Genotypic correlation, regression and path analysis of oil and seed yield in canola cultivars (Brassica napus L.)

Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 22

Abstract

In order to assess the relationship among seed and oil yield as well as determine the best indirect selection criteria to improve the seed and oil yield in canola cultivars, an experiment was conducted in the layout randomized complete block design with three replications. 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 99% of total variation exists in oil yield accounted for by the traits grain filling rate (89%), grain filling duration (6%) and oil percent (3%) while grain filling rate (94%) and grain filling duration (5%) totally 99% 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, high genetic variation was observed for all the traits demonstrated possibility of selection of superior genotypes 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.

Authors and Affiliations

Sadegh Abdellahi, Ahmad Reza Golparvar, Bahram Majd Nasiri, Ali Soleymani

Keywords

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  • EP ID EP32429
  • DOI -
  • Views 313
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How To Cite

Sadegh Abdellahi, Ahmad Reza Golparvar, Bahram Majd Nasiri, Ali Soleymani (2013). Genotypic correlation, regression and path analysis of oil and seed yield in canola cultivars (Brassica napus L.). International Journal of Farming and Allied Sciences, 2(22), -. https://europub.co.uk/articles/-A-32429