AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil
Abstract The productivity of beans is greatly influenced by the different edaphoclimatic conditions in the Agreste-Sertão region, requiring the identification of adapted and stable genotypes to minimize the effects of the interaction between genotypes per environments (GxE). The objective of this wo...
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| Format: | Article |
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Nature Portfolio
2023-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-31768-5 |
| _version_ | 1797859961664962560 |
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| author | Gérsia Gonçalves de Melo Luciano Antonio de Oliveira Carlos Pereira da Silva Alessandra Querino da Silva Maxwel Rodrigues Nascimento Ranoel José de Sousa Gonçalves Paulo Ricardo dos Santos Antônio Félix da Costa Damião Ranieri Queiroz José Wilson da Silva |
| author_facet | Gérsia Gonçalves de Melo Luciano Antonio de Oliveira Carlos Pereira da Silva Alessandra Querino da Silva Maxwel Rodrigues Nascimento Ranoel José de Sousa Gonçalves Paulo Ricardo dos Santos Antônio Félix da Costa Damião Ranieri Queiroz José Wilson da Silva |
| author_sort | Gérsia Gonçalves de Melo |
| collection | DOAJ |
| description | Abstract The productivity of beans is greatly influenced by the different edaphoclimatic conditions in the Agreste-Sertão region, requiring the identification of adapted and stable genotypes to minimize the effects of the interaction between genotypes per environments (GxE). The objective of this work was to analyze the adaptability and stability of carioca bean pre-cultivars in three municipalities in the Agreste-Sertão of Pernambuco using the AMMI model in its Bayesian version BAMMI and compare the results with the frequentist approach. According to the results, the BAMMI analysis showed better predictive capacity, as well as better performance in the study of adaptability and stability. The cultivar BRS Notável stood out in terms of main effect and stability. Adaptability of genotypes to specific locations was also observed, enabling the use of the positive effect of the GxE interaction, which was more evident with the BAMMI model. From this work, the flexibility of BAMMI model to deal with data resulting from multi-environmental experiments can be seen, overcoming limitations of the standard analysis of the AMMI model. |
| first_indexed | 2024-04-09T21:38:03Z |
| format | Article |
| id | doaj.art-8400861084e041a4b0134a04aa500a28 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T21:38:03Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8400861084e041a4b0134a04aa500a282023-03-26T11:10:22ZengNature PortfolioScientific Reports2045-23222023-03-0113111310.1038/s41598-023-31768-5AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, BrazilGérsia Gonçalves de Melo0Luciano Antonio de Oliveira1Carlos Pereira da Silva2Alessandra Querino da Silva3Maxwel Rodrigues Nascimento4Ranoel José de Sousa Gonçalves5Paulo Ricardo dos Santos6Antônio Félix da Costa7Damião Ranieri Queiroz8José Wilson da Silva9Universidade Federal Rural de PernambucoUniversidade Federal da Grande DouradosUniversidade Federal de LavrasUniversidade Federal da Grande DouradosUniversidade Estadual Do Norte Fluminense Darcy RibeiroUniversidade Federal de Campina GrandeInstituto Federal do AmapáInstituto Agronômico de PernambucoUniversidade Federal Rural de PernambucoUniversidade Federal Rural de PernambucoAbstract The productivity of beans is greatly influenced by the different edaphoclimatic conditions in the Agreste-Sertão region, requiring the identification of adapted and stable genotypes to minimize the effects of the interaction between genotypes per environments (GxE). The objective of this work was to analyze the adaptability and stability of carioca bean pre-cultivars in three municipalities in the Agreste-Sertão of Pernambuco using the AMMI model in its Bayesian version BAMMI and compare the results with the frequentist approach. According to the results, the BAMMI analysis showed better predictive capacity, as well as better performance in the study of adaptability and stability. The cultivar BRS Notável stood out in terms of main effect and stability. Adaptability of genotypes to specific locations was also observed, enabling the use of the positive effect of the GxE interaction, which was more evident with the BAMMI model. From this work, the flexibility of BAMMI model to deal with data resulting from multi-environmental experiments can be seen, overcoming limitations of the standard analysis of the AMMI model.https://doi.org/10.1038/s41598-023-31768-5 |
| spellingShingle | Gérsia Gonçalves de Melo Luciano Antonio de Oliveira Carlos Pereira da Silva Alessandra Querino da Silva Maxwel Rodrigues Nascimento Ranoel José de Sousa Gonçalves Paulo Ricardo dos Santos Antônio Félix da Costa Damião Ranieri Queiroz José Wilson da Silva AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil Scientific Reports |
| title | AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil |
| title_full | AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil |
| title_fullStr | AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil |
| title_full_unstemmed | AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil |
| title_short | AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil |
| title_sort | ammi bayesian perspective in the selection of pre cultivars of carioca beans in agreste sertao of pernambuco brazil |
| url | https://doi.org/10.1038/s41598-023-31768-5 |
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