Study of genetic parameters of yield and yield components of different genotypes of chickpea using spatial models

Breeding programs are mainly founded on the evaluation and selection of superior genotypes using accurate estimates of genetic parameters. This research was carried out to evaluate yield and yield components of 64 chickpea genotypes in normal and drought conditions in Khorramabad City. The experiments were conducted on the lattice square design with two replications in the year 2018. Due to seasonal precipitation, there were no significant differences between stress and normal conditions as well as genotype by condition interactions were not significant in most of the characteristics. Therefore, the data on stress condition were considered as replications for the normal condition and all traits analyzed as a unit condition. Analysis of variance the data was performed using the simple lattice analysis and to remove the heterogeneity of the field conditions the spatial models was applied and the linear model of lattice design optimized. Finally, the nearest neighbor model was selected as the best model based on the relative advantage design and -2RLL (-2 Res Log Likelihood) statistic. The results of the analysis of the nearest neighbor model showed significant differences among genotypes for all traits and they had appropriate genotypic variation and acceptable general heritabilities. The most of traits had moderate to high general heritabilities and the plot means heritability of grain yield was 0.57. With 10% intensity of selection for the grain yield on the genotypes, the expected genetic gain was 14% relative to the average yield. Therefore, this genetic gain can be used for promoting and improving the grain yield characteristic. Also, FLIP09-229C S00794 (30 KR) -13/FLIP, X03TH134-88K15, Bivanij, SELS.PLK19-87 and X04TH149/S00547 / / FLIP98-233C genotypes had the highest grain yields in the nearest neighbor model analysis, respectively.