Heritability estimates and genetic correlations of various production and reproductive traits of different grades of dairy cattle reared under subtropical condition

Ali, Ilyas; Suhail, Syed Muhammad; Shafiq, Muhammad

doi:10.1111/rda.13458

Cited by 21 publications

(7 citation statements)

References 15 publications

(23 reference statements)

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“…The heritability estimates obtained in the present study are in agreement with those recently reported by other authors, with values ranging from 0.03 to 0.09 for DO, 0.02 to 0.07 for CI and 0.03 to 0.07 for DPR (Ali et al., 2019; Gibson & Dechow, 2018; Haile‐Mariam et al., 2013) . Despite the low heritability values, different countries have considered the importance of including reproductive traits in breeding objectives as a strategy to overcome the decline of reproductive performance of cows in dairy herds (Cole & VanRaden, 2018; Miglior et al, 2017; Miglior et al., 2005).…”

Section: Resultssupporting

confidence: 93%

Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle

Silva

Lopes

Carvalheira

et al. 2020

Reprod Domestic Animals

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Reproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included in the top groups. Overall, the results of model‐fitting criteria, genetic parameters estimates and EBV predictions were favourable to the AR model, indicating that it may be applied for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle.

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Section: Resultssupporting

confidence: 93%

Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle

Silva

Lopes

Carvalheira

et al. 2020

Reprod Domestic Animals

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“…За даними (Ali et al, 2019), коефіцієнт успадковуваності (h 2 ) інтервалу DO у різних порід худоби становив 0,09 ± 0,121, також виявлено достовірну генетичну кореляцію між DO та надоєм за лактацію (r = 0,24; p ≤ 0,01). Це означає, що селекція на збільшення надою впливає на збільшення тривалості DO.…”

Section: аналіз останніх досліджень і публікаційunclassified

Genetic determination of reproduction rate traits in dairy cattle breeding

Ruban¹,

Matvieiev²

2021

animal

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Modern cattle selection programs are characterized by the increase of traits with a low level of genetic determination. This change is associated to a technical means of verification capabilities (automated milking systems, behavioral video surveillance systems, control of rumination process, etc.), the success of genomics when selection based on genetic markers requires additional controls over the phenotypic changes. But the basic selection remains the production economy-based selection process. Recently, more features related to reproduction and productive longevity or animal health have been included in this group. A study was carried out on the effects of genetic and environmental factors on the voluntary waiting period, the open days and milk productivity. A new feature was identified – the insemination period which was defined as the difference between the length of the open days and the waiting period. Investigations were carried out on Holstein cows (605 heads in total), the average milk yield which amounted 8777 kg. The majority of the primary information was the data of the Uniform Agri program, which analyzed using variance and correlation-regression analysis. Weak probable impact of the «father» factor on the 305-day milk yield of lactation (11.5 %), the open days (5.4 %) and the insemination period (5.2 %) was identified. A positive, reliable and weak correlation was found between lactation milk yields and service period (0.115, p ≤ 0.01.), and between service period and voluntary waiting period (0.257, p ≤ 0.01). The dependence of the length of the service period and the voluntary waiting period on paratypic factors such as the age of cow’s lactation and the month of their calving is investigated. As such, a tendency to reduce the length of the open days and the voluntary waiting period in cows with each subsequent lactation. It is found that the length of the voluntary waiting period was the largest in cows that calved in November, March, May, and the shortest – in August. At the same time, cows that had calved in March was the largest the open days, and with calving in February – the shortest. It was concluded that the possibility of using the value of the insemination period in the selection programs. The possibility of using the traits of the level of reproduction in the selection programs has been proven.

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“…In general, the heritability explains the difference among individual cows associated with genetic variance (Ali et al, 2019). Therefore, the low heritability estimates of traits indicate that the influence of herd management and other environmental factors were greater than the genetic background (Badr and Amer, 2020).…”

Section: Data Presented In Table (mentioning

confidence: 99%

Evaluation of Some Economical Traits of Commercial Friesian Cows Herd Raised in Egypt

Farrag

Shalaby

Gabr

et al. 2020

Journal of Animal and Poultry Production

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This study conducted to evaluate some of non-genetic and genetic parameters that affect the productive and reproductive traits. Total of 3596 records of 1021 Holstein Friesian cows in the first five parities were collected during the period from 2002 to 2016 from a commercial farm. The details values of productive traits (total milk yield (TMY, kg), lactation period (LP, day) and dry period (DP, day)), as well as, details values of reproductive traits (days open (DO, day), number of services per conception (NSC), age at first calving (AFC, months) and calving interval (CI, day)) were considered. The effects of season of calving and parity on productive and reproductive traits were also examined. The results revealed that the season of calving and parity had significant effect on all the studied traits. Heritability estimates for TMY, LP, DP, DO, CI, NSC and AFC are 0.110, 0.089, 0.071, 0.100, 0.103, 0.123 and 0.168, respectively. The phenotypic correlations of all studied traits were positive and ranged from 0.016 to 0.989, except that between TMY and all the reproductive traits as well as DP were negative. The values of genetic correlations among all studied productive and reproductive traits were positive and ranged from 0.031 to 0.998, except DP and TMY was negative. The present study is an effective way for using in improving programs for milk yield of Holstein Friesian cows in commercial farms.

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Heritability estimates and genetic correlations of various production and reproductive traits of different grades of dairy cattle reared under subtropical condition

Cited by 21 publications

References 15 publications

Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle

Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle

Genetic determination of reproduction rate traits in dairy cattle breeding

Evaluation of Some Economical Traits of Commercial Friesian Cows Herd Raised in Egypt

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