دورية أكاديمية

AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil.

التفاصيل البيبلوغرافية
العنوان: AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil.
المؤلفون: de Melo GG; Universidade Federal Rural de Pernambuco, Recife, PE, Brazil., de Oliveira LA; Universidade Federal da Grande Dourados, Dourados, MS, Brazil., da Silva CP; Universidade Federal de Lavras, Lavras, MG, Brazil., da Silva AQ; Universidade Federal da Grande Dourados, Dourados, MS, Brazil., Nascimento MR; Universidade Estadual Do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, RJ, Brazil. maxwel.rn88@gmail.com., de Sousa Gonçalves RJ; Universidade Federal de Campina Grande, Sumé, PB, Brazil., Dos Santos PR; Instituto Federal do Amapá, Porto Grande, AP, Brazil., da Costa AF; Instituto Agronômico de Pernambuco, Recife, PE, Brazil., Queiroz DR; Universidade Federal Rural de Pernambuco, Recife, PE, Brazil., da Silva JW; Universidade Federal Rural de Pernambuco, Recife, PE, Brazil.
المصدر: Scientific reports [Sci Rep] 2023 Mar 22; Vol. 13 (1), pp. 4700. Date of Electronic Publication: 2023 Mar 22.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Ammi*, Brazil ; Bayes Theorem ; Genotype ; Adaptation, Physiological
مستخلص: 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.
(© 2023. The Author(s).)
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تواريخ الأحداث: Date Created: 20230323 Date Completed: 20230324 Latest Revision: 20230417
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10033516
DOI: 10.1038/s41598-023-31768-5
PMID: 36949093
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-023-31768-5