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Vigolo V, Visentin E, Ballancin E, Lopez-Villalobos N, Penasa M, De Marchi M. β-Casein A1 and A2: Effects of polymorphism on the cheese-making process. J Dairy Sci 2023; 106:5276-5287. [PMID: 37291039 DOI: 10.3168/jds.2022-23072] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/13/2023] [Indexed: 06/10/2023]
Abstract
Of late, "A2 milk" has gained prominence in the dairy sector due to its potential implications in human health. Consequently, the frequency of A2 homozygous animals has considerably increased in many countries. To elucidate the potential implications that beta casein (β-CN) A1 and A2 may have on cheese-making traits, it is fundamental to investigate the relationships between the genetic polymorphisms and cheese-making traits at the dairy plant level. Thus, the aim of the present study was to evaluate the relevance of the β-CN A1/A2 polymorphism on detailed protein profile and cheese-making process in bulk milk. Based on the β-CN genotype of individual cows, 5 milk pools diverging for presence of the 2 β-CN variants were obtained: (1) 100% A1; (2) 75% A1 and 25% A2; (3) 50% A1 and 50% A2; (4) 25% A1 and 75% A2; and (5) 100% A2. For each cheese-making day (n = 6), 25 L of milk (divided into 5 pools, 5 L each) were processed, for a total of 30 cheese-making processes. Cheese yield, curd nutrient recovery, whey composition, and cheese composition were assessed. For every cheese-making process, detailed milk protein fractions were determined through reversed-phase HPLC. Data were analyzed by fitting a mixed model, which included the fixed effects of the 5 different pools, the protein and fat content as a covariate, and the random effect of the cheese-making sessions. Results showed that the percentage of κ-CN significantly decreased up to 2% when the proportion of β-CN A2 in the pool was ≥25%. An increase in the relative content of β-CN A2 (≥50% of total milk processed) was also associated with a significantly lower cheese yield both 1 and 48 h after cheese production, whereas no effects were observed after 7 d of ripening. Concordantly, recovery of nutrients reflected a more efficient process when the inclusion of β-CN A2 was ≤75%. Finally, no differences in the final cheese composition obtained by the different β-CN pools were observed.
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Affiliation(s)
- Vania Vigolo
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - Elena Visentin
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - Eva Ballancin
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - Nicolas Lopez-Villalobos
- School of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand
| | - Mauro Penasa
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - Massimo De Marchi
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
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2
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Magro S, Costa A, De Marchi M. Total and Differential Somatic Cell Count in Italian Local Cattle Breeds: Phenotypic Variability and Effect on Milk Yield and Composition. Animals (Basel) 2023; 13:ani13071249. [PMID: 37048505 PMCID: PMC10093597 DOI: 10.3390/ani13071249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/24/2023] [Accepted: 04/01/2023] [Indexed: 04/14/2023] Open
Abstract
Milk differential somatic cell count (DSCC) represents the percentage of polymorphonuclear neutrophils and lymphocytes out of the total somatic cell count (SCC) and has been proposed in recent years as a proxy for udder health in dairy cows. We investigated phenotypic factors affecting SCC and DSCC using 3978 records of 212 Alpine Grey and 426 Burlina cows farmed in Northern Italy. The linear mixed model accounted for the fixed effects of breed, parity, lactation stage, sampling season, and first-order interactions of breed with the other effects. Cow, herd-test-date nested within breed were random. Subsequently, four udder health status groups (UHS) were created by combining SCC and DSCC to assess the UHS impact on milk yield and quality. DSCC was greater in Alpine Grey (66.2 ± 0.8%) than Burlina cows (63.2 ± 0.6%) and, similarly to SCC, it increased with days in milk and parity regardless of breed. Milk yield and composition were affected by UHS in both breeds. These results suggest that also udder health of local breeds can be monitored on a large scale through SCC and DSCC for reduction in biodiversity loss and increased farm profitability. However, in addition to milk data, the introduction of mastitis recording and monitoring plans is advisable.
