivars (Brassica napus L.)
Paper Details
Regression and path analysis of oil and seed yield in canola cultivars (Brassica napus L.)
Abstract
An experiment was conducted in the layout randomized complete block design with three replications in order to assess the relationship among different agronomic traits with seed and oil yield. Genotypic correlation analysis revealed strong relation of majority of the studied traits with oil and seed yield. Amongst, grain filling rate had highly significant and positive genotypic correlation with oil and seed yield. Step-wise regression of seed and oil yield revealed that 95% of total variation exists in oil yield accounted for by the traits grain filling rate (72%), grain filling duration (20%) and oil percent (3%) while grain filling rate (80%) and grain filling duration (13%) totally 93% for seed yield. Path analysis for seed and oil yield designed high efficiency of the traits grain filling rate and grain filling duration as indirect selection criteria for genetic improvement of oil and seed yield in canola cultivars especially in early generations of breeding programs. In conclusion, significant difference was observed for all the traits especially for oil and seed yield in canola. Also, selection for higher amount of grain filling rate could be promised to choice the best canola genotypes. These genotypes must be mature later than others which bearing higher seed yield resulting oil yield.
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Arezoo Armin, Ahmad Reza Golparvar, Ali Mehras Mehrabi, Amin Hadipanah (2015), Regression and path analysis of oil and seed yield in canola cultivars (Brassica napus L.); JBES, V7, N3, September, P15-19
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