Day-to-day variation in milk yield and milk composition at the udder-quarter level

Forsbäck, L.; Lindmark-Månsson, Helena; Andrén, Anders; Åkerstedt, Maria; Andrée, Lisa; Svennersten-Sjaunja, K.

doi:10.3168/jds.2009-3015

Cited by 74 publications

(80 citation statements)

References 23 publications

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“…Very few interfering factors had a significant effect on the residuals. The RMSE of the models were similar to the inherent variability of milk fat measurements: they were lower than the day-to-day variations in milk fat measured in vivo (Syrstad, 1977;Forsback et al, 2010) and were similar to the residual variations (r.s.d.) calculated from the publications included in the database (the r.s.d.…”

Section: Discussionmentioning

confidence: 61%

Response of milk fat concentration and yield to nutrient supply in dairy cows

Maxin

Rulquin

Glasser

2011

Animal

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Dietary changes alter dairy cow milk fat concentration (MFC) and yield (MFY) through modifications in the supply of nutrients, which act as precursors or inhibitors of mammary fat synthesis. The current models used to formulate dairy cow diets cannot predict changes in milk fat. The knowledge of the effects of the nutrients on milk fat would help to progress toward this prediction. To this end, we quantified and compared the milk fat responses to variations in the supply of seven nutrients derived from digestion: volatile fatty acids, glucose, proteins, long-chain fatty acids (LCFA) and t10,c12-conjugated linoleic acid (CLA). A database was compiled from studies involving digestive infusions of these nutrients in dairy cows. It included 147 comparisons between a nutrient infusion and a control treatment. The nutrient infusions were limited to the range of physiological variations to mimic nutrient changes after dietary modifications. We established models for the response of MFC, MFY and milk fatty acid (FA) composition to the supply of each nutrient. MFC and MFY responses to the nutrients were significant and linear, except for the MFC response to glucose that was curvilinear. The nutrients differed in their effects on MFC and MFY: acetate, butyrate and LCFA increased MFC and MFY, whereas propionate, glucose and t10,c12-CLA decreased them. Protein infusions increased MFY and decreased MFC because of an increase in milk yield. The effects of numerous interfering factors related to animals, diets or experimental conditions were tested on the residuals of the response models. The responses of milk FA percentages are also provided. When adjusted to the in vivo variations in the nutrients observed after dietary changes, the effects of the different nutrients were moderate. Finally, this study showed that several of these nutrients could contribute to the changes in milk fat production and composition observed after dietary changes. This is a first step toward predicting milk fat response to changes in nutrient supply.Keywords: milk fat, dairy cow, meta-analysis, nutrients ImplicationsFluctuations in the milk fat market are driving demands from farmers for ways to control milk fat production and composition in dairy cows. The current models used to estimate dairy cow requirements and formulate diets cannot predict changes in milk fat. These models are based on energy and protein intake and do not consider the pattern of individual nutrients derived from digestion. Using published infusion studies, this meta-analysis quantifies and compares the effects on milk fat secretion of several nutrients derived from digestion. It is a first step toward a model to estimate variations in milk fat based on variations in nutrient supply.

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Section: Discussionmentioning

confidence: 61%

Response of milk fat concentration and yield to nutrient supply in dairy cows

Maxin

Rulquin

Glasser

2011

Animal

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“…Si la quantité de lait local est insuffisante, la qualité hygiénique et sanitaire du lait produit pourrait être améliorée afin de rentre la filière locale compétitive. La production laitière locale est confrontée à un certain nombre de contraintes qui empêche sa compétitivité telles que les mammites qui ont un effet sur la quantité et la qualité du lait notamment la composition chimique (Forsbäck et al, 2010). En effet, les mammites aiguës sont caractérisées par une importante inflammation de la mamelle (douleur, chaleur, tuméfaction), par une réduction de la production de lait et un changement de sa composition alors que les mammites subcliniques sont caractérisées par une inflammation modérée sans signe visible au niveau de la vache, de la mamelle ou du lait.…”

Section: Résuméunclassified

“…Elles constituent la plus grande préoccupation sanitaire et économiques des élevages laitiers dans le monde (Seegers et al, 2003 ;Huijps et al, 2008). Les mammites sont caractérisées par la présence de germes pathogènes dans le lait et la présence de cellules somatiques, en nombre anormalement élevé (Gabli, 2005 ;Forsbäck et al, 2010 ;Millogo et al, 2010). Les mammites entrainent de ce fait, une baisse de la qualité hygiénique du lait.…”

