03530naa a2200397 a 450000100080000000500110000800800410001902400450006010000170010524501300012226000090025252023320026165000160259365000100260965000210261965000290264065000120266965000160268165000160269765000200271365000340273365000250276765300390279265300090283170000270284070000230286770000200289070000240291070000240293470000220295870000210298070000260300170000260302770000250305377300540307821718882025-01-22       2024    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1093/jas/skae1822DOI1 aSOUZA, L. L.  aHeritability estimates and genome-wide association study of methane emission traits in Nellore cattle.h[electronic resource]  c2024  aAbstract: The objectives of the present study were to estimate the heritability for daily methane emission (CH4 ) and residual daily methane emission (CH4 res) in Nellore cattle, as well as to perform genome-wide association studies (GWAS) to identify genomic regions and candidate genes influencing the genetic variation of CH4 and CH4 res. Methane emission phenotypes of 743 Nellore animals belonging to 3 breeding programs were evaluated. CH4 was measured using the sulfur hexafluoride (SF6 ) tracer technique (which involves an SF6 permeation tube introduced into the rumen, and an appropriate apparatus on each animal), and CH4 res was obtained as the difference between observed CH4 and CH4 adjusted for dry matter intake. A total of 6,252 genotyped individuals were used for genomic analyses. Data were analyzed with a univariate animal model by the single-step GBLUP method using the average information restricted maximum likelihood (AIREML) algorithm. The effects of single nucleotide polymorphisms (SNPs) were obtained using a single-step GWAS approach. Candidate genes were identified based on genomic windows associated with quantitative trait loci (QTLs) related to the 2 traits. Annotation of QTLs and identification of candidate genes were based on the initial and final coordinates of each genomic window considering the bovine genome ARS-UCD1.2 assembly. Heritability estimates were of moderate to high magnitude, being 0.42 ± 0.09 for CH4 and 0.21 ± 0.09 for CH4 res, indicating that these traits will respond rapidly to genetic selection. GWAS revealed 11 and 15 SNPs that were significantly associated (P &lt 10−6) with genetic variation of CH4 and CH4 res, respectively. QTLs associated with feed efficiency, residual feed intake, body weight, and height overlapped with significant markers for the traits evaluated. Ten candidate genes were present in the regions of significant SNPs; 3 were associated with CH4 and 7 with CH4 res. The identified genes are related to different functions such as modulation of the rumen microbiota, fatty acid production, and lipid metabolism. CH4 and CH4res presented sufficient genetic variation and may respond rapidly to selection. Therefore, these traits can be included in animal breeding programs aimed at reducing enteric methane emissions across generations.  aBeef cattle  agenes  aGenetic variance  aGreenhouse gas emissions  aMethane  aBos Indicus  aGado Nelore  aHereditariedade  aMelhoramento Genético Animal  aVariação Genética  aEmissão de gases de efeito estufa  aQTLs1 aDOMINGUES-CASTAÑO, P.1 aGIANVECCHIO, S. B.1 aSAKAMOTO, L. S.1 aRODRIGUES, G. R. D.1 aSOARES, T. L. da S.1 aBONILHA, S. F. M.1 aSANTOS, J. de O.1 aALBUQUERQUE, L. G. de1 aSILVA, J. A. I. de V.1 aMERCADANTE, M. E. Z.  tJournal of Animal Sciencegv. 102, skae 82, 2024.