RESUMO
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.
Assuntos
Ammi , Brasil , Teorema de Bayes , Genótipo , Adaptação FisiológicaRESUMO
Upland cotton fiber is one of the most used natural fibers in the production of textile materials worldwide. For this reason, the selection of genotypes that meet the industry's requirements is one of the main goals of cotton breeding programs. This study aimed to estimate the phenotypic and genotypic correlations among fiber traits and identify the direct and indirect effects of these traits on seed cotton yield of upland cotton genotypes in the semi-arid Brazilian Northeast. This study assessed 21 upland cotton genotypes from a complete diallel cross without reciprocals. The design was randomized blocks, with three replications and 21 treatments. The experiment was conducted in the municipality of Patos - PB, in 2015. The statistical analysis consisted of analysis of variance by the F test, phenotypic and genotypic correlation analysis, and path analysis. The studied materials revealed genetic variability for all traits. Path analysis has shown that the traits fiber elongation, fiber strength, and fiber fineness have a direct positive effect on seed cotton yield.
A fibra do algodoeiro herbáceo é uma das fibras naturais mais utilizadas na produção de materiais têxteis no mundo. Portanto, a seleção de genótipos que atendam às exigências desta indústria é um dos principais objetivos dos programas de melhoramento do algodoeiro. O objetivo deste estudo foi estimar as correlações fenotípicas e genotípicas entre as características tecnológicas da fibra e identificar os efeitos diretos e indiretos destas características sobre a produtividade de algodão em caroço de genótipos de algodoeiro herbáceo no semiárido nordestino. Foram avaliados 21 genótipos de algodoeiro herbáceo provenientes de um cruzamento dialélico completo sem os recíprocos. O delineamento utilizado foi blocos completos ao acaso, com três repetições. O experimento foi conduzido no município de Patos - PB, em 2015. As análises estatísticas consistiram de análise de variância pelo teste F, análise de correlação fenotípica e genotípica e análise de trilha. Todas as características apresentaram variabilidade genética entre os genótipos estudados. A correlação fenotípica foi positiva entre CSP, COMP, UNF e RES. Foram observados efeitos indiretos de ALON, COMP e FIN sobre PROD, por meio das variáveis FIN, RD e +b.
