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Guarnido-Lopez P, Ortigues-Marty I, David J, Polakof S, Cantalapiedra-Hijar G. Comparative analysis of signalling pathways in tissue protein metabolism in efficient and non-efficient beef cattle: acute response to an identical single meal size. Animal 2023; 17:101017. [PMID: 37948891 DOI: 10.1016/j.animal.2023.101017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023] Open
Abstract
Protein turnover has been associated to residual feed intake (RFI) in beef cattle. However, this relationship may be confounded by feeding level and affected by the composition of the diet being fed. Our aim was to assess postmortem the protein metabolism signalling pathways in skeletal muscle and liver of 32 Charolais young bulls with extreme RFI phenotypes. Bulls were fed two contrasting diets during the whole fattening period but were subjected to a similar and single nutritional stimulus, induced by their respective concentrate, just prior to slaughter. The key targets were protein degradation (autophagy and ubiquitin) and synthesis signalling pathways through western-blot analysis, as well as hepatic transaminase activity. To ensure a precise assessment of all animals at the same postprandial time, they were provided with a test meal (2.5 kg of either a high-starch and high-protein concentrate or high-fibre and low-protein concentrate) 3 hours prior to slaughter, irrespective of their RFI grouping. Blood and tissues were sampled at the slaughterhouse (3 h and 3 h30 postprandially, respectively). In response to an identical single meal size, efficient RFI animals showed higher (P < 0.05) postprandial plasma β-hydroxybutyrate concentrations and insulinemia (only with the high-starch concentrate) than non-efficient animals. Moreover, efficient RFI bulls had lower muscle (P = 0.04) and liver (P = 0.08) ubiquitin protein abundance (degradation pathway) and tended to have lower alanine transaminase activity in the liver (P = 0.06) compared to non-efficient bulls, regardless of diet. A positive correlation between protein degradation potential and amino acid catabolism was identified in this study (r = 0.52, P = 0.004), which was interpreted as being biologically linked to the RFI phenotype. Efficient RFI bulls also had a faster potential for protein synthesis in the muscle, as indicated by their greater ratio of phosphorylated to total form of ribosomal protein S6 kinase (P = 0.05), regardless of diet. Results on protein synthesis pathway in muscle and plasma metabolite concentrations suggested that efficient RFI cattle may have a faster nutrient absorption and insulin responsiveness after feeding than inefficient cattle. We did not find significant differences in hepatic protein synthesis pathways between the two RFI groups (P > 0.05). Our findings suggest that, in response to an identical single meal size, efficient RFI animals exhibited lower activation of tissue protein degradation pathways and faster muscle protein synthesis activation compared to their inefficient counterparts. This pattern was observed regardless of the composition of the tested meals.
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Affiliation(s)
- P Guarnido-Lopez
- INRAE, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, F-63122 Saint-Genès-Champanelle, France
| | - I Ortigues-Marty
- INRAE, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, F-63122 Saint-Genès-Champanelle, France
| | - J David
- Université Clermont-Auvergne, INRAE, UMR1019, Unité Nutrition Humaine, Clermont-Ferrand, France
| | - S Polakof
- Université Clermont-Auvergne, INRAE, UMR1019, Unité Nutrition Humaine, Clermont-Ferrand, France
| | - G Cantalapiedra-Hijar
- INRAE, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, F-63122 Saint-Genès-Champanelle, France.
