Article
Agriculture, Dairy & Animal Science
Lorenzo Leso, Valentina Becciolini, Giuseppe Rossi, Stefano Camiciottoli, Matteo Barbari
Summary: This study aimed to validate a commercial collar-based sensor system for monitoring dairy cattle behavior, showing that the sensor was accurate in measuring feeding and ruminating time, but its precision needs improvement.
Article
Agriculture, Dairy & Animal Science
Liliana Fadul-Pacheco, Michael Liou, Douglas J. Reinemann, Victor E. Cabrera
Summary: Cows are social animals and understanding their social dynamics through social network analysis can help improve management and welfare. This study identified affinity pairs of cows that showed increased stress when separated, leading to higher milk production variability. The results suggest that social network analysis could be a useful tool for reducing milk yield variation and understanding the social dynamics of dairy cows.
Article
Agriculture, Dairy & Animal Science
B. Foris, L. G. Mangilli, J. M. C. Van Os, M. A. G. von Keyserlingk, J. A. Fregonesi, D. M. Weary
Summary: Cows sometimes defecate while lying down, especially when early in gestation or spending more time lying. Overstocking leads to higher stall use and displacement but does not increase defecating while recumbent frequency.
JOURNAL OF DAIRY SCIENCE
(2022)
Review
Agriculture, Dairy & Animal Science
Grzegorz Grodkowski, Marcin Golebiewski, Jan Slosarz, Kinga Grodkowska, Piotr Kostusiak, Tomasz Sakowski, Kamila Puppel
Summary: Consumers are increasingly choosing organic farming products because they believe that organic farms do not use pesticides or antibiotics and that animals are provided with the best living conditions. This review discusses the comparison between organic and conventional dairy cattle housing systems in terms of welfare assessment, breed selection, and product quality. It has been shown that cows kept in organic systems usually have better welfare compared to conventional breeding, but conventional farms can also provide better animal welfare through the use of pasture grazing. The taste of milk is affected by pasture feeding, but this depends on consumer preference.
Article
Agriculture, Dairy & Animal Science
Mahmoud H. Emam, Elise Shepley, Mourad M. Mahmoud, Megan Ruch, Sobhy Elmaghawry, Wafaa Abdelrazik, Ahmed M. Abdelaal, Brian A. Crooker, Luciano S. Caixeta
Summary: There is a growing interest in using behavioral indicators to identify and predict health disorders in dairy cattle, which can improve management and treatment strategies. Changes in prepartum behaviors such as total daily rumination (TDR), total daily activity (TDA), and dry matter intake (DMI) have been suggested as predictors for subclinical hypocalcemia (SCH) and hypomagnesemia (HYM) postpartum. However, our results indicate that these changes are not effective estimators of SCH and HYM status postpartum.
Article
Biophysics
G. Ranzato, I. Lora, B. Aernouts, I. Adriaens, F. Gottardo, G. Cozzi
Summary: This study investigated the behavioral responses of dairy cows during heat waves and found that heat stress leads to changes in cow behavior, including increased chewing and activity times, and decreased lying time. The use of high-frequency sensor data can assist farmers in identifying cows that require personalized interventions to alleviate heat stress.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Agriculture, Dairy & Animal Science
Mingming Jiang, Gibson Maswayi Alugongo, Jianxin Xiao, Congcong Li, Yulin Ma, Tingting Li, Zhijun Cao, Dasen Liu
Summary: The study showed that lower stocking density may enhance the lying and rumination behavior of periparturient Holstein cows, but it did not lead to improved productivity and metabolism.
Article
Multidisciplinary Sciences
Mahmoud Fadul, Luigi D'Andrea, Maher Alsaaod, Giuliano Borriello, Antonio Di Lori, Dimitri Stucki, Paolo Ciaramella, Adrian Steiner, Jacopo Guccione
Summary: The study aims to verify the usefulness of new intervals-based algorithms for clinical interpretation of animal behavior in dairy cows around calving period. Thirteen activities associated with feeding-ruminating-locomotion-behaviors of 42 adult Holstein-Friesian cows were continuously monitored for the week (wk) -2, wk -1 and wk +1 relative to calving (overall 30'340 min/animal). The study found that the new algorithms can contribute to monitoring the health of dairy cows around calving.
