Adaptabilidade e estabilidade via regressão não paramétrica em genótipos de café

Nascimento, Moysés; Ferreira, Adésio; Ferrão, R. G.; Campana, Ana Carolina Mota; Bhering, Leonardo Lopes; Cruz, Cosme Damião; Ferrão, Maria Amélia Gava; Fonseca, Aymbiré Francisco Almeida da

doi:10.1590/s0100-204x2010000100006

Cited by 23 publications

(34 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Adaptability and stability parameters of 40 common bean cultivars with carioca grain evaluated in four environments in Minas Gerais, in 2013, based on the criterion of Eberhart and Russell (1966) In addition, the correlation coefficients of these genotypes were high (R 2 > 70%), indicating that much of their total variation can be explained by the adopted model. Regarding this value, Nascimento et al (2010) found that genotypes with R 2 > 70% were highly stable.…”

Section: Resultsmentioning

confidence: 98%

Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

Barili

Vale

Prado

et al. 2015

Crop Breed. Appl. Biotechnol.

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 98%

Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

Barili

Vale

Prado

et al. 2015

Crop Breed. Appl. Biotechnol.

View full text Add to dashboard Cite

show abstract

“…Several methods have been described to study adaptability and stability-mainly methods based on analysis of variance (Yates and Cochran, 1938;Plaisted and Peterson, 1959;Wricke, 1965;Annicchiarico, 1992), nonparametric analyses (Lin and Binns, 1988;Huehn, 1990;Nascimento et al, 2010), simple linear regression analysis (Theil, 1950;Finlay and Wilkinson, 1963;Eberhart and Russel, 1966;Tai, 1971), bi-segmented regression (Verma et al, 1978;Silva and Barreto, 1985;Cruz et al, 1989;Storck and Vencovsky, 1994), quadratic regression (Brasil and Chaves, 1994), and multivariate analysis, such as the additive main effects and multiplicative interaction analysis (Zobel et al, 1988) and principal components analysis (Crossa, 1990). Also applicable is the ranking method proposed by Kang and Phan (1991), which uses the weights between the parameters of adaptability and phenotype stability of correlated methods and the average of the estimates of the trait analyzed to classify genotypes.…”

Section: Introductionmentioning

confidence: 99%

Stability and adaptability of popcorn genotypes in the State of Rio de Janeiro, Brazil

Ls³

et al. 2012

Genet. Mol. Res.

View full text Add to dashboard Cite

ABSTRACT. This study aimed to obtain estimates of stability and adaptability of phase launched materials and materials recommended in the country, for the northern and northwestern regions of Rio de Janeiro State, Brazil, and made a comparative analysis of different methods to evaluate stability and adaptability of grain yield and popping expansion. To this end, 10 genotypes were evaluated (UNB2U-C3, UNB2U-C4, BRS Angela, Viçosa, Beija-Flor, IAC 112, IAC 125, Zélia, Jade, and UFVM2 Barão de Viçosa) in five environments. The Yates and Cochran method revealed that genotypes UFV2M Barão de Viçosa, BRS Angela and UNB2U-C3 were the most stable for grain yield. This method also indicated superiority of genotypes UNB2U-C3, UNB2U-C4, BRS Angela, Viçosa, IAC 125, and Zélia for popping expansion. The Plaisted and Peterson and Wricke methods demonstrated that genotypes Zélia and UNB2U-C4 were the most productive and stable. These methods indicated genotypes UNB2U-C3 and BRS Angela as the most stable for popping expansion. The Kang and Phan ranking system uses methods based on analysis of variance and classified population UNB2U-C4 as the genotype with the highest stability of grain production and confirmed cultivar BRS Angela as the most stable for popping expansion. Genotypes IAC 112 and UNB2U-C4 were the most stable and adapted for grain yield, according to the Lin and Binns method. The P i statistics also ranked UNB2U-C3 and UNB2U-C4 as the genotypes with the best predictability and capacity for popping expansion.

show abstract

“…Nonparametric methods, such as those developed by Lin & Binns (1988), Nascimento et al (2010), centroid (Rocha et al, 2005) and its subsequent developments the multiple centroid (Nascimento et al, 2009a) and the extended centroid (Nascimento et al, 2009b) are also reported.…”

Section: Introductionmentioning

confidence: 99%

Multiple centroid method to evaluate the adaptability of alfalfa genotypes

et al. 2015

Self Cite

View full text Add to dashboard Cite

This study aimed to evaluate the efficiency of multiple centroids to study the adaptability of alfalfa genotypes (Medicago sativa L.). In this method, the genotypes are compared with ideotypes defined by the bissegmented regression model, according to the researcher's interest. Thus, genotype classification is carried out as determined by the objective of the researcher and the proposed recommendation strategy. Despite the great potential of the method, it needs to be evaluated under the biological context (with real data). In this context, we used data on the evaluation of dry matter production of 92 alfalfa cultivars, with 20 cuttings, from an experiment in randomized blocks with two repetitions carried out from November 2004 to June 2006. The multiple centroid method proved efficient for classifying alfalfa genotypes. Moreover, it showed no unambiguous indications and provided that ideotypes were defined according to the researcher's interest, facilitating data interpretation. Metodologia dos centroides múltiplos para avaliação da adaptabilidade em genótipos de alfafaEste trabalho teve como objetivo avaliar a eficiência do método dos centroides múltiplos em um estudo de adaptabilidade de genótipos de alfafa (Medicago sativa L.). Neste método os genótipos são comparados a ideótipos definidos de acordo com o interesse do pesquisador por meio do modelo de regressão bissegmentada. Desta forma a classificação dos genótipos é realizada conforme objetivo do pesquisador e a estratégia de recomendação desejada. Apesar do grande potencial do método há a necessidade que o mesmo seja avaliado sob o aspecto biológico (com dados reais). Assim, diante deste contexto foram utilizados dados provenientes de um experimento em blocos casualizados com 2 repetições, que constituiu-se da avaliação da produção de matéria seca de 92 cultivares de alfafa em 20 cortes, realizados no período de novembro de 2004 a junho de 2006. A metodologia dos Centroides Múltiplos mostrou-se eficiente na classificação de genótipos de alfafa. Além de não apresentar duplicidade de indicações e proporcionar que ideótipos fossem definidos de acordo com o interesse do pesquisador facilitando a interpretação dos dados.Palavras-chave: componentes principais, interação genótipos x ambientes, Medicago sativa L.

show abstract

Adaptabilidade e estabilidade via regressão não paramétrica em genótipos de café

Cited by 23 publications

References 9 publications

Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

Stability and adaptability of popcorn genotypes in the State of Rio de Janeiro, Brazil

Multiple centroid method to evaluate the adaptability of alfalfa genotypes

Contact Info

Product

Resources

About