Correlations between Environmental Factors and Milk Production of Holstein Cows

Mylostyvyi, Roman; Chernenko, O.M.

doi:10.3390/data4030103

Cited by 27 publications

(21 citation statements)

References 16 publications

(19 reference statements)

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“…A decrease in FI is a very usual phenomenon in response to heat stress (HS) [ 1 , 4 ]. Under HS conditions, the amount of energy expended by the cow to maintain homeothermy increases (e.g., 20% more at 35 °C, compared to 20 °C).…”

Section: Discussionmentioning

confidence: 99%

“…Environmentally induced hyperthermia is a global-scale threat to the dairy industry in many ways, with its effects including economic loss, animal health issues, and productivity. The adverse effects of heat stress (HS) on the productivity of dairy animals, in terms of milk yield, composition, and quality, have been well-documented [ 1 ]. Despite advances in cooling systems and environmental management [ 2 ], HS continues to negatively affect the diversity of dairy production characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…Despite advances in cooling systems and environmental management [ 2 ], HS continues to negatively affect the diversity of dairy production characteristics. As such, lactating dairy cows under HS experience limited energy intake and, thus, are unable to meet the demands of their bodies for maintaining milk production and health, resulting in reduced milk yield and quality and leaving the animals susceptible to diseases [ 1 , 3 , 4 ]. The harm of HS is particularly more important in high-yield dairy cows, due to their higher susceptibility to stressors which periodically happen during early stage of lactation [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, THI is based only on the air temperature and humidity [ 3 ] and, as such, is not a direct biomarker of metabolic alterations in response to HS. Thus, alterations in physiological parameters, such as rectal temperature, heart rate, and respiratory dynamics, reflect the degree of HS in cattle [ 8 ], as well as feed intake [ 1 , 4 ], as the first indicator of HS and, consequently, its influence on milk yield and characteristics [ 1 ]. Feed intake can establish certain blood metabolite alteration changes during HS.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Short-Term Heat Stress in Holstein Dairy Cows Using Altered Indicators of Metabolomics, Blood Parameters, Milk MicroRNA-216 and Characteristics

Lee

Peng

et al. 2021

Animals

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This study aims to characterize the influence of short-term heat stress (HS; 4 day) in early lactating Holstein dairy cows, in terms of triggering blood metabolomics and parameters, milk yield and composition, and milk microRNA expression. Eight cows (milk yield = 30 ± 1.5 kg/day, parity = 1.09 ± 0.05) were homogeneously housed in environmentally controlled chambers, assigned into two groups with respect to the temperature humidity index (THI) at two distinct levels: approximately ~71 (low-temperature, low-humidity; LTLH) and ~86 (high-temperature, high-humidity; HTHH). Average feed intake (FI) dropped about 10 kg in the HTHH group, compared with the LTLH group (p = 0.001), whereas water intake was only numerically higher (p = 0.183) in the HTHH group than in the LTLH group. Physiological parameters, including rectal temperature (p = 0.001) and heart rate (p = 0.038), were significantly higher in the HTHH group than in the LTLH group. Plasma cortisol and haptoglobin were higher (p < 0.05) in the HTHH group, compared to the LTLH group. Milk yield, milk fat yield, 3.5% fat-corrected milk (FCM), and energy-corrected milk (ECM) were lower (p < 0.05) in the HTHH group than in the LTLH group. Higher relative expression of milk miRNA-216 was observed in the HTHH group (p < 0.05). Valine, isoleucine, methionine, phenylalanine, tyrosine, tryptophan, lactic acid, 3-phenylpropionic acid, 1,5-anhydro-D-sorbitol, myo-inositol, and urea were decreased (p < 0.05). These results suggest that early lactating cows are more vulnerable to short-term (4 day) high THI levels—that is, HTHH conditions—compared with LTLH, considering the enormous negative effects observed in measured blood metabolomics and parameters, milk yield and compositions, and milk miRNA-216 expression.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of Short-Term Heat Stress in Holstein Dairy Cows Using Altered Indicators of Metabolomics, Blood Parameters, Milk MicroRNA-216 and Characteristics

