Combination of mixed linear model approach with selection indices in kale breeding programs
Utilizing selection indices is an effective strategy for the simultaneous evaluation of multiple traits in kale breeding programs. This approach allows for the selection of kale genotypes that exhibit enhanced productivity and adaptability by combining desirable attributes for the crop. In this stu...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Eduem (Editora da Universidade Estadual de Maringá)
2024-11-01
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| Series: | Acta Scientiarum: Agronomy |
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| Online Access: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/69619 |
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| author | Eduardo Alves da Silva André Boscolo Nogueira da Gama Valter Carvalho de Andrade Júnior Orlando Gonçalves Brito Ariana Lemes da Costa Ana Izabela Freire |
| author_facet | Eduardo Alves da Silva André Boscolo Nogueira da Gama Valter Carvalho de Andrade Júnior Orlando Gonçalves Brito Ariana Lemes da Costa Ana Izabela Freire |
| author_sort | Eduardo Alves da Silva |
| collection | DOAJ |
| description |
Utilizing selection indices is an effective strategy for the simultaneous evaluation of multiple traits in kale breeding programs. This approach allows for the selection of kale genotypes that exhibit enhanced productivity and adaptability by combining desirable attributes for the crop. In this study, we employed a mixed model approach in combination with various selection indices to estimate selection gains and recommend the most suitable index for kale breeding. The experiment was conducted at the Center of Development and Technology Transfer, Federal University of Lavras, Ijaci, MG. Thirty-four experimental genotypes were assessed in a randomized block design with three replicates, featuring four plants per plot. We evaluated several traits, including total leaf yield, number of leaves, average leaf mass, number of sprouts and chlorophyll content. Data analysis was performed at both the plot average level and the average quantity of the five harvests. Statistical analysis of mixed models confirmed the presence of genetic variability among kale genotypes. We examined the Smith and Hazel, Mulamba and Mock, Z-index, and FAI-BLUP indices. Smith and Hazel, Mulamba and Mock, as well as Z-index, were found unsuitable for leafy kale selection in breeding programs. The FAI-BLUP index demonstrated superior performance, aligning with the specific objectives of the kale breeding program and offering desirable gains. Therefore, we recommend the use of the FAI-BLUP index in kale breeding programs.
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| format | Article |
| id | doaj-art-fa6c9b535d1648a8a6c8c82dd33e48a6 |
| institution | Kabale University |
| issn | 1679-9275 1807-8621 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Eduem (Editora da Universidade Estadual de Maringá) |
| record_format | Article |
| series | Acta Scientiarum: Agronomy |
| spelling | doaj-art-fa6c9b535d1648a8a6c8c82dd33e48a62024-11-09T07:32:18ZengEduem (Editora da Universidade Estadual de Maringá)Acta Scientiarum: Agronomy1679-92751807-86212024-11-0147110.4025/actasciagron.v47i1.69619Combination of mixed linear model approach with selection indices in kale breeding programsEduardo Alves da Silva0André Boscolo Nogueira da Gama1Valter Carvalho de Andrade Júnior2Orlando Gonçalves Brito3Ariana Lemes da Costa4Ana Izabela Freire 5Universidade Federal de LavrasUniversidade Federal de LavrasUniversidade Federal de LavrasUniversidade Federal de LavrasUniversidade Federal de LavrasUniversidade Federal de Lavras Utilizing selection indices is an effective strategy for the simultaneous evaluation of multiple traits in kale breeding programs. This approach allows for the selection of kale genotypes that exhibit enhanced productivity and adaptability by combining desirable attributes for the crop. In this study, we employed a mixed model approach in combination with various selection indices to estimate selection gains and recommend the most suitable index for kale breeding. The experiment was conducted at the Center of Development and Technology Transfer, Federal University of Lavras, Ijaci, MG. Thirty-four experimental genotypes were assessed in a randomized block design with three replicates, featuring four plants per plot. We evaluated several traits, including total leaf yield, number of leaves, average leaf mass, number of sprouts and chlorophyll content. Data analysis was performed at both the plot average level and the average quantity of the five harvests. Statistical analysis of mixed models confirmed the presence of genetic variability among kale genotypes. We examined the Smith and Hazel, Mulamba and Mock, Z-index, and FAI-BLUP indices. Smith and Hazel, Mulamba and Mock, as well as Z-index, were found unsuitable for leafy kale selection in breeding programs. The FAI-BLUP index demonstrated superior performance, aligning with the specific objectives of the kale breeding program and offering desirable gains. Therefore, we recommend the use of the FAI-BLUP index in kale breeding programs. http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/69619Brassica oleracea sub acephala L.; biometry; genetic improvement; multivariate analysis; REML/BLUP. |
| spellingShingle | Eduardo Alves da Silva André Boscolo Nogueira da Gama Valter Carvalho de Andrade Júnior Orlando Gonçalves Brito Ariana Lemes da Costa Ana Izabela Freire Combination of mixed linear model approach with selection indices in kale breeding programs Acta Scientiarum: Agronomy Brassica oleracea sub acephala L.; biometry; genetic improvement; multivariate analysis; REML/BLUP. |
| title | Combination of mixed linear model approach with selection indices in kale breeding programs |
| title_full | Combination of mixed linear model approach with selection indices in kale breeding programs |
| title_fullStr | Combination of mixed linear model approach with selection indices in kale breeding programs |
| title_full_unstemmed | Combination of mixed linear model approach with selection indices in kale breeding programs |
| title_short | Combination of mixed linear model approach with selection indices in kale breeding programs |
| title_sort | combination of mixed linear model approach with selection indices in kale breeding programs |
| topic | Brassica oleracea sub acephala L.; biometry; genetic improvement; multivariate analysis; REML/BLUP. |
| url | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/69619 |
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