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dc.contributor.authorTEIXEIRA, D. H. L.
dc.contributor.authorGONÇALVES, F. M. A.
dc.contributor.authorNUNES, J. A. R.
dc.contributor.authorSOUZA SOBRINHO, F. de
dc.contributor.authorBENITES, F. R. G.
dc.contributor.authorDIAS, K. O. das G.
dc.identifier.citationActa Scientiarum. Agronomy, v. 42, e42444, 2020.
dc.descriptionThe breeding program of Urochloa ruziziensis evaluates many genotypes in initial phases. Evaluations through grades might make the selection less costly. The aim of this study was to verify the efficiency of visual selection for green biomass yield in relation to different selection strategies, such as mass selection by phenotypic mean, BLUP (Best Linear Unbiased Prediction) and at random. For this purpose, 2,309 regular genotypes were evaluated in an augmented block design in two cuts. The evaluators gave grades for plant vigor, and later, the plots were measured for green biomass yield. The coincidences of the selected genotypes were estimated by different selection strategies. Then, 254 clones of the genotypes selected in different strategies were evaluated in a clonal test in a triple lattice design in four cuts. The statistical analyses were performed in SAS using the Mixed procedure. The regular genotype level and clone-mean basis heritabilities were 31.16 and 62.91%, respectively, for green mass yield. The expected selection gains were 21.09% (visual), 25.43% (phenotypic mean), and 27.5% (BLUP). Moreover, the realized heritabilities for these strategies were 15.58, 11.87, and 15.86%, respectively, which might be associated with genotype by environment interaction. Therefore, the visual selection could be a useful strategy in initial phases of a U. ruziziensis breeding program because the efficiency was moderate to high in relation to phenotypic mean and BLUP.
dc.subjectMass selection
dc.titleVisual selection of Urochloa ruziziensis genotypes for green biomass yield.
dc.typeArtigo de periódico
dc.subject.thesagroSeleção Massal
dc.subject.thesagroCapim Urochloa
dc.subject.thesagroGramínea Forrageira
dc.contributor.institutionDAVI HENRIQUE LIMA TEIXEIRA, Universidade Federal Rural da Amazônia; FLÁVIA MARIA AVELAR GONÇALVE, Universidade Federal de Lavras; JOSÉ AIRTON RODRIGUES NUNES, Universidade Federal de Lavras; FAUSTO DE SOUZA SOBRINHO, CNPGL; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL; KAIO OLÍMPIO DAS GRAÇAS DIAS, Escola Superior de Agricultura Luiz de Queiroz.
Appears in Collections:Artigo em periódico indexado (CNPGL)

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