Risk factors and genetic analysis of pre-weaning mortality in Barki lambs

Sallam, Ahmed M.

doi:10.1016/j.livsci.2019.103818

Cited by 15 publications

(10 citation statements)

References 29 publications

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“…(2017) reported that 80% of neonatal lamb mortalities occurred within the first two days of life. Sallam (2019) found that average mortality risk for Barki sheep reared at a research station in Egypt was 4.6% for lambs 0–3 days of age, 5.4% for lambs 4–60 days of age, and 2.2% for lambs 61–90 days of age. Turkson (2003) found that for lambs from birth to 12 months of age, 75.6% of the mortalities occurred between 0–3 months, compared to 24.4% occurring between 4–12 months of age.…”

Section: Resultsmentioning

confidence: 99%

Refining livestock mortality indicators: a systematic review

2021

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Background: Livestock mortality impacts farmer livelihoods and household nutrition. Capturing trends in livestock mortality at localised or national levels is essential to planning, monitoring and evaluating interventions and programs aimed at decreasing mortality rates. However, livestock mortality data is disparate, and indicators used have not been standardised. This review aims to assess livestock mortality indicator definitions reported in literature, and define the ages where mortality has greatest impact. Methods: A systematic review was conducted, limited to articles focussed on mortality of cattle, sheep and goats. Peer-reviewed articles in Web of Science until year 2020 were assessed for inclusion of age-based definitions for mortality indicators and data on age distribution of mortality. Indicator definitions for each species were collated and similar terms and age groups most targeted were compared. The cumulative distribution of age at mortality was compared across studies graphically where possible; otherwise, age patterns for mortality were collated. Results: Most studies reported mortality risk rather than rate, and there was little agreement between indicator definitions used in the literature. The most common indicators reported were perinatal and neonatal mortality in cattle, and for perinatal, neonatal and pre-weaning mortality indicators for sheep and goats. Direct comparison of age distribution of mortality was only possible for cattle, which found that approximately 80% of all mortalities within the first 12 months had occurred by six months of age. A significant finding of the study is the variation in age groups for which mortality is reported, which impedes the comparison of mortality risk across studies, particularly for sheep and goats. Conclusions: This study demonstrates the importance and value of standardising mortality risk indicators for general use, including a young stock mortality risk indicator measuring mortality in the highest risk period of birth to six months of age in cattle, sheep and goats.

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Section: Resultsmentioning

confidence: 99%

Refining livestock mortality indicators: a systematic review

2021

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“…In Egypt, Barki sheep are considered as one of the three major sheep breeds [ 5 ]. They are dominate in the North Western Coastal Zone, extending from the Libyan boarders to the west of Alexandria of Egypt with a total of population near to 406,360 [ 6 ], which is estimated to be about 8% of the total number of sheep population in Egypt ( http://www.fao.org/faostat/en/#data ). Barki sheep are well adapted to live and produce under hard conditions of shortage food supply and water resources.…”

Section: Introductionmentioning

confidence: 99%

A missense mutation in the coding region of the toll-like receptor 4 gene affects milk traits in Barki sheep

