Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/58810
Título: Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids
Título(s) alternativo(s): Coeficiente de repetibilidade para a determinação do número ótimo de colheitas para seleção de abobrinha-italiana
Palavras-chave: Cucurbita pepo
Biometric
Plant breeding
Zucchini
Courgette
Abobrinha-italiana
Biometria
Melhoramento genético
Data do documento: 21-Nov-2022
Editor: Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Citação: OLIVEIRA, M. E. F. de et al. Repeatability coefficient for the determination of the optimal number of harvests for the selection of zucchini hybrids. Pesquisa Agropecuária Brasileira, Brasília, v. 57, p. 1-9, 2022. DOI: 10.1590/S1678-3921.pab2022.v57.03016.
Resumo: 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%.
URI: http://repositorio.ufla.br/jspui/handle/1/58810
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