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2
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Malau-Aduli AEO, Curran J, Gall H, Henriksen E, O'Connor A, Paine L, Richardson B, van Sliedregt H, Smith L. Genetics and nutrition impacts on herd productivity in the Northern Australian beef cattle production cycle. Vet Anim Sci 2022; 15:100228. [PMID: 35024494 PMCID: PMC8724957 DOI: 10.1016/j.vas.2021.100228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Genetics and nutrition drive herd productivity due to significant impacts on all components of the beef cattle production cycle. In northern Australia, the beef production system is largely extensive and relies heavily on tropical cattle grazing low quality, phosphorus-deficient pastures with seasonal variations in nutritive value. The existing feedlots are predominantly grain-based; providing high-energy rations, faster turn-off and finishing of backgrounded cattle to meet market specifications. This review focusses on the beef cattle production cycle components of maternal nutrition, foetal development, bull fertility, post-natal to weaning, backgrounding, feedlotting, rumen microbes and carcass quality as influenced by genetics and nutrition. This student-driven review identified the following knowledge gaps in the published literature on northern Australian beef cattle production cycle: 1. Long-term benefits and effects of maternal supplementation to alter foetal enzymes on the performance and productivity of beef cattle; 2. Exogenous fibrolytic enzymes to increase nutrient availability from the cell wall and better utilisation of fibrous and phosphorus deficient pasture feedbase during backgrounding; 3. Supplementation with novel encapsulated calcium butyrate and probiotics to stimulate the early development of rumen papillae and enhance early weaning of calves; 4. The use of single nucleotide polymorphisms as genetic markers for the early selection of tropical beef cattle for carcass and meat eating quality traits prior to feedlotting; The review concludes by recommending future research in whole genome sequencing to target specific genes associated with meat quality characteristics in order to explore the development of breeds with superior genes more suited to the North Australian beef industry. Further research into diverse nutritional strategies of phosphorus supplementation and fortifying tropically adapted grasses with protein-rich legumes and forages for backgrounding and supplementing lot-fed beef cattle with omega-3 oil of plant origin will ensure sustainable production of beef with a healthy composition, tenderness, taste and eating quality.
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Affiliation(s)
- Aduli E O Malau-Aduli
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Jessica Curran
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Holly Gall
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Erica Henriksen
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Alina O'Connor
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Lydia Paine
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Bailey Richardson
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Hannake van Sliedregt
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
| | - Lucy Smith
- Animal Genetics and Nutrition, Veterinary Science Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, Queensland 4811, Australia
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3
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Individual Feed Efficiency Monitoring of Charolaise Candidate Young Bulls in Relation to Feeding Behavior and Self-Performance Test Results. Animals (Basel) 2021; 12:ani12010035. [PMID: 35011141 PMCID: PMC8749615 DOI: 10.3390/ani12010035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/08/2021] [Accepted: 12/16/2021] [Indexed: 11/17/2022] Open
Abstract
This study evaluated the effect of differences in residual feed intake (RFI) of Charolaise candidate young bulls on feeding behavior and self-performance test results. Bulls were classified into high and low RFI (H-RFI, L-RFI) groups. Bulls were fed in a HOKOFARM system to measure individual animal intake and behavior. L-RFI bulls had significantly lower feed intakes (p = 0.002) and higher gain to feed ratio (p = 0.001), lower intake per day/kg DM (dry matter) (p = 0.002) and lower intake g/body weight/day (p < 0.001). L-RFI animals had lower visits number per day (p = 0.02), but spent longer time per visit (p = 0.02), and tended to have higher intake g/visit (p = 0.06) on feeders. The correlation between RFI and DMI (dry matter intake)/bodyweight/day as well as intake per day/kg were large and positive. Back-loin length and rump length, and moreover muzzle width and frame, showed negative correlations with RFI value. However, bulls with better RFI values associated with lower legs score. Results reveal that RFI was shown beneficial correlations with economically relevant self-performance traits. Further investigations are needed to seek additional indicator traits that are predictive for RFI.