Review
Agriculture, Dairy & Animal Science
Cassandra B. Tucker, Margit Bak Jensen, Anne Marie de Passille, Laura Hanninen, Jeffrey Rushen
Summary: Lying down is crucial for dairy cow welfare, as cows are highly motivated to lie down and may exhibit indicators of frustration when unable to do so. Environmental factors and health conditions play a significant role in influencing lying time, and the implications on welfare remain complex and multifaceted. More research is needed to fully understand the relationship between lying behavior and animal welfare.
JOURNAL OF DAIRY SCIENCE
(2021)
Review
Agriculture, Dairy & Animal Science
J. M. Tonooka, E. Vasseur, M. Villettaz Robichaud
Summary: This article discusses the eliminative behaviors of dairy cattle, including frequencies and distributions over time and space. It also explores the factors that can affect these behaviors and methods for managing them. The available literature on these behaviors is limited, focusing mainly on daily frequencies and distributions. There are relationships between eliminative behaviors and the activity levels of both the animals and the people who manage them. The type of housing system plays a key role in determining where and when eliminations occur.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Weizheng Shen, Yalin Sun, Yu Zhang, Xiao Fu, Handan Hou, Shengli Kou, Yonggen Zhang
Summary: This study proposes a real-time method for monitoring dairy cow ruminating behavior based on edge computing, using a self-designed edge device for data collection and processing. By uploading data to the cloud and aggregating it, this system significantly reduces the amount of data transmitted while achieving good classification performance.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Agriculture, Dairy & Animal Science
V Boyer, E. Edwards, M. F. Guiso, S. Adam, P. Krawczel, A. M. de Passille, E. Vasseur
Summary: This study compared the effects of different width tiestalls on the lying behavior of lactating dairy cows, finding that cows in double stalls extended their hindlimbs more, intruded neighboring stalls less, and positioned their hindlimbs inside their own stall more often. Double stalls also reduced the frequency of contact with stall hardware.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
P. R. Hut, J. Scheurwater, M. Nielen, J. van den Broek, M. M. Hostens
Summary: This study examines the effects of higher ambient temperatures on the daily behavior of dairy cows in a maritime and temperate climate. The results show that dairy cows in these climates begin to adapt their behavior at a relatively low mean environmental temperature, showing a decrease in lying and eating time and an increase in standing time. The study also finds a decrease in rumination time.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Shangru Li, Chengrui Zhang, Ruixue Wang, Jiamei Song, Hangshu Xin, Yonggen Zhang, Yukun Sun
Summary: In this study, a feed intake monitoring system for dairy cows was used to establish five feed intake prediction models. The results showed that these models can accurately predict the feed intake of dairy cows.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Veterinary Sciences
Yongpeng Fu, Marcos G. Colazo, Jeroen De Buck
Summary: Hypocalcemia has detrimental impacts on dairy cattle, but there is currently no cow-side test available for total bovine blood calcium detection. In this study, a novel total calcium test was developed using a modified split trehalase complementation assay. The test showed high sensitivity and can be used for convenient and high throughput laboratory testing of bovine serum samples.
RESEARCH IN VETERINARY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Sara Pacheco-Pappenheim, Sine Yener, Kelly Nichols, Jan Dijkstra, Kasper Hettinga, Hein J. F. van Valenberg
Summary: This study analyzed the effects of fat and protein supplementation on milk fat composition, structure, and solid fat content in dairy cattle. The results showed that fat supplementation had more significant changes on milk fat TAG composition and increased the solid fat content. These alterations may impact the absorption of fat and minerals in infant milk-based products and the processing of milk fat.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
L. A. Crompton, L. A. McKnight, C. K. Reynolds, J. L. Ellis, J. Dijkstra, J. France
Summary: This paper investigates two methods of solving the amino acid tracer model and contrasts their solutions. The study shows that solving the model as two four-pool submodels is preferable to the integrated eight-pool model. Experimental data indicate that high and low protein diets have an impact on the partitioning of amino acids in the mammary gland.
