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Souza VC, Moraes LE, Baumgard LH, Santos JEP, Mueller ND, Rhoads RP, Kebreab E. Modeling the effects of heat stress in animal performance and enteric methane emissions in lactating dairy cows. J Dairy Sci 2023:S0022-0302(23)00268-0. [PMID: 37225587 DOI: 10.3168/jds.2022-22658] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 01/20/2023] [Indexed: 05/26/2023]
Abstract
Heat stress (HS) negatively affects dry matter intake (DMI), milk yield (MY), feed efficiency (FE), and free water intake (FWI) in dairy cows, with detrimental consequences to animal welfare, health, and profitability of dairy farms. Absolute enteric methane (CH4) emission, yield (CH4/DMI), and intensity (CH4/MY) may also be affected. Therefore, the goal of this study was to model the changes in dairy cow productivity, water intake, and absolute CH4 emissions, yield, and intensity with the progression (days of exposure) of a cyclical HS period in lactating dairy cows. Heat stress was induced by increasing the average temperature by 15°C (from 19°C in the thermoneutral period to 34°C) while keeping relative humidity constant at 20% (temperature-humidity index peaks of approximately 83) in climate-controlled chambers for up to 20 d. A database composed of individual records (n = 1,675) of DMI and MY from 82 heat-stressed lactating dairy cows housed in environmental chambers from 6 studies was used. Free water intake was also estimated based on DMI, dry matter, crude protein, sodium, and potassium content of the diets, and ambient temperature. Absolute CH4 emissions was estimated based on DMI, fatty acids, and dietary digestible neutral detergent fiber content of the diets. Generalized additive mixed-effects models were used to describe the relationships of DMI, MY, FE, and absolute CH4 emissions, yield, and intensity with HS. Dry matter intake and absolute CH4 emissions and yield reduced with the progression of HS up to 9 d, when it started to increase again up to 20 d. Milk yield and FE reduced with the progression of HS up to 20 d. Free water intake (kg/d) decreased during the exposure to HS mainly because of a reduction in DMI; however, when expressed in kg/kg of DMI it increased modestly. Methane intensity also reduced initially up to d 5 during HS exposure but then started to increase again following the DMI and MY pattern up to d 20. However, the reductions in CH4 emissions (absolute, yield, and intensity) occurred at the expense of decreases in DMI, MY, and FE, which are not desirable. This study provides quantitative predictions of the changes in animal performance (DMI, MY, FE, FWI) and CH4 emissions (absolute, yield, and intensity) with the progression of HS in lactating dairy cows. The models developed in this study could be used as a tool to help dairy nutritionists to decide when and how to adopt strategies to mitigate the negative effects of HS on animal health and performance and related environmental costs. Thus, more precise and accurate on-farm management decisions could be taken with the use of these models. However, application of the developed models outside of the ranges of temperature-humidity index and period of HS exposure included in this study is not recommended. Also, validation of predictive capacity of the models to predict CH4 emissions and FWI using data from in vivo studies where these variables are measured in heat-stressed lactating dairy cows is required before these models can be used.
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Affiliation(s)
- V C Souza
- Department of Animal Science, University of California, Davis, CA 95616.
| | - L E Moraes
- Department of Animal Science, University of California, Davis, CA 95616
| | - L H Baumgard
- Department of Animal Science, Iowa State University, Ames, IA 50011
| | - J E P Santos
- Department of Animal Sciences, University of Florida, Gainesville, FL 32611
| | - N D Mueller
- Department of Ecosystem Science and Sustainability & Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523
| | - R P Rhoads
- School of Animal Sciences, Virginia Tech, Blacksburg, VA 24061
| | - E Kebreab
- Department of Animal Science, University of California, Davis, CA 95616
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Grodkowski G, Gołębiewski M, Slósarz J, Grodkowska K, Kostusiak P, Sakowski T, Puppel K. Organic Milk Production and Dairy Farming Constraints and Prospects under the Laws of the European Union. Animals (Basel) 2023; 13:1457. [PMID: 37174494 PMCID: PMC10177354 DOI: 10.3390/ani13091457] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/17/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
In recent years, there has been rapid development in organic farming. When choosing organic livestock products, consumers are guided by the conviction that animals are provided with the highest welfare standards and access to pasture. The purpose of this article was to trace the principles of organic farming prevailing in the EU with regard to milk production and cattle breeding. The principles of organic production are universal and their application is not limited to certified farms. Organic certification is intended to assure the consumer of the quality and method of production. Due to additional requirements imposed by law, organic cows are usually kept in better welfare conditions compared to conventional cattle, but this is not the rule. The altered taste and texture of organic milk and its products compared to conventional products mainly depends on the presence of pasture greens in the cows' diet. Therefore, milk from conventionally kept, pasture-grazed cows may have similar characteristics and composition. Organic farms tend to have lower milk yields compared to conventional farms due to the lower consumption of concentrate feed. In the future, it is expected that the proportion of land that is unsuitable for the production of crops for human consumption will increasingly be used for cow grazing.
