Abstract
Abstract: The objective of this work was to evaluate the efficiency of the methods of Eberhart & Russell and Lin & Binns, modified for the automation of decision-making by fuzzy logic, in assessing the adaptability and stability of common bean (Phaseolus vulgaris) cultivars. Eighteen cultivars of the “carioca” commercial group were evaluated in 11 environments, in Brazil. All results were obtained by programming in the R software. The developed controllers were based on the fuzzy inference system developed by Mamdani. This system was modeled to enable interpretations of the method of Eberhart & Russell alone or together with the modified method of Lin & Binns. The controller based on Eberhart & Russell and the one based on Eberhart & Russell and Lin & Binns identified the same cultivars as having general adaptability, but differed as to the classification of cultivars adapted to unfavorable environments. The BRSMG Pioneiro, BRS Pontal, IAC-Carioca Tybatã, and IPR Juriti cultivars presented general adaptability, whereas Campeão, Pérola, and BRS Estilo showed specific adaptability to favorable environments. The fuzzy logic methods used are efficient and allow the classification of all evaluated cultivars.
Highlights
Common bean (Phaseolus vulgaris L.) is a crop of great social and economic importance for Brazil, as it is a staple food in the diet of the population
Fuzzy logic applied to different adaptability and stability methods in common bean Abstract – The objective of this work was to evaluate the efficiency of the methods of Eberhart & Russell and Lin & Binns, modified for the automation of decision-making by fuzzy logic, in assessing the adaptability and stability of common bean (Phaseolus vulgaris) cultivars
Fuzzy logic has great potential in studies of adaptability and stability, as a tool to interpret the parameters of the used methods and, to automate decisions that would be made by the breeders (Carneiro et al, 2018)
Summary
Common bean (Phaseolus vulgaris L.) is a crop of great social and economic importance for Brazil, as it is a staple food in the diet of the population. When there is a large number of genotypes and environments, for example, several parameters should be evaluated in isolation for each genotype, in order to select the best one In this context, Carneiro et al (2018) proposed fuzzy control systems as a tool to assist in decision-making in adaptability and stability studies. Fuzzy logic has great potential in studies of adaptability and stability, as a tool to interpret the parameters of the used methods and, to automate decisions that would be made by the breeders (Carneiro et al, 2018) This allows transforming a previously time-consuming and laborious process into a simple, practical, and fast one
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