Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes
The efficiency of a breeding program depends mainly on the direction of the correlation between yield and its components and the relative importance of each component involved in contributing to seed yield. The interrelationships of nine quantitative traits in 28 genotypes of spring oilseed rape (da...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Agriculture |
| Online Access: | http://dx.doi.org/10.1155/2014/626434 |
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| author | Valiollah Rameeh |
| author_facet | Valiollah Rameeh |
| author_sort | Valiollah Rameeh |
| collection | DOAJ |
| description | The efficiency of a breeding program depends mainly on the direction of the correlation between yield and its components and the relative importance of each component involved in contributing to seed yield. The interrelationships of nine quantitative traits in 28 genotypes of spring oilseed rape (days to flowering, days to end of flowering, duration of flowering, days to maturity, pods per main raceme, pods length and pods per plant, and seed yield) were computed. Significant genotypic effects were found for phenological traits, yield components, and seed yield, indicating significant genetic differences among the genotypes. High broad sense heritability was estimated for phenological traits, seeds per pod, and seed yield, signifying high selection gain for improving these traits. Path coefficient analysis revealed that days to flowering and number of pods per plant had the highest direct effects on seed yield. Duration of flowering, number of branches, pods on main raceme, pods per plant, and seed yield had high genetic coefficient of variation. The results of factor analysis showed three factors including factor 1 (phenological traits), factor 2 (primary yield components), and factor 3 (secondary yield components). The results of stepwise regression analysis revealed that pods per plant, number of branches, and duration of flowering had considerable effects on seed yield. |
| format | Article |
| id | doaj-art-b73ac87739df420484401c8afc364d74 |
| institution | Kabale University |
| issn | 2356-654X 2314-7539 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Agriculture |
| spelling | doaj-art-b73ac87739df420484401c8afc364d742025-02-03T01:01:59ZengWileyAdvances in Agriculture2356-654X2314-75392014-01-01201410.1155/2014/626434626434Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) GenotypesValiollah Rameeh0Agriculture and Natural Resources Research Center of Mazandaran, Sari, IranThe efficiency of a breeding program depends mainly on the direction of the correlation between yield and its components and the relative importance of each component involved in contributing to seed yield. The interrelationships of nine quantitative traits in 28 genotypes of spring oilseed rape (days to flowering, days to end of flowering, duration of flowering, days to maturity, pods per main raceme, pods length and pods per plant, and seed yield) were computed. Significant genotypic effects were found for phenological traits, yield components, and seed yield, indicating significant genetic differences among the genotypes. High broad sense heritability was estimated for phenological traits, seeds per pod, and seed yield, signifying high selection gain for improving these traits. Path coefficient analysis revealed that days to flowering and number of pods per plant had the highest direct effects on seed yield. Duration of flowering, number of branches, pods on main raceme, pods per plant, and seed yield had high genetic coefficient of variation. The results of factor analysis showed three factors including factor 1 (phenological traits), factor 2 (primary yield components), and factor 3 (secondary yield components). The results of stepwise regression analysis revealed that pods per plant, number of branches, and duration of flowering had considerable effects on seed yield.http://dx.doi.org/10.1155/2014/626434 |
| spellingShingle | Valiollah Rameeh Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes Advances in Agriculture |
| title | Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes |
| title_full | Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes |
| title_fullStr | Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes |
| title_full_unstemmed | Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes |
| title_short | Multivariate Regression Analyses of Yield Associated Traits in Rapeseed (Brassica napus L.) Genotypes |
| title_sort | multivariate regression analyses of yield associated traits in rapeseed brassica napus l genotypes |
| url | http://dx.doi.org/10.1155/2014/626434 |
| work_keys_str_mv | AT valiollahrameeh multivariateregressionanalysesofyieldassociatedtraitsinrapeseedbrassicanapuslgenotypes |