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Affiliation(s)
- Silvia Magro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Padova, Italy
| | - Angela Costa
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, 40064 Bologna, Italy
| | - Massimo De Marchi
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Padova, Italy
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3
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Vigolo V, Niero G, Penasa M, De Marchi M. Effects of preservative, storage time, and temperature of analysis on detailed milk protein composition determined by reversed-phase high-performance liquid chromatography. J Dairy Sci 2022; 105:7917-7925. [DOI: 10.3168/jds.2022-22069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/02/2022] [Indexed: 11/19/2022]
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Ghavi Hossein-Zadeh N. A meta-analysis of genetic parameter estimates for milk and serum minerals in dairy cows. J DAIRY RES 2022; 89:1-10. [PMID: 35193720 DOI: 10.1017/s0022029922000127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This study aimed to conduct a meta-analysis based on a random-effects model to combine different published heritability estimates and genetic correlations for milk and serum minerals in dairy cows. In total, 59 heritability and 25 genetic correlation estimates from 12 articles published between 2009 and 2021 were used. The heritability estimates for milk macro-minerals were moderate to high and ranged from 0.311 (for Na) to 0.420 (for Ca). On the other hand, milk micro-minerals had lower heritabilities with a range from 0.013 (for Fe) to 0.373 (for Zn). The heritability estimates for serum macro-minerals were generally low and varied from 0.126 (for K) to 0.206 (for Mg). The estimates of genetic correlation between milk macro-minerals varied from -0.024 (between Na and K) to 0.625 (between Mg and P). The genetic correlations of milk Ca and P with milk yield were -0.171 and -0.211, respectively. The estimates of genetic parameters reported in this meta-analysis study are appropriate to utilize in breeding plans when valid estimates are not available for milk minerals in dairy cow populations.
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5
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Vigolo V, Franzoi M, Penasa M, De Marchi M. β-Casein variants differently affect bulk milk mineral content, protein composition, and technological traits. Int Dairy J 2022. [DOI: 10.1016/j.idairyj.2021.105221] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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6
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Niero G, Franzoi M, Manuelian CL, Visentin G, Penasa M, De Marchi M. Protein profile of cow milk from multibreed herds and its relationship with milk coagulation properties. ITALIAN JOURNAL OF ANIMAL SCIENCE 2021. [DOI: 10.1080/1828051x.2021.1996288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Giovanni Niero
- Dipartimento di Agronomia, Animali, Alimenti, Risorse naturali e Ambiente, University of Padua, Legnaro, Italy
| | - Marco Franzoi
- Dipartimento di Agronomia, Animali, Alimenti, Risorse naturali e Ambiente, University of Padua, Legnaro, Italy
| | - Carmen L. Manuelian
- Dipartimento di Agronomia, Animali, Alimenti, Risorse naturali e Ambiente, University of Padua, Legnaro, Italy
| | - Giulio Visentin
- Dipartimento di Scienze Mediche Veterinarie, Alma Mater Studiorum University of Bologna, Ozzano dell’Emilia, Italy
| | - Mauro Penasa
- Dipartimento di Agronomia, Animali, Alimenti, Risorse naturali e Ambiente, University of Padua, Legnaro, Italy
| | - Massimo De Marchi
- Dipartimento di Agronomia, Animali, Alimenti, Risorse naturali e Ambiente, University of Padua, Legnaro, Italy
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7
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Lopez-Villalobos N, Spelman RJ, Melis J, Davis SR, Berry SD, Lehnert K, Sneddon NW, Holroyd SE, MacGibbon AK, Snell RG. Genetic correlations of milk fatty acid contents predicted from milk mid-infrared spectra in New Zealand dairy cattle. J Dairy Sci 2020; 103:7238-7248. [PMID: 32534926 DOI: 10.3168/jds.2019-17971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 04/02/2020] [Indexed: 12/29/2022]
Abstract
The objective of this study was to estimate genetic correlations among milk fatty acid (FA) concentrations in New Zealand dairy cattle. Concentrations of each of the most common FA, expressed as a percentage of the total FA, were determined by gas chromatography on a specific cohort of animals. Using this data set, prediction equations were derived using mid-infrared (MIR) spectroscopy data collected from the same samples. These prediction equations were applied to a large data set of MIR measurements in 34,141 milk samples from 3,445 Holstein-Friesian, 2,935 Jersey, and 3,609 crossbred Holstein-Friesian × Jersey cows, sampled an average of 3.42 times during the 2007-2008 season. Data were analyzed using univariate and bivariate repeatability animal models. Heritability of predicted FA concentration in milk fat ranged from 0.21 to 0.42, indicating that genetic selection could be used to change the FA composition of milk. The de novo synthesized FA (C6:0, C8:0, C10:0, C12:0, and C14:0) showed strong positive genetic correlations with each other, ranging from 0.24 to 0.99. Saturated FA were negatively correlated with unsaturated (-0.93) and polyunsaturated (-0.84) FA. The saturated FA were positively correlated with milk fat yield and fat percentage, whereas the unsaturated FA were negatively associated with fat yield and fat percentage. Our results indicate that bovine milk FA composition can be changed through genetic selection using MIR as a phenotypic proxy.