JOURNAL OF AGRICULTURAL SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Sanne van Gastelen, Jan Dijkstra, Jeroen M. L. Heck, Maik Kindermann, Arie Klop, Rudi de Mol, Dennis Rijnders, Nicola Walker, Andre Bannink
Summary: The objective of this study was to investigate the potential of 3-Nitrooxypropanol (3-NOP) in reducing CH4 emissions in dairy cattle and whether it was affected by the composition of the basal diet. The results showed that supplementing 3-NOP in a corn silage-based diet was more effective in reducing CH4 emissions compared to a grass silage-based diet.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Multidisciplinary Sciences
Claudia Arndt, Alexander N. Hristov, William J. Price, Shelby C. McClelland, Amalia M. Pelaez, Sergio F. Cueva, Joonpyo Oh, Jan Dijkstra, Andre Bannink, Ali R. Bayat, Les A. Crompton, Maguy A. Eugene, Dolapo Enahoro, Ermias Kebreab, Michael Kreuzer, Mark McGee, Cecile Martin, Charles J. Newbold, Christopher K. Reynolds, Angela Schwarm, Kevin J. Shingfield, Jolien B. Veneman, David R. Yanez-Ruiz, Zhongtang Yu
Summary: To meet the 1.5 degrees C target, strategies to reduce methane emissions from ruminants must be implemented, including decreasing CH4 per unit meat or milk and decreasing absolute CH4 emissions. The adoption of the most effective strategies could achieve the goal by 2030, but not by 2050.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Agriculture, Dairy & Animal Science
B. Kuhla, R. J. Dewhurst, J. Dijkstra, H. J. Ferguson, D. Humphries, E. Kennedy, P. Lund, C. Martin, L. Munksgaard, M. O'Donovan, C. K. Reynolds, M. Terre, I. Veissier, R. Baumont
Article
Agriculture, Multidisciplinary
L. A. Crompton, L. L. McKnight, C. K. Reynolds, J. A. N. Mills, J. L. Ellis, M. D. Hanigan, J. Dijkstra, B. J. Bequette, A. Bannink, J. France
Summary: An isotope dilution model is constructed to partition the uptake of phenylalanine and tyrosine by the liver of lactating dairy cows. The model allows calculation of uptake rate, hydroxylation, synthesis, and degradation of protein. Measurement of plasma flow rate and amino acid concentrations, along with isotopic enrichments, are required for model solution.
JOURNAL OF AGRICULTURAL SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
A. Bougouin, A. Hristov, J. Dijkstra, M. J. Aguerre, S. Ahvenjarvi, C. Arndt, A. Bannink, A. R. Bayat, C. Benchaar, T. Boland, W. E. Brown, L. A. Crompton, F. Dehareng, I. Dufrasne, M. Eugene, E. Froidmont, S. van Gastelen, P. C. Garnsworthy, A. Halmemies-Beauchet-Filleau, S. Herremans, P. Huhtanen, M. Johansen, A. Kidane, M. Kreuzer, B. Kuhla, F. Lessire, P. Lund, E. M. K. Minnee, C. Munoz, M. Niu, P. Noziere, D. Pacheco, E. Prestlokken, C. K. Reynolds, A. Schwarm, J. W. Spek, M. Terranova, A. Vanhatalo, M. A. Wattiaux, M. R. Weisbjerg, D. R. Yanez-Ruiz, Z. Yu, E. Kebreab
Summary: This study aimed to predict nitrogen excretion in feces and urine of lactating dairy cows by collecting data from different continents. The study found that simple models based on dry matter intake or nitrogen intake performed well in predicting fecal nitrogen excretion, while simple models based on milk urea nitrogen and nitrogen intake performed better in predicting urinary nitrogen excretion. In the absence of intake data, complex equations using easily measured variables can be used to predict fecal, urinary, or total manure nitrogen excretion, but these equations have lower performance.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Rainer Rauch, Kelly Nichols, Jean -Baptiste Daniel, Javier Martin-Tereso, Jan Dijkstra
Summary: This study aimed to compare the effects of static and oscillating dietary protein feeds on nitrogen use efficiency and milk production performance in lactating dairy cows. The results showed that oscillating feeds increased urinary nitrogen excretion in lactating dairy cows, but had no significant effect on milk production performance or nitrogen use efficiency.
