Animal breeding strategies can improve meat quality attributes within entire populations

Berry, D.P.; Conroy, Stephen; Pabiou, T.; Cromie, A.R.

doi:10.1016/j.meatsci.2017.04.019

Cited by 43 publications

(36 citation statements)

References 99 publications

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“…The exploitation of genomic predictions (Meuwissen et al, 2001) for either the linear scores or the actual primal yields (supplemented with phenotypic data on linear scores) could contribute to increased accuracy, even at a younger age. The high heritability of the primal cut traits (Table 2) signifies that a large proportion of the inter-animal variability in primal cut weights (even when adjusted to a common carcass weight) is influenced by additive genetic merit; therefore, genetic merit alone is expected to be a relatively good predictor of primal yield, especially for a group of animals (Berry et al, 2017). The linear type traits are also heritable (Table 1) and, given the moderate genetic correlation with some of the primal cut traits (Tables 3 and 4), the coheritability of the primal cut and linear type traits is moderate.…”

Section: Deployment Strategies and Usesmentioning

confidence: 99%

“…Potential shortfalls in supply for individual markets can be filled by specifically targeting individual farms, or groups of animals within farms. Although individual animal parentage recording tends to be poor in beef herds, knowledge of the team of sires used in a given herd will provide a reasonable estimate of the genetic merit of that herd, or a group of animals, as a whole (Berry et al, 2017). Through the vertical integration of multiple data sources (i.e., herd size, genetic merit of sires most recently used, and calving season), abattoirs can potentially generate accurate models of not only animal supply but also expected animal quality.…”

Section: Deployment Strategies and Usesmentioning

confidence: 99%

See 1 more Smart Citation

Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Berry

Pabiou

Fanning

et al. 2019

Journal of Animal Science

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Section: Deployment Strategies and Usesmentioning

confidence: 99%

Section: Deployment Strategies and Usesmentioning

confidence: 99%

Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Berry

Pabiou

Fanning

et al. 2019

Journal of Animal Science

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“…The main factors affecting the quality of beef products are genetic factors, the fat content and composition [4], the packing method and animal breeding [5]. An essential step in improving beef quality is understanding the molecular regulation of muscle tissue.…”

Section: Introductionmentioning

confidence: 99%

Genome-wide identification and analysis of long noncoding RNAs in longissimus muscle tissue from Kazakh cattle and Xinjiang brown cattle

Yan

Zhang

et al. 2021

Anim Biosci

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Objective: In recent years, lncRNAs have been identified in many species, and some of them have been shown to play important roles in muscle development and myogenesis. However, the differences in lncRNAs between Kazakh cattle and Xinjiang brown cattle remain undefined; therefore, we aimed to confirm whether lncRNAs are differentially expressed in the longissimus dorsi between these two types of cattle and whether differentially expressed lncRNAs regulate muscle differentiation. Methods: We used RNA-seq technology to identify lncRNAs in longissimus muscles from these cattle. The expression of lncRNAs were analyzed using StringTie (1.3.1) in terms of the FPKM values of the encoding genes. The differential expression of the transcripts in the two samples were analyzed using the DESeq R software package. The resulting FDR was controlled by the Benjamini and Hochberg's approach. KOBAS software was utilized to measure the expression of different genes in KEGG pathways. We randomly selected eight lncRNA genes and validated them by RT-qPCR. Results: We found that 182 lncRNA transcripts, including 102 upregulated and 80 downregulated transcripts, were differentially expressed between Kazakh cattle and Xinjiang brown cattle. The results of RT-qPCR were consistent with the sequencing results. Enrichment analysis and functional annotation of the target genes revealed that the differentially expressed lncRNAs were associated with the MAPK, Ras and PI3k/Akt signaling pathways. We also constructed a lncRNA/mRNA coexpression network for the PI3k/Akt signaling pathway. Conclusion: Our study provides insights into cattle muscle-associated lncRNAs and will contribute to a more thorough understanding of the molecular mechanism underlying muscle growth and development in cattle.

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“…The vegetation is heterogeneous and distributed over zones being closely related to the soil covering. Light-chestnut soils covering the piedmont and wide plain comprise predominantly absinthial and gramineous associations, including Kentucky and bulbous bluegrass, sedge, brome grass, feather grass, sheep fescue, sage, milfoil and other species (Schwerin et al, 2010;Berry, 2017).…”

Section: Resultsmentioning

confidence: 99%

Productive and Biological Features of Kazakh Fine-Wool Sheep in the Conditions of the Almaty Region

Iskakov

Kulataev

Zhumagaliyeva

et al. 2017

OnLine Journal of Biological Sciences

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Kazakh fine-wool sheep bred in semiarid and desert zones of the Kazakhstan South-East are most widely spread in the Republic. However, most sheep do not satisfy the respective requirements of the breed in terms of productivity and especially reproductive capacity. Consequently, increasing the breeding performance and yield of commercial lambs is one of the most urgent issues in fine-wool sheep breeding. One of the tasks for scientists and agricultural specialists is to develop efficient methods to increase the reproductive capacity of fine-wool sheep and preserve lambs to the age of one year, one of the ways to increase the breeding performance being the selection of polycarpous pairs intended to accelerate the breeding rate for the mentioned product.

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Animal breeding strategies can improve meat quality attributes within entire populations

Cited by 43 publications

References 99 publications

Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Genome-wide identification and analysis of long noncoding RNAs in longissimus muscle tissue from Kazakh cattle and Xinjiang brown cattle

Productive and Biological Features of Kazakh Fine-Wool Sheep in the Conditions of the Almaty Region

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