Different levels of supplied energy for lactating cows
affect physicochemical attributes of milk

Gabbi, Alexandre Mossate; McManus, Concepta; Marques, Lúcia Treptow; Abreu, A. S.; Machado, Sandro Lemos; Zanela, Maira Balbinotti; Barbosa, Rodrigo Amorim; Fischer, Vívian

doi:10.22358/jafs/83703/2018

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…PC1 and PC2 showed a cumulative total variance of 88.10%. Similar results were observed by Gabbi et al (2018), in which they related total digestible nutrient levels, experimental period, milk yield, composition and quality, in Jersey, Holstein and Jersey x Holstein dairy breeds, and obtained a cumulative PC2 result of 87.24%.…”

Section: Morning Shiftsupporting

confidence: 86%

“…In multivariate statistics, total variance values greater than 70% indicate a level of adequacy of statistics, classified as well accepted (Kaiser, 1958). Studies such as by Gabbi et al (2018), who evaluated total digestible nutrient levels on milk yield, composition and quality and Tian et al (2016) who conducted an integrated metabolomic study of milk from heat-stressed lactating cows, using multivariate statistics, the authors observed a total variance of 87.22 and 86.1%, respectively. Zhang, Zhu, Jiang, and Mao (2017) compared ruminal metabolites in dairy cows fed low-concentrate and high-concentrate diets and obtained a total variance of 46.40 and 64.30%, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Influence of meteorological elements on behavioral responses of gir cows and effects on milk quality

Silva

Almeida

Pandorfi

et al. 2021

Acta Sci. Anim. Sci.

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This study aimed to analyze the principal components of the meteorological variables, physiological and behavioral response of cows subjected to different cooling times and their influence on milk quality, in the dry and rainfall periods, and to establish multiple regression models for milk quality. The data used in the study came from an experiment conducted in the Agreste Region of Pernambuco. The pre-milking cooling time was 10, 20, 30 min. and the control (without cooling). Sixteen multiparous lactating Gir cows were selected. Data were analyzed by principal component analysis and a multiple regression analysis was applied to determine milk quality. There was a strong relationship between somatic cell count (SCC) and activity of the animal in the shade for dry, and lying for rainfall, with increased SCC in cow milk. It was possible to establish two multiple regression models to determine milk quality in dry and rainfall periods. According to the principal component analysis, the cooling time to meet the thermal requirement of the animals was 20 min., regardless of the season and milking shift.

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Section: Morning Shiftsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Influence of meteorological elements on behavioral responses of gir cows and effects on milk quality

Silva

Almeida

Pandorfi

et al. 2021

Acta Sci. Anim. Sci.

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“…The decrease in lactose levels in summer and autumn can be attributed to the energy present in the diet in these seasons. It is known that changes in energy supply affect milk production and composition and can be modified according to the productive potential of each animal, stage of lactation, and feed supply, or when there is a deficiency in digestible carbohydrates from the diet (ARRUDA JUNIOR et al, 2019;HECK et al, 2009;GABBI et al, 2018). In addition, the number of lactations is a factor of great importance in the composition of lactose, since there is a linear decrease as the number of lactations increases.…”

Section: Resultsmentioning

confidence: 99%

Retrospective evalution of non-fatty solids in samples of raw milk in the state of Rio Grande do Sul according to season, Brazil

et al. 2023

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The present study described the chemical composition and somatic cell score (SCS) of samples of refrigerated raw milk collected from commercial farms in the state of Rio Grande do Sul in order to better understand the behavior of constituents present in non-fatty solids (NFS) in milk according to the season of the year. Means were used to describe statistical data. To estimate the probability of NFS levels meeting IN 76 (BRAZIL, 2018), binary logistic regression was used. It was reported that 18.2% (233.817) of analytical results showed NFS below 8.4%, representing the minimum required by IN 76. The highest average NFS level observed in the five-year period was registered in the micro-region of Passo Fundo (8.70%) in winter. The microregion with the lowest results was Porto Alegre (8.53%); however, it still demonstrated levels within the limits established by IN 76. The study indicates that milk constituents show differences between seasons. In autumn and winter, the constituents remained equal to or higher than those required by current legislation, while spring and summer were the periods with the lowest NFS values. The SCS was also influenced by the seasons, with the highest rates in spring, summer, and autumn.

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“…However, only 27-39% of the variations in milk yield, acidity, protein and lactose concentrations are explained by feed restriction. Authors acknowledge the multifactorial nature of milk stability, reflecting variations in mineral composition (Tsioulpas et al, 2007), acidity and caseins affected by feeding practices (Gabbi et al, 2015(Gabbi et al, , 2018 as well as animal health, breed (Vizzotto et al, 2021), metabolic status (Marques et al, 2011), lactation stage (Marques et al, 2010a) and heat stress (Abreu et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

The effect of diet restriction on raw milk stability: a meta-analytical approach

Garcia,

Bettencourt,

Aires

et al. 2023

Journal of Dairy Research

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This research communication was designed to evaluate the effects of different levels of diet restriction on the composition and ethanol stability (MES) of raw bovine milk. This research was carried out using three electronic databases: Scopus, Pubmed and Web of Science. The main inclusion criteria were: (i) original research, (ii) use of alcohol (ethanol) test as a method to assess milk stability, (iii) measure different levels of feed restriction and (iv) allow access to the raw data of articles. Of the nine publications that addressed the subject filtered by the systematic review, seven fitted the selection criteria and were selected to perform the meta-analysis. Feed restriction (reduction of 20, 30, 40 and 50% of the dietary dry matter offered) decreased (P < 0.01) milk yield (−18%), ethanol stability (−5%), acidity (−4%), protein (−3%) and lactose (−2%) concentrations, but did not affect the values of pH, density, fat and total solids concentrations, nor somatic cell count. The correlation between milk yield and MES was low but positive and numerically higher in the control group compared with the restriction group. The milk of cows fed the control diet presented greater ethanol stability (76.5%) compared with milk of cows fed the restrictive diet (72.8%). This decrease by up to 4 percentage units due to restriction levels ranging from 20 to 50% of diet intake may cause limitations in milk processing at the dairy industry, increasing milk rejection.

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Different levels of supplied energy for lactating cows affect physicochemical attributes of milk

Cited by 6 publications

References 24 publications

Influence of meteorological elements on behavioral responses of gir cows and effects on milk quality

Influence of meteorological elements on behavioral responses of gir cows and effects on milk quality

Retrospective evalution of non-fatty solids in samples of raw milk in the state of Rio Grande do Sul according to season, Brazil

The effect of diet restriction on raw milk stability: a meta-analytical approach

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