Article
Green & Sustainable Science & Technology
Alejandro Belanche, Alexander N. Hristov, Henk J. van Lingen, Stuart E. Denman, Ermias Kebreab, Angela Schwarm, Michael Kreuzer, Mutian Niu, Maguy Eugene, Vincent Niderkorn, Cecile Martin, Harry Archimede, Mark McGee, Christopher K. Reynolds, Les A. Crompton, Ali Reza Bayat, Zhongtang Yu, Andre Bannink, Jan Dijkstra, Alex Chaves, Harry Clark, Stefan Muetzel, Vibeke Lind, Jon M. Moorby, John A. Rooke, Aurelie Aubry, Walter Antezana, Min Wang, Roger Hegarty, V Hutton Oddy, Julian Hill, Philip E. Vercoe, Jean Victor Savian, Adibe Luiz Abdalla, Yosra A. Soltan, Alda Lucia Gomes Monteiro, Juan Carlos Ku-Vera, Gustavo Jaurena, Carlos A. Gomez-Bravo, Olga L. Mayorga, Guilhermo F. S. Congio, David R. Yanez-Ruiz
Summary: This study developed empirical models to predict enteric methane emissions from sheep using a global database. The models showed that including variables such as body weight and organic matter digestibility improved prediction accuracy. Age-specific equations were also found to enhance prediction performance. The study concluded that predicting sheep methane production requires considering variables such as dry matter intake, body weight, and rumen propionate proportion, and appropriate universal equations can be used across different diets and climatic conditions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agriculture, Dairy & Animal Science
Ermias Kebreab, Andre Bannink, Eleanor May Pressman, Nicola Walker, Alexios Karagiannis, Sanne van Gastelen, Jan Dijkstra
Summary: This study aimed to explain the variability in the mitigating effect of 3-NOP and investigate the interaction between diet composition and 3-NOP dose using meta-analytical approaches. The results showed that models including only the 3-NOP dose had a significant reduction effect on methane production, yield, and intensity. However, the reduction efficiency was lower for diets with higher neutral detergent fiber content. Updating meta-analyses with new data improved model performance.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Chemistry, Applied
N. Arita-Merino, S. Yener, H. J. F. van Valenberg, J. Dijkstra, S. van Gastelen, E. Scholten, D. A. Tzompa-Sosa
Summary: This study aimed to investigate the effects of dietary linseed oil (LSO) supplementation and DGAT1 K232A (DGAT1) polymorphism on the composition and crystallization of bovine milk fat. The results showed that LSO supplementation increased unsaturated triacylglycerols and reduced saturated triacylglycerols in the milk fat. The DGAT1 KK genotype was associated with higher levels of odd-chain saturated triacylglycerols and increased high-melting fraction.
Article
Agriculture, Dairy & Animal Science
Henk J. van Lingen, James G. Fadel, Ermias Kebreab, Andre Bannink, Jan Dijkstra, Sanne van Gastelen
Summary: This study evaluated the impact of different sampling schemes on the estimated daily H2 and CH4 emissions from dairy cattle. Sampling every 0.5 hours was needed for accurate estimation of daily H2 emissions, while less frequent sampling intervals were sufficient for CH4 emissions. The study highlights the importance of accurate sampling schemes for reliable estimation of emissions from cattle.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
S. van Gastelen, J. Dijkstra, W. J. J. Gerrits, M. S. Gilbert, A. Bannink
Summary: Previous research has shown that fermentation plays a significant role in the disappearance of carbohydrates in the small intestine. The low energy efficiency of starch fermentation compared to enzymatic digestion highlights the importance of quantifying postruminal starch fermentation in dairy cows.
Article
Agriculture, Dairy & Animal Science
W. Muizelaar, G. van Duinkerken, Z. Khan, J. Dijkstra
Summary: This study aimed to determine the effect of Chondrus crispus, Saccharina latissima, and Fucus serratus on lactational performance and enteric methane production in dairy cattle. The results showed that Saccharina latissima increased milk yield and lactose content, but did not affect methane emissions.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Fang Wang, Jurgen van Baal, Lu Ma, Xuejun Gao, Jan Dijkstra, Dengpan Bu
Summary: This study investigated the role of MRCK alpha in milk protein and fat production in dairy cows and found a positive correlation between MRCK alpha expression and beta-casein levels in the mammary gland. Silencing MRCK alpha in bovine mammary epithelial cells led to a decrease in basal beta-casein and cell growth, while overexpression had the opposite effect. These findings suggest that MRCK alpha plays an important role in mammary tissue development.