1. Prediction of indicators of cow diet composition and authentication of feeding specifications of Protected Designation of Origin cheese using mid-infrared spectroscopy on milk
- Author
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J.V. Gauzentes, B. Martin, Mauro Coppa, S. Hulin, Donato Andueza, A. Pecou, J. Guillemin, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), POLE FROMAGER AOC MASSIF CENTRAL, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Cantal Conseil Elevage, Agrolab Labor GmbH, and Centre National Interprofessionnel de l'Economie Laitiere (CNIEL, Paris, France)
- Subjects
Spectrophotometry, Infrared ,mid-infrared spectroscopy ,Silage ,Forage ,Zea mays ,01 natural sciences ,Pasture ,Animal science ,Cheese ,Partial least squares regression ,Grazing ,Genetics ,Animals ,Dry matter ,Least-Squares Analysis ,cow feeding authentication ,Mathematics ,2. Zero hunger ,milk ,geography ,geography.geographical_feature_category ,010401 analytical chemistry ,0402 animal and dairy science ,food and beverages ,04 agricultural and veterinary sciences ,Animal Feed ,040201 dairy & animal science ,Diet ,0104 chemical sciences ,Extensive farming ,Hay ,Cattle ,Animal Science and Zoology ,France ,PDO cheese ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Food Science - Abstract
International audience; The ability of mid-infrared spectroscopy (MIR) to predict indicators (1) of diet composition in dairy herds and (2) for the authentication of the cow feeding restrictions included in the specification of 2 Protected Designation of Origin (PDO) cheeses (Cantal and Laguiole) was tested on 7,607 bulk milk spectra from 1,355 farms located in the Massif Central area of France. For each milk sample, the corresponding cow diet composition data were obtained through on-farm surveys. The cow diet compositions varied largely (i.e., from full grazing for extensive farming systems to corn silage-based diets, which are typical of more intensive farming systems). Partial least square regression and discriminant analysis were used to predict the proportion of different feedstuff's in the cows' diets and to authenticate the cow feeding restrictions for the PDO cheese specifications, respectively. The groups for the discriminant analysis were created by dividing the data set according to the threshold of a specific feedstuff. They were issued based on the specifications of the restriction of the PDO cheese. The pasture proportion in the cows' diets was predicted by MIR with an coefficient of determination in external validation ((RV)-V-2) 0.81 and a standard error of prediction of 11.7% dry matter. Pasture + hay, corn silage, conserved herbage, fermented forage, and total herbage proportion in the cows' diets were predicted with a (RV)-V-2 >0.61 and a standard error of prediction = 50%, and pasture >= 57% in the cows' diets achieved an accuracy and specificity >= 90%. A sensitivity and precision >= 85% were also observed for the pasture proportion discrimination models, but both of these indexes decreased at increasing thresholds from 0 to 50, and 57% pasture in the cows' diets. An accuracy >= 80% was also observed for pasture + hay >= 72%, herbage >= 50%, pasture hay >= 25%, absence of fermented herbage, absence of corn silage, and corn silage 90%. Both the regression and discriminant MIR models for bulk milk can provide useful indicators of cow diet composition and PDO cheese specifications to producers and consumers (farmers, dairy plants).
- Published
- 2021
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