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Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach
The objective of this work was to use the Bayesian approach, modeling the interaction of coffee genotypes with the environment, using a bisegmented regression to identify stable and adapted genotypes. A group of 43 promising genotypes of Coffea canephora was chosen. The genotypes were arranged in a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270379/ https://www.ncbi.nlm.nih.gov/pubmed/35803981 http://dx.doi.org/10.1038/s41598-022-15190-x |
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author | Partelli, Fabio Luiz da Silva, Flavia Alves Covre, André Monzoli Oliosi, Gleison Correa, Caio Cezar Guedes Viana, Alexandre Pio |
author_facet | Partelli, Fabio Luiz da Silva, Flavia Alves Covre, André Monzoli Oliosi, Gleison Correa, Caio Cezar Guedes Viana, Alexandre Pio |
author_sort | Partelli, Fabio Luiz |
collection | PubMed |
description | The objective of this work was to use the Bayesian approach, modeling the interaction of coffee genotypes with the environment, using a bisegmented regression to identify stable and adapted genotypes. A group of 43 promising genotypes of Coffea canephora was chosen. The genotypes were arranged in a randomized block design with three replications of seven plants each. The experimental plot was harvested four years in the study period, according to the maturation cycle of each genotype. The proposed Bayesian methodology was implemented in the free program R using rstanarm and coda packages. It was possible to use previous information on coffee genotypes as prior information on parameter distributions of an Adaptability and Stability model, which allowed obtaining shorter credibility intervals and good evidence of low bias in the model by the determination coefficient. After fine adjustments in the approach, it was possible to make inferences about the significant GxE interaction and to discriminate the coffee genotypes regarding production, adaptability, and stability. This is still a new approach for perennials, and since it allows more accurate estimates it can be advantageous when planning breeding programs. The Z21 genotype is recommended to compose part of selected genetic material for highly technical farmers, as it responds very well to the favorable environment, being one of the most productive and with excellent stability. |
format | Online Article Text |
id | pubmed-9270379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92703792022-07-10 Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach Partelli, Fabio Luiz da Silva, Flavia Alves Covre, André Monzoli Oliosi, Gleison Correa, Caio Cezar Guedes Viana, Alexandre Pio Sci Rep Article The objective of this work was to use the Bayesian approach, modeling the interaction of coffee genotypes with the environment, using a bisegmented regression to identify stable and adapted genotypes. A group of 43 promising genotypes of Coffea canephora was chosen. The genotypes were arranged in a randomized block design with three replications of seven plants each. The experimental plot was harvested four years in the study period, according to the maturation cycle of each genotype. The proposed Bayesian methodology was implemented in the free program R using rstanarm and coda packages. It was possible to use previous information on coffee genotypes as prior information on parameter distributions of an Adaptability and Stability model, which allowed obtaining shorter credibility intervals and good evidence of low bias in the model by the determination coefficient. After fine adjustments in the approach, it was possible to make inferences about the significant GxE interaction and to discriminate the coffee genotypes regarding production, adaptability, and stability. This is still a new approach for perennials, and since it allows more accurate estimates it can be advantageous when planning breeding programs. The Z21 genotype is recommended to compose part of selected genetic material for highly technical farmers, as it responds very well to the favorable environment, being one of the most productive and with excellent stability. Nature Publishing Group UK 2022-07-08 /pmc/articles/PMC9270379/ /pubmed/35803981 http://dx.doi.org/10.1038/s41598-022-15190-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Partelli, Fabio Luiz da Silva, Flavia Alves Covre, André Monzoli Oliosi, Gleison Correa, Caio Cezar Guedes Viana, Alexandre Pio Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title | Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title_full | Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title_fullStr | Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title_full_unstemmed | Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title_short | Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach |
title_sort | adaptability and stability of coffea canephora to dynamic environments using the bayesian approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270379/ https://www.ncbi.nlm.nih.gov/pubmed/35803981 http://dx.doi.org/10.1038/s41598-022-15190-x |
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