Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes
A total of 86 Sorghum genotypes along with three checks (CO 30, CO 32, and K 12) were evaluated during Rabi 2021 season to identify variations and character associations among grain yield and yield component traits. The phenotypic data collected were used to create a statistical database and were an...
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| Format: | Article |
| Language: | English |
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Indian Society of Plant Breeders
2023-12-01
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| Series: | Electronic Journal of Plant Breeding |
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| Online Access: | https://ejplantbreeding.org/index.php/EJPB/article/view/4926 |
| _version_ | 1827378170615037952 |
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| author | Neladri Sekhar Sarkar1, T. Kalaimagal1*, D. Kavithamani1, R. Chandirakala1, S. Manonmani1 M. Raveendran2 and A. Senthil3 |
| author_facet | Neladri Sekhar Sarkar1, T. Kalaimagal1*, D. Kavithamani1, R. Chandirakala1, S. Manonmani1 M. Raveendran2 and A. Senthil3 |
| author_sort | Neladri Sekhar Sarkar1, T. Kalaimagal1*, D. Kavithamani1, R. Chandirakala1, S. Manonmani1 M. Raveendran2 and A. Senthil3 |
| collection | DOAJ |
| description | A total of 86 Sorghum genotypes along with three checks (CO 30, CO 32, and K 12) were evaluated during Rabi 2021 season to identify variations and character associations among grain yield and yield component traits. The phenotypic data collected were used to create a statistical database and were analyzed using linear discriminant analysis (LDA) to identify and discriminate landraces for utilization in sorghum breeding. The LDA successfully differentiated the genotypes into three groups with an accuracy of 73.52%. The study revealed a significant level of variation among the genotypes, based on observations for nine quantitative traits. Further analysis using the LDA biplot showed that the genotypes within clusters 1 and 4 hold potential for future breeding programmes. Therefore, the observed phenotypic data can be useful for identifying and selecting appropriate accessions for sorghum improvement.
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| first_indexed | 2024-03-08T12:51:09Z |
| format | Article |
| id | doaj.art-224c8b114ea94dfcba84fee44810c5ab |
| institution | Directory Open Access Journal |
| issn | 0975-928X |
| language | English |
| last_indexed | 2024-03-08T12:51:09Z |
| publishDate | 2023-12-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj.art-224c8b114ea94dfcba84fee44810c5ab2024-01-20T05:36:11ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2023-12-011441472147810.37992/2023.1404.163Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmesNeladri Sekhar Sarkar1, T. Kalaimagal1*, D. Kavithamani1, R. Chandirakala1, S. Manonmani1 M. Raveendran2 and A. Senthil301Centre for Plant Breeding and Genetics, TNAU, Coimbatore, India 2Directorate of Research, Dept. of Plant Biotechnology, CPMB&B, TNAU, Coimbatore 3Department of Crop Physiology, TNAU, Coimbatore-641003 *E-Mail: kalaimagal.t@tnau.ac.inA total of 86 Sorghum genotypes along with three checks (CO 30, CO 32, and K 12) were evaluated during Rabi 2021 season to identify variations and character associations among grain yield and yield component traits. The phenotypic data collected were used to create a statistical database and were analyzed using linear discriminant analysis (LDA) to identify and discriminate landraces for utilization in sorghum breeding. The LDA successfully differentiated the genotypes into three groups with an accuracy of 73.52%. The study revealed a significant level of variation among the genotypes, based on observations for nine quantitative traits. Further analysis using the LDA biplot showed that the genotypes within clusters 1 and 4 hold potential for future breeding programmes. Therefore, the observed phenotypic data can be useful for identifying and selecting appropriate accessions for sorghum improvement. https://ejplantbreeding.org/index.php/EJPB/article/view/4926sorghumlandracesclusterslinear discriminate analysis(lda) |
| spellingShingle | Neladri Sekhar Sarkar1, T. Kalaimagal1*, D. Kavithamani1, R. Chandirakala1, S. Manonmani1 M. Raveendran2 and A. Senthil3 Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes Electronic Journal of Plant Breeding sorghum landraces clusters linear discriminate analysis(lda) |
| title | Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes |
| title_full | Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes |
| title_fullStr | Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes |
| title_full_unstemmed | Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes |
| title_short | Linear discriminant analysis to differentiate sorghum germplasm: A crucial tool for breeding programmes |
| title_sort | linear discriminant analysis to differentiate sorghum germplasm a crucial tool for breeding programmes |
| topic | sorghum landraces clusters linear discriminate analysis(lda) |
| url | https://ejplantbreeding.org/index.php/EJPB/article/view/4926 |
| work_keys_str_mv | AT neladrisekharsarkar1tkalaimagal1dkavithamani1rchandirakala1smanonmani1mraveendran2andasenthil3 lineardiscriminantanalysistodifferentiatesorghumgermplasmacrucialtoolforbreedingprogrammes |