Effect of Non-genetic Factors on Test Day Milk Yield and First Lactation 305 Day Milk Yield in Jaffarabadi Buffaloes

Sharma, H. A.; Gajbhiye, P. U.; Ramani, A.L.; Ahlawat, A. R.; Dongre, V.B.

doi:10.5958/2277-940x.2017.00047.x

Cited by 1 publication

(3 citation statements)

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“…As examples of model behaviour in predicting the cumulative lactation curves for the five functions (supplementary material), observed datapoints and fitted curves with the data of Sahoo et al (2014) are illustrated in Fig. 1, whereas Supplementary Figure S1 shows the results for the dataset reported by Sharma et al (2017) during the years 2006-2010.…”

Section: Resultsmentioning

confidence: 99%

“…1, whereas Supplementary Figure S1 shows the results for the dataset reported by Sharma et al . (2017) during the years 2006–2010.…”

Section: Resultsmentioning

confidence: 99%

“…The data reported in the publication were the average milk yields (means of all the values recorded at a given time) recorded from 5 to 305 d in milk (DIM) with intervals of 15 d, resulting in lactation curves with a total of 21 datapoints. The other dataset was developed from first lactation records of 213 Jaffarabadi buffalo from history-cum-pedigree catalogues gathering data over a period of 20 years (from 1991 to 2010: Sharma et al , 2017). In this publication, four lactation curves were reported, corresponding to the average curves for each of the four quinquennia (1991–1995, 1996–2000, 2001–2005, 2006–2010) encompassed in the study.…”

Section: Methodsmentioning

confidence: 99%

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Comparison of nonlinear functions to describe lactation curves for cumulative milk production in buffalo

Darmani Kuhi,

López,

Ghavi Hossein-Zadeh

et al. 2024

Journal of Dairy Research

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The aim of this study was to examine the suitability of different growth functions (linear, sinusoidal, Gompertz, Schumacher and Richards) to fit cumulative milk production data from buffalo cows. Cumulative milk production at each day in milk was calculated from two published datasets reporting (i) fortnightly test-day milk yield records of the first lactation of Murrah buffalo that had calved during 1977–2012 and (ii) the first lactation records of Jaffarabadi buffalo collected from history-cum-pedigree registers for each quinquennium between 1991 and 2010. Each function was fitted to the lactation curves using nonlinear regression procedures. The Richards and sinusoidal equations provided the smallest root mean square error values, Akaike's and Bayesian information criteria and, therefore, the best fit for the cumulative lactation curves for milk yield. The Richards equation appeared to provide the most accurate estimate of the cumulative milk production at peak milk yield. Sinusoidal and flexible classical growth functions are appropriate to describe cumulative milk production curves and estimate lactation traits in buffalo.

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Section: Resultsmentioning

confidence: 99%

“…1, whereas Supplementary Figure S1 shows the results for the dataset reported by Sharma et al . (2017) during the years 2006–2010.…”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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