Title:	Modeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment.
Authors:	LARA, L. A. DE C. SANTOS, M. F. JANK, L. CHIARI, L. GARCIA, A. A. F.
Affiliation:	LETÍCIA A. DE C. LARA, ESALQ/USP; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; LUCIMARA CHIARI, CNPGC; ANTONIO AUGUSTO F. GARCIA, ESALQ/USP.
Date Issued:	2016
Citation:	In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 5., Madison, Wisconsin, USA, 2016. Proceedings... Madison, Wisconsin, USA: ICQG, 2016.
Description:	Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant population of P. maximum by recurrent selection increases the probability of releasing superior cultivars. In this work, we aimed to model variance-covariance matrices for genetic (G) and residual (R) effects in a spaced plant experiment to obtain adjusted means that will be used in a recurrent genomic selection program.
NAL Thesaurus:	forage plant breeding
Keywords:	Mixed models Phenotypic data
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPGC)