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首页> 外文期刊>Advances in Animal Biosciences >Selection for milk fat and milk protein composition.
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Selection for milk fat and milk protein composition.

机译:选择乳脂和乳蛋白成分。

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摘要

The suitability of milk for specific dairy products might be improved by changing milk fat or milk protein composition. In the ROBUSTMILK project, we showed that milk fat composition is determined by genetic factors. In addition, recent studies indicate that milk protein composition is strongly affected by genetic factors. This suggests that there are opportunities to change milk composition by means of selective breeding. Traditional selection is based on large-scale phenotyping and not all analytical methods are suited for this purpose. The ROBUSTMILK project team has shown that several fatty acids can be predicted on the basis of IR spectra. Accuracy of predicting individual milk proteins based on IR spectra is low. In addition to phenotypic records, selection might be based on genotypic information. DGAT1 and SCD1 genotypes are strongly associated with fat composition. beta-Lactoglobulin, beta-casein and kappa-casein protein variants are strongly associated with protein composition. We conclude that tools are now available for changing detailed milk fat or milk protein composition by means of selective breeding
机译:通过更改乳脂或乳蛋白成分,可以提高牛奶对特定乳制品的适用性。在ROBUSTMILK项目中,我们表明牛奶脂肪成分是由遗传因素决定的。另外,最近的研究表明,乳蛋白的组成受到遗传因素的强烈影响。这表明存在通过选择性育种改变牛奶成分的机会。传统的选择基于大规模的表型分析,并非所有的分析方法都适用于此目的。 ROBUSTMILK项目团队已经表明,可以根据红外光谱预测几种脂肪酸。基于IR光谱预测单个乳蛋白的准确性较低。除表型记录外,选择可能还基于基因型信息。 DGAT1和SCD1基因型与脂肪组成密切相关。 β-乳球蛋白,β-酪蛋白和κ-酪蛋白蛋白变体与蛋白组成密切相关。我们得出结论,现在可以使用工具通过选择性育种来更改详细的乳脂或乳蛋白成分

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