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Multiple centroid method to evaluate the adaptability of alfalfa genotypes
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Zeitschriftentitel: | Revista Ceres |
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Personen und Körperschaften: | , , , , , |
In: | Revista Ceres, 62, 2015, 1, S. 30-36 |
Format: | E-Article |
Sprache: | Unbestimmt |
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author_facet |
Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião |
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author |
Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião |
spellingShingle |
Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião Revista Ceres Multiple centroid method to evaluate the adaptability of alfalfa genotypes General Agricultural and Biological Sciences General Veterinary |
author_sort |
nascimento, moysés |
spelling |
Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião 0034-737X FapUNIFESP (SciELO) General Agricultural and Biological Sciences General Veterinary http://dx.doi.org/10.1590/0034-737x201562010004 <jats:p>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.</jats:p> Multiple centroid method to evaluate the adaptability of alfalfa genotypes Revista Ceres |
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title |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_unstemmed |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_full |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_fullStr |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_full_unstemmed |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_short |
Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_sort |
multiple centroid method to evaluate the adaptability of alfalfa genotypes |
topic |
General Agricultural and Biological Sciences General Veterinary |
url |
http://dx.doi.org/10.1590/0034-737x201562010004 |
publishDate |
2015 |
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30-36 |
description |
<jats:p>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.</jats:p> |
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author | Nascimento, Moysés, Ferreira, Adésio, Nascimento, Ana Carolina Campana, Silva, Fabyano Fonseca e, Ferreira, Reinaldo de Paula, Cruz, Cosme Damião |
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description | <jats:p>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.</jats:p> |
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spelling | Nascimento, Moysés Ferreira, Adésio Nascimento, Ana Carolina Campana Silva, Fabyano Fonseca e Ferreira, Reinaldo de Paula Cruz, Cosme Damião 0034-737X FapUNIFESP (SciELO) General Agricultural and Biological Sciences General Veterinary http://dx.doi.org/10.1590/0034-737x201562010004 <jats:p>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.</jats:p> Multiple centroid method to evaluate the adaptability of alfalfa genotypes Revista Ceres |
spellingShingle | Nascimento, Moysés, Ferreira, Adésio, Nascimento, Ana Carolina Campana, Silva, Fabyano Fonseca e, Ferreira, Reinaldo de Paula, Cruz, Cosme Damião, Revista Ceres, Multiple centroid method to evaluate the adaptability of alfalfa genotypes, General Agricultural and Biological Sciences, General Veterinary |
title | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_full | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_fullStr | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_full_unstemmed | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_short | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_sort | multiple centroid method to evaluate the adaptability of alfalfa genotypes |
title_unstemmed | Multiple centroid method to evaluate the adaptability of alfalfa genotypes |
topic | General Agricultural and Biological Sciences, General Veterinary |
url | http://dx.doi.org/10.1590/0034-737x201562010004 |