Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components
In the semi-arid region of Paraíba, cowpea has low productivity due to irregular rainfall and poor use of production technologies. An extensive study aimed at selecting more productive cultivars was conducted using biometric models. This first work had the following objectives: i. Quantify direct a...
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| Autores principales: | , , , , , , , , , , |
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Facultad de Ciencias Agrarias-UNCuyo
2023
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| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5152 |
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Revista de la Facultad de Ciencias Agrarias |
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Revista de la Facultad de Ciencias Agrarias |
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R-107 |
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eng |
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Online |
| author |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Souto, Lauter Silva de Luna, Rômulo Gil de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Souto, Jabob Silva Neder, Diogo Gonçalves Dutra Filho, João de Andrade Souza , Anielson dos Santos |
| spellingShingle |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Souto, Lauter Silva de Luna, Rômulo Gil de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Souto, Jabob Silva Neder, Diogo Gonçalves Dutra Filho, João de Andrade Souza , Anielson dos Santos Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components Path analysis Genetic improvement Selection Productivity Relationships among characters Vigna unguiculata (L.) Walp. análisis de ruta mejoramiento genético productividad relación entre personajes Vigna unguiculata (L.) Walp selección |
| author_facet |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Souto, Lauter Silva de Luna, Rômulo Gil de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Souto, Jabob Silva Neder, Diogo Gonçalves Dutra Filho, João de Andrade Souza , Anielson dos Santos |
| author_sort |
Gomes Alvino, Francisco Cássio |
| title |
Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components |
| title_short |
Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components |
| title_full |
Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components |
| title_fullStr |
Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components |
| title_full_unstemmed |
Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components |
| title_sort |
biometric genetics in cowpea beans (vigna unguiculata (l.) walp) i: phenotypic and genotypic relations among production components |
| description |
In the semi-arid region of Paraíba, cowpea has low productivity due to irregular rainfall and poor use of production technologies. An extensive study aimed at selecting more productive cultivars was conducted using biometric models. This first work had the following objectives: i. Quantify direct and indirect effects of primary and secondary components on grain production; ii. Identify variables with greater potential for cultivar selection in the semiarid region of Paraíba and iii. Determine the most appropriate selection strategies for the evaluated variables. The experiment was conducted in an experimental field. The influence of 6 primary and 6 secondary production components was evaluated on grain yield. Data were subjected to ANOVA. Genetic parameters, correlations and path analysis were estimated. Given the strong direct phenotypic and genotypic effects, pod yield results the most promising variable for higher grain yield selection. Direct and simultaneous selections are the most suitable strategies for the set of evaluated variables. However, further studies on selection indices are necessary to maximize genetic gains.
Highlights
Variables with greater potential were identified for the selection of superior cultivars of cowpea in the semiarid region of Paraíba.
The pod yield variable (PP) seems promising for cultivar selection considering higher grain yield (GY).
|
| publisher |
Facultad de Ciencias Agrarias-UNCuyo |
| publishDate |
2023 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5152 |
| topic |
Path analysis Genetic improvement Selection Productivity Relationships among characters Vigna unguiculata (L.) Walp. análisis de ruta mejoramiento genético productividad relación entre personajes Vigna unguiculata (L.) Walp selección |
| topic_facet |
Path analysis Genetic improvement Selection Productivity Relationships among characters Vigna unguiculata (L.) Walp. análisis de ruta mejoramiento genético productividad relación entre personajes Vigna unguiculata (L.) Walp selección |
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1800220932997906432 |
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I11-R107article-51522023-09-14T19:04:13Z Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components Biometric genetics in cowpea beans (Vigna unguiculata (L.) Walp) I: phenotypic and genotypic relations among production components Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Souto, Lauter Silva de Luna, Rômulo Gil de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Souto, Jabob Silva Neder, Diogo Gonçalves Dutra Filho, João de Andrade Souza , Anielson dos Santos Path analysis Genetic improvement Selection Productivity Relationships among characters Vigna unguiculata (L.) Walp. análisis de ruta mejoramiento genético productividad relación entre personajes Vigna unguiculata (L.) Walp selección In the semi-arid region of Paraíba, cowpea has low productivity due to irregular rainfall and poor use of production technologies. An extensive study aimed at selecting more productive cultivars was conducted using biometric models. This first work had the following objectives: i. Quantify direct and indirect effects of primary and secondary components on grain production; ii. Identify variables with greater potential for cultivar selection in the semiarid region of Paraíba and iii. Determine the most appropriate selection strategies for the evaluated variables. The experiment was conducted in an experimental field. The influence of 6 primary and 6 secondary production components was evaluated on grain yield. Data were subjected to ANOVA. Genetic parameters, correlations and path analysis were estimated. Given the strong direct phenotypic and genotypic effects, pod yield results the most promising variable for higher grain yield selection. Direct and simultaneous selections are the most suitable strategies for the set of evaluated variables. However, further studies on selection indices are necessary to maximize genetic gains. Highlights Variables with greater potential were identified for the selection of superior cultivars of cowpea in the semiarid region of Paraíba. The pod yield variable (PP) seems promising for cultivar selection considering higher grain yield (GY). In the semi-arid region of Paraíba, cowpea has low productivity due to irregular rainfall and poor use of production technologies. An extensive study aimed at selecting more productive cultivars was conducted using biometric models. This first work had the following objectives: i. Quantify direct and indirect effects of primary and secondary components on grain production; ii. Identify variables with greater potential for cultivar selection in the semiarid region of Paraíba and iii. Determine the most appropriate selection strategies for the evaluated variables. The experiment was conducted in an experimental field. The influence of 6 primary and 6 secondary production components was evaluated on grain yield. Data were subjected to ANOVA. Genetic parameters, correlations and path analysis were estimated. Given the strong direct phenotypic and genotypic effects, pod yield results the most promising variable for higher grain yield selection. Direct and simultaneous selections are the most suitable strategies for the set of evaluated variables. However, further studies on selection indices are necessary to maximize genetic gains. Highlights Variables with greater potential were identified for the selection of superior cultivars of cowpea in the semiarid region of Paraíba. The pod yield variable (PP) seems promising for cultivar selection considering higher grain yield (GY). Facultad de Ciencias Agrarias-UNCuyo 2023-07-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5152 10.48162/rev.39.102 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 55 No. 1 (2023): January-June; 126-139 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 55 Núm. 1 (2023): Enero-Junio; 126-139 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5152/5678 Derechos de autor 2023 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es |