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Foroutan A, Wishart DS, Fitzsimmons C. Exploring Biological Impacts of Prenatal Nutrition and Selection for Residual Feed Intake on Beef Cattle Using Omics Technologies: A Review. Front Genet 2021; 12:720268. [PMID: 34790219 PMCID: PMC8592258 DOI: 10.3389/fgene.2021.720268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/06/2021] [Indexed: 11/23/2022] Open
Abstract
Approximately 70% of the cost of beef production is impacted by dietary intake. Maximizing production efficiency of beef cattle requires not only genetic selection to maximize feed efficiency (i.e., residual feed intake (RFI)), but also adequate nutrition throughout all stages of growth and development to maximize efficiency of growth and reproductive capacity, even during gestation. RFI as a measure of feed efficiency in cattle has been recently accepted and used in the beef industry, but the effect of selection for RFI upon the dynamics of gestation has not been extensively studied, especially in the context of fluctuating energy supply to the dam and fetus. Nutrient restriction during gestation has been shown to negatively affect postnatal growth and development as well as fertility of beef cattle offspring. This, when combined with the genetic potential for RFI, may significantly affect energy partitioning in the offspring and subsequently important performance traits. In this review, we discuss: 1) the importance of RFI as a measure of feed efficiency and how it can affect other economic traits in beef cattle; 2) the influence of prenatal nutrition on physiological phenotypes in calves; 3) the benefits of investigating the interaction of genetic selection for RFI and prenatal nutrition; 4) how metabolomics, transcriptomics, and epigenomics have been employed to investigate the underlying biology associated with prenatal nutrition, RFI, or their interactions in beef cattle; and 5) how the integration of omics information is adding a level of deeper understanding of the genetic architecture of phenotypic traits in cattle.
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Affiliation(s)
- Aidin Foroutan
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - David S. Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
| | - Carolyn Fitzsimmons
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
- Agriculture and Agri-Food Canada, Edmonton, AB, Canada
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Sweett H, Fonseca PAS, Suárez-Vega A, Livernois A, Miglior F, Cánovas A. Genome-wide association study to identify genomic regions and positional candidate genes associated with male fertility in beef cattle. Sci Rep 2020; 10:20102. [PMID: 33208801 PMCID: PMC7676258 DOI: 10.1038/s41598-020-75758-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 10/16/2020] [Indexed: 12/20/2022] Open
Abstract
Fertility plays a key role in the success of calf production, but there is evidence that reproductive efficiency in beef cattle has decreased during the past half-century worldwide. Therefore, identifying animals with superior fertility could significantly impact cow-calf production efficiency. The objective of this research was to identify candidate regions affecting bull fertility in beef cattle and positional candidate genes annotated within these regions. A GWAS using a weighted single-step genomic BLUP approach was performed on 265 crossbred beef bulls to identify markers associated with scrotal circumference (SC) and sperm motility (SM). Eight windows containing 32 positional candidate genes and five windows containing 28 positional candidate genes explained more than 1% of the genetic variance for SC and SM, respectively. These windows were selected to perform gene annotation, QTL enrichment, and functional analyses. Functional candidate gene prioritization analysis revealed 14 prioritized candidate genes for SC of which MAP3K1 and VIP were previously found to play roles in male fertility. A different set of 14 prioritized genes were identified for SM and five were previously identified as regulators of male fertility (SOD2, TCP1, PACRG, SPEF2, PRLR). Significant enrichment results were identified for fertility and body conformation QTLs within the candidate windows. Gene ontology enrichment analysis including biological processes, molecular functions, and cellular components revealed significant GO terms associated with male fertility. The identification of these regions contributes to a better understanding of fertility associated traits and facilitates the discovery of positional candidate genes for future investigation of causal mutations and their implications.
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Affiliation(s)
- H Sweett
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - P A S Fonseca
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - A Suárez-Vega
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - A Livernois
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada.,Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - F Miglior
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - A Cánovas
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G 2W1, Canada.
