Mauro Coppa
University of Turin
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Featured researches published by Mauro Coppa.
Journal of Dairy Science | 2013
Mauro Coppa; Anne Ferlay; C. Chassaing; Claire Agabriel; F. Glasser; Y. Chilliard; G. Borreani; R. Barcarolo; T. Baars; Daniel Kusche; Odd Magne Harstad; J. Verbič; J. Golecký; Bruno Martin
The aim of this study was to predict the fatty acid (FA) composition of bulk milk using data describing farming practices collected via on-farm surveys. The FA composition of 1,248 bulk cow milk samples and the related farming practices were collected from 20 experiments led in 10 different European countries at 44°N to 60°N latitude and sea level to 2,000 m altitude. Farming practice-based FA predictions [coefficient of determination (R(2)) >0.50] were good for C16:0, C17:0, saturated FA, polyunsaturated FA, and odd-chain FA, and very good (R(2) ≥0.60) for trans-11 C18:1, trans-10 + trans-11 C18:1, cis-9,trans-11 conjugated linoleic acid, total trans FA, C18:3n-3, n-6:n-3 ratio, and branched-chain FA. Fatty acids were predicted by cow diet composition and by the altitude at which milk was produced, whereas animal-related factors (i.e., lactation stage, breed, milk yield, and proportion of primiparous cows in the herd) were not significant in any of the models. Proportion of fresh herbage in the cow diet was the main predictor, with the highest effect in almost all FA models. However, models built solely on conserved forage-derived samples gave good predictions for odd-chain FA, branched-chain FA, trans-10 C18:1 and C18:3n-3 (R(2) ≥0.46, 0.54, 0.52, and 0.70, respectively). These prediction models could offer farmers a valuable tool to help improve the nutritional quality of the milk they produce.
Journal of Agricultural and Food Chemistry | 2011
Mauro Coppa; Bruno Martin; Philippe Pradel; Barbara Leotta; A. Priolo; Valentina Vasta
The effect of animal feeding on milk volatile organic compounds (VOCs) of metabolic origin was tested on a hay-based diet (H), a highly diversified pasture under continuous grazing (CG), or a less diversified pasture under rotational grazing (RG). Individual milk of 24 Montbéliarde cows (8 per treatment) were sampled after 2 weeks. Pasture-derived milk was richer (p < 0.05) in camphene, sabinene, β-caryophyllene, and skatole than H milk. Neither milk yield nor fat content affected the majority of VOCs measured. Skatole increased slightly with milk yield, while indole and cineole decreased slightly with milk fat content but with poor regression (R(2) < 0.54). Multivariate analysis showed that, on the basis of those VOCs of metabolic origin whose concentration differed between treatment (dimethyl-sulfone, skatole, toluene, undecanoic acid, 1-octadecene, benzeneacetaldehyde, octanoic acid, and 2-pentanone-4-hydroxy-4-methyl), it was possible to obtain good discriminations among feeding systems. This study is promising for a future use of VOCs of metabolic origin to trace animal feeding systems.
Food Chemistry | 2014
Mauro Coppa; A. Revello-Chion; D. Giaccone; Anne Ferlay; E. Tabacco; G. Borreani
Near (NIR) and medium (MIR) infrared reflectance spectroscopy (IR) predictions of fatty acid (FA) composition, expressed as g/kg of milk or g/100g of FA, on fresh and thawed milk were compared. Two-hundred-and-fifty bulk cow milks, collected from 70 farms in northwest Italy, were scanned by MIR in liquid form and by NIR in liquid and oven-dried forms. MIR and NIR FA (g/100g FA) predictions on oven-dried milk were similar for the sum of even chain-saturated FA (ECSFA), odd chain-FA (OCFA), unsaturated FA (UFA), conjugated linoleic acid (CLA), n-3 FA, and C18:1cis9 to C16 ratio. The monounsaturated FA (MUFA), n-6 to n-3 ratio, polyunsaturated FA (PUFA), and n-6 FA were predicted better by NIR on oven-dried milk. The NIR showed worse predictions than MIR for almost all FA, when expressed as g/kg of milk. The NIR predictions on fresh liquid and oven-dried milk were similar, but the reliability decreased for thawed liquid milk. The high performance shown by NIR and MIR allows their use for routine milk FA composition recording.
