3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Insights into the influence of diet and genetics on feed efficiency and meat production in sheep

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Feed costs and carcass yields affect the profitability and sustainability of sheep production. Therefore, it is crucial to select animals with a higher feed efficiency and high‐quality meat production. This study focuses on the impact of dietary and genetic factors on production traits such as feed efficiency, carcass quality, and meat quality. Diets promote optimal sheep growth and development and provide sufficient protein can lead to higher‐quality meat. However, establishing an optimized production system requires careful consideration and balance of dietary parameters. This includes ensuring adequate protein intake and feeding diets with higher intestinal absorption rates to enhance nutrient absorption in the gut. The study identifies specific genes, such as Callipyge, Calpastatin, and Myostatin, and the presence of causal mutations in these genes, as factors influencing animal growth rates, feed efficiency, and meat fatty acid profiles. Additionally, variants of other reported genes, including PIGY, UCP1, MEF2B, TNNC2, FABP4, SCD, FASN, ADCY8, ME1, CA1, GLIS1, IL1RAPL1, SOX5, SOX6, and IGF1, show potential as markers for sheep selection. A meta‐analysis of reported heritability estimates reveals that residual feed intake (0.27 ± 0.07), hot carcass weight (0.26 ± 0.05), dressing percentage (0.23 ± 0.05), and intramuscular fat content (0.45 ± 0.04) are moderately to highly heritable traits. This suggests that these traits are less influenced by environmental factors and could be improved through genetic selection. Additionally, positive genetic correlations exist between body weight and hot carcass weight (0.91 ± 0.06), dressing percentage (0.35 ± 0.15), and shear force (0.27 ± 0.24), indicating that selecting for higher body weight could lead to favorable changes in carcass quality, and meat quality.

          Related collections

          Most cited references173

          • Record: found
          • Abstract: not found
          • Article: not found

          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

            Recent advances in molecular genetic techniques will make dense marker maps available and genotyping many individuals for these markers feasible. Here we attempted to estimate the effects of ∼50,000 marker haplotypes simultaneously from a limited number of phenotypic records. A genome of 1000 cM was simulated with a marker spacing of 1 cM. The markers surrounding every 1-cM region were combined into marker haplotypes. Due to finite population size (Ne = 100), the marker haplotypes were in linkage disequilibrium with the QTL located between the markers. Using least squares, all haplotype effects could not be estimated simultaneously. When only the biggest effects were included, they were overestimated and the accuracy of predicting genetic values of the offspring of the recorded animals was only 0.32. Best linear unbiased prediction of haplotype effects assumed equal variances associated to each 1-cM chromosomal segment, which yielded an accuracy of 0.73, although this assumption was far from true. Bayesian methods that assumed a prior distribution of the variance associated with each chromosome segment increased this accuracy to 0.85, even when the prior was not correct. It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Introduction to Meta‐Analysis

                Bookmark

                Author and article information

                Contributors
                masoud.shirali@afbini.gov.uk
                Journal
                Anim Genet
                Anim Genet
                10.1111/(ISSN)1365-2052
                AGE
                Animal Genetics
                John Wiley and Sons Inc. (Hoboken )
                0268-9146
                1365-2052
                19 December 2023
                February 2024
                : 55
                : 1 ( doiID: 10.1111/age.v55.1 )
                : 20-46
                Affiliations
                [ 1 ] Institute for Global Food Security, School of Biological Sciences Queen's University Belfast Belfast UK
                [ 2 ] Agri‐Food and Biosciences Institute Hillsborough UK
                [ 3 ] Department of Computer Science Aberystwyth University Aberystwyth UK
                Author notes
                [*] [* ] Correspondence

                Masoud Shirali, Agri‐Food and Biosciences Institute, Large Park, Hillsborough, BT26 6DR, UK.

                Email: masoud.shirali@ 123456afbini.gov.uk

                Author information
                https://orcid.org/0000-0002-5401-0541
                Article
                AGE13383 AnGen-23-07-0138.R1
                10.1111/age.13383
                10952161
                38112204
                6854f0e5-45b0-44e0-ac64-0b7d013b9eee
                © 2023 The Authors. Animal Genetics published by John Wiley & Sons Ltd on behalf of Stichting International Foundation for Animal Genetics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 October 2023
                : 03 July 2023
                : 22 November 2023
                Page count
                Figures: 2, Tables: 7, Pages: 27, Words: 14995
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council , doi 10.13039/501100000268;
                Award ID: BB/T008776/1
                Funded by: Agri‐food Bioscience Institute (AFBI)
                Award ID: NIFAB(72098)
                Funded by: The Department of Agriculture, Environment and Rural Affairs (DAERA)
                Award ID: 21.5.01
                Categories
                Review
                Reviews
                Custom metadata
                2.0
                February 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:20.03.2024

                Genetics
                carcass quality,diet,feed efficiency,genetics,heritability,meat quality,sheep
                Genetics
                carcass quality, diet, feed efficiency, genetics, heritability, meat quality, sheep

                Comments

                Comment on this article