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Chen S, Li C, Luo Z, Li X, Gan J, Jia X, Lai S, Wang W. Genotyping-free parentage assignment using RAD-seq reads. Ecol Evol 2020; 10:7783-7791. [PMID: 32760564 PMCID: PMC7391307 DOI: 10.1002/ece3.6503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/24/2020] [Accepted: 05/27/2020] [Indexed: 11/23/2022] Open
Abstract
Parentage assignment is defined as the identification of the true parents of one focal offspring among a list of candidates and has been commonly used in zoological, ecological, and agricultural studies. Although likelihood-based parentage assignment is the preferred method in most cases, it requires genotyping a predefined set of DNA markers and providing their population allele frequencies. In the present study, we proposed an alternative method of parentage assignment that does not depend on genotype data and prior information of allele frequencies. Our method employs the restriction site-associated DNA sequencing (RAD-seq) reads for clustering into the overlapped RAD loci among the compared individuals, following which the likelihood ratio of parentage assignment could be directly calculated using two parameters-the genome heterozygosity and error rate of sequencing reads. This method was validated on one simulated and two real data sets with the accurate assignment of true parents to focal offspring. However, our method could not provide a statistical confidence to conclude that the first ranked candidate is a true parent.
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Affiliation(s)
- Shi‐Yi Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan ProvinceSichuan Agricultural UniversityChengduChina
| | - Cao Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan ProvinceSichuan Agricultural UniversityChengduChina
| | - Zhihao Luo
- Longri Breeding Farm of Sichuan ProvinceHongyuanChina
| | - Xiaowei Li
- Longri Breeding Farm of Sichuan ProvinceHongyuanChina
| | - Jia Gan
- Sichuan Animal Science AcademyChengduChina
| | - Xianbo Jia
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan ProvinceSichuan Agricultural UniversityChengduChina
| | - Song‐Jia Lai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan ProvinceSichuan Agricultural UniversityChengduChina
| | - Wei Wang
- Sichuan Animal Science AcademyChengduChina
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7
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de las Heras-Saldana S, Clark SA, Duijvesteijn N, Gondro C, van der Werf JHJ, Chen Y. Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle. BMC Genomics 2019; 20:939. [PMID: 31810463 PMCID: PMC6898931 DOI: 10.1186/s12864-019-6270-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 11/07/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) are extensively used to identify single nucleotide polymorphisms (SNP) underlying the genetic variation of complex traits. However, much uncertainly often still exists about the causal variants and genes at quantitative trait loci (QTL). The aim of this study was to identify QTL associated with residual feed intake (RFI) and genes in these regions whose expression is also associated with this trait. Angus cattle (2190 steers) with RFI records were genotyped and imputed to high density arrays (770 K) and used for a GWAS approach to identify QTL associated with RFI. RNA sequences from 126 Angus divergently selected for RFI were analyzed to identify the genes whose expression was significantly associated this trait with special attention to those genes residing in the QTL regions. RESULTS The heritability for RFI estimated for this Angus population was 0.3. In a GWAS, we identified 78 SNPs associated with RFI on six QTL (on BTA1, BTA6, BTA14, BTA17, BTA20 and BTA26). The most significant SNP was found on chromosome BTA20 (rs42662073) and explained 4% of the genetic variance. The minor allele frequencies of significant SNPs ranged from 0.05 to 0.49. All regions, except on BTA17, showed a significant dominance effect. In 1 Mb windows surrounding the six significant QTL, we found 149 genes from which OAS2, STC2, SHOX, XKR4, and SGMS1 were the closest to the most significant QTL on BTA17, BTA20, BTA1, BTA14, and BTA26, respectively. In a 2 Mb windows around the six significant QTL, we identified 15 genes whose expression was significantly associated with RFI: BTA20) NEURL1B and CPEB4; BTA17) RITA1, CCDC42B, OAS2, RPL6, and ERP29; BTA26) A1CF, SGMS1, PAPSS2, and PTEN; BTA1) MFSD1 and RARRES1; BTA14) ATP6V1H and MRPL15. CONCLUSIONS Our results showed six QTL regions associated with RFI in a beef Angus population where five of these QTL contained genes that have expression associated with this trait. Therefore, here we show that integrating information from gene expression and GWAS studies can help to better understand the genetic mechanisms that determine variation in complex traits.