Journal of Dairy Science | 2012
Mauro Coppa; Bruno Martin; Claire Agabriel; Chantal Chassaing; Cécile Sibra; I. Constant; Benoît Graulet; D. Andueza
The ability of near-infrared spectroscopy to trace cow feeding systems and farming altitude was tested on 486 bulk milk samples from France and northwestern Italy. Milks were grouped into feeding systems according to the main forage in the diet. Partial least square discriminant analysis correctly classified 95.5, 91.5, and 93.3% of pasture versus maize silage, hay, and fermented herbage feeding systems, respectively. Discrimination was slightly less successful when diets with large proportions of the nondominant forage were included in each group. Near-infrared spectroscopy correctly discriminated no-pasture from pasture milk, even with only 30% of pasture in the diet (5.4% cross-validation error), and the error stabilized when pasture exceeded 70% (2.5% error). Near-infrared spectroscopy did not reliably trace milk geographic origin when the feeding system effect was isolated from the altitude effect. These findings may be usefully exploited for the authentication of dairy products.
Journal of Dairy Science | 2013
G. Borreani; Mauro Coppa; A. Revello-Chion; Luciano Comino; D. Giaccone; Anne Ferlay; E. Tabacco
The aim of this work was to characterize the fatty acid (FA) profile of milk from intensive dairy farming systems in the Po Plain (Italy) to estimate the costs of the adopted feeding strategies and to simulate the effect of supplementary premiums on the basis of milk FA composition on milk income. Twenty dairy farms with 5 different feeding strategies were studied: 3 corn silage-based systems in which cows were supplemented with a great proportion (CCH), a medium proportion (CCM), or without commercial concentrate mix (CC0), and 2 systems in which part of corn silage was replaced with grass or legume silage (HF) or with fresh herbage (G), cut and fed indoors. Bulk milk was sampled and lactating cow performance, feeding strategies and forage characteristics were recorded through a survey, 3 times during a year. The milk FA supplementary premium was calculated considering C18:3n-3 and saturated FA (SFA) concentrations, and ratio of total cis C18:1 isomers to C16:0. The CCH, CCM, and CC0 systems bought most of their dairy cow feeds off farm, which allowed them to increase milk production to 35,000 L/yr per hectare. Their low dry matter and crude protein self-sufficiency led to higher feeding costs per liter of milk (from €0.158 to €0.184), and highest income over feed cost was achieved only for milk yield performance greater than 10,000 kg/cow per year. The use of homegrown forages in HF and G increased dry matter and crude protein self-sufficiency and reduced the feeding costs per liter of milk from 9 to 22%, compared with the other studied systems, making HF and G feeding economically competitive, even for a lower milk yield per cow. The studied systems highlighted a remarkable variation in FA profiles. The concentrations of C16:0 and SFA were the highest in CCH (31.53 and 67.84 g/100g of FA) and G (31.23 and 68.45 g/100g of FA), because of the larger proportion of commercial concentrate mix in the cow diet. The concentrations of C16:0 and SFA were the lowest in CCM (27.86 and 63.10 g/100g of FA), because of low roughage-to-concentrate ratio in the cow diet, which is known to favor milk fat depression, affecting particularly these FA. The calculated supplementary premium was the highest in the CCM system, based on milk FA profiles from those herds. The HF diet was rich in forages and resulted in greater concentration of C18:3n-3 in milk (0.57 g/100g of FA) than the other systems and thus led to an increase in milk FA supplementary premium. Milk from G and HF milk had the lowest ratio of Σn-6:Σn-3 FA compared with milk from the systems based on higher corn silage proportion in the cow diet (3.71, and 3.25, respectively, vs. 4.58 to 4.78), with the lower ratios being closer to recommendation for human nutrition.
Journal of Dairy Science | 2015
Mauro Coppa; C. Chassaing; Anne Ferlay; Claire Agabriel; C. Laurent; G. Borreani; R. Barcarolo; T. Baars; Daniel Kusche; Odd Magne Harstad; J. Verbič; J. Golecký; C. Delavaud; Y. Chilliard; Bruno Martin
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.
