STATISTICAL AND GENETICAL ANALYSIS FOR SOME EARLY SEGREGATING POPULATIONS IN FABA BEAN

Abstract: Eight F2 faba bean populations and their seven parental varieties were evaluated at Sids Research station, Beni Sueif Governorate, Egypt during 2010/11-2012/13 under the insect free cage during three successive seasons. The present work aimed to estimate some genetic parameters as (heritability and genetic advance) through variance and its components, correlation coefficients and prediction equations of full model and stepwise regression and factor analysis for yield and some of its components. Highly significant variation was noted for all the studied traits. Misr1 had the highest parental values for traits seed yield per plant, number of seeds per plant and number of pods per plant among seven parents. Meanwhile, F2 populations recorded the highest values than parental ones for traits number of pods per plant, number of seeds per plant and seed yield per plant. Results also, showed that hybrids had the highest mean performance, and the selection prospects within this parents and its F2 genotypes can be used to improve the performance through breeding program. Higher estimates of heritability coupled genetic advance were observed for seed yield per plant, number of seeds per plant and number of pods per plant. This indicating that these characters are mainly controlled by additive genes and selection of such traits may be effective for the improvement of seed yield. All the studied traits exhibited positive and highly significant genotypic correlation with seed yield except hundred seed weight that showed negative and insignificant one. Results showed that full model regression including all traits recorded 95.4%, while stepwise regression recorded 91.9% for number of seeds per plant only, and 97.5 for number of seeds per plant and hundred seed weight. Factor analysis showed that factor one had four variables (number of branches per plant, number of pods per plant, number of seeds per plant and seed yield). These traits could be used for the improvement of seed yield and evolution of high yielding studied populations of faba bean.
URL
Publication year 2013
Pages 371-386
Organization Name
Author(s) from ARC
Publication Type Journal
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