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Affiliation(s)
| | - Samuel A. Clark
- School of Environmental and Rural Science, University of New England, Armidale, NSW Australia
| | - Naomi Duijvesteijn
- School of Environmental and Rural Science, University of New England, Armidale, NSW Australia
| | - Cedric Gondro
- School of Environmental and Rural Science, University of New England, Armidale, NSW Australia
- Department of Animal Science, Michigan State University, East Lansing, MI USA
| | | | - Yizhou Chen
- Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, NSW Australia
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8
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Bruinjé T, Ponce-Barajas P, Dourey A, Colazo M, Caldwell T, Wang Z, Miller S, Ambrose D. Morphology, membrane integrity, and mitochondrial function in sperm of crossbred beef bulls selected for residual feed intake. CANADIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1139/cjas-2018-0103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- T.C. Bruinjé
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
| | - P. Ponce-Barajas
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
| | - A. Dourey
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
| | - M.G. Colazo
- Livestock Research and Extension Branch, Alberta Agriculture and Forestry, Edmonton, AB T6H 5T6, Canada
| | - T. Caldwell
- Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Z. Wang
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
| | - S.P. Miller
- Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - D.J. Ambrose
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
- Livestock Research and Extension Branch, Alberta Agriculture and Forestry, Edmonton, AB T6H 5T6, Canada
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Moraes GF, Abreu LRA, Toral FLB, Ferreira IC, Ventura HT, Bergmann JAG, Pereira IG. Selection for feed efficiency does not change the selection for growth and carcass traits in Nellore cattle. J Anim Breed Genet 2019; 136:464-473. [DOI: 10.1111/jbg.12423] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 05/20/2019] [Accepted: 05/23/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Giovanna Faria Moraes
- Faculdade de Medicina Veterinária Universidade Federal de Uberlândia Uberlândia Brazil
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10
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Johnson C, Fitzsimmons C, Colazo M, Li C, Kastelic J, Thundathil J. Impacts of residual feed intake and pre-natal diet on reproductive potential of bulls. ANIMAL PRODUCTION SCIENCE 2019. [DOI: 10.1071/an18301] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Our objective was to determine effects of genetic potential for residual feed intake (RFI) and pre-natal diet on post-natal growth and reproductive development of bulls. Twenty-five bull calves with a divergent potential for RFI were produced by mating purebred Angus heifers (60) categorised as high or low RFI and inseminated with semen from high or low RFI bulls. From 30 to 150 days of gestation, half the heifers (balanced for RFI across treatments) in each RFI category were fed to gain 0.7 or 0.5 kg/day (~100% and 75% of recommended feed intake; designated normal- and low-diet, respectively). Birthweights of bull calves (n = 25) did not differ significantly among treatment groups (P ≥ 0.1). However, there was a tendency (P < 0.1) for a maternal diet*time interaction for bull weights, with bulls from low pre-natal diet fed heifers growing faster between 10 and 16 months of age than bulls from normal pre-natal diet fed heifers. Furthermore, high-RFI bulls had a larger scrotal circumference (P < 0.01) and attained puberty (P < 0.05) earlier than low-RFI bulls. Other testes measures, including paired testes volume, epididymal sperm reserves, daily sperm production and total sperm production, were not significantly different among treatment groups (P ≥ 0.1). High RFI bulls tended (P < 0.1) to have better average sperm motility than low RFI bulls. However, sperm morphology, viability and chromatin damage were not different (P ≥ 0.1). In summary, young beef bulls with low RFI had smaller testis, delayed onset of puberty (~1.7 months) and tended to exhibit lower progressive motility compared with high RFI bulls. Pre-natal diet had no direct influence on male reproductive development, nor did it interact with RFI of bulls.
