02162naa a2200289 a 450000100080000000500110000800800410001902400490006010000200010924501240012926000090025352012570026265000200151965000150153965000110155465000140156565000340157965000230161365300210163665300240165770000180168170000190169970000190171870000250173770000180176277300920178021347962021-09-28 2021 bl uuuu u00u1 u #d7 ahttps://doi.org/10.1590/1678-4162-123412DOI1 aCARVALHO, N. S. aGenetic parameters and genetic trends of conformation and management traits in Dairy Gir cattle.h[electronic resource] c2021 aThe objective of this study was to estimate genetic parameters and genetic trends of different conformation and management traits regularly measured within the context of the National Dairy Gir Breeding Program (PNMGL). The estimation of genetic and residual variances for each trait was performed using average information restricted maximum likelihood (AI-REML) procedure in AIREMLF90 program software. The population was divided into three subpopulations constituted by measured females (with phenotype records), all females, and males. Linear regressions were applied for each trait, considering two periods of birth (1st period: 1938-1996; 2nd period: 1997-2012). The estimated heritability of conformation and management traits varied from 0.01 to 0.53, denoting a perspective of genetic improvement through selection and corrective matings for purebred Dairy Gir populations. The average genetic changes in conformation and management traits were, in general, variable and inexpressive, showing that the selection of Dairy Gir may have had been directed essentially to increase milk yield. The analysis of the two periods of birth indicated that some linear traits present progress (although inexpressive) in the 2nd period (more recent period). aProgeny testing aBos Taurus aBovino aGado Zebu aMelhoramento Genético Animal aTeste de Progênie aGenetic progress aProgresso genético1 aDALTRO, D. S.1 aMACHADO, J. D.1 aCAMARGO, E. V.1 aPANETTO, J. C. do C.1 aCOBUCI, J. A. tArquivo Brasileiro de Medicina Veterinária e Zootecniagv. 73, n. 4, p. 938-948, 2021.