Assessment of variation in rice maintainer lines using principal component analysis
The aim of this study was to explore the characteristics essential for a maintainer line to effectively complement the A lines in hybrid rice production. The experiment was conducted at the Regional Agricultural Research Station, Jagtial and Telangana, India during kharif, 2016 (June-October). A tot...
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| Format: | Article |
| Language: | English |
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Indian Society of Plant Breeders
2024-03-01
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| Series: | Electronic Journal of Plant Breeding |
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| Online Access: | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4586 |
| _version_ | 1797222500694753280 |
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| author | B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3 |
| author_facet | B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3 |
| author_sort | B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3 |
| collection | DOAJ |
| description | The aim of this study was to explore the characteristics essential for a maintainer line to effectively complement the A lines in hybrid rice production. The experiment was conducted at the Regional Agricultural Research Station, Jagtial and Telangana, India during kharif, 2016 (June-October). A total of 40 genotypes were raised in Randomized Block Design (RBD) with two replications. PCA identified five principal components (PCs) with Eigen values over 1, collectively accounting for approximately 75.50% of the total variance. PC1 predominantly representing yield and related features (number of tillers per plant, panicle length, length-to-breadth ratio, grain yield per plant), while the other PCs corresponded to unique aspects like grain numbers, morphological and quantitative traits. The study also utilized biplot analysis to elucidate the relationships among these traits, revealing significant correlations and interactions crucial for rice breeding. It indicated a negative correlation between 1000 grain weight, kernel breadth, and the number of grains per panicle, while showing positive correlations among traits influencing grain yield. This method also proved assistance in identifying superior genotypes for specific traits, as exemplified by genotypes JMS18B and JMS20B excelling in grain numbers per panicle and genotype B18 standing out in grain yield and other yield-related traits.
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| first_indexed | 2024-04-24T13:22:19Z |
| format | Article |
| id | doaj.art-29b5a594efbe438ba2f6db365a0985ad |
| institution | Directory Open Access Journal |
| issn | 0975-928X |
| language | English |
| last_indexed | 2024-04-24T13:22:19Z |
| publishDate | 2024-03-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj.art-29b5a594efbe438ba2f6db365a0985ad2024-04-04T11:22:01ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2024-03-01151270276https://doi.org/10.37992/2024.1501.024Assessment of variation in rice maintainer lines using principal component analysisB. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya301Department of Genetics and Plant Breeding, Agriculture College, PJTSAU, Jagtial, , Telangana -505 529 2Department of Crop Physiology, Agriculture College, Jagtial, PJTSAU, Telangana -505 529 3Department of Genetics and Plant Breeding, Regional Sugarcane and Rice Research Station, PJTSAU, Rudrur, Nizamabad, Telangana (503 188), India *E-Mail: edukondalu0208@gmail.com The aim of this study was to explore the characteristics essential for a maintainer line to effectively complement the A lines in hybrid rice production. The experiment was conducted at the Regional Agricultural Research Station, Jagtial and Telangana, India during kharif, 2016 (June-October). A total of 40 genotypes were raised in Randomized Block Design (RBD) with two replications. PCA identified five principal components (PCs) with Eigen values over 1, collectively accounting for approximately 75.50% of the total variance. PC1 predominantly representing yield and related features (number of tillers per plant, panicle length, length-to-breadth ratio, grain yield per plant), while the other PCs corresponded to unique aspects like grain numbers, morphological and quantitative traits. The study also utilized biplot analysis to elucidate the relationships among these traits, revealing significant correlations and interactions crucial for rice breeding. It indicated a negative correlation between 1000 grain weight, kernel breadth, and the number of grains per panicle, while showing positive correlations among traits influencing grain yield. This method also proved assistance in identifying superior genotypes for specific traits, as exemplified by genotypes JMS18B and JMS20B excelling in grain numbers per panicle and genotype B18 standing out in grain yield and other yield-related traits. https://www.ejplantbreeding.org/index.php/EJPB/article/view/4586pcamaintainer lineshybrid ricebiplot |
| spellingShingle | B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3 Assessment of variation in rice maintainer lines using principal component analysis Electronic Journal of Plant Breeding pca maintainer lines hybrid rice biplot |
| title | Assessment of variation in rice maintainer lines using principal component analysis |
| title_full | Assessment of variation in rice maintainer lines using principal component analysis |
| title_fullStr | Assessment of variation in rice maintainer lines using principal component analysis |
| title_full_unstemmed | Assessment of variation in rice maintainer lines using principal component analysis |
| title_short | Assessment of variation in rice maintainer lines using principal component analysis |
| title_sort | assessment of variation in rice maintainer lines using principal component analysis |
| topic | pca maintainer lines hybrid rice biplot |
| url | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4586 |
| work_keys_str_mv | AT bedukondalu1vramreddy1tshobharani1charunakumari2andbsoundharya3 assessmentofvariationinricemaintainerlinesusingprincipalcomponentanalysis |