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11
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Ferreira Júnior RJ, Bonilha SFM, Monteiro FM, Cyrillo JNSG, Branco RH, Silva JAIV, Mercadante MEZ. Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle. J Anim Sci 2018; 96:4035-4044. [PMID: 29986041 DOI: 10.1093/jas/sky276] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 07/06/2018] [Indexed: 11/12/2022] Open
Abstract
The objective of this study was to evaluate phenotypic and genetic relationships between fertility traits and feed efficiency in male and female Nellore cattle. Data from 320 females born between 2004 and 2011 were used for phenotypic evaluation. These animals were evaluated for postweaning residual feed intake (RFI) and classified as negative (RFI < 0, mean = -0.294 ± 0.017 kg DM/d) or positive RFI (RFI > 0, mean = 0.305 ± 0.0189 kg DM/d). Of these, 118 prepuberal heifers were submitted to ultrasonography of the uterus and ovaries for monitoring the presence (or absence) of a corpus luteum and for the measurement of endometrial thickness. The following fertility traits were evaluated in all females: age at first calving, days to calving, first calving interval, calving success, stayability, and longevity. The variance components were estimated by the average information restricted maximum likelihood method under an animal model in 5-trait analysis of backfat and rump fat thickness, scrotal circumference, days to calving, and RFI. The total number of animals with records was 6,718, including 927 males with records of scrotal circumference and RFI and 264 females with records of days to calving and RFI. Negative RFI females consumed 12.5% less DM daily than positive RFI females and had a lower rump fat thickness when evaluated postweaning. Among the fertility traits studied, only first calving interval differed (P = 0.0858) between RFI classes, with the interval of negative RFI females being 45 d shorter than that of positive RFI animals. The heritability estimates were 0.29, 0.34, 0.50, 0.12, and 0.16 for backfat and rump fat thickness, scrotal circumference, days to calving, and RFI, respectively. The genetic correlations between RFI and the other traits studied were unfavorable for selection and were of moderate magnitude with backfat thickness, rump fat thickness, and days to calving (0.53, 0.37, and -0.49, respectively) and close to zero with scrotal circumference (0.07). Scrotal circumference (0.17 and 0.15) and days to calving (-0.10 and -0.22) were weakly and favorably correlated with backfat and rump fat thickness. There is evidence of moderate genetic antagonism between female fertility and feed efficiency, but with no evidence of a genetic correlation between male fertility and feed efficiency. There is also evidence of low genetic synergism between fat thickness and fertility.
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Affiliation(s)
| | - Sarah F M Bonilha
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
| | - Fábio M Monteiro
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
| | | | - Renata H Branco
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
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Bourgon S, Diel de Amorim M, Chenier T, Sargolzaei M, Miller S, Martell J, Montanholi Y. Relationships of nutritional plane and feed efficiency with sexual development and fertility related measures in young beef bulls. Anim Reprod Sci 2018; 198:99-111. [DOI: 10.1016/j.anireprosci.2018.09.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 08/07/2018] [Accepted: 09/06/2018] [Indexed: 02/04/2023]
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13
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Invited review: Improving feed efficiency of beef cattle – the current state of the art and future challenges. Animal 2018; 12:1815-1826. [DOI: 10.1017/s1751731118000976] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Bourgon S, Diel de Amorim M, Miller S, Montanholi Y. Associations of blood parameters with age, feed efficiency and sampling routine in young beef bulls. Livest Sci 2017. [DOI: 10.1016/j.livsci.2016.11.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Old CA, Rossow HA, Famula TR. Partitioning of feed intake into maintenance and gain in growing beef cattle: Evaluation of conventional and Bayesian analyses. J Anim Sci 2016; 93:4826-42. [PMID: 26523576 DOI: 10.2527/jas.2015-9206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The robustness of efficiency estimates depends on theoretical consistency of models from which those estimates are developed; functional forms of the variables must be globally consistent with theoretical properties regarding feed utilization for maintenance and gain in growing and finishing cattle. Model parameter estimates and their dimensions must be unique or estimates of feed utilization and gain will not reflect reality. A linear equation commonly used to estimate daily DMI by the th individual animal (ADFI), based on mean weight and gain during a feeding period, was evaluated to determine if that model was correctly specified and if the vector predicted ADFI differed from the vector observed ADFI. Three independently gathered data sets were evaluated using a multiple linear regression model; variability described by that model failed to capture observed variability in the data (lack of fit, < 0.10), and predicted ADFI differed from observed ( < 0.05); for 1 of the 3 data sets, residuals were not normally distributed ( < 0.001). Functional forms of the variables in the first model evaluated, characterizing ADFI required for maintenance ( × BW) and gain ( × ADG), were consistent with neither published empirical nor theoretical relationships among ADFI, BW, and ADG. Parameter estimates determined for that linear model were not BLUE. Better fits among final BW, initial BW, and ADFI were found for a first-order relationship, in which final BW was a function of initial BW and ADFI, as indicated by > 0.90. The linear model and, to a lesser degree, the first nonlinear model lacked theoretical and global consistency. A second nonlinear model, which described retained energy as a function of ME intake, best fit the data, and functional forms of variables describing ME intake at maintenance and the efficiency of ME utilization for gain were consistent with theoretical estimates found in the literature. Changes in feed intake and live BW in linear and nonlinear models failed to adequately describe efficiencies of metabolic processes, which are better characterized by changes in retained energy as a function of ME intake in nonlinear models.
