Genetic Variability in Soybean (Glycine Max L.) Genotypes for Morphological Traits in Southwestern Ethiopia
Masreshaw Yirga,
Yechalew Sileshi
Issue:
Volume 11, Issue 2, April 2023
Pages:
14-19
Received:
24 July 2023
Accepted:
9 August 2023
Published:
22 August 2023
Abstract: Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down in simple lattice design. The combined analysis of variance revealed the presence of significant (P<0.01) variation among the tested genotypes for all the traits. The maximum grain yield per hectare was recorded on variety; Coker240 (3.09 t/ha each) followed by genotype PI567104B (3.00 t/ha), PI567054C (2.85 t/ha) and G 7955-C3RPP (2.82 t/ha), while the minimum yield was scored from PI416826A (1.33t/ha). The performance of the tested genotypes also showed resistance to moderately resistance to soybean rust. Maximum disease score was recorded from genotype PI567090 (25.52%), while the minimum was from PI594538A (3.78%). combined high genotypic coefficients of variation (GCV), high heritability (H2) and high genetic advance as present of mean (GAM) were recorded for plant height (71.48%, 98.51% and 146.36%), number of pod (79.58%, 89.39% and 155.22%), number of seed (113.92%, 88.49% and 221.09%), hundred seed weight (62.28%, 74.10% and 110.60%) and grain yield (36.97%, 83.22% and 69.57%), which denotes, these traits can be improved through direct selection more easily than other traits. Therefore, this research finding showed the existence of enormous genetic variability among soybean genotypes for various important morphological traits.
Abstract: Genetic variability assessment in is paramount important for soybean variety development program. The field experiment was conducted at Jimma and Metu, south western Ethiopia for two year during 2017-2018 main cropping season to estimate the extent of genetic variability in 64 soybean genotypes for morpho-agronomic traits. The trial was laid down i...
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Multivariate Analysis Among Soybean (Glycine max L.) Genotypes in Southwest Ethiopia
Masreshaw Yirga,
Afework Legesse
Issue:
Volume 11, Issue 2, April 2023
Pages:
20-26
Received:
24 July 2023
Accepted:
9 August 2023
Published:
22 August 2023
Abstract: Genetic variability information on any crop germplasm is imperative for conservation and effective utilization in the breeding program. The field experiment was conducted to estimate the extent of genetic variability of 64 soybean genotypes for grain yield and other agronomic traits at Jimma and Metu in 2017 and 2018 main cropping seasons. The trial was laid down using 8×8 simple lattice design. The data was subjected to statistical analysis using R-software. The combined analysis of variance revealed the presence of significant (P<0.01) and wide range of variation among the tested genotypes for all of the traits. Based on the mean performance, latest maturing genotype was PI567104B (145 days), while the earliest was PI615437 (105 days). Genotype, PI567104B was the tallest in plant height (149.01 cm) while the shortest was PI507004 (44.24cm). Genotype PI567090 was found moderately susceptible in soybean rust (25.52%), while genotypes PI594538A was found the most tolerant (3.78%). Maximum hundred seed weight (24.01gm) was found from genotype PI506677, whereas the minimum seed weight (8.32gm) was recorded from genotype PI567068A. Coker240 scored maximum grain yield (3.09 t/ha) followed by genotype PI567104B (3.00 t/ha), while the minimum yield was scored from PI416826A (1.33tha-1). Cluster analysis categorized 64 soybean genotypes into five clusters. The maximum inter cluster distance was found between clusters-I and V, suggesting best recombinants can be found by crossing genotypes in these clusters. Principal component analysis (PCA) revealed that, the 1st four PCA with Eigen values exceeding one were responsible for about 88.74% of the total variation. Out of the entire variations, 1stPCA and the 2ndPCA accounted for more than two third of the total variations (68.47%). Generally, the present study indicated the existence of enormous genetic variability among soybean genotypes for various important morphological traits. Therefore, information and genetic variability obtained in this finding could be used to plan conservation, effective crossing and line selection in soybean variety improvement programs.
Abstract: Genetic variability information on any crop germplasm is imperative for conservation and effective utilization in the breeding program. The field experiment was conducted to estimate the extent of genetic variability of 64 soybean genotypes for grain yield and other agronomic traits at Jimma and Metu in 2017 and 2018 main cropping seasons. The tria...
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