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Phenotypic Correlation and Path Analysis in Sunflower Genotypes and Pollination Influence on Estimates

2017; Volume: 3; Issue: 1 Linguagem: Inglês

10.2174/2352633501703010009

2352-6335

Émerson Dechechi Chambó, Newton Tavares Escocard de Oliveira, Regina Conceição Garcia, Maria Cláudia Colla Ruvolo-Takasusuki, Vagner de Alencar Arnaut de Toledo,

Soybean genetics and cultivation

Eight sunflower genotypes were analyzed to estimate correlation values for nine agronomic traits. Path analysis was used to partition the correlation values into direct and indirect effects on seed yield in two pollination tests (open and restricted pollination). In both tests, there were significant (p<0.05) positive correlation values between seed yield and head diameter, head mass, number and mass of achenes per head and first and last count of germination. There was no correlation (p≥0.05) between seed yield and 1000 seed weight in both pollination tests. Oil content was not correlated (p≥0.05) with seed yield in the open pollination, but it was positively correlated (p<0.05) in restricted plants. The path analysis, in both pollination tests, indicated that head mass had the highest direct effect on seed yield. It can be concluded that the variables head mass and number of seeds per inflorescence (for pollination open) should get due attention in sunflower breeding programs, indirectly contributing to seed yield. In addition, for both pollination tests, the number of seeds per inflorescence has high significant positive correlation to the oil content and may contribute to its increase.