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599
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Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices
|
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10.48162/rev.39.103
|
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https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5153
|
| fecha_carga_str |
2023-07-24
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aceptado
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Revista de la Facultad de Ciencias Agrarias UNCuyo
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DOI-599
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2023
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siddoi
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| 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 |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices
|
| spellingShingle |
Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices
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https://doi.org/599
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Doi
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DOIS-UNCuyo
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Sistema Integrado de Documentación
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2023-08-31 09:36
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1775750856382087168
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<full_title>Revista de la Facultad de Ciencias Agrarias UNCuyo</full_title>
<abbrev_title>Rev. FCA UNCUYO</abbrev_title>
<issn media_type="electronic">1853-8665</issn>
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<title>Biometric genetics in Cowpea beans (Vigna unguiculata (L.) Walp) II: estimates of genetic gains through selection indices</title>
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<contributors>
<person_name contributor_role="author" sequence="first" language="en">
<given_name>Francisco Cássio</given_name>
<surname>Gomes Alvino</surname>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Rodolfo Rodrigo</given_name>
<surname>De Almeida Lacerda</surname>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Leonardo</given_name>
<surname>De Sousa Alves</surname>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Lauter</given_name>
<surname>Silva Souto</surname>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Rômulo</given_name>
<surname> Gil de Luna</surname>
<ORCID>https://orcid.org/0000-0002-8350-5615</ORCID>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Marcelo Cleon</given_name>
<surname>De Castro Silva</surname>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Jussara</given_name>
<surname>Silva Dantas</surname>
<ORCID>https://orcid.org/0000-0001-5539-0366</ORCID>
</person_name>
<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Jabob</given_name>
<surname>Silva Souto</surname>
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<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Diogo Gonçalves</given_name>
<surname>Neder</surname>
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<person_name contributor_role="author" sequence="additional" language="en">
<given_name>João</given_name>
<surname> de Andrade Dutra Filho</surname>
<alt-name>
<name language="es">
<surname>Dutra Filho</surname>
<given_name>João de Andrade</given_name>
</name>
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<person_name contributor_role="author" sequence="additional" language="en">
<given_name>Anielson</given_name>
<surname>Dos Santos Souza</surname>
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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.
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<month>07</month>
<day>05</day>
<year>2023</year>
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<first_page>140</first_page>
<last_page>148</last_page>
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