Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices
Low cowpea productivity (Vigna unguiculata (L.) Walp) in the semi-arid region of Paraíba is due, among other factors, to poor-quality cultivars. This research tested biometric models intending to increase productivity of superior cultivars with the following objectives: i. Estimate genetic gains in...
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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/5153 |
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Revista de la Facultad de Ciencias Agrarias |
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| author |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Silva Souto, Lauter Gil de Luna, Rômulo de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Silva Souto, Jabob Neder, Diogo Gonçalves Dutra Filho, João de Andrade dos Santos Souza, Anielson |
| spellingShingle |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Silva Souto, Lauter Gil de Luna, Rômulo de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Silva Souto, Jabob Neder, Diogo Gonçalves Dutra Filho, João de Andrade dos Santos Souza, Anielson Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices Selection indices Genetic improvement Simultaneous selection Productivity correlated response Vigna unguiculata (L.) Walp. índices de selección mejoramiento genético selección simultánea productividad respuesta correlacionada |
| author_facet |
Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Silva Souto, Lauter Gil de Luna, Rômulo de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Silva Souto, Jabob Neder, Diogo Gonçalves Dutra Filho, João de Andrade dos Santos Souza, Anielson |
| author_sort |
Gomes Alvino, Francisco Cássio |
| title |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices |
| title_short |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices |
| title_full |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices |
| title_fullStr |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices |
| title_full_unstemmed |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices |
| title_sort |
biometric genetics in cowpea beans (vigna unguiculata (l.) walp) ii: estimates of genetic gains through selection indices |
| description |
Low cowpea productivity (Vigna unguiculata (L.) Walp) in the semi-arid region of Paraíba is due, among other factors, to poor-quality cultivars. This research tested biometric models intending to increase productivity of superior cultivars with the following objectives: i. Estimate genetic gains in production components; ii. Identify the selection index model providing the greatest gains through simultaneously selecting a set of variables, and iii. Select cultivars with higher productivity. The experiment was carried out in the experimental field of the Agrifood Science and Technology Center of the Federal University of Campina Grande. Eight cultivars and 13 variables were evaluated. Data were subjected to ANOVA and means were grouped using the Scott and Knott test. Genetic gains were estimated by correlated response, classic selection index, rank sum and index based on desired gains. Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. Among the methodologies used, the classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. These results allow concluding that Costela de vaca, BRS Marataoã and Paulistinha cultivars should be selected for cultivation and commercial exploitation in the semiarid region of Paraíba.
Highlights:
Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield.
The classic selection index provided greater distribution of genetic gains for main grain yield and primary production components.
Cultivars were selected for cultivation and commercial exploitation in the semi-arid region of Paraíba.
|
| publisher |
Facultad de Ciencias Agrarias-UNCuyo |
| publishDate |
2023 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5153 |
| topic |
Selection indices Genetic improvement Simultaneous selection Productivity correlated response Vigna unguiculata (L.) Walp. índices de selección mejoramiento genético selección simultánea productividad respuesta correlacionada |
| topic_facet |
Selection indices Genetic improvement Simultaneous selection Productivity correlated response Vigna unguiculata (L.) Walp. índices de selección mejoramiento genético selección simultánea productividad respuesta correlacionada |
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| _version_ |
1800220933137367040 |
| spelling |
I11-R107article-51532023-09-14T19:00:14Z Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices Gomes Alvino, Francisco Cássio de Almeida Lacerda, Rodolfo Rodrigo de Sousa Alves, Leonardo Silva Souto, Lauter Gil de Luna, Rômulo de Castro Silva, Marcelo Cleon Silva Dantas, Jussara Silva Souto, Jabob Neder, Diogo Gonçalves Dutra Filho, João de Andrade dos Santos Souza, Anielson Selection indices Genetic improvement Simultaneous selection Productivity correlated response Vigna unguiculata (L.) Walp. índices de selección mejoramiento genético selección simultánea productividad respuesta correlacionada Low cowpea productivity (Vigna unguiculata (L.) Walp) in the semi-arid region of Paraíba is due, among other factors, to poor-quality cultivars. This research tested biometric models intending to increase productivity of superior cultivars with the following objectives: i. Estimate genetic gains in production components; ii. Identify the selection index model providing the greatest gains through simultaneously selecting a set of variables, and iii. Select cultivars with higher productivity. The experiment was carried out in the experimental field of the Agrifood Science and Technology Center of the Federal University of Campina Grande. Eight cultivars and 13 variables were evaluated. Data were subjected to ANOVA and means were grouped using the Scott and Knott test. Genetic gains were estimated by correlated response, classic selection index, rank sum and index based on desired gains. Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. Among the methodologies used, the classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. These results allow concluding that Costela de vaca, BRS Marataoã and Paulistinha cultivars should be selected for cultivation and commercial exploitation in the semiarid region of Paraíba. Highlights: Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. The classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. Cultivars were selected for cultivation and commercial exploitation in the semi-arid region of Paraíba. Low cowpea productivity (Vigna unguiculata (L.) Walp) in the semi-arid region of Paraíba is due, among other factors, to poor-quality cultivars. This research tested biometric models intending to increase productivity of superior cultivars with the following objectives: i. Estimate genetic gains in production components; ii. Identify the selection index model providing the greatest gains through simultaneously selecting a set of variables, and iii. Select cultivars with higher productivity. The experiment was carried out in the experimental field of the Agrifood Science and Technology Center of the Federal University of Campina Grande. Eight cultivars and 13 variables were evaluated. Data were subjected to ANOVA and means were grouped using the Scott and Knott test. Genetic gains were estimated by correlated response, classic selection index, rank sum and index based on desired gains. Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. Among the methodologies used, the classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. These results allow concluding that Costela de vaca, BRS Marataoã and Paulistinha cultivars should be selected for cultivation and commercial exploitation in the semiarid region of Paraíba. Highlights: Direct selection of the secondary pod yield component provides significant genetic gains in main grain yield. The classic selection index provided greater distribution of genetic gains for main grain yield and primary production components. Cultivars were selected for cultivation and commercial exploitation in the semi-arid region of Paraíba. 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/5153 10.48162/rev.39.103 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 55 No. 1 (2023): January-June; 140-148 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 55 Núm. 1 (2023): Enero-Junio; 140-148 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5153/5500 Derechos de autor 2018 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es |
