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Hurtaud C, Bernard L, Rau A, Cebo C. Impact of milking interval and time on milk spontaneous lipolysis and composition in dairy cows. J Dairy Sci 2024:S0022-0302(24)01084-1. [PMID: 39216518 DOI: 10.3168/jds.2024-24958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/25/2024] [Indexed: 09/04/2024]
Abstract
Milk lipolysis is defined as the hydrolysis of triglycerides, the major component of milk fat, resulting in the release of short-chain fatty acids (FA) responsible for rancid flavor and partial glycerides that impair functional properties such as foaming and creaming abilities. Milk lipolysis is a complex phenomenon that depends on both animal parameters and breeding factors. Milk spontaneous lipolysis is known to be higher in milk from evening milkings than from morning milkings. This may be related to the longer length of overnight milking intervals or to the nycthemeral cycle. In this experiment, our objective was thus to study the impact of both milking intervals and time of day on milk spontaneous lipolysis in twice-daily-milking systems with one of 3 milking intervals: Short Day - Long Night (SD-LN, 6.30 a.m. and 4.30 p.m.,); Long Day - Short Night (LD-SN, 6:30 a.m. and 8:30 p.m.,); and Balanced Day and Night (BDN, 6:30 a.m. and 6:30 p.m.,). To achieve this goal, 21 multiparous dairy cows in mid-lactation were used in a 3 × 3 Latin square design over 3 periods. The experiment lasted 5 weeks, corresponding to 3 experimental periods of 6 d alternating with 8 d of milking with conventional hours (morning-evening gap of 10 h). We confirmed that milk spontaneous lipolysis was influenced by milking interval, but not the milking time. Indeed, we observed more lipolysis in SD-LN evening milk (+0.20 mEq/100 g fat) and LD-SN morning milk (+0.22 mEq/100 g fat), both of which corresponded to a 10 h interval between successive milkings. High lipolysis milk came from cows that produced less milk with a higher milk fat content. No significant difference between milkings was observed for BDN. Milk protein, total P and citrate contents increased according to the duration of mammary gland storage of milk (from 10 to 14 h). There was no effect of milking intervals on milk fat globule diameter. The milk Na+/K+ ratio, indicating an opening of tight junctions in the mammary gland, increased only in evening milkings with BDN and LD-SN. In conclusion, we found that the effect of milking intervals on lipolysis is stronger than that of the nycthemeral cycle.
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Affiliation(s)
- C Hurtaud
- PEGASE, INRAE, Institut Agro, 35590, Saint-Gilles, France.
| | - L Bernard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genes-Champanelle, France
| | - A Rau
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - C Cebo
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
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Raza A, Abbas K, Swangchan-Uthai T, Hogeveen H, Inchaisri C. Behavioral Adaptations in Tropical Dairy Cows: Insights into Calving Day Predictions. Animals (Basel) 2024; 14:1834. [PMID: 38929452 PMCID: PMC11201252 DOI: 10.3390/ani14121834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/07/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
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.
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Affiliation(s)
- Aqeel Raza
- International Graduate Program of Veterinary Science and Technology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10440, Thailand; (A.R.); (K.A.)
- Research Unit of Data Innovation for Livestock, Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kumail Abbas
- International Graduate Program of Veterinary Science and Technology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10440, Thailand; (A.R.); (K.A.)
- Research Unit of Data Innovation for Livestock, Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Theerawat Swangchan-Uthai
- CU-Animal Fertility Research Unit, Department of Obstetrics, Gynaecology, and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand;
| | - Henk Hogeveen
- Business Economics Group, Wageningen University and Research, 6706KN Wageningen, The Netherlands;
| | - Chaidate Inchaisri
- Research Unit of Data Innovation for Livestock, Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
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Messeri A, Mancini M, Bozzi R, Parrini S, Sirtori F, Morabito M, Crisci A, Messeri G, Ortolani A, Gozzini B, Orlandini S, Fibbi L, Cristofori S, Grifoni D. Temperature-humidity index monitoring during two summer seasons in dairy cow sheds in Mugello (Tuscany). INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1555-1567. [PMID: 37526764 PMCID: PMC10457251 DOI: 10.1007/s00484-023-02510-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 05/22/2023] [Accepted: 06/21/2023] [Indexed: 08/02/2023]
Abstract
Many studies have reported that the impact of high temperatures affects physiology, welfare, health, and productivity of farm animals, and among these, the dairy cattle farming is one of the livestock sectors that suffers the greatest effects. The temperature-humidity index (THI) represents the state of the art in the evaluation of heat stress conditions in dairy cattle but often its measurement is not carried out in sheds. For this reason, the aim of this study was the monitoring of the THI in three dairy cattle farms in Mugello (Tuscany) to understand its influence on dairy cows. THI values were calculated using meteorological data from direct observation in sheds and outdoor environments. Data relating to the animal's behavior were collected using radio collars. The Pearson test and Mann-Kendall test were used for statistical analysis. The results highlighted a significant (P < 0.001) upward trend in THImax during the last 30 years both in Low Mugello (+ 1.1 every 10 years) and in High Mugello (+ 0.9 every 10 years). In Low Mugello sheds, during the period 2020-2022, more than 70% of daytime hours during the summer period were characterized by heat risk conditions (THI > 72) for livestock. On average the animals showed a significant (P < 0.001) decrease in time spent to feeding and rumination, both during the day and the night, with a significant (P < 0.001) increase in inactivity. This study fits into the growing demand for knowledge of the micro-climatic conditions within farms in order to support resilience actions for protecting both animal welfare and farm productivity from the effects of climate change. This could also be carried out thanks to estimation models which, based on the meteorological conditions forecast, could implement the thermal stress indicator (THI) directly from the high-resolution meteorological model, allowing to get a prediction of the farm's potential productivity loss based on the expected THI.
