Effect of genotype, lactation and climatic factors on fatty acid profile of bovine milk

Acosta-Balcazar, Isabel Cristina; Quiroz-Valiente, Jorge; Granados-Zurita, Lorenzo; Aranda-Ibáñez, Emilio Manuel; Hernández-Natarén, Edith; Rincón-Ramírez, Joaquín Alberto; Granados-Rivera, Lorenzo Danilo

doi:10.17221/32/2022-cjas

Cited by 3 publications

(3 citation statements)

References 16 publications

(14 reference statements)

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“…Rennetability ijklmno = gen i + farm j + season k + protein l + NFS m + pe n + sire o + e ijklmno , (3) where Rennetability ijklmno is the rennetability assessed subjectively or instrumentally; gen i is the fixed class effect of genotype (i = 1, 2) for the CSN1S1 or LALBA gene; farm j is the fixed class effect of farm (j = 1, 2, 3, 4, 5); season k is the fixed class effect of the season (k = 1, 2, 3, 4); protein l is the fixed effect of protein % in milk; NFS m is the fixed effect of non-fat solids % in milk; pe n is the permanent effect of the cow; sire o is the random effect of sire; and e ijklmno is a random residual.…”

Section: Discussionmentioning

confidence: 99%

“…For dairy farms, it is important that milk yield and composition markedly influence their economy. For processing plants, technological properties, in addition to composition, are important; therefore, different effects on both characteristics are studied [ 3 , 4 , 5 , 6 , 7 ]. Concerning the genetic background of technological properties, low heritabilities are found [ 6 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

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CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow’s Milk

Čítek

Samková

Brzáková

et al. 2023

Animals

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We evaluated the influence of CSN1S1 and LALBA polymorphisms on cow’s milk yield and quality. The analysis was done on Czech Simmental and Holstein cows. Non-genetic factors were included as well. CSN1S1 did not influence the milk performance in the first lactation. In the second lactation, cows with the BB genotype had significantly higher milk, protein, and fat yields than BC. The differences between LALBA genotypes were non-significant in the first lactation, while in the second lactation, the fat percentage was significantly higher in BB than in AB. The farm significantly influenced milk, protein, and fat yields in both the first and second lactations and fat percentage in the first lactation. The effect of CSN1S1 and LALBA genotypes on the milk technological quality was non-significant. Breed did not influence any of the evaluated technological traits and SCS. The ethanol test was not influenced by farm, season, lactation phase, protein percentage, breed, or non-fat solids percentage. Farm, season, and protein percentage significantly influenced milk fermentation ability, renneting, and SCS. The lactose content is a good indicator of udder health.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow’s Milk

Čítek

Samková

Brzáková

et al. 2023

Animals

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show abstract

“…The lowest values in our case, were also reached in the spring calving season (4.07% fat and 3.61% protein). This approach to the analysis of the heritability of less frequently analysed milk components is supported in the study of Acosta-Balcazar et al 2022. Regarding the lactation order effect, Yoon et al (2004) stated for both the fat and protein content, a continuous decrease in the percentage of the fat and protein content with an increasing lactation order.…”

Section: Daily Milk Yield and Main Componentsmentioning

confidence: 87%

The interaction between the milk production, milk components with a low frequency of analysis and factors affecting the milk composition in dual-purpose Simmental cows

Falta¹,

Zapletalová²,

Hanuš³

et al. 2023

Czech J. Anim. Sci.

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The aim of this study was to improve the understanding of the contribution of components typically found in milk, but which are not often included in analyses, to the nutritional status of dairy cows. This was undertaken by analysing the amount and composition of milk produced by Simmental dairy cows, a dual-purpose breed farmed in the Czech Republic. Apart from the more frequently analysed group of components in milk, a less frequently analysed group of components were also investigated. This group, typically, consists of the following components: urea, casein, citric acid, beta hydroxy butyrate (BHB) ketones and free fatty acids. The average content of urea, casein and citric acid in milk is 25.75 mg/100 ml, 2.96%, 0.15%, respectively. The influence of environmental factors on these indicators was evaluated, as well as the degree of hereditary establishment. These less frequently analysed components (indicators), as well as the more frequently analysed components of milk, are subject to several external influences, especially the influence of the breeder, the year and the season of calving. The content of these components varied significantly statistically during the lactation period and also in the order of lactation. The influence of a cow's individuality and the degree of additive genetic background are evident, with estimated heritability coefficients ranging from 0.04 for the BHB ketone content to higher values, e.g., 0.28 for citric acid or 0.31 for the lactose content in milk. The relationships between the components of milk and the daily milk yield were also evaluated, and statistically significant negative correlations were found between the content of casein and the daily milk yield (-0.47) and between the lactose content and the number of somatic cells (-0.37).

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The influence of eating and rumination time on solids content in milk and milk yield performance of cows

Codl¹,

Ducháček²,

Vacek³

et al. 2023

CZECH J ANIM SCI

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The aim of this study was to evaluate the effect of rumination time, eating time and season on milk yield and on milk component content in the context of milk recording. The experiment was carried out with two breeds -Czech Fleckvieh cattle and Holstein cattle -for one year. Vitalimetr 5P neck responders were used to monitor eating and rumination time. For statistical evaluation, the time of eating and rumination was divided into three groups according to the length of eating and ruminating, with each breed being categorised separately. The highest protein content, which was 3.6%, was calculated for the group with an average eating time. The fat content was highest for the group with a below-average eating time. On the other hand, the highest milk yield was statistically significantly (P < 0.01) higher in the group with the longest eating time. In terms of rumination, the trend was similar to that of the eating period. In the evaluation of the effect of rumination time, there was no difference in protein %, fat kg and fat % content. A significant (P < 0.05) increase of protein kg was observed with higher rumination time. Changes in milk yield and milk components also occurred throughout the year. During the winter months, the yield decreased, but there was an increase in milk constituent content. During the summer months, the reverse results were obtained. The findings of this study highlight the importance of evaluating eating and rumination time as a potential predictor of milk yield and milk solids content, which are important in milk monetization.

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Effect of genotype, lactation and climatic factors on fatty acid profile of bovine milk

Cited by 3 publications

References 16 publications

CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow’s Milk

CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow’s Milk

The interaction between the milk production, milk components with a low frequency of analysis and factors affecting the milk composition in dual-purpose Simmental cows

The influence of eating and rumination time on solids content in milk and milk yield performance of cows

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