Research Output 2000 2020

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2020

Predicting Nitrogen Excretion of Dairy Cattle with Machine Learning

Mollenhorst, H., Bouzembrak, Y., de Haan, M., Marvin, H. J. P., Veerkamp, R. F. & Kamphuis, C., 29 Jan 2020, International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen: Springer, p. 132-138 (Environmental Software Systems. Data Science in Action; vol. 554).

Research output: Chapter in Book/Report/Conference proceedingChapter

artificial intelligence
dairy cattle
excretion
nitrogen
farms

Real-Time Visualization of Methane Emission at Commercial Dairy Farms

Schokker, D., Mollenhorst, H., Seigers, G., De Haas, Y., Veerkamp, R. F. & Kamphuis, C., 29 Jan 2020, International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen: Springer, p. 194-200 (Environmental Software Systems. Data Science in Action; vol. 554).

Research output: Chapter in Book/Report/Conference proceedingChapter

dairy farming
methane
greenhouses
infrastructure
farms
2019

Advances in dairy cattle breeding to improve longevity

Veerkamp, R. & van Pelt, M., 24 Dec 2019, Advances in breeding of dairy cattle. van der Werf, J. & Pryce, J. (eds.). Burleigh Dodds Science Publishing Limited, p. 337-354

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

cattle breeding
dairy cattle
bulls
animal breeders
greenhouse gases

Genetic diversity in dairy cattle: variation within and across breeds

Oldenbroek, J. K., 23 Dec 2019, Advances in breeding of dairy cattle. van der Werf, J. & Pryce, J. (eds.). Burleigh Dodds Science Publishing Limited, 30 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

dairy cattle
breeds
genetic variation
artificial selection
gene banks

Genetic solutions to reduce injurious pecking in laying hens

Ellen, E. D. & Bijma, P. (ed.), 15 May 2019, Poultry feathers and skin: the poultry integument in health and welfare. Olukosi, O. A., Olori, V. E. & Helmbrecht, A. (eds.). CABI, p. 47-56

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

feather pecking
pecking
laying hens
marker-assisted selection
selection intensity
2017

Genetic diversity issues in animal populations in the genomic era

Woolliams, J. A. & Oldenbroek, J. K., 2017, Genomic management of animal genetic diversity. Oldenbroek, K. (ed.). Wageningen Academic Publishers, p. 13-47

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

genetic variation
breeds
animals
DNA
genetic disorders

Genetic selection for dairy cow welfare and resilience to climate change

Pryce, J. & de Haas, Y., 2017, Achieving sustainable production of milk: Volume 3: Dairy herd management and welfare. Webster, J. (ed.). Burleigh Dodds Science Publishing Limited

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
breeding value
dairy cows
climate change
milk production
profitability

Het celgetal en andere mastitisindicatoren

Lam, T., Sandman-Berends, I., Kamphuis, C., Schukken, Y. & de Vliegher, S., 2017, Handboek Uiergezondheid Rund. Lam, T. & De Vliegher, S. (eds.). Nijmegen: Communication In Practice, p. 71-86

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

Management of genetic diversity including genomic selection in small in vivo populations

Meuwissen, T. H. E. & Oldenbroek, J. K., 2017, Genomic management of animal genetic diversity. Oldenbroek, K. (ed.). Wageningen Academic Publishers, p. 139-154

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Principles to determine the economic value of sensors technologies used on dairy farms

van der Voort, M., Hogeveen, H. & Kamphuis, C., 2017, Large Dairy Herd Management. Beede, D. K. (ed.). 3rd ed. ADSA, p. 1293-1303 10 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Role of NGOs in system innovation towards animal friendly pork production in the Netherlands

Buurma, J. S., Hoes, A. C., de Greef, K. H. & Beekman, V., 2017, AgroEcological Transitions: Changes and Breakthroughs in the Making. Elzen, B., Augustyn, A. M., Barbier, M. & van Mierlo, B. (eds.). Wageningen University & Research, p. 162-175

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Open Access
1 Citation (Scopus)

Steroid Hormones and Female Energy Balance: Relation to Offspring Primary Sex Ratio

