Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/42075 |
Resumo: | In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. |
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Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage productionEstimativas de repetibilidade e número mínimo de avaliações para seleção de genótipos de capim-elefante para produção de forragemPennisetum purpureum S.Coefficient of determinationMain componentsDry matter yieldPennisetum purpureum S.Coeficiente de determinaçãoProdutividade de matéria secaIn forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. No melhoramento de plantas forrageiras, a seleção de genótipos superiores tem sido realizada mediante a realização de cortes sucessivos em intervalos previamente estabelecidos. Entretanto este processo envolve muitas etapas, avaliação de muitos caracteres e um grande dispêndio de custos e mão-de-obra. Assim, a estimativa da repetibilidade é essencial no melhoramento de plantas perenes, pois permite predizer o valor genotípico do indivíduo, o número mínimo de avaliações na seleção de genótipos e minimiza recursos e tempo na seleção de indivíduos promissores. O objetivo deste trabalho foi obter estimativas do coeficiente de repetibilidade para caracteres morfoagronômicos em capim-elefante e determinar o número de avaliações necessárias para seleção fenotípica com maior eficiência. Utilizou-se delineamento experimental de blocos casualizados com 53 genótipos e duas repetições. Foram estimados os coeficientes de repetibilidade para as variáveis altura de plantas (ALT), número de perfilhos (NP), diâmetro de colmo (DC) e produtividade de matéria seca (PMS), utilizando-se os métodos da Anova, Componentes principais e Análise estrutural. Observaram-se diferenças significativas entre os genótipos (p<0,01) para todas as variáveis avaliadas. Os componentes principais proporcionam maiores estimativas de repetibilidade em relação aos demais métodos. As estimativas dos coeficientes de repetibilidade são de média a alta magnitude, para as variáveis ALT, NP e DC e de baixa magnitude para PMS. Com base no método dos Componentes Principais são necessárias cinco, cinco, duas e onze medidas para altura da planta, número de perfilhos, diâmetro do caule e rendimento de matéria seca, respectivamente, com 80% de confiabilidade.EDUFU2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4207510.14393/BJ-v36n1a2020-42075Bioscience Journal ; Vol. 36 No. 1 (2020): Jan./Feb.; 30-41Bioscience Journal ; v. 36 n. 1 (2020): Jan./Feb.; 30-411981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/42075/27506Copyright (c) 2020 Erina Vitório Rodrigues, Rogério Figueiredo Daher, Geraldo de Amaral Gravina, Alexandre Pio Viana, Maria do Socorro Bezerra de Araújo, Maria Lorraine Fonseca Oliveira, Marcelo Vivas, Bruna Rafaela da Silva Menezes, Antônio Vander Pereirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRodrigues, Erina VitórioDaher, Rogério Figueiredo Gravina, Geraldo de AmaralViana, Alexandre PioAraújo, Maria do Socorro Bezerra deOliveira, Maria Lorraine FonsecaVivas, MarceloMenezes, Bruna Rafaela da SilvaPereira, Antônio Vander2022-01-14T20:25:04Zoai:ojs.www.seer.ufu.br:article/42075Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-01-14T20:25:04Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production Estimativas de repetibilidade e número mínimo de avaliações para seleção de genótipos de capim-elefante para produção de forragem |
title |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
spellingShingle |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production Rodrigues, Erina Vitório Pennisetum purpureum S. Coefficient of determination Main components Dry matter yield Pennisetum purpureum S. Coeficiente de determinação Produtividade de matéria seca |
title_short |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
title_full |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
title_fullStr |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
title_full_unstemmed |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
title_sort |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
author |
Rodrigues, Erina Vitório |
author_facet |
Rodrigues, Erina Vitório Daher, Rogério Figueiredo Gravina, Geraldo de Amaral Viana, Alexandre Pio Araújo, Maria do Socorro Bezerra de Oliveira, Maria Lorraine Fonseca Vivas, Marcelo Menezes, Bruna Rafaela da Silva Pereira, Antônio Vander |
author_role |
author |
author2 |
Daher, Rogério Figueiredo Gravina, Geraldo de Amaral Viana, Alexandre Pio Araújo, Maria do Socorro Bezerra de Oliveira, Maria Lorraine Fonseca Vivas, Marcelo Menezes, Bruna Rafaela da Silva Pereira, Antônio Vander |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Rodrigues, Erina Vitório Daher, Rogério Figueiredo Gravina, Geraldo de Amaral Viana, Alexandre Pio Araújo, Maria do Socorro Bezerra de Oliveira, Maria Lorraine Fonseca Vivas, Marcelo Menezes, Bruna Rafaela da Silva Pereira, Antônio Vander |
dc.subject.por.fl_str_mv |
Pennisetum purpureum S. Coefficient of determination Main components Dry matter yield Pennisetum purpureum S. Coeficiente de determinação Produtividade de matéria seca |
topic |
Pennisetum purpureum S. Coefficient of determination Main components Dry matter yield Pennisetum purpureum S. Coeficiente de determinação Produtividade de matéria seca |
description |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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/42075 10.14393/BJ-v36n1a2020-42075 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/42075 |
identifier_str_mv |
10.14393/BJ-v36n1a2020-42075 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/42075/27506 |
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.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 36 No. 1 (2020): Jan./Feb.; 30-41 Bioscience Journal ; v. 36 n. 1 (2020): Jan./Feb.; 30-41 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_ |
1797069079723376640 |