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Affiliation(s)
- N Lopez-Villalobos
- School of Agriculture and Environment, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
| | - R J Spelman
- Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
| | - J Melis
- Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
| | - S R Davis
- Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
| | - S D Berry
- School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - K Lehnert
- School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - N W Sneddon
- School of Agriculture and Environment, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand; Fonterra Research and Development Centre, Palmerston North 4442, New Zealand
| | - S E Holroyd
- Fonterra Research and Development Centre, Palmerston North 4442, New Zealand
| | - A K MacGibbon
- Fonterra Research and Development Centre, Palmerston North 4442, New Zealand
| | - R G Snell
- School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
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9
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Franzoi M, Niero G, Visentin G, Penasa M, Cassandro M, De Marchi M. Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra. Animals (Basel) 2019; 9:ani9040176. [PMID: 31003454 PMCID: PMC6523433 DOI: 10.3390/ani9040176] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 04/04/2019] [Accepted: 04/15/2019] [Indexed: 01/09/2023] Open
Abstract
Simple Summary Milk proteins are one of the most valuable milk components. The objective of the present study was to assess sources of variation of detailed protein composition predicted from infrared spectra in milk of dairy and dual-purpose cattle breeds. Results showed that protein fractions were primarily influenced by days in milk, and the relative proportion of each fraction through lactation was not constant. Protein fractions correlated with crude protein, total casein, fat and milk urea nitrogen. In perspective, mid-infrared predictions of milk fractions could be useful for the dairy sector to improve nutritional and technological properties of milk. Abstract This study aimed to investigate factors affecting protein fractions, namely α-casein (α-CN), β-casein (β-CN), κ-casein (κ-CN), β-lactoglobulin (β-LG) and α-lactalbumin (α-LA) predicted from milk infrared spectra in milk of dairy and dual-purpose cattle breeds. The dataset comprised 735,328 observations from 49,049 cows in 1782 herds. Results highlighted significant differences of protein fractions in milk of the studied breeds. Significant variations of protein fractions were found also through parities and lactation, with the latter thoroughly influencing protein fractions percentage. Interesting correlations (r) were estimated between β-CN, κ-CN and β-LG, expressed as percentage of crude protein, and milk urea nitrogen (r = 0.31, −0.20 and −0.26, respectively) and between α-LA and fat percentage (r = 0.41). The present study paves the way for future studies on the associations between protein fractions and milk technological properties, and for the estimation of genetic parameters of predicted protein composition.
