Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans

Detalhes bibliográficos
Autor(a) principal: Gurgel, Fábio de Lima
Data de Publicação: 2017
Outros Autores: Azevedo Peixoto, Leonardo de, Bhering, Leonardo Lopes, Laviola, Bruno Galvêas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
DOI: 10.14393/BJ-v33n6a2017-36757
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/36757
Resumo: Field experiment should be carried out with high accuracy since the discarding of a trial involves waste of time and resources, and can mislead breeders in selecting inferior genotypes. The simulation of a large number of experiments with great variability of traits is the main strategy to assist breeders on how to perform the experiment. Therefore, the objective of this study was to evaluate two criteria to infer the experimental quality: Coefficient of Variation (CV) and repeatability coefficient. Experimental data from evaluations of common bean lines carried out in 104 experiments were used in this study. The simulation of the scenarios used the following parameters: number of cultivars, number of blocks, genetic variance, mean yield, and coefficient of variation. Two thousand replications for each scenario were simulated. Genotypes means were arranged in an order, and the Spearman correlation was obtained between the estimated genotypes mean and the true genotypic values. Results revealed that CV is not a reliable parameter to evaluate the quality of experiment in the field. In conclusion, repeatability coefficient is the parameter that defines the discarding criteria of evaluation experiments and the recommendation of cultivars, as long as the values for each response variable are established.
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spelling Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans Repetibilidade revela ser um método eficiente para avaliar a qualidade de experimentos em feijãoPhaseolus vulgarisCultivarsExperimental accuracyStatistics methodsAgricultural SciencesField experiment should be carried out with high accuracy since the discarding of a trial involves waste of time and resources, and can mislead breeders in selecting inferior genotypes. The simulation of a large number of experiments with great variability of traits is the main strategy to assist breeders on how to perform the experiment. Therefore, the objective of this study was to evaluate two criteria to infer the experimental quality: Coefficient of Variation (CV) and repeatability coefficient. Experimental data from evaluations of common bean lines carried out in 104 experiments were used in this study. The simulation of the scenarios used the following parameters: number of cultivars, number of blocks, genetic variance, mean yield, and coefficient of variation. Two thousand replications for each scenario were simulated. Genotypes means were arranged in an order, and the Spearman correlation was obtained between the estimated genotypes mean and the true genotypic values. Results revealed that CV is not a reliable parameter to evaluate the quality of experiment in the field. In conclusion, repeatability coefficient is the parameter that defines the discarding criteria of evaluation experiments and the recommendation of cultivars, as long as the values for each response variable are established.A decisão de descartar um experimento envolve um grande desperdício de tempo e dinheiro e, portanto, e os experimentos de campo precisam ser desenvolvidos com a maior acurácia possível para que o melhoristanão selecione genótipos inferiores. A simulação de um grande número de experimentos e características é a príncipal estratégia para ajudar os melhoristas na montagem dos experimentos. O objetivo deste trabalho foi avaliar dois critérios para verificar a eficiência de um experimento: Coeficiente de variação (CV) e coeficiente de repetibilidade. Dados de 104 experimentais de avaliação de linhagens de feijoeiro foram utilizados. Para a simulação dos experimentos, os seguintes parâmetros foram considerados: número de cultivares, número de blocos, variância genética, média de produtividade e coeficiente de variação. Foram simuladas 2000 repetições para cada cenário. As médias dos genótipos foram ordenadas e a correlação de Spearman entre os valores observados e os valores genotípicos reais foram obtidas. Os resultados revelaram que o CV não é um estimador confiável para a avaliação da qualidade do ensaio em experimentos de campo. Concluiu-seque o coeficiente repetibilidade é o parâmetro que possibilitará definir critérios mais precisos de descarte de experimentos de avaliação e recomendação de cultivares.EDUFU2017-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3675710.14393/BJ-v33n6a2017-36757Bioscience Journal ; Vol. 33 No. 6 (2017): Nov./Dec.; 1465-1473Bioscience Journal ; v. 33 n. 6 (2017): Nov./Dec.; 1465-14731981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/36757/21156Brazil; ContemporaryCopyright (c) 2017 Fábio de Lima Gurgel, Leonardo de Azevedo Peixoto, Leonardo Lopes Bhering, Bruno Galvêas Laviolahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGurgel, Fábio de LimaAzevedo Peixoto, Leonardo deBhering, Leonardo LopesLaviola, Bruno Galvêas2022-02-11T20:05:01Zoai:ojs.www.seer.ufu.br:article/36757Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-11T20:05:01Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
Repetibilidade revela ser um método eficiente para avaliar a qualidade de experimentos em feijão
title Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
spellingShingle Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
Gurgel, Fábio de Lima
Phaseolus vulgaris
Cultivars
Experimental accuracy
Statistics methods
Agricultural Sciences
Gurgel, Fábio de Lima
Phaseolus vulgaris
Cultivars
Experimental accuracy
Statistics methods
Agricultural Sciences
title_short Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
title_full Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
title_fullStr Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
title_full_unstemmed Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
title_sort Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans
author Gurgel, Fábio de Lima
author_facet Gurgel, Fábio de Lima
Gurgel, Fábio de Lima
Azevedo Peixoto, Leonardo de
Bhering, Leonardo Lopes
Laviola, Bruno Galvêas
Azevedo Peixoto, Leonardo de
Bhering, Leonardo Lopes
Laviola, Bruno Galvêas
author_role author
author2 Azevedo Peixoto, Leonardo de
Bhering, Leonardo Lopes
Laviola, Bruno Galvêas
author2_role author
author
author
dc.contributor.author.fl_str_mv Gurgel, Fábio de Lima
Azevedo Peixoto, Leonardo de
Bhering, Leonardo Lopes
Laviola, Bruno Galvêas
dc.subject.por.fl_str_mv Phaseolus vulgaris
Cultivars
Experimental accuracy
Statistics methods
Agricultural Sciences
topic Phaseolus vulgaris
Cultivars
Experimental accuracy
Statistics methods
Agricultural Sciences
description Field experiment should be carried out with high accuracy since the discarding of a trial involves waste of time and resources, and can mislead breeders in selecting inferior genotypes. The simulation of a large number of experiments with great variability of traits is the main strategy to assist breeders on how to perform the experiment. Therefore, the objective of this study was to evaluate two criteria to infer the experimental quality: Coefficient of Variation (CV) and repeatability coefficient. Experimental data from evaluations of common bean lines carried out in 104 experiments were used in this study. The simulation of the scenarios used the following parameters: number of cultivars, number of blocks, genetic variance, mean yield, and coefficient of variation. Two thousand replications for each scenario were simulated. Genotypes means were arranged in an order, and the Spearman correlation was obtained between the estimated genotypes mean and the true genotypic values. Results revealed that CV is not a reliable parameter to evaluate the quality of experiment in the field. In conclusion, repeatability coefficient is the parameter that defines the discarding criteria of evaluation experiments and the recommendation of cultivars, as long as the values for each response variable are established.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/36757
10.14393/BJ-v33n6a2017-36757
url https://seer.ufu.br/index.php/biosciencejournal/article/view/36757
identifier_str_mv 10.14393/BJ-v33n6a2017-36757
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/36757/21156
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 33 No. 6 (2017): Nov./Dec.; 1465-1473
Bioscience Journal ; v. 33 n. 6 (2017): Nov./Dec.; 1465-1473
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
_version_ 1822179644912173056
dc.identifier.doi.none.fl_str_mv 10.14393/BJ-v33n6a2017-36757

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