dc.creatorTeodoro, P.E.
dc.creatorBhering, L.L.
dc.creatorCosta, R.D.
dc.creatorRocha, R.B.
dc.creatorLaviola, B.G.
dc.date2017-11-08T09:25:20Z
dc.date2017-11-08T09:25:20Z
dc.date2016-08-18
dc.date.accessioned2023-09-27T21:59:06Z
dc.date.available2023-09-27T21:59:06Z
dc.identifier16765680
dc.identifierhttp://dx.doi.org/10.4238/gmr.15038824
dc.identifierhttp://www.locus.ufv.br/handle/123456789/12845
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8969037
dc.descriptionThe aim of this study was to estimate genetic parameters via mixed models and simultaneously to select Jatropha progenies grown in three regions of Brazil that meet high adaptability and stability. From a previous phenotypic selection, three progeny tests were installed in 2008 in the municipalities of Planaltina-DF (Midwest), Nova Porteirinha-MG (Southeast), and Pelotas-RS (South). We evaluated 18 families of half-sib in a randomized block design with three replications. Genetic parameters were estimated using restricted maximum likelihood/best linear unbiased prediction. Selection was based on the harmonic mean of the relative performance of genetic values method in three strategies considering: 1) performance in each environment (with interaction effect); 2) performance in each environment (with interaction effect); and 3) simultaneous selection for grain yield, stability and adaptability. Accuracy obtained (91%) reveals excellent experimental quality and consequently safety and credibility in the selection of superior progenies for grain yield. The gain with the selection of the best five progenies was more than 20%, regardless of the selection strategy. Thus, based on the three selection strategies used in this study, the progenies 4, 11, and 3 (selected in all environments and the mean environment and by adaptability and phenotypic stability methods) are the most suitable for growing in the three regions evaluated.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherGenetics and Molecular Research
dc.relation15 (3), gmr.15038824, August 2016
dc.rightsOpen Access
dc.subjectREML/BLUP
dc.subjectGenetic parameters
dc.subjectGenetic gain
dc.titleMixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions
dc.typeArtigo


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