Season effects on the composition of milk produced by a Holstein herd managed under semi-confinement followed by compost bedded dairy barn management

Weber, Carol Thaís; Schneider, Catia Letícia Corrêa; Busanello, Marcos; Calgaro, Júlia Laize Bandeira; Fioresi, Júnior; Gehrke, C. R.; Conceição, Jardel Menegazzi da; Haygert-Velho, Ione Maria Pereira

doi:10.5433/1679-0359.2020v41n5p1667

Cited by 9 publications

(8 citation statements)

References 20 publications

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“…The median bulk tank SCC observed in this study (233 × 10 3 cells/mL) is lower than those reported by other studies involving a CBPB in the southern region of Brazil, which described an average SCC > 340 × 10 3 cells/mL [40][41][42]. These results suggests that the risk of mastitis and increased SCC in bulk tank milk in CBPB systems could be reduced [6,35] when adequate management is carried out, including thorough turning of the bedding, adequate animal stocking density, appropriate environmental conditions (temperature, RH, and wind speed).…”

Section: Discussioncontrasting

confidence: 83%

Factors Influencing Milk Quality and Subclinical Mastitis in Dairy Herds Housed in Compost-Bedded Pack Barn System

Nogara,

Busanello,

Tavares

et al. 2023

Animals

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The compost-bedded pack barn (CBPB) system has been increasingly adopted by dairy farms due to its ability to enhance animal comfort and milk production. This study evaluated the associations among bedding characteristics, milk quality and composition, and subclinical mastitis (SCM) occurrence in dairy herds housed in CBPB systems. Over a period of six months, data related to milk quality and udder health and bedding sampling were collected from eight dairy farms. Monthly measurements of the bedding temperature and wind speed inside the CBPB were taken, while temperature and relative humidity data inside the CBPB were recorded using a datalogger. Bedding samples were subjected to analysis of moisture, pH, microbiological count, and carbon/nitrogen ratio. Data on milk composition (fat, protein, milk urea nitrogen, and total solids) and quality (somatic cell count and standard plate count) of bulk tank milk were obtained from DHIA results. Canonical correlation analyses were used to evaluate the association between the analyzed group variables, and linear regression models were used to identify associations between bedding characteristics and SCM occurrence in the studied herds. The bedding characteristics that most influenced milk composition and quality were moisture, temperature at 30 cm depth (T30), and bedding pH. Environmental variables played an important role in bedding composting, as they were closely related to the surface temperature and pH. Overall, 62.71% of the variation in milk quality and composition could be explained by the bedding variables, and 77.50% of the variation in the bedding variables was associated with environmental variables. Median SCM prevalence and incidence were 28.6 and 13.8%, respectively. An increase of 1 °C for T30 resulted in a 0.6% reduction in the prevalence of SCM. Additionally, the bedding surface temperature at 22.3 °C resulted in the highest incidence of SCM (~18.1%). Our results demonstrate the importance of controlling microclimatic conditions in the CBPB to optimize the bedding composting process and milk quality.

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Section: Discussioncontrasting

confidence: 83%

Factors Influencing Milk Quality and Subclinical Mastitis in Dairy Herds Housed in Compost-Bedded Pack Barn System

Nogara,

Busanello,

Tavares

et al. 2023

Animals

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“…In particular, in March, TBC was higher than in any other month. This may be because the winter season in the South Korea is cold enough to crystalize the cows' bedding and litter, thus this may have wounded the nipples of the cows, increasing the number of germs [36]. Mohebbi-Fani et al [37] mentioned that MP and MF are the two major milk compositions affecting milk price.…”

Section: A B Cmentioning

confidence: 99%

Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms

Park¹,

Ataallahi²,

Ham³

et al. 2022

J Anim Sci Technol

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Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk production due to HS and hereby environmental impacts of greenhouse gas (GHG) emissions are yet to be evaluated in Korean dairy farms. Dairy milk production and milk compositions data from March to October 2018, provided by the Korea Dairy Committee (KDC), were used to compare regional milk production with the temperature-humidity index (THI). Raw data for the daily temperature and relative humidity in 2018 were obtained from the Korea Meteorological Administration (KMA). This data was used to calculate the THI and the difference between the maximum and minimum temperature changing rate, as the average daily temperature range, to show the extent to which the temperature gap can affect milk productivity. The amount of milk was calculated based on the price of 926 won/kg from KDC. The results showed that the average milk production rate was the highest within the THI range 60-73 in three regions in May: Chulwon (northern region), Hwasung (central region), and Gunwi (southern region). The average milk production decreased by 4.96 ± 1.48% in northern region, 7.12 ± 2.36% in central region, and 7.94 ± 2.57% in southern region from June to August, which had a THI range of 73 or more, when compared to May. Based on the results, the level of THI should be maintained like May. If so, the farmers can earn a profit of 9,128,730 won/farm in northern region, 9,967,880 won/farm in central region, and 12,245,300 won/farm in southern region. Additionally, the average number of cows raised can be reduced by 2.41 ± 0.35 heads/farm, thereby reducing GHG emissions by 29.61 ± 4.36 kg CO 2 eq/day on average. Overall, the conclusion suggests that maintaining environmental conditions in the summer that are similar to those in May is necessary. This knowledge can be used for basic research to persuade farmers to change farm facilities to increase the economic benefits and improve animal welfare.

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“…Refs. [9,10] suggest that season, herd management, average production, somatic cell counts, and herd size could be related to mastitis prevalence rate in dairy herds.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Farm Size on the Differences in Mastitis Prevalence and Its Consequences on Milk Production in Holstein Cows

Gantner,

Jožef,

Gantner

et al. 2024

The 17th International Conference of the Hellenic Association of Agricultural Economists

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Aiming to determine the prevalence of mastitis and its consequences on milk production, 3,953,637 test-day records of Holstein cows (period 01/2005 to 12/2022) were analyzed. The obtained analyses indicate differences in mastitis prevalence and the consequences on successive milk production depending on herd size. The lowest mastitis prevalence was observed on the largest farms (>500), while the most pronounced recovery potential was observed for farms with 200-500 cows. Higher mastitis prevalence and lower recovery potential observed at smaller farms indicate the necessity of education and knowledge transfer to those farms.

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Season effects on the composition of milk produced by a Holstein herd managed under semi-confinement followed by compost bedded dairy barn management

Abstract: Somatic cell count and total bacterial count increased under the CBDB system. No differences were found for other milk variables between the two systems. Milk was of a higher quality in winter and spring compared with summer and autumn.

Cited by 9 publications

References 20 publications

Factors Influencing Milk Quality and Subclinical Mastitis in Dairy Herds Housed in Compost-Bedded Pack Barn System

Factors Influencing Milk Quality and Subclinical Mastitis in Dairy Herds Housed in Compost-Bedded Pack Barn System

Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms

The Effect of Farm Size on the Differences in Mastitis Prevalence and Its Consequences on Milk Production in Holstein Cows

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