Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture
The current research experiment was carried out to analyze the genetic variations among rice mutants and homozygous lines from cross derivatives by principal component analysis (PCA). The PCA results had shown the first five PCs accounted 83.20 per cent of total genetic variation. The thirty six ric...
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| Format: | Article |
| Language: | English |
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Indian Society of Plant Breeders
2024-12-01
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| Series: | Electronic Journal of Plant Breeding |
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| Online Access: | https://ejplantbreeding.org/index.php/EJPB/article/view/5031 |
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| author | S. Palaniyappan1, P. Arunachalam1*, S. Banumathy1 and S. Muthuramu2 |
| author_facet | S. Palaniyappan1, P. Arunachalam1*, S. Banumathy1 and S. Muthuramu2 |
| author_sort | S. Palaniyappan1, P. Arunachalam1*, S. Banumathy1 and S. Muthuramu2 |
| collection | DOAJ |
| description | The current research experiment was carried out to analyze the genetic variations among rice mutants and homozygous lines from cross derivatives by principal component analysis (PCA). The PCA results had shown the first five PCs accounted 83.20 per cent of total genetic variation. The thirty six rice genotypes were formed into four groups. Among the variables studied, hundred grain weight (0.907), grain length (0.837), grain width (0.799) and plant height on 50th day (0.617) positively contributed to 29.15 % variation of first PC. Whereas, days to maturity (0.708), days to fifty percent flowering (0.643) and flag leaf breadth (0.609) contributed mostly for 21.60 percent variation of second PC. More precisely, the grouping revealed that the EMS mutants of Anna (R) 4 were potentially mutated not only for the grain type and also for yield related traits such as flag leaf length and breadth, panicle length, plant height. The genotypes grouped 1 and 4 had potential to select higher grain yield with improved grain quality suitable for rainfed condition. |
| format | Article |
| id | doaj-art-5593460df5d6444a8018575de5df6128 |
| institution | Kabale University |
| issn | 0975-928X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj-art-5593460df5d6444a8018575de5df61282025-01-20T11:45:10ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2024-12-0115497998510.37992/2024.1504.113Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant cultureS. Palaniyappan1, P. Arunachalam1*, S. Banumathy1 and S. Muthuramu201Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai – 625 104, Tamil Nadu. 2Agricultural Research Station, Tamil Nadu Agricultural University, Paramakudi – 623 707, Tamil Nadu. *E-Mail: arunachalp@gmail.com The current research experiment was carried out to analyze the genetic variations among rice mutants and homozygous lines from cross derivatives by principal component analysis (PCA). The PCA results had shown the first five PCs accounted 83.20 per cent of total genetic variation. The thirty six rice genotypes were formed into four groups. Among the variables studied, hundred grain weight (0.907), grain length (0.837), grain width (0.799) and plant height on 50th day (0.617) positively contributed to 29.15 % variation of first PC. Whereas, days to maturity (0.708), days to fifty percent flowering (0.643) and flag leaf breadth (0.609) contributed mostly for 21.60 percent variation of second PC. More precisely, the grouping revealed that the EMS mutants of Anna (R) 4 were potentially mutated not only for the grain type and also for yield related traits such as flag leaf length and breadth, panicle length, plant height. The genotypes grouped 1 and 4 had potential to select higher grain yield with improved grain quality suitable for rainfed condition.https://ejplantbreeding.org/index.php/EJPB/article/view/5031ricemutantspcavariation |
| spellingShingle | S. Palaniyappan1, P. Arunachalam1*, S. Banumathy1 and S. Muthuramu2 Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture Electronic Journal of Plant Breeding rice mutants pca variation |
| title | Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture |
| title_full | Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture |
| title_fullStr | Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture |
| title_full_unstemmed | Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture |
| title_short | Principal component analysis (PCA) as a genetic diversity tool to understand the variation of rice mutant culture |
| title_sort | principal component analysis pca as a genetic diversity tool to understand the variation of rice mutant culture |
| topic | rice mutants pca variation |
| url | https://ejplantbreeding.org/index.php/EJPB/article/view/5031 |
| work_keys_str_mv | AT spalaniyappan1parunachalam1sbanumathy1andsmuthuramu2 principalcomponentanalysispcaasageneticdiversitytooltounderstandthevariationofricemutantculture |