Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions
A field study was conducted using 31 sorghum landraces and two improved varieties as yield checks under natural sodic soil conditions at Anbil Dharmalingam Agricultural College and Research Institute, Trichy during Kharif,2018. The study was aimed to assess the mean performance, genetic variability,...
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| Format: | Article |
| Language: | English |
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Indian Society of Plant Breeders
2019-12-01
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| Series: | Electronic Journal of Plant Breeding |
| Subjects: |
| _version_ | 1818886761011478528 |
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| author | A. Subramanian, R. Nirmal Raj and M. Elangovan |
| author_facet | A. Subramanian, R. Nirmal Raj and M. Elangovan |
| author_sort | A. Subramanian, R. Nirmal Raj and M. Elangovan |
| collection | DOAJ |
| description | A field study was conducted using 31 sorghum landraces and two improved varieties as yield checks under natural sodic soil conditions at Anbil Dharmalingam Agricultural College and Research Institute, Trichy during Kharif,2018. The study was aimed to assess the mean performance, genetic variability, heritability and diversity of key traits that would aid the selection of genotypes for sodicity tolerance. The experiment was laid out in randomized block design with two replications. Eight biometric traits viz., days to 50 percent flowering, plant height, number of tillers, number of leaves, leaf length, leaf width, panicle length and yield per plant were observed. The genotype ES1 was identified to be sodicity tolerant as it based on its overall per se performance. Based on PCA analysis, the characters panicle length, number of leaves and yield per plant were identified to contribute more towards the total divergence. These traits also showed higher PCV and GCV coupled with higher heritability and genetic advance as percent of mean. Hence, indirect selection for sodicity tolerance can be carried out through these traits for selection of genotypes with sodicity tolerance. Cluster analysis revealed the diverse genotypes (Cluster I and VI) that could be used in hybridization programmes for exploiting the maximum heterotic potential. |
| first_indexed | 2024-12-19T16:26:28Z |
| format | Article |
| id | doaj.art-33baf8a46d5b48f79e7a5e481383c2fd |
| institution | Directory Open Access Journal |
| issn | 0975-928X |
| language | English |
| last_indexed | 2024-12-19T16:26:28Z |
| publishDate | 2019-12-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj.art-33baf8a46d5b48f79e7a5e481383c2fd2022-12-21T20:14:19ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2019-12-011041405141410.5958/0975-928X.2019.00180.7Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditionsA. Subramanian, R. Nirmal Raj and M. ElangovanA field study was conducted using 31 sorghum landraces and two improved varieties as yield checks under natural sodic soil conditions at Anbil Dharmalingam Agricultural College and Research Institute, Trichy during Kharif,2018. The study was aimed to assess the mean performance, genetic variability, heritability and diversity of key traits that would aid the selection of genotypes for sodicity tolerance. The experiment was laid out in randomized block design with two replications. Eight biometric traits viz., days to 50 percent flowering, plant height, number of tillers, number of leaves, leaf length, leaf width, panicle length and yield per plant were observed. The genotype ES1 was identified to be sodicity tolerant as it based on its overall per se performance. Based on PCA analysis, the characters panicle length, number of leaves and yield per plant were identified to contribute more towards the total divergence. These traits also showed higher PCV and GCV coupled with higher heritability and genetic advance as percent of mean. Hence, indirect selection for sodicity tolerance can be carried out through these traits for selection of genotypes with sodicity tolerance. Cluster analysis revealed the diverse genotypes (Cluster I and VI) that could be used in hybridization programmes for exploiting the maximum heterotic potential.sodicitypcaheritabilitycluster analysis |
| spellingShingle | A. Subramanian, R. Nirmal Raj and M. Elangovan Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions Electronic Journal of Plant Breeding sodicity pca heritability cluster analysis |
| title | Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions |
| title_full | Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions |
| title_fullStr | Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions |
| title_full_unstemmed | Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions |
| title_short | Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions |
| title_sort | genetic variability and multivariate analysis in sorghum sorghum bicolour under sodic soil conditions |
| topic | sodicity pca heritability cluster analysis |
| work_keys_str_mv | AT asubramanianrnirmalrajandmelangovan geneticvariabilityandmultivariateanalysisinsorghumsorghumbicolourundersodicsoilconditions |