Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids
Abstract 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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Embrapa Secretaria de Pesquisa e Desenvolvimento
2022
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oai:scielo:S0100-204X20220001029142022-11-17Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybridsOliveira,Maria Elisângela Ferreira deAndrade Júnior,Valter Carvalho deBrito,Orlando GonçalvesAzevedo,Sebastião MárcioSilva,Jeferson Carlos de OliveiraSilva,Eduardo Alves daAzevedo,Alcinei Mistico Cucurbita pepo biometric plant breeding Abstract 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%.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.57 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2022000102914en10.1590/s1678-3921.pab2022.v57.03016 |
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Oliveira,Maria Elisângela Ferreira de Andrade Júnior,Valter Carvalho de Brito,Orlando Gonçalves Azevedo,Sebastião Márcio Silva,Jeferson Carlos de Oliveira Silva,Eduardo Alves da Azevedo,Alcinei Mistico |
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Oliveira,Maria Elisângela Ferreira de Andrade Júnior,Valter Carvalho de 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 Andrade Júnior,Valter Carvalho de 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 |
Abstract 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 |
Embrapa Secretaria de Pesquisa e Desenvolvimento |
publishDate |
2022 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2022000102914 |
work_keys_str_mv |
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_version_ |
1756471868865380352 |