Journal of Bioscience and Agriculture Research
Volume 31 - Issue 01 | Year of Publication: 2023
Article Type: Research Article | No. 311, 2023 | Country: Bangladesh | pp. 2581-2588 | Open Access
Title: Mung bean (Vigna radiata L.) growth response to prilled and super granule urea application
Authors: Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F.
DOI: https://doi.org/10.18801/jbar.300223.311
Title: Mung bean (Vigna radiata L.) growth response to prilled and super granule urea application
Authors: Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F.
DOI: https://doi.org/10.18801/jbar.300223.311
Mung bean (Vigna radiata L.) growth response to prilled and super granule urea application
Abstract
Breeders rely on the genetic variability among advanced breeding lines derived from diverse parents to select the most suitable genotypes or traits for a hybridization program. This study examined forty rice genotypes, evaluating their genetic variability, heritability, clustering patterns, trait associations, principal component analysis and path analysis for yield-contributing characteristics. The experiment followed a randomized complete block design (RCBD) with three replications. The results showed that the genotypes exhibited a broad spectrum of genetic variability for all traits examined. The phenotypic coefficient of variation (PCV) slightly exceeded the genotypic coefficient of variation (GCV) for all traits, implying that environmental factors had negligible influence on trait expression. The GCV ranged from 2.67% for days to 80% maturity to 8.29% for grain yield. High heritability (>60%) and moderate genetic advance as a percentage of the mean (>10%) were observed for plant height (14.55%), yield (14.75%), and panicle length (10.13%), while low genetic advance as a percentage of mean was observed for the number of panicles per hill (6.48), days to 50% flowering (5.96), and days to 80% maturity (5.1). Grain yield exhibited significant positive correlations with the number of panicles per hill (r = 0.33, P<0.001), panicle length (r = 0.24, P<0.01), days to 50% flowering and days to 80% maturity (r = 0.18, P<0.05) at the phenotypic level. The genotypes were grouped into four distinct clusters, each exhibiting unique combinations of trait values. Notably, Cluster 2 displayed high mean values for plant height (101.0 cm), the number of panicles per hill (10.9), panicle length (24.3 cm), days to 50% flowering (130.0 days), days to 80% maturity (154.0 days), and yield (6.43 t/ha), Cluster 4 exhibited a noteworthy number of panicles/hill (11.3). The first three principal components reported approximately 82% of the total variation. Path analysis revealed that the number of panicles per hill had the highest positive direct effect on grain yield at the levels of genotypic (0.30) and phenotypic (0.28). Considering these six yield-contributing traits, it is recommended to crossbreed genotypes from cluster 2 with those from cluster 4 to develop high-yielding rice breeding lines.
Key Words: Rice grain yield, Genetic variability, Heritability, Genetic advance, Clustering, Correlation analysis and Path analysis.
Abstract
Breeders rely on the genetic variability among advanced breeding lines derived from diverse parents to select the most suitable genotypes or traits for a hybridization program. This study examined forty rice genotypes, evaluating their genetic variability, heritability, clustering patterns, trait associations, principal component analysis and path analysis for yield-contributing characteristics. The experiment followed a randomized complete block design (RCBD) with three replications. The results showed that the genotypes exhibited a broad spectrum of genetic variability for all traits examined. The phenotypic coefficient of variation (PCV) slightly exceeded the genotypic coefficient of variation (GCV) for all traits, implying that environmental factors had negligible influence on trait expression. The GCV ranged from 2.67% for days to 80% maturity to 8.29% for grain yield. High heritability (>60%) and moderate genetic advance as a percentage of the mean (>10%) were observed for plant height (14.55%), yield (14.75%), and panicle length (10.13%), while low genetic advance as a percentage of mean was observed for the number of panicles per hill (6.48), days to 50% flowering (5.96), and days to 80% maturity (5.1). Grain yield exhibited significant positive correlations with the number of panicles per hill (r = 0.33, P<0.001), panicle length (r = 0.24, P<0.01), days to 50% flowering and days to 80% maturity (r = 0.18, P<0.05) at the phenotypic level. The genotypes were grouped into four distinct clusters, each exhibiting unique combinations of trait values. Notably, Cluster 2 displayed high mean values for plant height (101.0 cm), the number of panicles per hill (10.9), panicle length (24.3 cm), days to 50% flowering (130.0 days), days to 80% maturity (154.0 days), and yield (6.43 t/ha), Cluster 4 exhibited a noteworthy number of panicles/hill (11.3). The first three principal components reported approximately 82% of the total variation. Path analysis revealed that the number of panicles per hill had the highest positive direct effect on grain yield at the levels of genotypic (0.30) and phenotypic (0.28). Considering these six yield-contributing traits, it is recommended to crossbreed genotypes from cluster 2 with those from cluster 4 to develop high-yielding rice breeding lines.
Key Words: Rice grain yield, Genetic variability, Heritability, Genetic advance, Clustering, Correlation analysis and Path analysis.
HOW TO CITE THIS ARTICLE?
MLA
Haque, M. M. et al. “Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea”. Journal of Bioscience and Agriculture Research, 31(01), (2023): 2581-2588.
APA
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. (2023). Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 31(01), 2581-2588.
Chicago
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. “Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea”. Journal of Bioscience and Agriculture Research, 31(01), (2023): 2581-2588.
Harvard
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. 2023. Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 31(01), pp. 2581-2588.
Vancouver
Haque, MM, Islam, MA, Amin, AKMR and Karim, MF. Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 2023 October, 31(01): 2581-2588.
MLA
Haque, M. M. et al. “Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea”. Journal of Bioscience and Agriculture Research, 31(01), (2023): 2581-2588.
APA
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. (2023). Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 31(01), 2581-2588.
Chicago
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. “Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea”. Journal of Bioscience and Agriculture Research, 31(01), (2023): 2581-2588.
Harvard
Haque, M. M., Islam, M. A., Amin, A. K. M. R. and Karim, M. F. 2023. Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 31(01), pp. 2581-2588.
Vancouver
Haque, MM, Islam, MA, Amin, AKMR and Karim, MF. Growth response of Mung bean (Vigna radiata L.) to the application of prilled and super granule urea. Journal of Bioscience and Agriculture Research, 2023 October, 31(01): 2581-2588.
Volume 31 - Issue 02 | Year of Publication: 2023