Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/12905
Tipo: Artigo
Título: Minimum number of measurements for evaluating soursop (Annona muricata L.) yield
Autor(es): Sánchez, C.F.B.
Teodoro, P.E.
Londoño, S.
Silva, L.A.
Peixoto, L.A.
Bhering, L.L.
Abstract: Repeatability studies on fruit species are of great importance to identify the minimum number of measurements necessary to accurately select superior genotypes. This study aimed to identify the most efficient method to estimate the repeatability coefficient (r) and predict the minimum number of measurements needed for a more accurate evaluation of soursop (Annona muricata L.) genotypes based on fruit yield. Sixteen measurements of fruit yield from 71 soursop genotypes were carried out between 2000 and 2016. In order to estimate r with the best accuracy, four procedures were used: analysis of variance, principal component analysis based on the correlation matrix, principal component analysis based on the phenotypic variance and covariance matrix, and structural analysis based on the correlation matrix. The minimum number of measurements needed to predict the actual value of individuals was estimated. Principal component analysis using the phenotypic variance and covariance matrix provided the most accurate estimates of both r and the number of measurements required for accurate evaluation of fruit yield in soursop. Our results indicate that selection of soursop genotypes with high fruit yield can be performed based on the third and fourth measurements in the early years and/or based on the eighth and ninth measurements at more advanced stages.
Palavras-chave: Annona muricata
Breeding
Repeatability
Biometrics
Editor: Genetics and Molecular Research
Tipo de Acesso: Open Access
URI: http://dx.doi.org/10.4238/gmr16029594
http://www.locus.ufv.br/handle/123456789/12905
Data do documento: 31-Mai-2017
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