2012•Unpublished venueRequires access
CORRELATION, REGRESSION AND PATH ANALYSIS OF SEED AND OIL YIELD IN SUNFLOWER (HELIANTHUS ANNUS L.) GENOTYPES
Saied Salehi, Ahmad Reza Golparvar, Mohammad Mehdi Gheisari, Arezoo Armin, Amin
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Abstract
Correlation and path coefficient analyses were studied in twenty-five diverse genotypes of sunflower in order to understand the relationship and contribution on eight characters towards the seed yield. The seed yield exhibits highly significant and positive correlation with plant height, oil yield and number of seeds per head. Days to full flowering and head diameter showed significant and negative correlation with seed yield. Path coefficient analysis revealed that no. seed/head had the highest and positive direct effect on seed yield. On the other hand, days to full flowering and head diameter showed the highest and negative direct effect on seed yield. On the other hand, the traits no. seed/head, 1000-seed weight and plant height showed the positive and direct effects on oil yield. Over all, the study revealed the importance of selection for the higher amounts of these traits and lower amounts of days to full flowering as the best indirect selection criteria to improve seed and oil yield in sunflower breeding programs especially in early generations.