Section: Résuméunclassified

Prévalence et facteurs de risque des mammites subcliniques dans les élevages traditionnels de Kaolack au Sénégal

Kalandi¹,

Sow²,

Millogo³

et al. 2017

J. App. Bioscience.

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Subclinical mastitis is an insidious infection of the mammary gland which negatively affects the production of the dairy cow. Thus, it is necessary to make the diagnosis in order to control it.Objective: The objective of this study was to determine the prevalence of subclinical mastitis in traditional livestock (cows) in the region of Kaolack in Senegal. (Delval, Tumba, Sweden) were utilized to analyze the milk samples. The prevalences were 11.9% and 10.9% using CMT and CCS respectively. There was no significant difference between the prevalences obtained by the two tests (p = 0.824). The prevalence of mastitis in crossbred cows (12.5%) was significantly higher than that of local Gobra cows (11.8%) (p = 0.007). On the other hand, the calving rank had no effect on the occurrence of mastitis (Odds ratio = 1.542 ; 95% CI : [0.884-2.690]). Conclusion:The prevalence of mastitis obtained in traditional livestock suggests that effective management of sick cows should be considered in order to improve dairy production. In light of our findings, the CMT test which is reliable fast simple and effective can be a good means of rapid detection of subclinical mastitis in traditional dairy farms.

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“…It shows that the changes in the MDi and somatic cell count are not in parallel. However, the increase of the MDi does not exclude association with the biological changes in the udder or throughout the animal body [7]. The threshold values of MDi for automatic detection of abnormal milk were modeled using the MDi, SCC and produced milk amount.…”

Section: Fig 2 Distribution Of Milking Intervals In the Study Groupsmentioning

confidence: 99%

Effectiveness of mastitis detection index for cow monitoring and abnormal milk detection in milking robots

Lusis¹,

Antane²,

Laurs³

2017

Engineering for Rural Development

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Abstract. The aim of the study was to evaluate the effectiveness of the Mastitis Detection index (MDi) for detection of cows with a high somatic cell count (SCC) during milking in the milking box of the DeLaval milking robot. The MDi takes conductivity, milking intervals and blood presence into consideration. All these factors and SCC dynamics were analyzed in 20 cows during a three-week period. The MDi was compared between the experimental group (cows with initial MDi 1.4 or more, n = 10) with the control group (cows with initial MDi from 1.0 to 1.3, n = 10). Results have indicated that the MDi and milk conductivity in the experimental group were significantly (p < 0.05) higher compared with the control group cows (mean (SD) 1.40 (0.29) vs 1.06 (0.06) and 4634 (469.4) vs 4562 (366.9) µS·cm -1 ). There were significantly longer milking intervals (12 hours and more), and consequently less number of the milking sessions per day in the experimental group (2.3 (0.74) vs 2.6 (0.72) (p < 0.05). In total, the experimental group has significantly higher log 2 SCC 3.4 (1.53) vs 2.4 (1.45). To characterize the overall effectiveness of the MDi for detection of cows with SCC above 200 000 cells ml -1 of milk the Cohen`s kappa from 430 milking sessions were calculated and the agreement was found to be less than moderate (kappa = 0.28 ± 0.048). Besides that, the threshold values of the MDi for automatic divert of abnormal milk were modeled. If the threshold is set as high as 2.0, the SCC of diverted milk would be around 422 000 cells ml -1 and total amount of diverted milk would be 2.3 % of all milk production. At the same time, the bulk tank SCC would be as low as 155 000 cells·ml -1 . Any lover threshold would increase the amount of diverted milk, however, the somatic cell count in the bulk tank would decrease even lower.

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Day-to-day variation in milk yield and milk composition at the udder-quarter level

Cited by 74 publications

References 23 publications

Response of milk fat concentration and yield to nutrient supply in dairy cows

Response of milk fat concentration and yield to nutrient supply in dairy cows

Prévalence et facteurs de risque des mammites subcliniques dans les élevages traditionnels de Kaolack au Sénégal

Effectiveness of mastitis detection index for cow monitoring and abnormal milk detection in milking robots

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