Estimates of Genetic Parameters and Trends of Lactation Performance Traits of Deoni Cattle

Shingare, V. M.; Chauhan, D.S.; Bhise, B. R.; Ghosh, Nabanita

doi:10.5958/2277-3371.2015.00007.8

Cited by 6 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There was significant negative correlation between peak yield and Prasad method of estimation and also significant negative correlation between Solkner and Fuchs 305 day's method with lactation length (Table 4). In Tharparkar cattle, highly significant positive correlation of lactation persistency with total milk yield (TMY) was found, similar results were reported by Saxena and Kumar (1960), Shewta (2018) and Sharma and Bhatnagar (1972) in Sahiwal cattle as 0.79, 0.5 and 0.56 ± 0.4 respectively and Gill et al (1971) in Hariana cattle (0.36 ± 0.02) and Shingare et al (2015) found in Deoni cattle (0.60 ± 0.47). In Tharparkar cattle negative correlation of peak yield with lactation persistency was found for Prasad method and similar results were reported by Gill et al (1971) and Singh et al (1965) in Hariana cattle (-0.007 and -0.16 respectively).…”

Section: Correlation Of Persistency Indices With Production Traitssupporting

confidence: 83%

“…So based on the breed and their adaptability to different environmental conditions will change therefore they show variation in lactation persistency also. Some workers reported the non-significant effect of season of calving in PhuleTriveni cattle by Garudkar (2018); Jersey breed by Patond et al (2014); Gir by Shingare et al (2015) and Jersey x Hariana by Koley et al (1979). Williams et al (2021) reported that, the lactation length of cow calving in February, March, or April was, on average, 4.2, 12.7, and 21.9 days respectively shorter, relative to cows calving in January.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

George

Gupta

et al. 2021

IJDS

View full text Add to dashboard Cite

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

show abstract

Section: Correlation Of Persistency Indices With Production Traitssupporting

confidence: 83%

Section: Resultsmentioning

confidence: 99%

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

George

Gupta

et al. 2021

IJDS

View full text Add to dashboard Cite

show abstract

“…It was highest during summer season (1910.10±74.27 kg), and minimum during winter season (1870.41 ± 71.28 kg). However, effect of season of calving on 305 DMY of primiparous cow was non significant (Table1) and it is in close agreement withEkka (2014);Shingare et al (2015) andGaikwad et al (2018) for Kankrej cattle, Deoni cattle and Phule Triveni cattle, respectively. Whereas, it is in contrast with the findings ofKakati et al (2017).…”

supporting

confidence: 81%

Effects of genetic and non genetic factors on production performance of primiparous Kankrej cattle

Thakkar¹,

Chaudhary²,

Chaudhari³

et al. 2021

IJDS

View full text Add to dashboard Cite

The effects of genetic and non genetic factors on performance traits (Daily Milk Yield, 305 Days Milk Yield, Total Milk Yield and Lactation Length) of primiparous Kankrej cows was studied. The least square means of daily milk yield, 305 days milk yield, total milk yield and lactation length were calculated and found 6.71±0.14, 1893.42±60.00, 1983.29±72.47 kg and 290.78±7.33 days, respectively. The season and period of calving did not affect these traits, while effects of sire was significant (*P<0.05) on 305 DMY, but it did not have any effect on the traits such as DMY, TMY and LL of primiparous Kankrej cow. On the basis of these observations, we can suggest that proper management practices as well as use of better sire will help to improve the production performance of the herd.

show abstract

“…Service period as a co-variable significantly (P<0.01) affected calving interval in Sahiwal cattle. Shinghare et al (2015) reported non-significant influence of period and season of calving on calving interval however, Manoj et al (2010) reported significant effect of period on calving interval in Sahiwal cattle.…”

Section: Resultsmentioning

confidence: 97%

Genetic analysis of reproductive traits of Sahiwal cattle

Ratwan

Chakravarty

Kumar

et al. 2019

Indian J of Anim Sci

View full text Add to dashboard Cite

Data on first lactation reproduction traits of Sahiwal cattle maintained at an organized herd of the institute over a period of 29 years (1988â€“2016) were analyzed in the present study. Effect of various genetic and nonâ€“genetic factors on first lactation reproduction traits in addition to their genetic control was assessed by using mixed model leastâ€“square analysis. The overall leastâ€“square means for first lactation reproduction traits, viz. age at first service (AFS), age at first calving (AFC), number of services per conception (NSC), conception rate (CR), gestation period (GP), calving to first insemination interval (CFI), service period (SP), calving interval (CI) and pregnancy rate (PR) were 784.84Â±8.03 days, 1116.18Â±10.38 days, 1.86Â±0.11, 0.97Â±0.06, 287.73Â±0.60, 84.75Â±5.01, 119.86Â±8.31, 420.53Â±3.33 days and 0.27Â±0.02, respectively. Analysis of variance revealed that random effect of sire had nonâ€“ significant influence on all the considered traits in present study. Period of birth significantly influenced AFS and AFC. Differences were statistically significant for effect of period of calving on NSC; season of calving on NSC, CR and PR; age group on NSC and CR. The effect of lactation length used as coâ€“variable had significant influence on CFI, SP and PR. Service period as coâ€“variable significantly affected CI. The magnitudes of heritability estimates were low to medium varying from 0.09 to 0.27 for different reproduction traits indicating large role of environment and management for improvement of these traits.

show abstract

Estimates of Genetic Parameters and Trends of Lactation Performance Traits of Deoni Cattle

Cited by 6 publications

References 7 publications

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

Estimation and comparison of different lactation persistency methods in Tharparkar cattle

Effects of genetic and non genetic factors on production performance of primiparous Kankrej cattle

Genetic analysis of reproductive traits of Sahiwal cattle

Contact Info

Product

Resources

About