<b>Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach

Abstract

To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent informative prior distributions, it adopted the meta-analysis concept used in prior VCU assays

Performance of common bean genotypes as a function of growing seasons and technological input levels1

“…These results corroborate those of Pereira et al (2018), where BRS Esplendor had a high grain yield and tolerance to main diseases in a set of 17 genotypes evaluated in the southern region of Brazil. Euzebio et al (2018) showed the best performance of IPR Campos Gerais in face of unfavorable environments. Genotypes of indeterminate growth habit with a good resistance to diseases, such as BRS Esplendor (G2) and IPR Campos (G7), have a greater performance at distinct environmental conditions, having a longer flowering period and a higher leaf and branch production, indicating a better performance.…”

“…Genotypes with determined growth habits are less efficient in their nutrient absorption (Devi et al 2013, Trindade & Araújo 2014) than genotypes with growth habits II and III and, thus, they require the use of high-technology methods, due to their lower genotype stability. A supply of N to common bean is practicable and essential for higher yields, due to its symbiotic process being inefficient (Fageria et al 2014, Farid et al 2016, Argaw & Muleta 2017.…”

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

“…The common bean ( Phaseolus vulgaris L.) is a legume highly valued and cultivated worldwide, mainly due to its high nutritional quality, being an important source of protein in human food 1 . In Brazil, this culture has great socioeconomic importance and stands out in subsistence agriculture, being cultivated in different environments and at different technological levels of production 2 .…”

“…Despite the advantages offered, the classic AMMI analysis has limitations that restrict or make its use unfeasible, such as the impossibility of working with unbalanced and/or heteroscedastic data sets, the requirement OPEN 1 Universidade Federal Rural de Pernambuco, Recife, PE, Brazil. 2 Universidade Federal da Grande Dourados, Dourados, MS, Brazil. 3 Universidade Federal de Lavras, Lavras, MG, Brazil.…”

Adaptability and stability analysis of new popcorn simple hybrids evaluated using additive main effects and multiplicative interaction Bayesian approaches

“…Some of the main methods used to evaluate adaptability and stability of new cultivars using Bayesian approaches are Eberhart and Russel (Couto et al 2015;Euzebio et al 2018), segmented regression (Nascimento et al 2020), genotype plus genotype-by-environment interaction (GGE) biplot (Oliveira et al 2016) and AMMI (Crossa et al 2011;Freiria et al 2020;Viele and Srinivasan 2000) methodologies. In general, Bayesian approaches to determine adaptability and stability show some advantages like the possibility to use data containing unbalanced structures, and/or under residual heterogeneity (Aczel et al 2020).…”