Lee

Peng

et al. 2021

Animals

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“…Throughout life a constant adaptation to changes of these conditions occurs. On farms, animals are exposed to various factors that can cause stress: the transfer of animals from one group to another, fighting for dominance, transportation, veterinary care, living in large groups, changes in technology, the impact of harmful substances on the organism and others (Mylostyvyi & Chernenko, 2019). Under these conditions, the organism can fall out of state of equilibrium with the environment (Moberg et al, 2000;Carroll et al, 2013), and there are some homeostasis disorders (Friend, 1980;Igono et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Heavy metals, nitrates and radionuclides in milk of cows depending on their stress resistance

Chernenko¹,

Sanzhara²,

Shulzhenko³

et al. 2019

Regul. Mech. Biosyst.

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The paper presents the results of studies on the content of cesium, strontium, zinc, cadmium, copper, lead and nitrates in the milk of Ukrainian black-and-white milk breed cows with different resistance to stress. The resistance of cows to stress was determined by concentration of cortisol in the blood one hour after a stress effect. The following factors were stressful: fixation of animals for one hour and pre-selection of blood by a veterinarian for general analysis. The objective of the research was establishing a connection between the different adaptive potential of Ukrainian black-and-white milk breeds and the ability of their bodies to excrete via the milk heavy metal salts, nitrates and radioactive elements which enter the body with food and water. The scientific hypothesis was that the state of pressure which occurs in the body under the influence of stress impairs homeostasis. It can affect the quantity and quality of products, it can cause disorders in the metabolic processes, the synthesis of milk components and introduction of some harmful substances into milk, which are differently accumulated in the body of cows with diverse reactions to stress and can be excreted with milk in at different levels. We established that different resistance of cows to stress can affect the concentration of the investigated harmful substances in milk. Concentration of lead, cadmium, zinc and nitrates was lower in milk of more stress-resistant cows (the first group). Their milk had a lower specific activity of 137Cs and 90Sr. For all the seasons, the reliable results were obtained only for nitrates, and 137Cs and 90Sr – in spring, summer and autumn. Thus, milk of cows with higher resistance to stress is safer in terms of contents of the investigated elements. We have drawn a conclusion that stress can affect the ability of the body to excrete via the milk harmful elements which enter the body with food and water. Perspectives of further research are determining the effect of cows’ stress resistance on the suitability of milk for the production of baby food products.

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Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

Atalan

2022

Agribusiness

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The study aimed to describe and test machine learning (ML)-based algorithms to evaluate the unit price of drinking milk. The algorithms were applied to the data collected over 8 years in 2014 and 2021 related to the price of drinking milk in Turkey. The economic, social, and environmental factors that have an impact on the unit price of drinking milk were evaluated. Five ML algorithms, including random forest, gradient boosting, support vector machine (SVM), neural network, and AdaBoost algorithms, were utilized to predict the drinking milk unit price. ML also applied hyperparameter tuning with nested cross-validation to calculate the prediction accuracy for each algorithm. The results show that the random forest algorithm based on the features of the ML algorithms has the best performance, with the accuracy of 99.30% for training and 98.10% for testing the dataset. The average accuracy of gradient boosting, SVM, neural network, and AdaBoost are obtained as 97.30%, 96.15%, 95.65%, and 96.05%, respectively. Random forest performed best as the target variable with the lowest deviation values of mean squared error (MSE) (0.004), root mean square error (RMSE) (0.060), and mean

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Correlations between Environmental Factors and Milk Production of Holstein Cows

Cited by 27 publications

References 16 publications

Characterization of Short-Term Heat Stress in Holstein Dairy Cows Using Altered Indicators of Metabolomics, Blood Parameters, Milk MicroRNA-216 and Characteristics

Characterization of Short-Term Heat Stress in Holstein Dairy Cows Using Altered Indicators of Metabolomics, Blood Parameters, Milk MicroRNA-216 and Characteristics

Heavy metals, nitrates and radionuclides in milk of cows depending on their stress resistance

Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

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