02161naa a2200337 a 450000100080000000500110000800800410001902400410006010000250010124501600012626000090028652010810029565000200137665000190139665000240141565000170143965000120145665000230146865000240149165000240151565000250153965000350156465000130159965300270161265300270163965300270166665300180169365300180171170000190172977300750174815304402023-08-29       2004    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.4141/P02-1192DOI1 aARAÚJO, M. R. A. de  aParent-offsprint regression in meadow bromegrass (Bromus riparius Rehm.)bevaluation of two methodologies on heritability estimates.h[electronic resource]  c2004  aTo determine the nature and extent of inflation of estimates of heritabilities by parent-offspring regression methods, 40 clones of meadow bromegrass (Bromus riparius Rehm.) and their half-sib progenies were studied in completely randomized block design trials, with six replications in Saskatoon and Melfort, Canada. Clones and progenies were evaluated for dry matter yield, seed yield, plant height, fertility index and harvest index. The results of the analysis showed a consistent inflation of heritability estimates derived from the simple parent-offspring regression, when compared to the regression estimate by variance-covariance analysis. The two methods successfully removed the environmental covariances from the estimates. However, in the simple regression analysis, error covariance was not removed from the numerator; therefore, heritabilities estimated by this methodology Were higher than those estimated by the variance-covariance method. It was concluded that estimates derived from variance-covariance analysis provide less biased estimates of heritability.  aBromus riparius  aForage grasses  aGenetic correlation  aHeritability  aMeadows  aMolecular genetics  aRegression analysis  aGenética Molecular  aGramínea Forrageira  aMelhoramento Genético Vegetal  aPastagem  aAnálise de regressão  aCorrelação genética  aGenética quantitativa  aHerdabilidade  aPoa protensis1 aCOULMAN, B. E.  tCanadian Journal of Plant Sciencegv. 84, n. 1, p. 125-127, Jan. 2004.