Multiple centroid method to evaluate the adaptability of alfalfa genotypes

Nascimento, Moysés; Ferreira, Adésio; Nascimento, Ana Carolina Campana; Silva, Fabyano Fonseca e; Ferreira, Reinaldo de Paula; Cruz, Cosme Damião

doi:10.1590/0034-737x201562010004

Cited by 13 publications

(9 citation statements)

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“…In the adaptability and stability analysis, the first two principal components accounted for over 86% of the total variation (Table 3), which was above the values for alfalfa by the methods of modified centroid (Nascimento et al 2009) and multiple centroid (Nascimento et al 2015), generating a two-dimensional plot of genotype dispersion (Figure 1). Heterogeneous distribution of genotypes was observed for yield; however, some points (genotypes) were very close to four of the seven proposed centroids, allowing the classification of genotypes as maximum general adaptability (ideotype I), minimum adaptability (ideotype IV), mean general adaptability (ideotype V), and mean specific adaptability to favorable environments (ideotype VI).…”

Section: Resultsmentioning

confidence: 93%

Adaptability and stability of organic-grown arabica coffee production using the modified centroid method

Moura

Oliveira

Gonçalves³

et al. 2017

Crop Breed. Appl. Biotechnol.

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Section: Resultsmentioning

confidence: 93%

Adaptability and stability of organic-grown arabica coffee production using the modified centroid method

Moura

Oliveira

Gonçalves³

et al. 2017

Crop Breed. Appl. Biotechnol.

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“…There are methods based on analysis of variance (Plaisted & Peterson, 1959;Wricke, 1965), regression (Cruz, Torres, & Vencovsky, 1989;Eberhart & Russell, 1966;Finlay & Wilkinson, 1963;Tai, 1971;Barroso et al, 2015), nonparametric methods (Lin & Binns, 1988;Rocha, Muro-Abad, Araújo, & Cruz, 2005;Nascimento et al, 2015), linear mixed models Reml/Blup (Resende, 2004), bayesian methods (Couto et al, 2015), and artificial neural networks (Barroso et al, 2013;.…”

Section: Introductionmentioning

confidence: 99%

<b>Fuzzy control systems for decision-making in cultivars recommendation

et al. 2018

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ABSTRACT. The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes.Keywords: common bean; adaptability and stability; computational intelligence.Sistemas de controle fuzzy para tomada de decisão na recomendação de cultivares RESUMO. O presente estudo tem como objetivo propor sistemas de controle fuzzy para auxiliar na recomendação de cultivares de diversas culturas agronômicas. Para avaliar a aplicabilidade desses controladores foram utilizados dados de produtividade de grãos de 23 linhagens e duas cultivares de feijão do grupo comercial vermelho, avaliados em nove ambientes da Zona da Mata do Estado de Minas Gerais, Brasil. A partir dos parâmetros da análise de Eberhart e Russell foram desenvolvidos controladores fuzzy com sistemas de inferência Mamdani e Sugeno. Foram realizadas análises de variância conjunta e de adaptabilidade e estabilidade pelo método de Eberhart e Russell e os parâmetros obtidos para cada linhagem foram submetidos aos respectivos controladores. Verificou-se a ocorrência de interação genótipos por ambientes significativa, existindo a necessidade da realização de análises de adaptabilidade e estabilidade. Em ambos os controladores (Mamdani e Sugeno), sete linhagens (2, 9, 14, 16, 17, 20 e 23) apresentaram adaptabilidade geral, enquanto que somente a linhagem 15 apresentou adaptabilidade a ambientes desfavoráveis. Verificou-se também que ambos os sistemas de inferência adotados, são úteis para desenvolver controladores que visam recomendação de cultivares. Assim, constatou-se potencialidade dos sistemas de controle fuzzy na identificação do comportamento das linhagens de feijoeiro.Palavras-chave: feijão comum; adaptabilidade e estabilidade; inteligência computacional.

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“…Coffee Science, 15:e151711, 2020 obtained, using the minimum, medium and maximum performances in favorable and unfavorable environments (Rocha et al, 2005;Nascimento et al, 2015). The clones under evaluation were classified considering the Euclidean distance of each genotype in relation to the known behavior references (centroids), according to the Equation 3: (Laviola et al, 2007).…”

Section: Statistical Analysesmentioning

confidence: 99%

Beverage quality of most cultivated Coffea canephora clones in the Western Amazon

Dalazen

Rocha

Pereira

et al. 2020

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Most of the Western Amazon coffee production is made from growing unregistered clones, selected by the coffee growers themselves. The aim of this study is to evaluate the sensory profile and genetic diversity of the most cultivated Coffea canephora clones in the Western Amazon. Coffee samples at cherry stage of the clones 03, 05, 08, 25 and 66 were collected at eight municipalities in the main coffee growing zones, with altitudes ranging from 86 to 381 meters. Beverage quality was evaluated according to the Robusta Cupping Protocols and estimates of the genotype × environment interaction (GE) were made interpreting non-parametric and multivariate methods. The GE interaction was significant and the genetic component was also important to the expression of beverage quality (h 2 =82,23). The clones 25 and 05 have good attributes and mean score near 80 points. Sweetness was the sensory descriptor with the greatest impact on beverage quality of these two clones. Harshness was the descriptor that had the greatest negative impact on beverage quality of clone 66. The clones had complexities that differed and that were not necessarily associated with greater beverage quality. Despite the differences in their beverage attributes, these clones that are grown for their high productivity presented low genetic diversity of the beverage quality.

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Multiple centroid method to evaluate the adaptability of alfalfa genotypes

Cited by 13 publications

References 13 publications

Adaptability and stability of organic-grown arabica coffee production using the modified centroid method

Adaptability and stability of organic-grown arabica coffee production using the modified centroid method

<b>Fuzzy control systems for decision-making in cultivars recommendation

Beverage quality of most cultivated Coffea canephora clones in the Western Amazon

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