Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids
The objective of this work was to estimate the optimal number of harvests for the reliable selection of zucchini (Cucurbita pepo) hybrids through the repeatability coefficient. The experimental design was randomized complete blocks with 33 treatments (31 experimental hybrids and 2 commercial ones) and four replicates, with six plants per plot. Fifteen harvests were carried out. Seven morphoagronomic fruit characteristics were evaluated, and repeatability coefficients were estimated using four statistical methods. The repeatability coefficients ranged from low to moderate, regardless of the studied characteristic. For a high-precision selection (R2≥90%), a high number of evaluated harvests was required, especially for traits related to fruit yield, as follows: 30 to 54 harvests for selection based on total yield; and 43 to 83 harvests for commercial yield, which varied according to the statistical estimation method. The principal component analysis based on the covariance matrix required the least number of harvests for a satisfactory selection precision. Fifteen harvests are sufficient for a satisfactory selection of all evaluated characteristics, with a precision above 70%.
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Pesquisa Agropecuaria Brasileira
2022
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rev-pab-br-article-271632023-01-23T13:40:21Z Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids Coeficiente de repetibilidade para a determinação do número ótimo de colheitas para seleção de abobrinha-italiana Oliveira, Maria Elisângela Ferreira de Júnior, Valter Carvalho de Andrade Brito, Orlando Gonçalves Azevedo, Sebastião Márcio Silva, Jeferson Carlos de Oliveira Silva, Eduardo Alves da Azevedo, Alcinei Mistico Cucurbita pepo; biometric; plant breeding Cucurbita pepo; biometria; melhoramento genético The objective of this work was to estimate the optimal number of harvests for the reliable selection of zucchini (Cucurbita pepo) hybrids through the repeatability coefficient. The experimental design was randomized complete blocks with 33 treatments (31 experimental hybrids and 2 commercial ones) and four replicates, with six plants per plot. Fifteen harvests were carried out. Seven morphoagronomic fruit characteristics were evaluated, and repeatability coefficients were estimated using four statistical methods. The repeatability coefficients ranged from low to moderate, regardless of the studied characteristic. For a high-precision selection (R2≥90%), a high number of evaluated harvests was required, especially for traits related to fruit yield, as follows: 30 to 54 harvests for selection based on total yield; and 43 to 83 harvests for commercial yield, which varied according to the statistical estimation method. The principal component analysis based on the covariance matrix required the least number of harvests for a satisfactory selection precision. Fifteen harvests are sufficient for a satisfactory selection of all evaluated characteristics, with a precision above 70%. O objetivo deste trabalho foi estimar o número ótimo de colheitas para a seleção confiável de híbridos de abobrinha-italiana (Cucurbita pepo) por meio do coeficiente de repetibilidade. O delineamento experimental foi em blocos ao acaso, com 33 tratamentos (31 híbridos experimentais e 2 comerciais) e quatro repetições, com seis plantas por parcela. Realizaram-se 15 colheitas. Sete características morfoagronômicas dos frutos foram avaliadas, e os coeficientes de repetibilidade foram estimados por meio de quatro métodos estatísticos. Os coeficientes de repetibilidade variaram de baixos a moderados, independentemente da característica estudada. Para uma seleção de alta precisão (R2≥90%), um elevado número de colheitas avaliadas foi necessário, especialmente para as características relacionadas à produtividade de frutos, conforme a seguir: 30 a 54 colheitas para a seleção baseada na produtividade total; e 43 a 83 colheitas para a produtividade comercial, que variou conforme o método estatístico de estimação. A análise de componentes principais baseada na matriz de covariância demandou a menor quantidade de colheitas para uma precisão satisfatória da seleção. São suficientes 15 colheitas para a seleção satisfatória de todas as características avaliadas, com precisão superior a 70%. Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes, Code 001) Conselho Nacional de Desenvolvimento Científico e Tecnológico Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig) and Hortec Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes, Código 001) Conselho Nacional de Desenvolvimento Científico e Tecnológico Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig) e Hortec 2022-11-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://seer.sct.embrapa.br/index.php/pab/article/view/27163 Pesquisa Agropecuaria Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e03016 Pesquisa Agropecuária Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e03016 1678-3921 0100-104x eng https://seer.sct.embrapa.br/index.php/pab/article/view/27163/15108 Direitos autorais 2022 Pesquisa Agropecuária Brasileira |
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Oliveira, Maria Elisângela Ferreira de Júnior, Valter Carvalho de Andrade Brito, Orlando Gonçalves Azevedo, Sebastião Márcio Silva, Jeferson Carlos de Oliveira Silva, Eduardo Alves da Azevedo, Alcinei Mistico |
spellingShingle |
Oliveira, Maria Elisângela Ferreira de Júnior, Valter Carvalho de Andrade Brito, Orlando Gonçalves Azevedo, Sebastião Márcio Silva, Jeferson Carlos de Oliveira Silva, Eduardo Alves da Azevedo, Alcinei Mistico Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
author_facet |
Oliveira, Maria Elisângela Ferreira de Júnior, Valter Carvalho de Andrade Brito, Orlando Gonçalves Azevedo, Sebastião Márcio Silva, Jeferson Carlos de Oliveira Silva, Eduardo Alves da Azevedo, Alcinei Mistico |
author_sort |
Oliveira, Maria Elisângela Ferreira de |
title |
Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
title_short |
Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
title_full |
Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
title_fullStr |
Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
title_full_unstemmed |
Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
title_sort |
repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids |
description |
The objective of this work was to estimate the optimal number of harvests for the reliable selection of zucchini (Cucurbita pepo) hybrids through the repeatability coefficient. The experimental design was randomized complete blocks with 33 treatments (31 experimental hybrids and 2 commercial ones) and four replicates, with six plants per plot. Fifteen harvests were carried out. Seven morphoagronomic fruit characteristics were evaluated, and repeatability coefficients were estimated using four statistical methods. The repeatability coefficients ranged from low to moderate, regardless of the studied characteristic. For a high-precision selection (R2≥90%), a high number of evaluated harvests was required, especially for traits related to fruit yield, as follows: 30 to 54 harvests for selection based on total yield; and 43 to 83 harvests for commercial yield, which varied according to the statistical estimation method. The principal component analysis based on the covariance matrix required the least number of harvests for a satisfactory selection precision. Fifteen harvests are sufficient for a satisfactory selection of all evaluated characteristics, with a precision above 70%. |
publisher |
Pesquisa Agropecuaria Brasileira |
publishDate |
2022 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/27163 |
work_keys_str_mv |
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