Sallam

2021

Anim Biosci

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Objective: Milk production is one of the most desirable traits in livestock. Recently, the toll-like receptor (TLR) has been identified as a candidate gene for milk traits in cows. So far, there is no information concerning the contribution of this gene in milk traits in sheep. This study was designed to investigate the TLR 4 gene polymorphisms in Barki ewes in Egypt and then correlate that with milk traits in order to identify potential single nucleotide polymorphisms (SNPs) for these traits in sheep.Methods: A part of the ovine TLR 4 gene was amplified in Barki ewes, to identify the SNPs. Consequently; Barki ewes were genotyped using polymerase chain reaction-single strand conformation polymorphism protocol. These genotypes were correlated with milk traits, which were the daily milk yield (DMY), protein percentage (PP), fat percentage (FP), lactose percentage, and total solid percentage (TSP).Results: Age and parity of the ewe had a significant effect (p<0.05 or p<0.01) on DMY, FP, and TSP. The direct sequencing identified a missense mutation located in the coding sequence of the gene (rs592076818; c.1710C>A) and was predicted to change the amino acid sequence of the resulted protein (p.Asn570Lys). The association analyses suggested a significant effect (p<0.05) of the TLR genotype on the FP and PP, while the DMY tended to be influenced as well (p = 0.07). Interestingly, the presence of the G allele tended to increase the DMY (+40.5 g/d) and significantly (p<0.05 or p<0.01) decreased the FP (–1.11%), PP (–1.21%), and TSP (–7.98%).Conclusion: The results of this study suggested the toll-like receptor 4 (TLR4) as a candidate gene to improve milk traits in sheep worldwide, which will enhance the ability to understand the genetic architecture of genes underlying SNPs that affect such traits.

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“…Several studies conducted in sheep have reported low heritability estimates in different pre-weaning periods. Sallam [44] reported that heritability estimates ranged from 0.011 to 0.020 for D0-3, D4-60, D61-90, and D0-90 in Barki lamb in Egypt. Brien et al [45] found similar results for D0-3 and D4-85 in different sheep breeds in Australia, with heritability estimates of 0.014 and 0.010, respectively.…”

Section: Genetic Parameters For Pre-weaning Mortality Traitsmentioning

confidence: 99%

“…For example, Hansen et al [47] estimated a genetic correlation of 0.73 between D1-14 and D15-60 in Danish Holstein cattle. Sallam [44] reported moderate to high genetic correlations among PWM traits, ranging from 0.72 (D0-3 and D4-60) to 0.95 (D4-60 and D61-90) in Barki lamb in Egypt. Ibi et al [48] estimated a moderately high genetic correlation of 0.69 between D15-60 and D61-180, 0.50 between D1-14 and D15-60, but low genetic correlation of 0.06 between D1-14 and D61-180 in Japanese Black beef cattle.…”

Section: Genetic Parameters For Pre-weaning Mortality Traitsmentioning

confidence: 99%

Risk Factor Analysis and Genetic Parameter Estimation for Pre-Weaning Mortality Traits in Boer, Spanish, and Crossbred Goat Kids

Chen,

Foxworth,

Horner

et al. 2024

Animals

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The objectives of this study were to evaluate fixed risk factors associated with PWM and to estimate genetic parameters for PWM. A total of 927 birth records from a mixed population of purebred and crossbred Boer and Spanish goats born between 2016 and 2023 at the International Goat Research Center (IGRC) were used for this study. Four binary traits were studied: D0–3 (death within 3 days after birth), D4–60 (death between 4 and 60 days), D61–90 (death between 61 and 90 days), and D0–90 (death within 90 days). Logistic regression models were used to evaluate the risk factors associated with PWM traits. Bayesian threshold models and Gibbs sampling were used to estimate the genetic parameters. Birth weight, season, litter size, sex, dam age, breed, and heterosis were found to be significantly associated with at least one of the PWM traits. Heritability estimates were 0.263, 0.124, 0.080, and 0.207, for D0–3, D4–60, D61–90, and D0–90, respectively. The genetic correlations between the studied traits ranged from 0.892 (D0–3 and D0–90) to 0.999 (D0–3 and D61–90). These results suggest that PWM in goats is influenced by both non-genetic and genetic factors and can be reduced by management, genetic selection, and crossbreeding approaches.

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Risk factors and genetic analysis of pre-weaning mortality in Barki lambs

Cited by 15 publications

References 29 publications

Refining livestock mortality indicators: a systematic review

Refining livestock mortality indicators: a systematic review

A missense mutation in the coding region of the toll-like receptor 4 gene affects milk traits in Barki sheep

Risk Factor Analysis and Genetic Parameter Estimation for Pre-Weaning Mortality Traits in Boer, Spanish, and Crossbred Goat Kids

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