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Your search keyword '"Hogeveen, Henk"' showing total 386 results
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386 results on '"Hogeveen, Henk"'

1. Economic impacts of constrained replacement heifer supply in dairy herds

Author

Kulkarni, Pranav S, Haijema, Rene, Hogeveen, Henk, Steeneveld, Wilma, and Mourits, Monique CM

Subjects
Agricultural, Veterinary and Food Sciences, Animal Production, Heifer supply, Cow replacement, Multi-component optimization, Retention pay-off, Inter-cow comparison, Environmental Sciences, Agricultural and Veterinary Sciences, Agronomy & Agriculture, Agricultural, veterinary and food sciences, Environmental sciences
Published
2024

18. Behavioral Adaptations in Tropical Dairy Cows: Insights into Calving Day Predictions.

Author

Raza, Aqeel, Abbas, Kumail, Swangchan-Uthai, Theerawat, Hogeveen, Henk, and Inchaisri, Chaidate

Subjects
MACHINE learning, DAIRY cattle, LACTATION in cattle, ANIMAL welfare, TROPICAL climate, RANDOM forest algorithms
Abstract

Simple Summary: This study investigated the challenge of monitoring the activity movement pattern of dairy cows during the transition period and forecasted the calving day on tropical dairy farms. This study used activity behavioral data from 298 before-calving and 347 after-calving Holstein Friesian cows, as well as machine learning models for predicting birth. This study demonstrates that the cows giving birth for the first time had a shorter rest period and an increased activity pattern. Additionally, this study found that machine learning models can predict the day of birth. These findings could help farmers improve management and enhance animal welfare during this critical period. This study examined changes in the activity patterns of tropical dairy cows during the transition period to assess their potential for predicting calving days. This study used the AfiTag-II biosensor to monitor activity, rest time, rest per bout, and restlessness ratio in 298 prepartum and 347 postpartum Holstein Friesian cows across three lactation groups (1, 2, and ≥3). The data were analyzed using generalized linear mixed models in SPSS, and five machine learning models, including random forest, decision tree, gradient boosting, Naïve Bayes, and neural networks, were used to predict the calving day, with their performance evaluated via ROC curves and AUC metrics. For all lactations, activity levels peak on the calving day, followed by a gradual return to prepartum levels within two weeks. First-lactation cows displayed the shortest rest duration, with a prepartum rest time of 568.8 ± 5.4 (mean ± SE), which is significantly lower than higher-lactation animals. The random forest and gradient boosting displayed an effective performance, achieving AUCs of 85% and 83%, respectively. These results indicate that temporal changes in activity behavior have the potential to be a useful indicator for calving day prediction, particularly in tropical climates where seasonal variations can obscure traditional prepartum indicators. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Effect of bovine subclinical mastitis on milk production and economic performance of Brazilian dairy farms

Author

Goncalves, Juliano Leonel, primary, Freu, Gustavo, additional, Garcia, Breno Luís Nery, additional, Barcelos, Melina Melo, additional, Alves, Bruna Gomes, additional, Leite, Renata de Freitas, additional, Monteiro, Camylla Pedrosa, additional, Martins, Cristian Marlon de Magalhães Rodrigues, additional, Tomazi, Tiago, additional, Hogeveen, Henk, additional, and Santos, Marcos Veiga dos, additional

Published
2023
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31. Editorial: Proceedings of the 5th ISESSAH conference 2021: economics and social sciences applied to livestock and aquaculture health

Author

Indrawan, Dikky, primary, Mohd Nor, Norhariani, additional, Vosough Ahmadi, Bouda, additional, Raboisson, Didier, additional, Pendell, Dustin L., additional, Buda, Mark, additional, Kamarulzaman, Nitty Hirawaty, additional, Steeneveld, Wilma, additional, Rushton, Jonathan, additional, and Hogeveen, Henk, additional

Published
2023
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46. Dutch dairy farmers' perspectives on culling reasons and strategies

Author

Kulkarni, Pranav Shrikant, Mourits, Monique (MCM), Slob, Jasmijn, Veldhuis, Anouk (AMB), Nielen, Mirjam, Hogeveen, Henk, van Schaik, Gerdien, and Steeneveld, Wilma

Subjects
culling, longevity, dairy, reasons, survey, intentions
Abstract

Supplementary information/ material for manuscript titled "Dutch dairy farmers’ perspectives on culling reasons and strategies"

Published
2022
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50. When in Doubt ... Be Indecisive

Author

van der Gaag, Linda C., Renooij, Silja, Steeneveld, Wilma, Hogeveen, Henk, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Sossai, Claudio, editor, and Chemello, Gaetano, editor

Published
2009
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