Multivariate regression and path coefficient analysis of seed and oil yield in spring safflower (Carthamus tinctorius L.) cultivars
Journal Title: Applied Science Reports - Year 2013, Vol 4, Issue 1
Abstract
Assessment of the seed and oil yield components is very efficient in genetic improvement of these traits via indirect selection in safflower cultivars. Because of that, fifteen spring safflower cultivars were sown at normal condition in a randomized complete block design with three replications in the research field of Islamic Azad University, Isfahan (Khorasgan) Branch. Correlation analysis showed positive and significant relation of 1000-seed weight, no.seed/capitulum, no.seed/plant, oil yield, biological yield, plant height and days to physiological maturity with seed yield while 1000-seed weight, no.seed/capitulum, no.seed/plant, seed yield, seed oil percent, plant height, harvest index, days to flowering, days to physiological maturity and grain filling rate with oil yield. Regression analysis revealed importance of 100-seed weight, plant height and no.seed/plant for seed yield that verified 75% of variation exist in this trait. Amongst, 1000-seed weight and plant height had the highest direct effect on seed yield. These traits have genetic potential to introduce as the best indirect selection criteria to improve seed yield in safflower cultivars especially from preliminary generations. Regression and path analysis for oil yield showed importance of 1000-seed weight and grain filling rate for enhancement of oil yield in this oil crop.
Authors and Affiliations
Mojgan Karimi, Ahmad Reza Golparvar, Majid Shams
Keywords
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