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Affiliation(s)
- Grzegorz Grodkowski
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
| | - Marcin Gołębiewski
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
| | - Jan Slósarz
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
| | - Kinga Grodkowska
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
| | - Piotr Kostusiak
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
| | - Tomasz Sakowski
- Institute of Genetics and Animal Biotechnology, Polish Academy of Science, Jastrzębiec, Postępu 36A, 05-552 Magdalenka, Poland
| | - Kamila Puppel
- Institute of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786 Warsaw, Poland; (G.G.); (M.G.); (J.S.); (K.G.); (P.K.)
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Tangorra FM, Calcante A, Vigone G, Assirelli A, Bisaglia C. Assessment of technical-productive aspects in Italian dairy farms equipped with automatic milking systems: A multivariate statistical analysis approach. J Dairy Sci 2022; 105:7539-7549. [PMID: 35863930 DOI: 10.3168/jds.2021-20859] [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: 06/11/2021] [Accepted: 04/23/2022] [Indexed: 11/19/2022]
Abstract
The aim of this study was to assess technical-productive aspects of dairy farms equipped with automatic milking system (AMS) in Northern and Central Italy. A survey was carried out on 62 dairy farms selected through convenience sampling with the following inclusion criteria: adoption of robotic milking for at least 1 yr and ability to provide farm data. Data were collected using a structured questionnaire to obtain a general description of farm characteristics and overall management practices. Through the combination of principal component analysis and k-means cluster analysis, the farms were allocated in 3 clusters. The identified clusters were described and afterward compared using one-way ANOVA or a chi-squared test. The main observed differences between clusters were the average number of lactating cows and AMS installed, average annual milk production, average AMS loading, average annual milk yield per full-time employee, average daily milk yield per cow and AMS, and the average annual veterinary costs per cow. cluster 1 (n = 24) included small-to-medium-sized semi-intensive farms with low AMS loading and low average daily milk yield per cow. In this farm typology, the AMS is not fully used and is likely perceived as a means to improve quality of life rather than profitability. Clusters 2 (n = 31) and 3 (n = 7) included, respectively, small-medium-sized and large intensive farms. These 2 farm typologies are characterized by an intensive approach to dairy cattle breeding, with average higher AMS loading, labor efficiency, and milk yield compared with the farms of cluster 1, likely due to better farm management. This classification could help dairy technicians give farmers customized management advice for the function of the cluster they belong to, and farmers falling in a specific cluster could evaluate whether they are reaching their objectives.
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Affiliation(s)
- F M Tangorra
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy.
