2016
DOI: 10.1186/s12863-016-0397-y
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Detection of quantitative trait loci for maternal traits using high-density genotypes of Blonde d’Aquitaine beef cattle

Abstract: BackgroundThe genetic determinism of the calving and suckling performance of beef cows is little known whereas these maternal traits are of major economic importance in beef cattle production systems. This paper aims to identify QTL regions and candidate genes that affect maternal performance traits in the Blonde d’Aquitaine breed. Three calving performance traits were studied: the maternal effect on calving score from field data, the calving score and pelvic opening recorded in station for primiparous cows. T… Show more

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Cited by 36 publications
(26 citation statements)
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“…There are known QTLs located in the genomic regions identified in this study, including associations with calving performance (e.g., calving ease, calf size) [84]. In agreement with our findings, previous studies in Angus and Hereford cattle detected the MAPK signaling pathway as having a pleiotropic effect on birth weight, calving ease (direct and maternal), and calving performance traits [85][86][87][88]. Likewise, QTLs linked to gestation length, the interval to first estrus after calving [89], conception rate [90], and heifer pregnancy [91] overlapped with various genomic regions identified for AMH and AFP.…”
Section: Discussionsupporting
confidence: 92%
“…There are known QTLs located in the genomic regions identified in this study, including associations with calving performance (e.g., calving ease, calf size) [84]. In agreement with our findings, previous studies in Angus and Hereford cattle detected the MAPK signaling pathway as having a pleiotropic effect on birth weight, calving ease (direct and maternal), and calving performance traits [85][86][87][88]. Likewise, QTLs linked to gestation length, the interval to first estrus after calving [89], conception rate [90], and heifer pregnancy [91] overlapped with various genomic regions identified for AMH and AFP.…”
Section: Discussionsupporting
confidence: 92%
“…As proposed by Kass and Raftery [26], the logBF was computed as twice the natural logarithm of the BF and the threshold logBF ≥ 6 was used for defining evidence for a QTL. As proposed by Michenet et al [27], a credibility interval was built around the peak SNP integrating to the QTL region the SNPs with logBF ≥ 3 that were located close to the peak SNP using a sliding window of 1 Mb on both sides of the peak SNP. Following Michenet et al [27], we considered that a peak SNP with 6 ≤ logBF < 8 corresponded only to a putative QTL unless the QTL region explained at least 1% of the genetic variance; in that case, the QTL was considered as having a strong effect on the trait of interest.…”
Section: Methods Phenotypesmentioning
confidence: 99%
“…In order to define QTL with the BayesCπ approaches, we considered two categories to classify the strength of the evidence in favour of a QTL 33 : strong evidence for 8 ≤ logBF < 10 and very strong evidence for logBF ≥ 10. Because the BF is not a statistic test, true confidence intervals cannot be derived, but credibility intervals can be built as defined in Michenet et al 34 . Credibility intervals were determined using the threshold logBF ≥ 8 for defining a peak SNP showing evidence for a QTL in either a BCπ-chip or a BCπ-seq analysis.…”
Section: Methodsmentioning
confidence: 99%