Prediction of 305-day first lactation milk yield in cows with selected regression models

Grzesiak, Wilhelm; Wójcik, Janusz; Binerowska, B.

doi:10.5194/aab-46-213-2003

Cited by 13 publications

(9 citation statements)

References 23 publications

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“…In addition to the above-mentioned methods for estimating the lactation curve trajectory and the expected milk yield, several other models exist (Grzesiak et al, 2003), which are based on a minimum number of milk recordings. When using the SLC, we encountered the issue of unreliability of milk yield predictions based on first milk recordings (Jeretina et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Standard Lactation Curves for Primiparous Holstein Cows by Using Corrected Regression Models

Jeretina

Babnik

Škorjanc

2015

Italian Journal of Animal Science

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Prediction of the expected milk yield is important for the management of the primiparous cows (PPC) with a few or no data on their own milk productivity. We developed a system of regression equations for predicting milk yields in standard lactation. The models include the systematic effects of the calving season, the five-year rolling herd average of milk yield of PPC, the breeding values of the parents for milk production, and daily milk recordings. A total of 21,901 lactations of Holstein PPC were collected during the regular monthly milk recordings of cows in the Republic of Slovenia. By including daily milk recordings in the model, the coefficients of determination of regression models for the prediction of milk yield increase: without known recordings (M0) R 2 =0.80; with one recording (M1) R 2 =0.82; with two first consecutive recordings (M2) R 2 =0.86; and with three recordings (M3) R 2 =0.89. Deviations of milk yield up to 500 kg in a standard lactation (<1.6 kg/day) were as follows: with the model M0, they occurred in 53.4% of PPC; with M1, they occurred in 56.3% of PPC; with M2, they occurred in 64.5% of PPC; and with M3, they occurred in 70.9% of PPC. We concluded that the developed system of regression models is an appropriate method for milk yield prediction of PPC.

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Section: Introductionmentioning

confidence: 99%

Prediction of Standard Lactation Curves for Primiparous Holstein Cows by Using Corrected Regression Models

Jeretina

Babnik

Škorjanc

2015

Italian Journal of Animal Science

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“…Previous knowledge with the expected peak yield will help for arrange the feeding strategy to allow economic management of feed for covering the animal's requirement, reduce cost and possibly maintain peak yield for as long as possible (Amin 2003;Grzesiak et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Lactation curves and body weight changes of Alpine, Saanen and Anglo-Nubian goats as well as pre-weaning growth of their kids

Rubio

Kholif

Salem

et al. 2015

Journal of Applied Animal Research

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Submit your article to this journal Thirty-six goats: 15 Alpine (AG), 13 Saanen (SG) and 8 Anglo-Nubian (ANG) were used to evaluate dry matter intake (DMI), body weight (BW) changes and milk production to validate Wood's model in lactation curves. The kids preweaning weight, weaning weight (WW) and daily weight gain (DWG) were determined. Milk production was measured daily for a period of 90 d. The DWG was quantified daily, while BW was recorded weekly. Performance of 48 kids (20 AG, 15 SG and 13 ANG), aged 15 d were evaluated. Wood's model was utilised to describe goat's lactation curve in the different studied goat breeds. Milk production was differed between breeds and according to the number of kids suckled (P < 0.05). Both of DMI and BW showed a linear increase (P < 0.05) during the studied period. Both of WW and DWG were unaffected by type of kidding and breed and were higher in males than in females. It is suggested that equation of Wood's model is adequate to describe the lactation curve in studied goat breeds. The ANG and AG breeds versus SG had more persistence for milk production which was higher for those with single type of birth than those with twins.

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“…The parameters of the Wood's function define the shape of the lactation curve and estimate the milk yield in a particular stage of lactation and thus the persistency index of lactation. Koçak et al (2008) or Grzesiak et al (2003) compared several mathematical models of the lactation curve.…”

Section: Introductionmentioning

confidence: 99%

The effect of the calving season on the Wood’s model parameters and characteristics of the lactation curve in Czech Fleckvieh cows

et al. 2013

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The aim of this study was to determine the effect of a calving season on the Wood's model parameters of the lactation curve and its characteristics in Czech Fleckvieh cows.The observed Czech Fleckvieh cows (with minimum of 75 % of Czech Fleckvieh breed in the genotype) born between 1994-2007 formed three parity groups: parity 1 with 350853 cows, parity 2 with 269276 cows and parity 3 with 175029 cows. All the parity groups were further classified by the calving season: winter (December-February), spring (March-May), summer (June-August) and autumn (September-November). The Wood's function parameters (a, b, c) were calculated and the lactation characteristics estimated were: partial milk yields per 1-100 days, 100-200 days and a total milk yield of 305 days, the peak yield -amount and day, index of persistency 2 : 1 and a coefficient of the declination rate of the lactation curve. The calving season significantly affected the parameters (a, b, c) of the lactation curve, the persistency of lactation and the number of days-in-milk at peak yield; it had no significant effect on the other characteristics. In general, the cows which calved in winter and autumn had more persistent lactations, regardless of the number of lactation. The first-parity cows reached the peak yield sooner when they calved in summer, the older cows in summer and autumn.

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Prediction of 305-day first lactation milk yield in cows with selected regression models

Cited by 13 publications

References 23 publications

Prediction of Standard Lactation Curves for Primiparous Holstein Cows by Using Corrected Regression Models

Prediction of Standard Lactation Curves for Primiparous Holstein Cows by Using Corrected Regression Models

Lactation curves and body weight changes of Alpine, Saanen and Anglo-Nubian goats as well as pre-weaning growth of their kids

The effect of the calving season on the Wood’s model parameters and characteristics of the lactation curve in Czech Fleckvieh cows

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