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Affiliation(s)
- Marco Franzoi
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - Giovanni Niero
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - Giulio Visentin
- Associazione Nazionale Allevatori della Razza Frisona e Jersey Italiana, Via Bergamo 292, 26100 Cremona, Italy.
| | - Mauro Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - Massimo De Marchi
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
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10
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Niero G, Penasa M, Costa A, Currò S, Visentin G, Cassandro M, De Marchi M. Total antioxidant activity of bovine milk: Phenotypic variation and predictive ability of mid-infrared spectroscopy. Int Dairy J 2019. [DOI: 10.1016/j.idairyj.2018.08.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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11
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Genetic (co)variances between milk mineral concentration and chemical composition in lactating Holstein-Friesian dairy cows. Animal 2019; 13:477-486. [DOI: 10.1017/s1751731118001507] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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12
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De Marchi M, Penasa M, Zidi A, Manuelian C. Invited review: Use of infrared technologies for the assessment of dairy products—Applications and perspectives. J Dairy Sci 2018; 101:10589-10604. [DOI: 10.3168/jds.2018-15202] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 08/20/2018] [Indexed: 12/28/2022]
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13
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Manuelian CL, Penasa M, Visentin G, Zidi A, Cassandro M, De Marchi M. Mineral composition of cow milk from multibreed herds. Anim Sci J 2018; 89:1622-1627. [DOI: 10.1111/asj.13095] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 06/08/2018] [Accepted: 06/28/2018] [Indexed: 01/28/2023]
Affiliation(s)
- Carmen L. Manuelian
- Department of Agronomy, Food, Natural Resources, Animals and Environment; University of Padova; Legnaro Padova Italy
| | - Mauro Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment; University of Padova; Legnaro Padova Italy
| | - Giulio Visentin
- Department of Agronomy, Food, Natural Resources, Animals and Environment; University of Padova; Legnaro Padova Italy
- Associazione Nazionale Allevatori Frisona Italiana (ANAFI); Cremona Italy
| | - Ali Zidi
- Department of Animal Medicine, Production and Health; University of Padova; Legnaro Padova Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment; University of Padova; Legnaro Padova Italy
| | - Massimo De Marchi
- Department of Agronomy, Food, Natural Resources, Animals and Environment; University of Padova; Legnaro Padova Italy
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14
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Manuelian CL, Penasa M, Visentin G, Cassandro M, De Marchi M. Phenotypic analysis of milk coagulation properties and mineral content of Pinzgauer cattle breed. Arch Anim Breed 2018. [DOI: 10.5194/aab-61-215-2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract. This study aimed to characterize milk coagulation properties (rennet
coagulation time, curd-firming time and curd firmness 30 min after rennet
addition to milk) and major mineral contents (Ca, Mg, P, K and Na) in
Pinzgauer dual-purpose cattle breed. The edited dataset consisted of
7763 milk observations from 851 cows reared in 60 herds in the Alpine area of
Bolzano province (Italy). Data were analysed through a linear mixed model
which included stage of lactation, parity and their interaction as fixed
effects, and cow and herd test date as random effects. Rennet coagulation
time, curd-firming time and curd firmness 30 min after rennet addition to
milk averaged 22.66 min, 5.53 min and 16.79 mm, respectively. The most
abundant minerals were P (1495 mg kg−1) and Ca (1344 mg kg−1),
and the least abundant Mg (141 mg kg−1). Compared to their older
contemporaries, early-lactating younger animals yielded milk that was more
favourable for cheese production (i.e. with shorter coagulation time and
stronger curd firmness). Mineral contents were lower in milk of primiparous
than multiparous cows, except for Na. Moreover, Ca, Mg, P and Na contents
decreased from parturition to peak of lactation and increased thereafter,
except for K, which exhibited an opposite trend. Our results showed that
Pinzgauer breed produced milk with better coagulation properties and mineral
content, from a technological point of view, in first than later parities and
in early than late lactation. The characterization of milk coagulation
properties and mineral content in autochthonous breeds is important to
increase their value and marketability of their products.
