References
- Aguilar M., Hanigan M.D., Tucker H.A., Jones B.L., Garbade S.K., Mc Gilliard M.L., Stallings C.C., Knowlton K.F., James R.E. (2012). Cow and herd variation in milk urea nitrogen concentrations in lactating dairy cattle. J. Dairy Sci., 95: 7261–7268.
- Ali A.K.A, Shook G.E. (1980). An optimum transformation for somatic cell concentration in milk. J. Dairy Sci., 63: 487–490.
- ANAFIJ(Italian Holsteinand Jersey Breeders Association). (2020). Index calculation cards. Accessed Apr. 5, 2020. http://www.anafi.it/en/genetic-indexes/index-calculation-cards
- ANAPRI(Italian Simmental Cattle Breeders Association). (2020). L’indice di selezione. Accessed Apr. 4, 2020. https://www.anapri.eu/index.php?option=com_content&view=article&id=68&Itemid=97
- ANARB(Italian Brown Cattle Breeders Association). (2020). Italian Brown breed. Accessed Apr. 5, 2020. http://www.anarb.it/en/about-us/italian-brown-breed
- Breeders Associationof Bolzano Province. (2018). Annual activity report for the production year 2018. Accessed Feb. 15, 2020 https://www.vstz.it/de/suedtiroler-tierzuchtvereinigung-service/downloads
- Brinkmann J., Ivenmeyer S., Pelzer A., Winckler C., Zapf R. (2016). Tierschutzindikatoren: Leitfaden für die Praxis-Rind. Vorschläge für die Produktionsrichtungen Milchkuh, Aufzuchtkalb, Mastrind. KTBL.
- Bruckmaier R.M., Ontsouka C.E., Blum J.W. (2004). Fractionized milk composition in dairy cows with subclinical mastitis. Veterinární medicína, 49: 283–290.
- Buttchereit N., Stamer E., Junge W., Thaller G. (2012). Genetic parameters for energy balance, fat/protein ratio, body condition score and disease traits in German Holstein cows. J. Anim. Breed. Genet., 129: 280–288.
- Costa A., Lopez-Villalobos N., Sneddon N.W., Shalloo L., Franzoi M., De Marchi M., Penasa M. (2019). Invited review: Milk lactose – current status and future challenges in dairy cattle. J. Dairy Sci., 102: 5883–5898.
- Dal Zotto R., Penasa M., De Marchi M., Cassandro M., López-Villalo-bos N., Bittante G. (2009). Use of crossbreeding with beef bulls in dairy herds: Effect on age, body weight, price, and market value of calves sold at livestock auctions. J. Anim. Sci., 87: 3053–3059.
- De Marchi M., Toffanin V., Cassandro M., Penasa M. (2014). Invited review: Mid-infrared spectroscopy as phenotyping tool for milk traits. J. Dairy Sci., 97: 1171–1186.
- Fatehi F., Zali A., Honarvar M., Dehghan-Banadaky M., Young A.J., Ghiasvand M., Eftekhari M. (2012). Review of the relationship between milk urea nitrogen and days in milk, parity, and monthly temperature mean in Iranian Holstein cows. J. Dairy Sci., 95: 5156–5163.
- Faustini M., Chiesa L.M., Munari E., Curone G., Colombani C., Vigo D. (2016). A survey on mono-polyunsaturated fatty acids, desaturase indices and atherogenic index in the milk fat of local breeds (Cabannina, Varzese and Valdostana) reared in northern Italy. J. Dairy Vet. Anim. Res., 3: 207–211.
- Franzoi M., Niero G., Visentin G., Penasa M., Cassandro M., De Marchi M. (2019 a). Variation of detailed protein composition of cow milk predicted from a large database of midinfrared spectra. Animals, 9: 176.10.3390/ani9040176652343331003454
- Franzoi M., Manuelian C.L., Penasa M., De Marchi M. (2019 b). Effects of somatic cell score on milk yield and mid-infrared predicted composition and technological traits of Brown Swiss, Holstein Friesian, and Simmental cattle breeds. J. Dairy Sci., 103: 791–804.10.3168/jds.2019-1691631733847
- Gorlier A., Lonati M., Renna M., Lussiana C., Lombardi G., Battaglini L.M. (2012). Changes in pasture and cow milk compositions during a summer transhumance in the western Italian Alps. J. Appl. Bot. Food Qual., 85: 216–223.
- Hein L., Sørensen L.P., Kargo M., Buitenhuis A.J. (2018). Genetic analysis of predicted fatty acid profiles of milk from Danish Holstein and Danish Jersey cattle populations. J. Dairy Sci., 101: 2148–2157.
- Hossein-Zadeh N.G., Ardalan M. (2011). Estimation of genetic parameters for milk urea nitrogen and its relationship with milk constitutes in Iranian Holsteins. Livest. Sci., 135: 274–281.
- Ikonen T., Morri S., Tyrisevä A.M., Ruottinen O., Ojala M. (2004). Genetic and phenotypic correlations between milk coagulation properties, milk production traits, somatic cell count, casein content, and pH of milk. J. Dairy Sci., 87: 458–467.
- Kirchnerová K., Vršková M. (2015). Milk fatty acid profile in different breeds of dairy cattle. J. Microbiol. Biotech. Food Sci., 4: 78–81.
- Koczura M., Martin B., Turille G., De Marchi M., Kreuzer M., Berard J. (2019). Milk composition, but not cheese properties, are impaired the day after transhumance to alpine pastures. Int. Dairy J., 99: 104540.
