Coppa M, Chassaing C, Ferlay A, Agabriel C, Laurent C, Borreani G, Barcarolo R, Baars T, Kusche D, Harstad O M, Verbič J, Golecký J, Delavaud C, Chilliard Y, Martin B
Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, Italy.
Clermont Université, VetAgroSup, UMR 1213 Herbivores, BP 10448, F-63000 Clermont-Ferrand, France; INRA, UMR 1213 Herbivores, F-63122 Saint-Genès-Champanelle, France.
J Dairy Sci. 2015 Mar;98(3):1539-51. doi: 10.3168/jds.2014-8794. Epub 2014 Dec 18.
The aims of this work were to elucidate the potential of using milk fatty acid (FA) concentration to predict cow diet composition and altitude of bulk milk collected in 10 different European countries and to authenticate cow-feeding systems and altitude of the production area using a data set of 1,248 bulk cow milk samples and associated farm records. The predictions based on FA for cow diet composition were excellent for the proportions of fresh herbage [coefficient of determination (R2)=0.81], good for hay, total herbage-derived forages, and total preserved forages (R2>0.73), intermediate for corn silage and grass silage (R2>0.62), and poor for concentrates (R2<0.51) in the cow diet. Milk samples were assigned to groups according to feeding system, level of concentrate supplementation, and altitude origin. Milk FA composition successfully authenticated cow-feeding systems dominated by a main forage (>93% of samples correctly classified), but the presence of mixed diets reduced the discrimination. Altitude prediction reliability was intermediate (R2<0.62). Milk FA composition was not able to authenticate concentrate supplementation level in the diet (<58% of samples correctly classified). Similarly, the altitude origin was not successfully authenticated by milk FA composition (<76% of samples correctly classified). The potential of milk FA composition to authenticate cow feeding was confirmed using a data set representative of the diversity of European production conditions.
这项工作的目的是阐明利用牛奶脂肪酸(FA)浓度预测在10个不同欧洲国家采集的散装牛奶的奶牛饮食组成和产地海拔的潜力,并使用1248份散装牛奶样本及相关农场记录的数据集来验证奶牛饲养系统和产地海拔。基于脂肪酸对奶牛饮食组成的预测,对于新鲜牧草的比例而言非常出色(决定系数R² = 0.81),对于干草、源自牧草的总饲料以及总青贮饲料而言良好(R² > 0.73),对于玉米青贮和青草青贮而言中等(R² > 0.62),而对于奶牛日粮中的精饲料而言较差(R² < 0.51)。牛奶样本根据饲养系统、精饲料补充水平和产地海拔进行分组。牛奶脂肪酸组成成功验证了以主要草料为主的奶牛饲养系统(> 93%的样本分类正确),但混合日粮的存在降低了区分度。海拔预测可靠性中等(R² < 0.62)。牛奶脂肪酸组成无法验证日粮中的精饲料补充水平(< 58%的样本分类正确)。同样,牛奶脂肪酸组成也未能成功验证产地海拔(< 76%的样本分类正确)。利用代表欧洲生产条件多样性的数据集证实了牛奶脂肪酸组成验证奶牛饲养情况的潜力。