Models Describing Growth Characteristics of Holstein Dairy Cows Raised in Korea

Vijayakumar, Mayakrishnan; Choy, Yun Ho; TaeIl, Kim; Lim, Dong-Hyun; Park, Seong-Min; Alam, Mahboob; Choi, Hee-Chul; Ki, Kwang-Seok; Lee, Hyun-Jeong

doi:10.5333/kgfs.2020.40.3.167

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Previous researchers concluded that the order of four (cubic) provides a better fit and better reflects the reality of the changes (Sarmento et al 2011). It does not overestimate body weight measurement compare to the non-linear model (Vijayakumar et al 2020). However, there is a limitation of polynomial function where the growth curve cannot be extrapolated, as shown in Figure 3B.…”

Section: Resultsmentioning

confidence: 99%

The Growth Performance and Costs of Rearing Friesian Crossbreed Dairy Young Stock in Malaysian Commercial Farm

Tong

Nor

Sithambaram

et al. 2021

jma

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The important elements in rearing dairy young stock are good farm management, proper growth and optimal costs of rearing. A survey on these important elements was conducted at two commercial farms in Johor and Sabah in 2019. The farm herd size is 214 heads and 2,221 heads with 163,682 litres and 4.2 mil. litres of milk production, in Johor and Sabah respectively. In addition, the body weight data of 188 dairy young stock was collected and analysed to determine the growth performance using polynomial growth function. The results showed the two farms have youngstock with different Friesian blood levels (60% and 70% in Johor, and 87.5% in Sabah) with different growth performance. The average weight of dairy young stock with 60%, 70% and 87.5% Friesian blood levels at birth were 21.31±3.70kg, 22.33±2.23kg and 26.55±2.68kg, respectively, while average weight at 3 months of age were 45.00±7.07kg, 55.57±8.36kg and 75.84±12.54kg, respectively. Heifers with 87.5% Friesian blood levels was bred at 15 months of age (444kg) while heifers with lower Friesian blood levels was bred 6 months later (250kg). The average rearing (feed) cost was RM4,932 (USD1,194)/heifer. The findings of this study can give awareness and insights in the performance and costs of rearing crossbreed dairy young stock in tropics.

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Section: Resultsmentioning

confidence: 99%

The Growth Performance and Costs of Rearing Friesian Crossbreed Dairy Young Stock in Malaysian Commercial Farm

Tong

Nor

Sithambaram

et al. 2021

jma

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Comparison of growth curve models for Ongole Grade cattle

Adinata

Noor

Priyanto

et al. 2022

Trop Anim Health Prod

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Growth curves are important for understanding the growth phase and speci c characteristics of farm animals. This study evaluated growth curve models to predict the age at puberty and growth rate of Ongole Grade cattle. The study used the weights of cattle from birth to 3 years old in 2011 to 2019 obtained from the Beef Cattle Research Station. The data were analyzed using three non-linear growth curve models: von Bertalanffy, logistic, and Gompertz. The coe cients of determination (R 2 ) of the growth equation for the respective models were 0.996, 0.981, and 0.992. The estimated age and body weight at puberty for each model were 6.43 months and 144.09 kg, 13.94 months and 164.082 kg, and 11.76 months and 169.571 kg, respectively. The Gompertz function best t the growth rate and exhibited the smallest standard deviation.

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A comparative study to choose the appropriate growth model to forecast COVID-19 cases in Iraq

Hussain

2022

J. Phys.: Conf. Ser.

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COVID-19 infection cases forecasting is a process of estimating future values based on historical data which is playing an important role in health decision making in various fields. Daily infection cases of COVID-19 can be considered as a time series represent the growth of the number of infected persons in a population. Consequently, the growth models may be used to forecast any population growth such as population of infected people with the Covid-19 virus. The popular models of growth such as logistic, log-logistic, Gompertz, Weibull and Richards models are useful to describe the growth of many phenomena like an epidemic and the spread of the number of infected people. The main objective of this paper is to choose a successful growth model after comparing these models to make good use of the current data on COVID-19 in Iraq to better understand the spread of this disease and to forecast the future daily infection cases. AIC, BIC and other goodness of fit criteria and daily infection cases in Iraq for the period from 1st Jan. 2021 until 30th April 2021 were used to compare these models and choose the successful model. The results of fitting these model show that the appropriate models are Weibull type 1 and log-logistic with five parameters models, and the predicted numbers of infected cases are near the actual numbers of infected cases.

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Models Describing Growth Characteristics of Holstein Dairy Cows Raised in Korea

Cited by 3 publications

References 15 publications

The Growth Performance and Costs of Rearing Friesian Crossbreed Dairy Young Stock in Malaysian Commercial Farm

The Growth Performance and Costs of Rearing Friesian Crossbreed Dairy Young Stock in Malaysian Commercial Farm

Comparison of growth curve models for Ongole Grade cattle

A comparative study to choose the appropriate growth model to forecast COVID-19 cases in Iraq

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