- Koczura M., Bouchon M., Turille G., De Marchi M., Kreuzer M., Berard J., Martin B. (2020). Consequences of walking or transport by truck on milk yield and quality, as well as blood metabolites, in Holstein, Montbéliarde, and Valdostana dairy cows. J. Dairy Sci., 103: 3470–3478.
- Kühl S., Flach L., Gauly M. (2020). Economic assessment of small-scale mountain dairy farms in South Tyrol depending on feed intake and breed. Ital. J. Anim. Sci., 19: 41–50.
- Litwińczuk Z., Król J., Brodziak A., Barłowska J. (2011). Changes of protein content and its fractions in bovine milk from different breeds subject to somatic cell count. J. Dairy Sci., 94: 684–691.
- Magne M.A., Thénard V., Mihout S. (2016). Initial insights on the performances and management of dairy cattle herds combining two breeds with contrasting features. Animal, 10: 892–901.
- Manuelian C.L., Penasa M., Visentin G., Benedet A., Cassandro M., De Marchi M. (2019). Multi-breed herd approach to detect breed differences in composition and fatty acid profile of cow milk. Czech. J. Anim. Sci., 64: 11–16.
- Mattiello S., Battini M., Andreoli E., Barbieri S. (2011). Short communication: Breed differences affecting dairy cattle welfare in traditional alpine tie-stall husbandry systems. J. Dairy Sci., 94: 2403–2407.
- Mc Dermott A., Visentin G., De Marchi M., Berry D.P., Fenelon M.A., O’Connor P.M., Kenny O.A., Mc Parland S. (2016). Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics. J. Dairy Sci., 99: 3171–3182.
- Negussie E., Stradén I., Mäntysaari E.A. (2013). Genetic associations of test-day fat:protein ratio with milk yield, fertility, and udder health traits in Nordic Red cattle. J. Dairy Sci., 96: 1237–1250.
- Penasa M., Tiezzi F., Sturaro A., Cassandro M., De Marchi M. (2014). A comparison of the predicted coagulation characteristics and composition of milk from multi-breed herds of Holstein-Friesian, Brown Swiss and Simmental cows. Int. Dairy J., 35: 6–10.
- Perathoner G., Kasal A., Plitzner C. (2010). Stima del bilancio foraggero per l’Alto Adige. Quaderno Sozooalpino, 6: 111–122.
- Raboisson D., Albaaj A., Nonne G., Foucras G. (2017). High urea and pregnancy or conception in dairy cows: A meta-analysis to define the appropriate urea threshold. J. Dairy Sci., 100: 7581–7587.
- Rajala-Schultz P.J., Saville W.J.A. (2003). Sources of variation in milk urea nitrogen in Ohio dairy herds. J. Dairy Sci., 86: 1653–1661.
- Rasmussen B.M., Vessby B., Uusitupa M., Berglund L., Pedersen E., Riccardi G., Rivellese A.A., Tapsell L., Hermansen K. (2006). Effects of dietary saturated, monounsaturated, and n-3 fatty acids on blood pressure in healthy subjects. Am. J. Clin. Nutr., 83: 221–226.
- Rupp R., Boichard D. (2003). Genetics of resistance to mastitis in dairy cattle. Vet. Res., 34: 671–688.
- South Tyrolean Dairy Association. (2018). Annual activity report from the South Tyrolean Dairy Association. Accessed Feb. 15, 2020. https://www.suedtirolermilch.com/ueber-milch/sennereiverbandsuedtirol
- Stergiadis S., Bieber A., Franceschin E., Isensee A., Eyre M.D., Maurer V., Chatzidimitriou E., Cozzi G., Bapst B., Stewart G., Gordon A., Butler G. (2015). Impact of US Brown Swiss genetics on milk quality from low-input herds in Switzerland: Interactions with grazing intake and pasture type. Food Chem., 175: 609–618.
- Sturaro E., Marchiori E., Cocca G., Penasa M., Ramazin M., Bittante G. (2013). Dairy systems in mountainous areas: Farm animal biodiversity, milk production and destination, and land use. Livest. Sci., 158: 157–168.
- Vilas Boas D., Vercesi Filho A., Pereira M., Roma Junior L., El Faro L. (2017). Association between electrical conductivity and milk production traits in Dairy Gyr cows. J. Appl. Anim. Res., 45: 227–233.
- Visentin G., Mc Dermott A., Mc Parland S., Berry D.P., Kenny O.A., Brodkorb A., Fenelon M.A., De Marchi M. (2015). Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows. J. Dairy Sci., 98: 6620–6629.
- Visentin G., Penasa M., Gottardo P., Cassandro M., De Marchi M. (2016). Predictive ability of mid-infrared spectroscopy for major mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm. J. Dairy Sci., 99: 8137–8145.
- Visentin G., Penasa M., Niero G., Cassandro M., De Marchi M. (2018). Phenotypic characterization of major mineral composition predicted by mid-infrared spectroscopy in cow milk. Ital. J. Anim. Sci., 17: 549–556.
- Wang L., Manson J.E., Forman J.P., Gaziano J.M., Buring J.E., Sesso H.D. (2010). Dietary fatty acids and the risk of hypertension in middle-aged and older women. Hypertension, 56: 598–604.
- Wattiaux M.A., Nordheim E.V., Crump P. (2005). Statistical evaluation of factors and interactions affecting dairy herd improvement milk urea nitrogen in commercial Midwest dairy herds. J. Dairy Sci., 88: 3020–3035.