Study of variation for seed yield and seed components in 31 genotypes of Agropyron desertorum through factor analysis

Document Type : Research Paper

Authors

1 Research Institute of Forests and Rangelands, Tehran, Iran.

2 Islamic Azad University. Boroujerd Branch, Iran.

3 Islamic Azad University, Arak Branch, Iran

Abstract

In order to study of variation and relationships between seed yield and seed components 31 genotypes of Standard Crested wheatgrass (Agropyron desertorum Fish.ex Link) were sown in two separate experiments under optimum and drought stress conditions using randomized complete block designs with three replications in Arak, Iran, during 2004-2006. Data were collected for ear emergence date, pollination date, seed yield, forage DM yield, stem number, plant height, flag leaf size, spike length, spike number per plant, spikelet per spike, length of peduncle, seed weight and seed number per spike, thousand grain weight and harvest index. Phenotypic correlation, factor analyses and cluster analyses was conducted on data averaged over environments 14 characteristics of 31 genotypes. The results of phenotypic correlation analysis showed that seed yield had positive and significant correlation with panicle number, harvest index and spikelet per spike. DM yield had significant and positive correlation with plant height, stem number, seed weight and seed number per spike and negative correlation with ear emergence date, pollination date and harvest index. Results of factor analysis accounted for 83% of total variance for 6 first factors. The loading of factors indicate that Factor1 was strongly associated with phenological traits and DM yield. This factor was regarded as production factor. Factor 2 had significant correlation with seed yield, stem number and harvest index. The second factor was named as seed production factor. The genotypes were classified into 7 groups based on Ward clusters method. Genotypes in clusters 3, 5, 6 and 7 had higher seed production and genotypes in clusters 5 and 6 were recognized as higher values for forage production. The distribution of genotypes based on the first two factors scores were in agreement with cluster analysis.
 

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