Principal component analysis for grain quality characters in rice germplasm
Rice is the dietary staple for more than one third of the world’s population and it is a model cereal species serving as the genetic platform to study the functions of the genes. In the present study, twenty four genotypes were studied for the thirteen grain quality traits. Principal Component Anal...
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Indian Society of Plant Breeders
2020-03-01
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| Series: | Electronic Journal of Plant Breeding |
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doaj-c774280fb1594610848a994e18f631642021-01-06T09:28:37ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2020-03-0111112713110.37992/2020.1101.023Principal component analysis for grain quality characters in rice germplasmK.R.V. Sathya Sheela, S. Robin and S. ManonmaniRice is the dietary staple for more than one third of the world’s population and it is a model cereal species serving as the genetic platform to study the functions of the genes. In the present study, twenty four genotypes were studied for the thirteen grain quality traits. Principal Component Analysis was utilized to estimate the relative contribution of various traits for total variability. Four components were found to possess Eigen value more than 1. The PC1, PC2, PC3 and PC4 contributed 27.73, 19.12, 15.27 and 10.12 per cent of variability. Together, they accounted for 72.24 per cent of the variability of the genotypes used in the study has revealed the traits contributing for the variation.ricegenotypesvariability |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
K.R.V. Sathya Sheela, S. Robin and S. Manonmani |
| spellingShingle |
K.R.V. Sathya Sheela, S. Robin and S. Manonmani Principal component analysis for grain quality characters in rice germplasm Electronic Journal of Plant Breeding rice genotypes variability |
| author_facet |
K.R.V. Sathya Sheela, S. Robin and S. Manonmani |
| author_sort |
K.R.V. Sathya Sheela, S. Robin and S. Manonmani |
| title |
Principal component analysis for grain quality characters in rice germplasm |
| title_short |
Principal component analysis for grain quality characters in rice germplasm |
| title_full |
Principal component analysis for grain quality characters in rice germplasm |
| title_fullStr |
Principal component analysis for grain quality characters in rice germplasm |
| title_full_unstemmed |
Principal component analysis for grain quality characters in rice germplasm |
| title_sort |
principal component analysis for grain quality characters in rice germplasm |
| publisher |
Indian Society of Plant Breeders |
| series |
Electronic Journal of Plant Breeding |
| issn |
0975-928X |
| publishDate |
2020-03-01 |
| description |
Rice is the dietary staple for more than one third of the world’s population and it is a model cereal species serving as the genetic platform to study the functions of the genes. In the present study, twenty four genotypes were studied for the thirteen grain quality traits. Principal Component Analysis was utilized to estimate the relative contribution of various traits for total variability. Four components were found to possess Eigen value more than 1. The PC1, PC2, PC3 and PC4 contributed 27.73, 19.12, 15.27 and 10.12 per cent of variability. Together, they accounted for 72.24 per cent of the variability of the genotypes used in the study has revealed the traits contributing for the variation. |
| topic |
rice genotypes variability |
| work_keys_str_mv |
AT krvsathyasheelasrobinandsmanonmani principalcomponentanalysisforgrainqualitycharactersinricegermplasm |
| _version_ |
1724347411561709568 |