Efficiency of various measures of persistency of milk yield in Sahiwal cattle

Kaushal, S.; Gandhi, R. S.; Singh, Avtar; Chaudhari, M. V.; Prakash, Ved; Gupta, Atul

doi:10.18805/ijar.9543

Cited by 6 publications

(11 citation statements)

References 5 publications

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“…Season is one of the key factors affecting persistency. The present results on significant effect of season of calving were in agreement with the outcomes of Rao and Sundaresan (1982), Solkner and Fuchs (1987), Kumar and Singh (2004;, Kaushal et al (2016) in different breeds of cattle. According to Ratio method rainy calvers had more persistency than other seasonal calvers.…”

Section: Resultssupporting

confidence: 92%

“…The present findings of significance of period of calving in Tharparkar cattle were in support with that of Tekerli et al (2000), Rekik et al (2003), Kumar and Singh (2004; and Fadlelmoula et al (2007) in different crossbred and exotic cattle and Kaushal et al (2016) in Sahiwal cattle. No regular trend in different measures of persistency was observed over different periods.…”

Section: Persistency Indicessupporting

confidence: 90%

“…These findings were higher than our estimate in Tharparkar cattle. In Sahiwal cattle low lactation persistency of 87.86 ± 1.61 reported by Sachan et al (2020) and 194 ± 1.10 was reported by Kaushal et al (2016).…”

Section: Resultsmentioning

confidence: 79%

“…Atashi et al (2006) estimated by solkner and Fuchs 305 days method in Holstein Friesian cattle (4.120±0.0079) which was higher than Tharparkar cattle. Kaushal et al (2016) in NDRI, Karnal estimated P3 and P4 as 2.29 ± 0.04 and 2.20 ± 0.03 in Sahiwal cattle.…”

Section: Resultsmentioning

confidence: 87%

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Estimation and comparison of different lactation persistency methods in Tharparkar cattle

George

Gupta

et al. 2021

IJDS

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The present study was undertaken to evaluate the various measures of lactation persistency and to estimate effect of various non-genetic factors affecting the persistency of milk production and comparison of different persistency indices using standard error as percentage of mean in Tharparkar cattle. A total of 322 lactation records of 138 Tharparkar cattle were collected from history cum pedigree sheet maintained at

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Section: Resultssupporting

confidence: 92%

Section: Persistency Indicessupporting

confidence: 90%

Section: Resultsmentioning

confidence: 79%

Section: Resultsmentioning

confidence: 87%

See 2 more Smart Citations

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

George

Gupta

et al. 2021

IJDS

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“…Wood's gamma function (Wood, 1968) is one of the examples of Mathematical lactation curve model. Among these, the estimation of persistency derived from ratio method is considered to be most effective as compared to other methods (Kaushal et al, 2016) . The objective of this study was firstly to estimate the effect of days in milk (DIM), peak milk yield (PMY), dry period (DP), calving interval (CI), parity and season of calving on 305-day milk yield (305-DMY).…”

Section: Introductionmentioning

confidence: 99%

Effect of Some Non-Genetic Factors on 305-day Milk Yield and Lactation Persistency in Holstein Friesian Cows

Abo-Gamil

El-Qaliouby

Manaa

et al. 2021

Benha Veterinary Medical Journal

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This study was performed on productive data collected from private farm of Holstein Friesian cows. The objective of this study was to evaluate the effect of days in milk (DIM), peak milk yield (PMY), dry period (DP), calving interval (CI), parity, and season of calving on 305-day milk yield (305-DMY). And the effect of 305-day milk yield (305-DMY), peak milk yield (PMY), days in milk (DIM), parity, and season of calving on lactation persistency. We found that DIM, parity, and PMY had significant effect on 305-DMY, the highest milk production was obtained when DIM more than 357 days and in the 1st lactation. Moreover, PMY, 305-DMY, and season of calving had significant effect on lactation persistency. In addition, average estimated breeding value (EBV) for 305-DMY, PMY and CI was higher in sire than in cow and dam. Also, Average estimated breeding values for lactation persistency, DP, and DIM were higher in dam than in cow and sire.

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Genetic analysis of persistency in HF crossbred cattle at an organized farm of northern India

Sharma

Narang

Kashyap

et al. 2018

Trop Anim Health Prod

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The present study was undertaken to estimate effect of various genetic and non-genetic factors on persistency of milk production and to identify the most appropriate persistency method that fits best in our environment. In the present study, effects of different non-genetic factors, viz. year, season, days to attain peak yield, and genetic group based on the level of exotic inheritance on persistency of milk yield in crossbred cattle were studied. Data comprised of 686 first lactation daily milk yield records of crossbred cattle that were maintained at GADVASU dairy farm over a period of 25 years from 1991 to 2015 were utilized to calculate persistency coefficients by four methods, viz., Ludwick and Peterson method (P1), Mahadevan method (P2), ratio method (P3), and Prasad et al. method (P4). Overall least squares means for persistency by Ludwick and Peterson method (P1), Mahadevan method (P2), ratio method (P3), and Prasad et al. method (P4) were 0.896 ± 0.096, 1.385 ± 0.224, 187.207 ± 26.398, and 0.621 ± 0.098, respectively. Effect of sires was significant (P < 0.05) on P2 and P4 methods. Effect of genetic group on all four methods was non-significant. Period of calving had significant (P < 0.01) effect on persistency of milk yield (P2, P3, and P4 methods). Effect of season of calving on persistency of milk yield was found to be significant in all estimates obtained by the four methods. Summer and autumn calvers were most persistent whereas spring and winter calvers were least persistent for (P2, P3, and P4 methods). Persistency of milk yield was significantly (P < 0.05) affected by days to attain peak yield in P1 and P2 methods. Maximum persistency was obtained in animals attaining peak at 41-57 days of lactation and minimum in < 41 days for Mahadevan method and ratio method. The highest heritability of persistency and minimum value of standard error was estimated as 0.275 ± 0.11 for the Mahadevan method followed by the Prasad method (0.197 ± 0.10) by half sib correlation method. The maximum coefficient of variation which indicates available variability was estimated as 20.788% for persistency by the Mahadevan method followed by 18.969% for the Prasad method. The highest correlation was also observed between P1 and P3 methods by Spearman's and Pearson's correlation for least squares breeding value of the sires. On the basis of heritability, standard error of heritability, and coefficient of variation, it can be concluded that the Mahadevan method followed by the Prasad method suits best to our environment for animals in first lactation as well as they can be utilized for effective selection for higher persistency in crossbred animals of Punjab.

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Efficiency of various measures of persistency of milk yield in Sahiwal cattle

Cited by 6 publications

References 5 publications

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

Effect of Some Non-Genetic Factors on 305-day Milk Yield and Lactation Persistency in Holstein Friesian Cows

Genetic analysis of persistency in HF crossbred cattle at an organized farm of northern India

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