GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN SOYBEAN
Abstract: The present investigation was carried out at the experimental farm of Sakha Research Station, Kafr El-Sheikh, during 2009 and 2010 seasons to study the performance of 15 soybean genotypes for yield and its related traits. A combined analysis of variance and covariance were computed over the two seasons to estimate genotypic and phenotypic variances using the pertinent mean square expectations which help also in estimating broad sense heritability (h2) and genetic advance expressed as % of general mean. In addition, correlation and path analyses were computed between seed weight/plant and its components being days to flowering, days to maturity, plant height, number of branches/plant, number of pods/plant and 100-seed weight. Results showed significant differences among soybean genotypes for all studied traits. Genotypes H32, H2L12 and DR101 recorded the highest values of seed yield and seed weight/plant over the two seasons, indicating that these genotypes are promising and could be recommended for release. On the other hand, the highest values of genotypic and genotypic coefficient of variation were obtained with number of branches/plant, seed yield, number of pods/plant, seed weight/plant and plant height indicating a wide range of variation which provided a good opportunity for yield improvement. Also, large proportions of heritability coupled with high values of genetic advance (% of mean) were recorded for seed yield, number of branches/plant and number of pods/plant, explaining that these traits have more chance for soybean yield development among the tested genotypes. Highly significant and positive correlation coefficients were detected between seed weight/plant and each of number of pods/plant, number of branches/plant, plant height and days to maturity while only significant positive relation was observed between seed weight/plant and days to flowering. Regarding 100-seed weight, it had negative and insignificant association with seed weight/plant. Path analysis showed that the traits of number of pods/plant, number of branches/plant and plant height were the most directly contributed traits to seed weight/plant. As a result, the three mentioned traits could be used as selection criteria in the present soybean breeding program, where they were the most important traits in determining seed weight/plant.
Publication year 2011
Pages 89-102
Organization Name
Author(s) from ARC
External authors (outside ARC)
    وعلاء محمد عزمى رزق قسم بحوث المحاصيل البقولية - معهد بحوث المحاصيل الحقلية
Publication Type Researsh & Applied Activities
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