Multiple centroid method to evaluate the adaptability of alfalfa genotypes
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.
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Universidade Federal de Viçosa
2015
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oai:scielo:S0034-737X20150001000302015-04-23Multiple centroid method to evaluate the adaptability of alfalfa genotypesNascimento,MoysésFerreira,AdésioNascimento,Ana Carolina CampanaSilva,Fabyano Fonseca eFerreira,Reinaldo de PaulaCruz,Cosme Damião principal components genotype x environment interaction Medicago sativa L. 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.info:eu-repo/semantics/openAccessUniversidade Federal de ViçosaRevista Ceres v.62 n.1 20152015-02-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2015000100030en10.1590/0034-737X201562010004 |
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Nascimento,Moysés Ferreira,Adésio Nascimento,Ana Carolina Campana Silva,Fabyano Fonseca e Ferreira,Reinaldo de Paula Cruz,Cosme Damião |
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Nascimento,Moysés Ferreira,Adésio Nascimento,Ana Carolina Campana Silva,Fabyano Fonseca e Ferreira,Reinaldo de Paula Cruz,Cosme Damião Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
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Nascimento,Moysés Ferreira,Adésio Nascimento,Ana Carolina Campana Silva,Fabyano Fonseca e Ferreira,Reinaldo de Paula Cruz,Cosme Damião |
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Nascimento,Moysés |
title |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_short |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_full |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
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Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
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Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
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multiple centroid method to evaluate the adaptability of alfalfa genotypes |
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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. |
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Universidade Federal de Viçosa |
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2015 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2015000100030 |
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