Aslam, M. L. & Woelders, H., 2017, Egg Innovations and Strategies for Improvement. Hester, P. Y. (ed.). Academic Press, p. 47-54

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

steroid hormones
energy balance
hens
sex ratio
egg masses
2016

Development of an investment model for automated mastitis detection systems

Eastwood, C. R., DeVeer, J., Neal, M., De la Rue, B. T. & Kamphuis, C., 2016, Precision Dairy Farming 2016. Kamphuis, C. & Steeneveld, W. (eds.). Wageningen: Wageningen Academic Publishers, p. 439-444

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Effects of a free-stall barn layout on the efficiency of Dutch dairy farms with an automatic milking systems

Heurkens, D., Kamphuis, C. & van der Kamp, A. J., 2016, Precision Dairy Farming 2016. Kamphuis, C. & Steeneveld, W. (eds.). Wageningen: Wageningen Academic Publishers, p. 157-162

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

2015

Conservation: The state of the art

Blackburn, H., Boettcher, P. & Oldenbroek, J. K., 2015, The Second Report on the State of the World's Animal Genetic Resources for Food and Agriculture. Scherf, B. D. & Pilling, D. (eds.). FAO, p. 497-527 (Assessments FAO Comission on Genetic Resources for Food and Agriculture).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
1 Citation (Scopus)

Genetic improvement of percids

Blonk, R. J. W. & Komen, J., 2015, Biology and Culture of Percid Fishes: Principles and Practices. Kestemont, P., Dabrowski, K. & Summerfelt, R. C. (eds.). Springer Netherlands, Vol. part IV. p. 699-722

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

percid
genetic improvement
Breeding
breeding
selection methods

Residual feed intake and breeding approaches for enteric methane mitigation

Berry, D. P., Lassen, J. & de Haas, Y., 2015, Livestock production and climate change. United kingdom: CABI, p. 273-291

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

methane
feed intake
breeding
animal performance
genetic variation

The potential of using sensor data to predict the moment of calving for dairy cows

Rutten, C. J., Steeneveld, W., Kamphuis, C., Huijps, K. & Hogeveen, H., 2015, Precision Livestock Farming Applications. Halachmi, I. (ed.). Wageningen: Wageningen Academic Publishers, p. 161-167

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

sensors (equipment)
calving
dairy cows
cows
cameras
2014

Systems biology - applications in intestinal health

Schokker, D. & Smits, M. A., 2014, Intestinal health, Key to maximise growth performance in livestock. Niewold, T. (ed.). Wageningen: Wageningen Academic, p. 253-273 276 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

livestock production
Biological Sciences
laws and regulations
food safety
feed formulation
2012

A Differential Equation Model to Investigate the Dynamics of the Bovine Estrous Cycle

Boer, H. M. T., Stotzel, C., Roblitz, S. & Woelders, H., 2012, Advances in Systems Biology, Advances in Experimental Medicine and Biology. Goryanin, I. I. & Goryachev, A. B. (eds.). New York, p. 597-605 678 p. (Advances in Systems Biology; no. 736).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

estrous cycle
cattle
mechanistic models
model validation
corpus luteum

Developing biomarkers to improve, detect and monitor high pork quality

te Pas, M. F. W. & Hoekman, A. J. W., 2012, Agricultural Research Updates. Hendriks, B. P. (ed.). p. 65-81 155 p. (Agricultural Research Updates; no. 3).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Proteomics biomarkers for pork quality

te Pas, M. F. W., Pierzchala, M., Keuning, E., Crump, R. E., Boeren, J. A., Hortos, M., Gisbert, M., Diestre, A. & Kruijt, L., 2012, Farm animal proteomics. Rodrigues, P., Eckersall, D. & de |Almeida, A. (eds.). Wageningen: Wageningen Academic Publishers, p. 194-198 208 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2011
1 Citation (Scopus)

From Visual Biological Models Toward Mathematical Models of the Biology of Complex Traits

te Pas, M. F. W., Hoekman, A. J. W. & Hulsegge, B., 2011, System Biology and Livestock Science. John Wiley and Sons, p. 137-160 332 p.

Research output: Chapter in Book/Report/Conference proceedingChapter