Lactation curves and model evaluation for feed intake and energy balance in dairy cows

Harder, Inken; Stamer, E.; Junge, Wolfgang; Thaller, Georg

doi:10.3168/jds.2018-15300

Cited by 32 publications

(29 citation statements)

References 39 publications

(65 reference statements)

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“…It is well known that dairy cows already go into a period of NEB a few days before calving and that the NEB extends to a few weeks after calving, with the nadir of NEB during the first week of lactation [14]. The feed intake increases slowly at the beginning of lactation [15] and the NEB switches to a positive range after approximately 45 d of lactation [16]. Other diseases such as rumen distention, abomasum displacement, metritis, mastitis, and so on also lead to insufficient nutrient supply and trigger secondary ketosis in the early lactation period.…”

Section: The Formation Of Neb In Dairy Cowsmentioning

confidence: 99%

Effects of Propylene Glycol on Negative Energy Balance of Postpartum Dairy Cows

Zhang

Nan

Wang

et al. 2020

Animals

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With the improvement in the intense genetic selection of dairy cows, advanced management strategies, and improved feed quality and disease control, milk production level has been greatly improved. However, the negative energy balance (NEB) is increasingly serious at the postpartum stage because the intake of nutrients cannot meet the demand of quickly improved milk production. The NEB leads to a large amount of body fat mobilization and consequently the elevated production of ketones, which causes metabolic diseases such as ketosis and fatty liver. The high milk production of dairy cows in early lactation aggravates NEB. The metabolic diseases lead to metabolic disorders, a decrease in reproductive performance, and lactation performance decline, seriously affecting the health and production of cows. Propylene glycol (PG) can alleviate NEB through gluconeogenesis and inhibit the synthesis of ketone bodies. In addition, PG improves milk yield, reproduction, and immune performance by improving plasma glucose and liver function in ketosis cows, and reduces milk fat percentage. However, a large dose of PG (above 500 g/d) has toxic and side effects in cows. The feeding method used was an oral drench. The combination of PG with some other additives can improve the effects in preventing ketosis. Overall, the present review summarizes the recent research progress in the impacts of NEB in dairy cows and the properties of PG in alleviating NEB and reducing the risk of ketosis.

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Section: The Formation Of Neb In Dairy Cowsmentioning

confidence: 99%

Effects of Propylene Glycol on Negative Energy Balance of Postpartum Dairy Cows

Zhang

Nan

Wang

et al. 2020

Animals

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“…In lactations extended up to 370 or 440 days the maximum was reached 34.6 or 35.9 days, respectively, with the milk yield 29. 2 [11]. The differences reported in other studies may be explained by different breeds and farming conditions.…”

Section: Methodsmentioning

confidence: 67%

“…The differences reported in other studies may be explained by different breeds and farming conditions. Different values of peak yield and day of peak was described by many authors [1,2,5,7,14]. 37 % of the total milk yield) was produced in the period between 306 and 547 days.…”

Section: Methodsmentioning

confidence: 99%

“…Czech dairy Simmental cattle belongs to the family of dual-purpose breeds of the phylogenetic group of "Simmental type breed" as well as other breeds derived from Simmental cattle such as Fleckvieh, Montbé liarde and Pezzata Rossa. The description of lactation curve is still current in livestock research and was analysed by many authors [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

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The effect of extended lactation on parameters of Wood’s model of lactation curve in dairy Simmental cows

et al. 2021

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Objective: This study was focused on the estimation of parameters of Wood's model and description of the lactation curve using the cows which were lactated over 24 months on the first lactation. Methods: The database included 1 333 pure-bred dairy Simmental primiparous cows which lactated for 24 months (732 days). The initial dataset entering the procedure of assessment of parameters of Wood's function included 35 826 milk yield records. Milk yield was recorded throughout lactation, with the earliest record taken on day 6 and the latest on day 1 348 of lactation. This dataset was used for the assessment of parameters a, b, c of Wood's model using the non-linear statistical procedure. These parameters were estimated for different length of lactation. The assessed parameters were used for calculation of some characteristics of lactation curves. Results: The lowest value of a parameter (15.2317) of Wood's model of lactation curve was found out in lactations up to 305 days long, contrary to b and c parameters which were highest in those lactations (0.1029 and 0.0015, respectively). The maximum value of a parameter (17.4329) was found out in lactations up to 640 days long, unlike b and c parameters which were minimal in those lactations (0.0603 and 0.0010, respectively). Conclusion: It can be concluded that the parameters of Wood's model and the shape of lactation curve are changing with the growing number of milk yield records. Also, the assessed parameters revealed a significant milk production potential after 305 days of lactation.

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“…The importance of feed intake, diet on dairy cows was investigated in recent years. For example, the feed intake increases slowly at the beginning of lactation [12]; or the effects of dietary starch concentration on yield of milk and milk components were investigated by Boerman et al [13].…”

Section: Introductionmentioning

confidence: 99%

Comparison of forecast models of production of dairy cows combining animal and diet parameters

Nguyen

Fouchereau²,

Frénod

et al. 2020

Computers and Electronics in Agriculture

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We study the effect of nutritional diet characteristics on the lactating Holstein-Friesian dairy cows in Brittany, France from 36 individuals. An analysis of the relations between fat/protein content and milk yield was implemented for our dataset. The fat and protein production increase at a slower rate as milk yield increases. The importance of chemical composition on milk production is studied using the linear model. The data analysis confirms the importance of Starch, crude fiber, and protein which have a positive effect on milk production. This analysis also confirms the previous study on the effect of parity on the production. After that, the milk production forecasting is investigated using both linear models and machine learning approaches (support vector machine, random forest, neural network). We study the performance of multiple linear regression and machine learning-based models in both non-autoregressive and autoregressive cases at the individual level. The autoregressive models, which take into account the previously observed milk yield, have proven to significantly outperform the non-autoregressive approaches. Moreover, the computational cost of each approach is presented in the paper. While the random forest algorithm gives the best performance in both non-autoregressive and autoregressive approaches. The support vector machine algorithm gives a very close performance with a substantial less computing time. The support vector machine

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Lactation curves and model evaluation for feed intake and energy balance in dairy cows

Cited by 32 publications

References 39 publications

Effects of Propylene Glycol on Negative Energy Balance of Postpartum Dairy Cows

Effects of Propylene Glycol on Negative Energy Balance of Postpartum Dairy Cows

The effect of extended lactation on parameters of Wood’s model of lactation curve in dairy Simmental cows

Comparison of forecast models of production of dairy cows combining animal and diet parameters

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