Attività svolta

Desidero ricevere una copia cartacea
Informativa sulla privacy
Iscrizione alla newsletter

Precision feeding






1-AA. VV. Il mercato del latte. (a cura di Daniele Rama) SMEA – Università Cattolica del S. Cuore, Cremona, Italy, 2018.


2-Abeni F. Alimentazione di precisione, cosa serve per attuarla. L’Informatore Agrario, 2018; vol. 74 (36 Suppl Stalle da latte): pp. 24-28.


3-Abeni F., Petrera F., Galli A. A survey of Italian dairy farmers’ propensity for precision livestock farming tools. Animals, 2019; vol. 9: pp. 202.


4-Akinyele I.O., Spahr S.L. Stage of lactation as a criterion for switching cows from one complete feed to another during early lactation. J. Dairy Sci., 1975; vol. 58: pp. 917-921.


5-Albright J.L. Feeding behavior of dairy cattle. J. Dairy Sci., 1993; vol. 76: pp. 485-498.


6-Britt J.S., Thomas R.C., Speer N.C., Hall M.B. Efficiency of converting nutrient dry matter to milk in Holstein herds. J. Dairy Sci., 2003; vol. 86: pp. 3796-3801.


7-Calamari L. Precision feeding. Ital. J. Anim. Sci., 2017; vol. 16 (s1): 4-5.


8-Castillo A.R., Kebreab E., Beever D.E., Barbi J.H., Sutton J.D., Kirby H.C., France J. The effect of protein supplementation of nitrogen utilization in lactating dairy cows fed grass silage diets. J. Anim. Sci., 2001; vol. 79: pp. 247-253.


9-Cerosaletti P.E., Fox D.G., Chase L.E. Phosphorus reduction through precision feeding of dairy cattle. J. Dairy Sci., 2004; vol. 87: pp. 2314-2323.


10-Hall M.B., Mertens D.R. A 100-Year Review: Carbohydrates—Characterization, digestion, and utilization. J. Dairy Sci., 2017; vol. 100: pp. 10078-10093.


11-Henriksen J.C.S., Weisbjerg M.R., Løvendahl P., Kristensen T., Munksgaard L. Effects of an individual cow concentrate strategy on production and behavior. J. Dairy Sci., 2019; vol. 102: pp. 2155-2172.


12-Hogeveen H., Varner M.A., Brée D.S., Dill D.E., Noordhuizen-Stassen E.N., Brand A. Knowledge representation methods for dairy decision support systems. J. Dairy Sci., 1994; vol. 77: pp. 3704-3715.


13-Hutjens M.F. Benchmarking your feed efficiency, feed costs, and income over feed cost. WCDS Advances in Dairy Technology, 2010; vol. 22: pp. 3-10.


14-Kertz A.F. Variability in delivery of nutrients to lactating dairy cows. J. Dairy Sci., 1998; vol. 81: pp. 3075-3084.


15-McGilliard M.L., Swisher J.M., James R.E. Grouping lactating cows by nutritional requirements for feeding. J. Dairy Sci., 1983; vol. 66: pp. 1084-1093.


16-Miller-Cushon E.K., DeVries T.J. Feed sorting in dairy cattle: Causes, consequences, and management. J. Dairy Sci., 2017: vol. 100: pp. 4172-4183.


17-Pietersma D., Lacroix R., Wade K.M. A framework for the development of computerized management and control systems for use in dairy farming. J. Dairy Sci., 1998; vol. 81: pp. 2962-2972.


18-Place S.E., Mitloehner F.M. Invited review: Contemporary environmental issues: A review of the dairy industry’s role in climate change and air quality and the potential of mitigation through improved production efficiency. J. Dairy Sci., 2010; vol. 93: pp. 3407-3416.


19-Schingoethe D.J. A 100-Year Review: Total mixed ration feeding of dairy cows. J. Dairy Sci., 2017; vol. 100: pp. 10143-10150.


20-St-Pierre N.R., Cobanov B. A model to determine the optimal sampling schedule of diet components. J. Dairy Sci., 2007; vol. 90: pp. 5383-5394.


21-St-Pierre N.R., Thraen C.S Animal grouping strategies, sources of variation, and economic factors affecting nutrient balance on dairy farms. J. Anim. Sci., 1999; vol. 77 (Suppl. 2): pp. 72-83.


22-Trillo, Y., Lago A., Silva-del-Río N. Deviation from the formulated target weight of ingredients loaded into high milk yield cow recipes on California dairies. J. Dairy Sci., 2016; vol. 99: pp. 5866-5878.


23-Tylutki T.P., Fox D.G., Durbal V.M., Tedeschi L.O., Russell J.B., Van Amburgh M.E., Overton T.R., Chase L.E., Pell A.N. Cornell net carbohydrate and protein system: A model for precision feeding of dairy cattle. Anim. Feed Sci. Technol., 2008; vol. 143: pp. 174-202.


24-White R.R., Capper J.L. Precision diet formulation to improve performance and profitability across various climates: Modeling the implications of increasing the formulation frequency of dairy cattle diets. J. Dairy Sci., 2014; vol. 97: pp. 1563-1577.


25-Wolf C.A. Understanding the milk-to-feed price ratio as a proxy for dairy farm profitability. J. Dairy Sci., 2010; vol. 93: pp. 4942-4948.


26-Wu Y., Liang D., Shaver R.D., Cabrera V.E. An income over feed cost nutritional grouping strategy. J. Dairy Sci., 2019; vol. 102: pp. 4682-4693.





Abbonati per accedere

Dal web internazionale

L’inseminazione artificiale nei maiali oggi

L’uso dell’inseminazione artificiale (AI) per i suini da riproduzione è stato fondamentale per facilitare i miglioramenti globali in termini di fertilità, genetica, lavoro e salute della mandria.


Formazione a distanza abbinata a SUMMA



Formazione Settore Agro-Zootecnico