Black bean genotypes for adaptability, stability, and productivity via mixed models for the state of Rio de Janeiro, Brazil
| Autor: | Alexandre Gomes de Souza, Rogério Figueiredo Daher, Maxwel Rodrigues Nascimento, Benedito Fernandes de Souza Filho, Leonardo Cunha Melo, Geraldo de Amaral Gravina, Moisés Ambrósio, Josefa Grasiela Silva Santana, Ana Kesia Faria Vidal, Raiane Mariani Santos, Cleudiane Lopes Leite, João Esdras Calaça Farias, Rafael de Souza Freitas, Richardson Sales Rocha |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Ciência Rural, Vol 55, Iss 3 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1678-4596 0103-8478 |
| DOI: | 10.1590/0103-8478cr20230069 |
| Popis: | ABSTRACT: The study of adaptability, stability, and productivity is essential for selecting and recommending superior genotypes. This fact is particularly the case for the introduction of common bean cultivars in Rio de Janeiro, Brazil, whose production is negligible and does not meet the internal demand. Thus, this study estimated genetic parameters and selection gains and undertake a simultaneous selection for adaptability, stability, and productivity in black bean genotypes via mixed models. The investigation was carried out in three municipalities in the state of Rio de Janeiro during three crop years. The trials were set up in a randomized block design with 11 genotypes and three replications. High mean heritability (81%) and selection accuracy (90%), as well as good selection prospects, were observed. Gains between 1.03 and 9.49% were achieved for grain yield. Simultaneous selection was efficient, indicating two black bean lines (CNFP 15290 and CNFP 15361) as the most productive, adaptable, and stable. As such, these lines have the potential to be released as new black bean cultivars for the state of Rio de Janeiro. |
| Databáze: | Directory of Open Access Journals |
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