| | - A Calcante
- Department of Agricultural and Environmental Sciences Production Territory Agroenergy, Università degli Studi di Milano, Via Celoria 2, 20133 Milan, Italy
| | - G Vigone
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - A Assirelli
- CREA-Centro di ricerca Ingegneria e Trasformazioni agroalimentari, Via la Pascolare 16, 00015 Monterotondo Scalo RM, Italy
| | - C Bisaglia
- CREA-Centro di ricerca Ingegneria e Trasformazioni agroalimentari, Via Milano 43, 24047 Treviglio (BG), Italy
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Gálik R, Lüttmerding G, Boďo Š, Knížková I, Kunc P. Impact of Heat Stress on Selected Parameters of Robotic Milking. Animals (Basel) 2021; 11:ani11113114. [PMID: 34827846 PMCID: PMC8614418 DOI: 10.3390/ani11113114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 11/16/2022] Open
Abstract
The values of the temperature-humidity index and its influence on the performance parameters of dairy cows were monitored on four farms located in the southern part of the central Slovakia during a period of three years. The observed parameters included: the milk yield per cow per day, average milk speed and maximum milk speed. The thermal-humidity index was calculated based on a formula. The individual periods were divided according to the achieved THI. The results of dairy cows with a milk yield of 29 kg to 31 kg show that there is not a decrease in the milk yield per milking if the THI value is lower than 68. It was also found that there was a decrease in the milk yield per dairy cow in the robotic milking parlor for a THI value greater than 72. The influence of a THI value higher than 68 in these dairy cows results in a higher average milk speed, as well as a higher maximum milk speed. These two parameters are not yet in the main area of research interest. This study enriches the area with new knowledge, according to which dairy cows can show thermal stress by increasing the milk speed as well as the maximum milk speed.
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Affiliation(s)
- Roman Gálik
- Institute of Agricultural Engineering, Transport and Bioenergetics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia; (R.G.); (Š.B.)
| | - Gabriel Lüttmerding
- Institute of Agricultural Engineering, Transport and Bioenergetics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia; (R.G.); (Š.B.)
- Correspondence:
| | - Štefan Boďo
- Institute of Agricultural Engineering, Transport and Bioenergetics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia; (R.G.); (Š.B.)
| | - Ivana Knížková
- Livestock Technology and Management, Institute of Animal Science, Přátelství 815, Uhříněves, 104 00 Praha, Czech Republic; (I.K.); (P.K.)
| | - Petr Kunc
- Livestock Technology and Management, Institute of Animal Science, Přátelství 815, Uhříněves, 104 00 Praha, Czech Republic; (I.K.); (P.K.)
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Gao ST, Guo ZT, Baumgard LH, Ma L, Bu DP. Cooling ameliorates decreased milk protein metrics in heat-stressed lactating Holstein cows. J Dairy Sci 2021; 104:12139-12152. [PMID: 34419281 DOI: 10.3168/jds.2021-20451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 06/30/2021] [Indexed: 11/19/2022]
Abstract
Cooling can alleviate the negative consequences of heat stress on multiple milk production metrics in dairy cows. However, it is still controversial whether cooling can increase milk protein content compared with heat-stressed cows. The objective of the present study was to evaluate the relief effect of cooling on the decrease in milk protein concentration during heat stress and elucidate the potential metabolic mechanisms. Thirty lactating multiparous Holstein cows (days in milk = 175 ± 25 d, milk yield = 27.5 ± 2.5 kg/d; mean ± SD) were assigned to 1 of 3 treatments: heat stress (HS; n = 10), cooling (CL; n = 10), and cooling with pair-feeding (PFCL; n = 10). The barns for PFCL and CL cows were equipped with sprinklers and fans, whereas the barn for HS cows were not. The average temperature-humidity index during the experiment ranged from 74 to 83. The spraying was activated automatically 2 times per day (1130-1330 h and 1500-1600 h) with 3 min on and 6 min off during the first 2 wk, and 1.5 min on and 3 min off during the last 2 wk, whereas the fans operated 24 h/d. The experiment lasted for 4 wk in total. Milk, urine, feces, total mixed ration, blood, and rumen fluid samples were collected weekly. Compared with HS, feed efficiency (1.24 and 1.49), milk protein yield (0.82 and 0.94 kg/d), and milk fat yield (0.98 and 1.26 kg/d) were increased in PFCL, whereas the differences between CL and HS were not significant. Compared with HS cows, PFCL and CL cows had a lower respiratory rate (70.6, 59.1, and 60.3 breaths per minute, respectively), rectal temperature (38.95, 38.61, and 38.51°C), and shoulder skin temperature (33.95, 33.25, 33.40°C), and had greater milk protein content (3.41, 3.72, and 3.69%) and milk fat percent (4.08, 4.97, 4.65%). Both the blood activity of catalase (increased by 12.8 and 41.0%) and glutathione peroxidase (12.6 and 40.4%) of PFCL and CL cows were greater than the HS cows. Compared with HS, cooling increased the blood content of glucose, methionine, threonine, and cystathionine by 10.7% and 10.3%, 19.0% and 9.5%, 15.8% and 12.0%, and 9.5% and 23.8% in PFCL and CL, respectively. In conclusion, the results indicated that cooling partially rescued milk protein synthesis induced by heat stress, and the potential mechanism may have been due to increased antioxidant ability, blood glucose, and key AA. Consequently, in addition to modifying the environment, nutritional and physiological strategies designed to influence carbohydrate, AA, and oxidative homeostasis may be an opportunity to maintain or correct low milk protein content during the warm summer months.
