Lactation Curve Modeling For Dhofari Cows Breed

Bahashwan, Salim

doi:10.3923/ajava.2018.226.231

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…The literature shows that curves constructed based on test-day data are often modelled with the use of the following functions: Wilmink, Wood, Ali-Schaeffer, Brody, Pollott, Dijkstra, Legendre polynomials [1][2][3][4][5][6]. Ordinarily, in dairy production milkings, recording systems are based on test-day records [7,8]. Since records are prepared once a month, peak yield may be overlooked.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Sitkowska

Kolenda

Piwczyński

2020

Asian-Australas J Anim Sci

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Objective: The aim of the paper was to compare the fit of data derived from daily automatic milking systems (AMS) and monthly test-day records with the use of lactation curves; data was analysed separately for primiparas and multiparas.Methods: The study was carried out on three Polish Holstein-Friesians (PHF) dairy herds. The farms were equipped with an automatic milking system which provided information on milking performance throughout lactation. Once a month cows were also subjected to test-day milkings (method A4). Most studies described in the literature are based on test-day data; therefore, we aimed to compare models based on both test-day and AMS data to determine which mathematical model (Wood or Wilmink) would be the better fit.Results: Results show that lactation curves constructed from data derived from the AMS were better adjusted to the actual milk yield (MY) data regardless of the lactation number and model. Also, we found that the Wilmink model may be a better fit for modelling the lactation curve of PHF cows milked by an AMS as it had the lowest values of Akaike information criterion, Bayesian information criterion, mean square error, the highest coefficient of determination values, and was more accurate in estimating MY than the Wood model. Although both models underestimated peak MY, mean, and total MY, the Wilmink model was closer to the real values.Conclusion: Models of lactation curves may have an economic impact and may be helpful in terms of herd management and decision-making as they assist in forecasting MY at any moment of lactation. Also, data obtained from modelling can help with monitoring milk performance of each cow, diet planning, as well as monitoring the health of the cow.

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Section: Introductionmentioning

confidence: 99%

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Sitkowska

Kolenda

Piwczyński

2020

Asian-Australas J Anim Sci

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“…The economics and risk e ciency of introduction of Alfalfa crop in the feed ration are examined and result shows feeding cow with Alfalfa forage is good strategy for high milk production level and reduce feeding cost at lower milk production level of 15…”

Section: Resultsmentioning

confidence: 99%

“…The study examined introduction of Alfalfa crop in the feed ration to maximize forage quality used in the rations, high ber contend in Alfalfa will increase intake to the maximum limit to realize potential milk production. The cow feed risk management scenario shows feeding cow with Alfalfa forage is good strategy for high milk production level and reduce feeding cost for milk production level of 15 3Below.…”

Section: Certainty Equivalent Value and Assessment Of Present Dairy Cmentioning

confidence: 99%

“…Dhofari cow breed lactation curve is formed from 173 dairy herds data record at Salalah livestock Research Station during 2010 and 2014. The study shows peak yield of 9.72 kg/day, peak time 60 days 305 days milk yield of (1580) kg, Salim Bahashwan (2018). The livestock farmers at Jabal area feed their animal with Rhodes Grass forage crops, commercial concentrate, dates and dried sardines sh and only surplus and excess bulls are sold to the local market.…”

Section: Introductionmentioning

confidence: 96%

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Economics of Dairy Cow Feed Risk Management Strategies and Policy Analysis

Ishag¹

2020

Preprint

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Abstract Background : Oman traditional dairy sector recorded cow population of 382k cows required about 872k tons of Dry Mater feed per year. The raw milk production of traditional sector is low due to un-availability of formal marketing channels facilities and limited sources of local feedstuffs. The poor animal nutrition in study area caused by multiple factors associated with lack of adequate quantity and quality of feed available. The pastureland in Dhofar Region are severely degraded due to over-grazing and lack of appropriate grazing and feed management. This situation not only cause financial losses but have social, environmental and animal welfare consequences.Result : The stochastic budgeting models examined three dairy cow feed strategies and found existing livestock farming system and feeding cows with Rhodes Grass hay and concentrate with low yield of 10 Liter, 8 liters and 6 Liters milk production per day obtain the lowest net return with high probability of negative Net Returns (NRs) of 28.86%, 44.29% and 54.11% respectively. The risk premium price of RO 0.223 per liter is required to be paid to convince farmers to switch from low milk production of 6 Liters/day to a higher milk production of 10 Liters/day and reduce negative NRs risk within current feed management strategy. The Government support program are needed to facilitate formal market channels and risk premium of RO 0.297 per liter is calculated as amount of money to be paid to farmer to compensate facing risk of un availability of market access promotion facilities and compensate farmers to switch from 6 liters to 12 liters milk production level per day and feed cow with risk efficient feed strategy with Maize silage, Rhodes grass and concentrate. Conclusion : The economics, risk efficient feed management are examined and result shows feeding cow with Alfalfa forage is good strategy for high milk production cows and reduce feeding cost at low milk production level. Feeding Maize Silage and Rhodes Grass hay and concentrate is risk efficient and mitigate and manage risk at downside level if forage quality and reasonable price are maintained to livestock farmers. The formal marketing access support and improve feed risk management strategies will enhance farmers’ income, rural development and achieve environmental and economic sustainability.

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“…The MY 305 was evaluated as described by Vargas et al (2000). For all models, time to peak (TP) was assumed to be the month with the highest test-day milk yield of the cow and peak yield (PY) of a cow was the highest test-day milk yield of the lactation, calculated according to Bahashwan (2018) and Hossein-Zadeh (2018). The MY 305 , TP, PY, and persistency of milk yield were estimated in the two best models, according to evaluation criteria of quality of fit (RMSE, AIC, and BIC).…”

Section: Lactation Curve Modelsmentioning

confidence: 99%

Breed, heterosis, and recombination effects for lactation curves in Brazilian cattle

Daltro¹,

Padilha²,

Gama³

et al. 2021

Revista Brasileira De Zootecnia

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Breeding and geneticsFull-length research article Breed, heterosis, and recombination effects for lactation curves in Brazilian cattle ABSTRACT -The objective of this study was to estimate the breed, heterosis, and recombination effects on different components of the lactation curve of Girolando cattle. The dataset used consisted of 12,121 purebred cows of Holstein (H) and Gyr (G) breeds, and six H×G crossbred cows (Girolando). The model used presents random effects of herd and cow, regression coefficient associated with linear effect of proportion of H breed, regression coefficient associated with the linear effect of heterosis between H and G breeds, regression coefficient associated with the linear effect of recombination between H and G breeds, and random effect of residual. Dijkstra's (DJ), Nelder's (ND), Wilmink's (WL), and Wood's (WD) models were tested to fit production records of these different genetic groups. These models were then tested according to evaluation criteria of quality of fit (AIC, BIC, and RMSE), and the two best models (WD and WL) were chosen for estimation of 305-day milk yield (MY 305 ), peak yield, time to peak, and persistency of milk yield. The breed effect was significant for all traits and components of the lactation curve. The heterosis effect was significant for all traits, and was more significant for MY 305 (945.62±79.17 kg). Peak yield was the component of lactation curve that presented the most significant heterosis effect, partially explaining the heterosis effect (12 to 21%) found for MY 305 . The recombination effect was positive only for lactation period and time to peak of lactation in Girolando cows.

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Lactation Curve Modeling For Dhofari Cows Breed

Cited by 4 publications

References 9 publications

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Economics of Dairy Cow Feed Risk Management Strategies and Policy Analysis

Breed, heterosis, and recombination effects for lactation curves in Brazilian cattle

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