Italian Journal of Animal Science | 2011
Mauro Coppa; Anne Farruggia; Philippe Pradel; Giampiero Lombardi; Bruno Martin
Research has recently focused on pasture species intake by ruminants due to their influence on animal product quality. A field-applicable method which investigates species intake and selection, was tested on two dairy cow grazing systems: continuous grazing on a highly-biodiverse pasture (C) and rotational grazing on a moderately-diverse sward (R). In addition to the grazed class method, which evaluates the percentage of grazed dry matter (DM) per species according to the residual height of the plant grazed, further measurements were introduced to quantify DM consumption and selection index per species. Six and four representative species were studied in the C and R systems respectively. We found an exponential regression between the presence of a species and its contribution to the cattle’s daily intake (P<0.01). On the C plot, Festuca nigrescens showed the highest intake (6.2 kg DM/cow d), even if avoided. On the R plot, Taraxacum officinale was intensively consumed (6.1 kg DM/cow d), even cows do not express positive selection for the species, while Poaceae were avoided. Giving details on species consumption, the improved grazed class method may prove especially useful in non-experimental conditions in biodiverse sward to address grazing management to the consumption of species able to give specific characteristics to dairy products.
Italian Journal of Animal Science | 2015
Luciano Comino; Federico Righi; Mauro Coppa; Afro Quarantelli; E. Tabacco; G. Borreani
An observational study was conducted on three northern Italy Holstein dairy herds to evaluate the impact of milk fat depression (MFD, defined as milk fat lower than 3.2) on milk production and fatty acids (FA) composition in order to investigate the practical consequences and the possible origin of this phenomenon. The diet composition and the individual milk production and composition, were monitored during the first six months of lactation. Two virtual groups were created in each farm on the basis of the milk fat levels observed during the first two months of lactation (higher or lower than 3.2). Individual milk samples were taken from 16 animals/group/farm for composition and fatty acid analysis. The diet of Farm A, characterized by the highest average prevalence of MFD (33.1%), showed the highest acidogenic attitude (high NFC, low NDF, low peNDF8). The milk fat level differed significantly per group over time in all farms. Cattle with MFD showed tendentially lower energy corrected milk output and greater concentrations of C12:0÷C15:0, C18:1trans 10, total polyunsaturated, total odd chain (OCFA), total n-6 as well as OCFA/branched chain fatty acids, and C18:1trans 10/C18:1trans 11 ratios. Farm A milk fat showed higher values of C12:0, C13:0, C14:0 and C15:0. It appears that MFD cattle are characterized by lower mammary energy output and a milk FA profile similar to cattle fed acidogenic diets, thus suggesting an alteration in the rumen fermentation patterns, as occurs in acidotic cattle.
Natural Product Research | 2009
Luca Falchero; Mauro Coppa; Alessia Fossi; Giampiero Lombardi; Daniele Ramella; Aldo Tava
The volatile fraction from the aerial part of Alchemilla xanthochlora Rothm. (Rosaceae) was obtained by hydrodistillation, and the chemical composition of the obtained oil was determined by GC/FID and GC/MS. Several compounds were found, belonging to the classes of aldehydes, alcohols, terpenes, esters, acids and hydrocarbons. The major constituents were cis-3-hexenol (11.20 ± 0.02%), linalool (10.36 ± 0.75%), oct-1-en-3-ol (8.98 ±1.43%), and nonanal (7.83 ± 0.93%), followed by myrtenol (4.65 ± 0.40%), hexadecanoic acid (4.59 ± 0.79%), cis-3-hexenyl acetate (3.92 ± 0.15%) and α-terpineol (3.10 ± 0.26%).
Journal of Essential Oil Research | 2008
Luca Falchero; Mauro Coppa; Silvia Esposti; Aldo Tava
Abstract The volatile fraction of Alchemilla alpina L. em. Buser was isolated by steam distillation from fresh aerial tissues and analyzed by GC-FID and GC/MS. Fresh samples were collected in two experimental sites located in Western alpine region (Alpe Gianna and Alpe Caugis, Val Pellice, Piedmont, Italy). The yield in essential oil was 0.16 ± 0.04% of fresh material. A wide range in volatile quantitative composition was detected. Terpenes and alcohols were identified as the major compounds representing the 36.9% and 30.6% of the total oil, and quantified as 47.3 μg/g fresh weight and 39.2 μg/g fresh weight, respectively. Aldehydes were quoted as 15.4% of the total oil (19.7 μg/g fresh weight), followed by acids 2.3% (3.0 μg/g fresh weight), esters 1.0% (1.3 μg/g fresh weight) and unidentified 0.5% (0.7 μg/g fresh weight). Dill apiole, coumarin, myristicin, vanillin, eugenol, apiole and p-vinyl guaiacol, altogether quoted as 4.5% of the total oil (5.8 μg/g fresh weight), were also detected.