Publications by authors named "M Boussaha"

Article Synopsis
  • Dairy cattle breeds face recurrent recessive genetic defects that are often undetected due to conventional observation techniques missing various conditions, particularly those without clear symptoms.
  • A new data mining framework has been developed to identify these hidden recessive defects in livestock by analyzing genomic data and comparing homozygote numbers in cattle with diverse life histories.
  • This research uncovered 33 new genetic loci linked to increased juvenile mortality, offering insights into the genetic causes of inbreeding depression, which can enhance animal welfare and reduce industry losses.
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Structural variants play an important role in evolutionary processes. Besides, they constitute a large source of inter individual genetic variation that might represent a major factor in the aetiology of complex, multifactorial traits. Their importance in adaptation is becoming increasingly evident in literature.

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Background: Linear models that are commonly used to predict breeding values in livestock species consider paternal influence solely as a genetic effect. However, emerging evidence in several species suggests the potential effect of non-genetic semen-mediated paternal effects on offspring phenotype. This study contributes to such research by analyzing the extent of non-genetic paternal effects on the performance of Holstein, Montbéliarde, and Normande dairy cows.

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Background: Nine male and eight female calves born to a Normande artificial insemination bull named "Ly" were referred to the French National Observatory of Bovine Abnormalities for multiple fractures, shortened gestation, and stillbirth or perinatal mortality.

Results: Using Illumina BovineSNP50 array genotypes from affected calves and 84 half-sib controls, the associated locus was mapped to a 6.5-Mb interval on chromosome 19, assuming autosomal inheritance with germline mosaicism.

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The performance of an adult dairy cow may be influenced by events that occur before her birth. The present study investigated the potential effects of 2 prenatal groups of factors, assisted reproductive technologies and maternal characteristics (e.g.

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