Study on relationships between yield and other agronomic traits will improve the efficiency of a breeding program with appropriate selection criteria. In this regard, 24 new sunflower hybrids along with Golsa cultivar were evaluated in a simple lattice design with two replications in agriculture research station of Gorgan during 2020 cropping season. The results indicated that the highest coefficient correlation was obtained between head diameter and thousand seed weight with seed yield. Sequential stepwise multiple regression analysis was performed to organize the predictor variables into first, second and third order paths based on their respective contributions to the total variation of yield and minimum collinearity. Based on the variance inflation factor and magnitude of direct effects, seed number per plant, thousand seed weight and stem diameter were considered as first order variables and accounted for 70 percent of total variation of seed yield. The t-test of significance, using standard error values, obtained through bootstrap resampling, indicating that all direct effects were significant. Generally, the results indicated three traits of seed number per plant, thousand seed weight and stem diameter could be considered as selection criterion in selecting for increased yield in sunflower. Also, the results indicated that among studied genotypes, genotypes No. 2, 4, 5, 10, 11, 19 and 22 were recognized as superior genotypes regarding seed yield and traits related to yield.
Type of Study:
Research |
Subject:
اصلاح نباتات، بیومتری Received: 2020/12/20 | Revised: 2021/06/2 | Accepted: 2021/01/23 | Published: 2021/06/1