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A new method to estimate genetic gain in annual crops

DOI: 10.1590/S1415-47571998000400024

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Abstract:

the genetic gain obtained by breeding programs to improve quantitative traits may be estimated by using data from regional trials. a new statistical method for this estimate is proposed and includes four steps: a) joint analysis of regional trial data using a generalized linear model to obtain adjusted genotype means and covariance matrix of these means for the whole studied period; b) calculation of the arithmetic mean of the adjusted genotype means, exclusively for the group of genotypes evaluated each year; c) direct year comparison of the arithmetic means calculated, and d) estimation of mean genetic gain by regression. using the generalized least squares method, a weighted estimate of mean genetic gain during the period is calculated. this method permits a better cancellation of genotype x year and genotype x trial/year interactions, thus resulting in more precise estimates. this method can be applied to unbalanced data, allowing the estimation of genetic gain in series of multilocational trials.

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