Repeatability and the optimal number of measurements for screening of soybean cultivars under water defi cit

Resumo

This study aimed at determining the optimal number of replications and measurements necessary for the screening of soybean
cultivars subjected to three conditions of water availability during the initial stage of development. Two experiments were carried out in a
greenhouse. A randomized block design was used, in a factorial scheme with two factors (cultivar and water availability), six replications,
ten cultivars and three conditions of water availability (control condition, in which the sand was moistened with water; stress control in the
water potential of -0.2 MPa and stress condition in the water potential of -0.4 MPa). At 20 days after cultivation, measurements were taken,
subsequently estimating the repeatability coeffi cient, of the number of necessary measurements and of the determination coeffi cient. The
repeatability coeffi cient was estimated by distinct statistical procedures, such as method of analysis of variance, principal components with basis
on the matrices of phenotypic variances and covariances; principal components with basis on the matrices of correlation and structural analysis.
For the determination of the number of replications, the repeatability coeffi cients ranged from low to high in experiment I, except for the root
variables, which presented high values in both experiments. In experiment II, in turn, the magnitudes of the determination coeffi cients were
above 90%. For plant height, number of leaves, root length and dry matter of the aerial part, only two replications would be necessary to obtain
80% confi dence. Regarding the number of measurements per parcel, only one plant could be evaluated in each parcel, with 85% confi dence
for both experiments. Only two replications and one measurement per parcel are enough for high estimates of repeatability. This way, adequate
effi ciency is obtained in the selection of superior materials for tolerance to water defi cit, during the initial stages of soybean development.