Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date
Development of superior genotypes with high adaptability to different environments is considered as one of the most important goals in safflower breeding programs. In this study, ten parametric and six non-parametric measures along with the additive main effects and the relevant multiplicative inte...
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| Format: | Article |
| Language: | English |
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University of Ljubljana Press (Založba Univerze v Ljubljani)
2020-06-01
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| Series: | Acta Agriculturae Slovenica |
| Subjects: | |
| Online Access: | https://journals.uni-lj.si/aas/article/view/12952 |
| _version_ | 1797758966555475968 |
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| author | Pooran GOLKAR Nasrin RAHMATABADI Seyyed Ali Mohammad MIRMOHAMMADY MAIBODY |
| author_facet | Pooran GOLKAR Nasrin RAHMATABADI Seyyed Ali Mohammad MIRMOHAMMADY MAIBODY |
| author_sort | Pooran GOLKAR |
| collection | DOAJ |
| description |
Development of superior genotypes with high adaptability to different environments is considered as one of the most important goals in safflower breeding programs. In this study, ten parametric and six non-parametric measures along with the additive main effects and the relevant multiplicative interaction (AMMI) model were used to evaluate genotype by environment interaction (GE) in 15 safflower genotypes across 12 test environments ) combination of year, planting date and moisture conditions) during growing seasons in 2016 and 2017. AMMI analysis revealed significant differences among the genotypes and their GE interactions. The different stability statistics were substantiated by rank correlation coefficient. Rank-correlation coefficients revealed positive and significant correlations between mean seed yield and superiority index (r = 0.99**), and significant and negative correlation with bi, R2, Dij and non- parametric measures (NPi(2), NPi(3) and NPi(4)). Based on most stability parameters, the Mex.295 genotype (G10) was found to be the most stable for seed yield. IL.111 genotype (G9) recorded the highest mean yielding genotype regarded as the most favorable safflower genotype. In conclusion, both stability and seed yield should be simultaneously considered to exploit useful effects of G × E interactions in safflower breeding programs.
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| first_indexed | 2024-03-12T18:37:36Z |
| format | Article |
| id | doaj.art-25bbf816b89e4ba88775b3480222fd57 |
| institution | Directory Open Access Journal |
| issn | 1854-1941 |
| language | English |
| last_indexed | 2024-03-12T18:37:36Z |
| publishDate | 2020-06-01 |
| publisher | University of Ljubljana Press (Založba Univerze v Ljubljani) |
| record_format | Article |
| series | Acta Agriculturae Slovenica |
| spelling | doaj.art-25bbf816b89e4ba88775b3480222fd572023-08-02T07:55:37ZengUniversity of Ljubljana Press (Založba Univerze v Ljubljani)Acta Agriculturae Slovenica1854-19412020-06-01115210.14720/aas.2020.115.2.125719344Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting datePooran GOLKAR0Nasrin RAHMATABADI1Seyyed Ali Mohammad MIRMOHAMMADY MAIBODY2Department of Natural Resources, Isfahan University of Technology, Isfahan 8415683111, IranDepartment of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran.Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran. Development of superior genotypes with high adaptability to different environments is considered as one of the most important goals in safflower breeding programs. In this study, ten parametric and six non-parametric measures along with the additive main effects and the relevant multiplicative interaction (AMMI) model were used to evaluate genotype by environment interaction (GE) in 15 safflower genotypes across 12 test environments ) combination of year, planting date and moisture conditions) during growing seasons in 2016 and 2017. AMMI analysis revealed significant differences among the genotypes and their GE interactions. The different stability statistics were substantiated by rank correlation coefficient. Rank-correlation coefficients revealed positive and significant correlations between mean seed yield and superiority index (r = 0.99**), and significant and negative correlation with bi, R2, Dij and non- parametric measures (NPi(2), NPi(3) and NPi(4)). Based on most stability parameters, the Mex.295 genotype (G10) was found to be the most stable for seed yield. IL.111 genotype (G9) recorded the highest mean yielding genotype regarded as the most favorable safflower genotype. In conclusion, both stability and seed yield should be simultaneously considered to exploit useful effects of G × E interactions in safflower breeding programs. https://journals.uni-lj.si/aas/article/view/12952safflowerparametric and non-parametric measuresyieldrank correlation |
| spellingShingle | Pooran GOLKAR Nasrin RAHMATABADI Seyyed Ali Mohammad MIRMOHAMMADY MAIBODY Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date Acta Agriculturae Slovenica safflower parametric and non-parametric measures yield rank correlation |
| title | Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date |
| title_full | Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date |
| title_fullStr | Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date |
| title_full_unstemmed | Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date |
| title_short | Improvement of yield and yield stability in safflower using multivariate, parametric and non-parametric methods under different irrigation treatments and planting date |
| title_sort | improvement of yield and yield stability in safflower using multivariate parametric and non parametric methods under different irrigation treatments and planting date |
| topic | safflower parametric and non-parametric measures yield rank correlation |
| url | https://journals.uni-lj.si/aas/article/view/12952 |
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