Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/18781
Tipo: Artigo
Título: The number of measurements needed to obtain high reliability for traits related to enzymatic activities and photosynthetic compounds in soybean plants infected with Phakopsora pachyrhizi
Autor(es): Oliveira, Tássia Boeno de
Peixoto, Leonardo de Azevedo
Teodoro, Paulo Eduardo
Alvarenga, Amauri Alves de
Bhering, Leonardo Lopes
Campo, Clara Beatriz Hoffmann
Abstract: Asian rust affects the physiology of soybean plants and causes losses in yield. Repeatability coefficients may help breeders to know how many measurements are needed to obtain a suitable reliability for a target trait. Therefore, the objectives of this study were to determine the repeatability coefficients of 14 traits in soybean plants inoculated with Phakopsora pachyrhizi and to establish the minimum number of measurements needed to predict the breeding value with high accuracy. Experiments were performed in a 3x2 factorial arrange- ment with three treatments and two inoculations in a random block design. Repeatability coefficients, coefficients of determination and number of measurements needed to obtain a certain reliability were estimated using ANOVA, principal component analysis based on the covariance matrix and the correlation matrix, structural analysis and mixed model. It was observed that the principal component analysis based on the covariance matrix out-per- formed other methods for almost all traits. Significant differences were observed for all traits except internal CO2 concentration for the treatment effects. For the measurement effects, all traits were significantly different. In addition, significant differences were found for all Treatment x Measurement interaction traits except coumestrol, chitinase and chlorophyll content. Six measurements were suitable to obtain a coefficient of determination higher than 0.7 for all traits based on principal component analysis. The information obtained from this research will help breeders and physiologists determine exactly how many measure- ments are needed to evaluate each trait in soybean plants infected by P. pachyrhizi with a desirable reliability.
Palavras-chave: Physiology
Effects
Plants
Editor: Plos One
Tipo de Acesso: Open Access
URI: https://doi.org/10.1371/journal.pone.0192189
http://www.locus.ufv.br/handle/123456789/18781
Data do documento: 19-Jan-2018
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