Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/205636
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dc.contributor.authorBRESEGHELLO, F.pt_BR
dc.contributor.authorMORAIS, O. P. dept_BR
dc.contributor.authorRANGEL, P. H. N.pt_BR
dc.date.accessioned2015-04-25T05:06:03Z-
dc.date.available2015-04-25T05:06:03Z-
dc.date.created1999-03-17pt_BR
dc.date.issued1998pt_BR
dc.identifier.citationGenetics and Molecular Biology, v. 21, n. 4, p. 551-555, 1998.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/205636pt_BR
dc.descriptionThe 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleA new method to estimate genetic gain in annual crops.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2015-04-25T05:06:03Zpt_BR
dc.subject.thesagroMelhoramento genético vegetalpt_BR
dc.subject.thesagroGenéticapt_BR
riaa.ainfo.id205636pt_BR
riaa.ainfo.lastupdate2015-04-24pt_BR
dc.identifier.doihttps://doi.org/10.1590/S1415-47571998000400024eng
dc.contributor.institutionFLAVIO BRESEGHELLO, CNPAF; ORLANDO PEIXOTO DE MORAIS, CNPAF; PAULO HIDEO NAKANO RANGEL, CNPAF.pt_BR
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