Repeatability based on growth behavior ofjabuticabeira tree genotypes

Juliana Cristina Radaelli,Sergio Miguel Mazaro,Alexandre Hack Porto,Idemir Citadin,Américo Wagner Júnior,Lucas Da Silva Domingues

doi:10.1590/0100-29452018462

Juliana Cristina Radaelli, Sergio Miguel Mazaro + Show 4 more

Open Access

https://doi.org/10.1590/0100-29452018462

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Abstract

Abstract The aim of this study was to estimate the coefficients of repeatability and determination and the minimum number of evaluations able to provide certainty levels of prediction of the real value of these individuals through stem length and the length of primary shoots in 29 jabuticabeira genotypes. The stem length and the primary shoots were evaluated between July 2012 and June 2015, representing three growth cycles. The determination of the repeatability coefficients, determination coefficients and the number of measurements required to predict the genotypes true value were performed by multivariate principal component methods based on the variance and phenotype covariance matrix. The repeatability and determination coefficients obtained are relevant for the growth traits of jabuticabeira tree genotypes evaluated. With the three evaluations carried out, it is possible to select the jabuticabeira tree genotypes with 95% accuracy for a variable stem length and with 85% for the variable shoots length, but for the same level of significance would still require 5 more evaluations.

Highlights

Resumo - O objetivo deste trabalho foi estimar os coeficientes de repetibilidade e de determinação e o número mínimo de avaliações capaz de proporcionar níveis de certeza da predição do valor real destes indivíduos, através do comprimento do caule e do comprimento das brotações primárias, em 29 genótipos de jabuticabeiras
The jabuticabeira trees (Plinia spp.) have their origin in the Center-South of Brazil and occur predominantly in the Atlantic Forest Biome, they can be found in Paraguay and Argentina
The determination of the repeatability coefficients (r), determination coefficients (R2) and the number of measurements required (η0) to predict the true value of the genotypes with pre-established determination coefficients of 80, 85, 90, 95 and 99% was realized based on the methodology described by Cruz et al (2004), where multivariate method of principal components based on the matrix of variances and phenotypic covariance were used in the analysis

Summary

Introduction

The objective of this study was to estimate the coefficients of repeatability and to determine the minimum number of evaluations capable of providing certainty levels of the prediction of the real value of these individuals through stem length and length of the primary shoots in 29 genotypes of jabuticabeira trees.

Objectives

Results

Conclusion