13 research outputs found

    Short communication: Genetic correlations between methane and milk production, conformation, and functional traits

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    Livestock produce CH 4 , therefore contributing to the global warming effect. One of the currently investigated solutions to reduce CH 4 production is selective breeding. The goal of this study was to estimate the genetic correlations between CH 4 and milk production, conformation, and functional traits used in the selection index for Polish-Holstein cows. In total, 34,429 daily CH 4 production observations collected from 483 cows were available, out of which 281 cows were genotyped. The CH 4 was measured using a so-called sniffer device installed in an automated milking system. Breeding values for CH 4 were estimated with the use of single-step genomic BLUP, and breeding values for remaining traits were obtained from the Polish national genomic evaluation. Genetic correlations between CH 4 production and remaining traits were estimated using bivariate analyses. The estimated genetic correlations were in general low. The highest values were estimated for fat yield (0.21), milk yield (0.15), chest width (0.15), size (0.15), dairy strength (0.11), and somatic cell count (0.11). These estimates, as opposed to estimates for the remaining traits, were significantly different from zero. </p

    An international investigation into O red blood cell unit administration in hospitals: The GRoup O Utilization Patterns (GROUP) study

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    Background: Transfusion of group O blood to non‐O recipients, or transfusion of D– blood to D+ recipients, can result in shortages of group O or D– blood, respectively. This study investigated RBC utilization patterns at hospitals around the world and explored the context and policies that guide ABO blood group and D type selection practices. Study design and methods: This was a retrospective study on transfusion data from the 2013 calendar year. This study included a survey component that asked about hospital RBC selection and transfusion practices and a data collection component where participants submitted information on RBC unit disposition including blood group and D type of unit and recipient. Units administered to recipients of unknown ABO or D group were excluded. Results: Thirty‐eight hospitals in 11 countries responded to the survey, 30 of which provided specific RBC unit disposition data. Overall, 11.1% (21,235/191,397) of group O units were transfused to non‐O recipients; 22.6% (8777/38,911) of group O D– RBC units were transfused to O D+ recipients, and 43.2% (16,800/38,911) of group O D– RBC units were transfused to recipients that were not group O D–. Disposition of units and hospital transfusion policy varied within and across hospitals of different sizes, with transfusion of group O D– units to non‐group O D– patients ranging from 0% to 33%. Conclusion: A significant proportion of group O and D– RBC units were transfused to compatible, nonidentical recipients, although the frequency of this practice varied across sites
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