N C Friggens

发表

Technical and economic effects of an inline progesterone indicator in a dairy herd estimated by stochastic simulation.

N. Friggens, S Østergaard, N C Friggens, 2005, Theriogenology.

Improved detection of reproductive status in dairy cows using milk progesterone measurements.

T. Larsen, N. Friggens, N C Friggens, 2008, Reproduction in domestic animals = Zuchthygiene.

Lameness detection via leg-mounted accelerometers on dairy cows on four commercial farms.

L. Munksgaard, H. Erhard, N. Friggens, 2015, Animal : an international journal of animal bioscience.

Estimating degree of mastitis from time-series measurements in milk: a test of a model based on lactate dehydrogenase measurements.

T. Larsen, T. Larsen, N. Friggens, 2007, Journal of dairy science.

A stochastic model simulating pathogen-specific mastitis control in a dairy herd.

N. Friggens, I. Klaas, S Østergaard, 2005, Journal of dairy science.

Predicting risk of ketosis in dairy cows using in-line measurements of beta-hydroxybutyrate: a biological model.

K. Ingvartsen, N. Nielsen, N. Friggens, 2005, Journal of dairy science.

A model for detection of individual cow mastitis based on an indicator measured in milk.

T. Larsen, N. Friggens, N C Friggens, 2006, Journal of dairy science.

An attempt to detect oestrus from changes in Fourier transform infrared spectra of milk from dairy heifers.

P. W. Hansen, K. Ingvartsen, N. Friggens, 2001, Animal reproduction science.

Prediction of body lipid change in pregnancy and lactation.

Gerry C. Emmans, K. Ingvartsen, N. Friggens, 2004, Journal of dairy science.

Invited review: Body condition score and its association with dairy cow productivity, health, and welfare.

J R Roche, K. Stafford, M. Fisher, 2009, Journal of dairy science.

Quantifying degree of mastitis from common trends in a panel of indicators for mastitis in dairy cows.

N. Friggens, N C Friggens, S Højsgaard, 2010, Journal of dairy science.

Potential for improving description of bovine udder health status by combined analysis of milk parameters.

J. Jensen, P. Andersen, K. Ingvartsen, 2003, Journal of dairy science.

Towards a biological basis for predicting nutrient partitioning: the dairy cow as an example.

N. Friggens, N C Friggens, J. Newbold, 2007, Animal.

Advances in predicting nutrient partitioning in the dairy cow: recognizing the central role of genotype and its expression through time.

D Sauvant, P. Faverdin, D. Sauvant, 2013, Animal : an international journal of animal bioscience.

Factors affecting energy and nitrogen efficiency of dairy cows: a meta-analysis.

I J M de Boer, I. D. de Boer, N. Friggens, 2013, Journal of dairy science.

e-Cow: an animal model that predicts herbage intake, milk yield and live weight change in dairy cows grazing temperate pastures, with and without supplementary feeding.

J. Baudracco, N. López-Villalobos, N. Friggens, 2012, Animal : an international journal of animal bioscience.

On the use of milk composition measures to predict the energy balance of dairy cows.

N. Friggens, P Løvendahl, N C Friggens, 2007, Journal of dairy science.

Electrical conductivity of milk: ability to predict mastitis status.

H Hogeveen, H. Hogeveen, K. Sloth, 2004, Journal of dairy science.