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Affiliation(s)
- S T Gao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Z T Guo
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - L H Baumgard
- Department of Animal Science, Iowa State University, Ames 50011
| | - L Ma
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - D P Bu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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Seasonal and agro-ecological associations with feed resource use and milk production of ranging dairy cows in the Southern Ethiopian Rift Valley. Trop Anim Health Prod 2021; 53:411. [PMID: 34304339 DOI: 10.1007/s11250-021-02867-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
Inadequate feed quality and quantity are the major constraints to dairy cow productivity in the southern Ethiopian Rift Valley. Dairy cows thrives predominantly on high-fibre feeds, with a reduced capacity for microbial fermentation in the rumen. Although variations in free-ranging dairy cow rations of the Ethiopian Rift Valley are assumed to depend on season and altitude alias agro-ecological zone, their potential impact on milk production is undocumented. This study evaluated seasonal changes of ranging dairy cow rations and milk production at different altitude regions within the Southern Ethiopian Rift Valley. A cross-sectional field survey using a structured questionnaire was used to collect data from 430 households with distinctive agro-ecology using a structured questionnaire and observation from a total of 340 households. Eighteen major feed types used by dairy farms were identified in the area and categorized into five classes: grazing pasture, cultivated pasture, crop residues, crop aftermath, agro-industrial by-products, and non-conventional feeds. All farmers indicated the continuous use of natural pasture. The daily milk yield was higher during the rainy season than during the dry season. It was also highest in midlands, followed by the highlands and then the lowlands. A significant (P < 0.001) association was found between season and agro-ecological zone and season and milk yield. In the dry season, milk yield had the strongest positive association with access to crop aftermath. This association turned negative in the rainy season, when the use of hay and agro-industrial by-products was most positively associated with milk yield. The higher availability of hay in the midlands agreed with the higher milk production in this zone, especially during the rainy season. Therefore, ranging dairy cows in tropical regions might respond differently to dietary interventions not only because of seasonal changes, but also because of interactions with the agro-ecological zone.
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Mehra R, Kumar S, Verma N, Kumar N, Singh R, Bhardwaj A, Nayan V, Kumar H. Chemometric approaches to analyze the colostrum physicochemical and immunological (IgG) properties in the recently registered Himachali Pahari cow breed in India. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111256] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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The effects of heat stress on the behaviour of dairy cows – a review. ANNALS OF ANIMAL SCIENCE 2021. [DOI: 10.2478/aoas-2020-0116] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
Heat stress in livestock is a function of macro- and microclimatic factors, their duration and intensity, the environments where they occur and the biological characteristics of the animal. Due to intense metabolic processes, high-producing dairy cows are highly vulnerable to the effects of heat stress. Disturbances in their thermoregulatory capability are reflected by behavioural, physiological and production changes. Expression of thermoregulatory behaviour such as reduction of activity and feed intake, searching for a cooler places or disturbances in reproductive behaviours may be very important indicators of animal welfare. Especially maintain of standing or lying position in dairy cattle may be a valuable marker of the negative environmental impact. Highly mechanized farms with large numbers of animals have the informatic system can detect alterations automatically, while small family farms cannot afford these type of equipments. Therefore, observing and analysing behavioural changes to achieve a greater understanding of heat stress issue may be a key factor for developing the effective strategies to minimize the effects of heat stress in cattle. The aim of this review is to present the state of knowledge, over the last years, regarding behavioural changes in dairy cows (Bos Taurus) exposed to heat stress conditions and discuss some herd management strategies provided mitigation of the overheat consequences.
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