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15
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Niero G, Koczura M, De Marchi M, Currò S, Kreuzer M, Turille G, Berard J. Are cheese-making properties of dual purpose cattle impaired by highland grazing? A case study using Aosta Red Pied cows. ITALIAN JOURNAL OF ANIMAL SCIENCE 2018. [DOI: 10.1080/1828051x.2018.1443289] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Giovanni Niero
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente (DAFNAE), Università degli Studi di Padova, Legnaro, Province of Padua, Italy
| | - Madeline Koczura
- ETH Zurich, Institute of Agricultural Sciences, Zurich, Switzerland
| | - Massimo De Marchi
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente (DAFNAE), Università degli Studi di Padova, Legnaro, Province of Padua, Italy
| | - Sarah Currò
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente (DAFNAE), Università degli Studi di Padova, Legnaro, Province of Padua, Italy
| | - Michael Kreuzer
- ETH Zurich, Institute of Agricultural Sciences, Zurich, Switzerland
| | | | - Joel Berard
- ETH Zurich, Institute of Agricultural Sciences, Zurich, Switzerland
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16
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Niero G, Currò S, Costa A, Penasa M, Cassandro M, Boselli C, Giangolini G, De Marchi M. Short communication: Phenotypic characterization of total antioxidant activity of buffalo, goat, and sheep milk. J Dairy Sci 2018; 101:4864-4868. [PMID: 29550119 DOI: 10.3168/jds.2017-13792] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 02/10/2018] [Indexed: 01/12/2023]
Abstract
Free radicals are reactive and unstable waste molecules produced by cells, responsible of damages and alteration on DNA, proteins, and fat. The daily intake of antioxidant compounds, acting against free radicals and their detrimental effects, is essential for human health. Milk contains several compounds with antioxidant activity, and the sum of their reducing potential blocking free radicals development is defined as total antioxidant activity (TAA). This novel trait has been described in literature both in individual and bulk cow milk, but there are no reports from other dairy species. Therefore, the present study aimed to investigate phenotypic variation of TAA in individual samples of buffalo (n = 105), goat (n = 112), and sheep (n = 198) milk. Total antioxidant activity was measured through a reference spectrophotometric method, and expressed as millimoles per liter of Trolox equivalents (TE). The greatest TAA was observed in sheep milk, averaging 7.78 mmol/L of TE and showing also the broadest phenotypic variation expressed as coefficient of variation (13.98%). Significantly lower TAA values were observed for buffalo (7.35 mmol/L of TE) and goat (6.80 mmol/L of TE) milk, with coefficients of variation of 8.18 and 8.47%, respectively. Total antioxidant activity exhibited weak correlations with milk yield and chemical composition. Phenotypic values of TAA presented in this study will be used to assess the ability of mid-infrared spectroscopy to predict this new trait and thus to collect data at the population level.
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Affiliation(s)
- G Niero
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
| | - S Currò
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - A Costa
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - M Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - M Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
| | - C Boselli
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy
| | - G Giangolini
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "Mariano Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy
| | - M De Marchi
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy
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17
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Manuelian CL, Visentin G, Penasa M, Cassandro M, De Marchi M. Phenotypic variation of milk fatty acid composition of Pinzgauer cattle breed. ITALIAN JOURNAL OF ANIMAL SCIENCE 2017. [DOI: 10.1080/1828051x.2017.1416685] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Carmen Loreto Manuelian
- Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Giulio Visentin
- Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Mauro Penasa
- Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Martino Cassandro
- Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Massimo De Marchi
- Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
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18
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Gottardo P, Penasa M, Righi F, Lopez-Villalobos N, Cassandro M, De Marchi M. Fatty acid composition of milk from Holstein-Friesian, Brown Swiss, Simmental and Alpine Grey cows predicted by mid-infrared spectroscopy. ITALIAN JOURNAL OF ANIMAL SCIENCE 2017. [DOI: 10.1080/1828051x.2017.1298411] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Paolo Gottardo
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Scotland, UK
| | - Mauro Penasa
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Federico Righi
- Dipartimento di Scienze Medico-Veterinarie, University of Parma, Parma, Italy
| | - Nicolas Lopez-Villalobos
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
| | - Martino Cassandro
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
| | - Massimo De Marchi
- Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente, University of Padova, Legnaro, Italy
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