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Affiliation(s)
- Alessandro Messeri
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy.
- Fondazione per il Clima e la Sostenibilità, Via G. Caproni, 50146, Florence, Italy.
- Associazione Meteo Professionisti (AMPRO), via Francesco Morandini 30, 00142, Roma, Italy.
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy.
| | - Marco Mancini
- Fondazione per il Clima e la Sostenibilità, Via G. Caproni, 50146, Florence, Italy
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy
| | - Riccardo Bozzi
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy
| | - Silvia Parrini
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy
| | - Francesco Sirtori
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy
| | - Marco Morabito
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Alfonso Crisci
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Gianni Messeri
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Alberto Ortolani
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Bernardo Gozzini
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Simone Orlandini
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy
| | - Luca Fibbi
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
| | - Simone Cristofori
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
| | - Daniele Grifoni
- LaMMA Consortium-Laboratory of Monitoring and Environmental Modelling for Sustainable Development, 50019 Sesto Fiorentino, Florence, Italy
- Institute of Bioeconomy, National Research Council (IBE-CNR), 50019, Florence, Italy
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Gaworski M. Behavior of Cows in the Lying Area When the Exit Gates in the Pens Are Opened: How Many Cows Are Forced to Get Up to Go to the Milking Parlor? Animals (Basel) 2023; 13:2882. [PMID: 37760282 PMCID: PMC10525883 DOI: 10.3390/ani13182882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
Equipping a farm with a milking parlor requires moving groups of cows from their pens to the part of the barn where milking takes place. The task of moving cows, carried out two or three times each day, shows links to the lying area of the barn. When the cows are taken from the pen to the milking parlor, some of them may be lying down, and this lying down must be interrupted. The forced standing up of cows can be considered in terms of their welfare. The aim of the study was to examine the number of cows lying in the stalls at the time of opening the exit gates in the pens in order to take the cows to the milking parlor. The study covered four pens, each with 12 cows. The behavior of the cows in the pens before morning and afternoon milking was recorded over 26 days. In the analysis, the dependent variable was the number of lying cows, and the independent variables were the time of milking and the level of sand in the lying stalls. The results of the study showed the significance of differences in the number of lying cows for stalls with a low and high level of sand, both in the case of morning and afternoon milking. Differences in the number of lying cows were also found when comparing the time before morning and afternoon milking. To compare the tendency of individual cows to lie down before going to milking, an index of forced standing up was proposed. The research conducted showed differences in the behavior of cows before leaving the pen to the milking parlor. The stage to reduce the forced standing up of cows is to equip the farm with an automatic milking system (AMS) instead of using a milking parlor. In barns with AMS, cows have full freedom to get up and approach the milking stall. The results of the observations are thus an additional argument confirming the benefits of using an automatic milking system, considered in terms of the welfare of dairy cows, regarding their lying down and getting up.
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Affiliation(s)
- Marek Gaworski
- Department of Production Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
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Gaworski M, Boćkowski M. Comparison of Cattle Housing Systems Based on the Criterion of Damage to Barn Equipment and Construction Errors. Animals (Basel) 2022; 12:ani12192530. [PMID: 36230271 PMCID: PMC9559522 DOI: 10.3390/ani12192530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/16/2022] [Accepted: 09/19/2022] [Indexed: 12/04/2022] Open
Abstract
Simple Summary As a result of many years of use, dairy cattle barns are subject to gradual wear and degradation. Damage to technical equipment can be identified in many areas in the barn. These areas are used by dairy cattle, so it is important to recognize the problem of damage and the associated health risks for animals. The problem of damage to internal equipment (e.g., damage to the floor, partitions between lying stalls, feed ladders, drinking bowls) applies to both tie-stall and freestall barns, which are the most common in dairy farms. Such premises became an inspiration to compare barns with a tie-stall system, a freestall system and their individual areas (lying, feeding, milking and social) in terms of the amount of damage but also construction errors. Most damage per one barn was found in the feeding area of objects with a tie-stall housing system. More cow health problems (e.g., laminitis, hoof problems) were identified in the barns with the freestall housing system. Equipment failures and construction errors may disrupt efficient and animal-safe dairy production in the barn. The results of the research study may be an incentive for farmers to check the barns in terms of their technical wear. Abstract Dairy cattle housing systems are the subject of numerous studies, in which a strong emphasis is placed on the comparison of animal welfare, animal behavior, production indicators and labor inputs. Dairy cattle housing systems are linked to specific livestock buildings, which is a prerequisite for undertaking studies comparing barns and their technical equipment. The aim of the study was to compare barns with two types of housing systems, i.e., tie-stall and freestall, including the identification of technical wear in various areas used by animals. This objective was linked to the assessment of animal health problems in livestock facilities. The research covered 38 dairy farms, 19 of which kept cows in the tie-stall system and 19 in the freestall system. The barns in these farms were examined for technical damage and construction errors, assessed in four areas: lying, feeding, milking and social. The research results confirmed significant differences in the degree of damage to technical equipment in individual areas of barns and between barns with tie-stall and freestall housing systems. The conclusions indicate the need to link the degradation of barns and their technical equipment, as well as design errors with the evaluation of dairy cattle welfare in future studies.
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Affiliation(s)
- Marek Gaworski
- Department of Production Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
- Correspondence: ; Tel.: +48-22-593-45-83
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