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Although differences in DRT and activity between populations of cows that developed periparturient diseases and healthy cows were observed, further experiments are necessary to determine how DRT and activity data may be used to precociously diagnose individuals that will develop such periparturient diseases.
Additional work is needed to confirm its efficacy in selected populations of cows, for example in repeat-breeder cows [ 13].
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In addition to the bi-variate analyses, we performed genome-wide association analyses (GWAS) separately within each population of cows (BB and TC) and for each of the five traits using Qxpak5 software [ 24].
The results of clinical observations were later confirmed in a larger population of cows about 200 animals in several problematic farms (data not shown).Immune modulation by the use lysozyme dimer during calving, was shown to be very effective for dairy cows in problematic herds especially, with a high incidence of RP, where other methods of preventions were not effective.
Under the assumption that we have a population of cows from the same breed, and no phenotype misclassification our power analysis demonstrated that this study is sufficiently powered to detect genome-wide significant variants that contribute moderate to high levels of phenotypic variance.
A larger herd size could pose a risk because of an increased chance for C. burnetii introduction or the presence of a larger susceptible population of cows; however, some farm-based risk factors associated with a large herd that were not assessed through the questionnaire might also have caused this effect (19, 33, 34 ).
Total CH4 emissions for the US and Canada show a slight but steady increase over recent decades despite decreasing populations of dairy cows and other cattle.
Genomic selection has led to opportunities for developing new breeding values that rely on phenotypes in dedicated reference populations of genotyped cows.
Monthly activity patterns of grazing cows were associated with fly populations on cows.
In this study, the importance of the design of a reference population consisting of cows was shown and optimal designs of the reference population for genomic prediction were suggested.
Ding et al. [ 4] investigated the accuracy of genomic prediction using a reference population consisting of cows, and showed that genomic selection using cows is feasible.
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