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Montanholi Y, Fontoura A, Diel de Amorim M, Foster R, Chenier T, Miller S. Seminal plasma protein concentrations vary with feed efficiency and fertility-related measures in young beef bulls. Reprod Biol 2016; 16:147-56. [DOI: 10.1016/j.repbio.2016.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 04/04/2016] [Accepted: 04/19/2016] [Indexed: 12/26/2022]
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Associations between feed efficiency, sexual maturity and fertility-related measures in young beef bulls. Animal 2016; 10:96-105. [DOI: 10.1017/s1751731115001925] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Foote AP, Hales KE, Tait RG, Berry ED, Lents CA, Wells JE, Lindholm-Perry AK, Freetly HC. Relationship of glucocorticoids and hematological measures with feed intake, growth, and efficiency of finishing beef cattle1. J Anim Sci 2016; 94:275-83. [DOI: 10.2527/jas.2015-9407] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential Residual Feed Intake in pigs. Sci Rep 2015; 5:11953. [PMID: 26150313 PMCID: PMC4493709 DOI: 10.1038/srep11953] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 06/10/2015] [Indexed: 11/08/2022] Open
Abstract
Feed efficiency (FE) can be measured by feed conversion ratio (FCR) or residual feed intake (RFI). In this study, we measured the FE related phenotypes of 236 castrated purebred Yorkshire boars, and selected 10 extreme individuals with high and low RFI for transcriptome analysis. We used RNA-seq analyses to determine the differential expression of genes and miRNAs in skeletal muscle. There were 99 differentially expressed genes identified (q ≤ 0.05). The down-regulated genes were mainly involved in mitochondrial energy metabolism, including FABP3, RCAN, PPARGC1 (PGC-1A), HK2 and PRKAG2. The up-regulated genes were mainly involved in skeletal muscle differentiation and proliferation, including IGF2, PDE7A, CEBPD, PIK3R1 and MYH6. Moreover, 15 differentially expressed miRNAs (|log2FC| ≥ 1, total reads count ≥ 20, p ≤ 0.05) were identified. Among them, miR-136, miR-30e-5p, miR-1, miR-208b, miR-199a, miR-101 and miR-29c were up-regulated, while miR-215, miR-365-5p, miR-486, miR-1271, miR-145, miR-99b, miR-191 and miR-10b were down-regulated in low RFI pigs. We conclude that decreasing mitochondrial energy metabolism, possibly through AMPK - PGC-1A pathways, and increasing muscle growth, through IGF-1/2 and TGF-β signaling pathways, are potential strategies for the improvement of FE in pigs (and possibly other livestock). This study provides new insights into the molecular mechanisms that determine RFI and FE in pigs.
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Residual feed intake: a nutritional tool for genetic improvement. Trop Anim Health Prod 2013; 45:1649-61. [DOI: 10.1007/s11250-013-0435-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2013] [Indexed: 10/26/2022]
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Abstract
The emergence of the middle class in countries such as Brazil, Russia, India, and China is resulting in increasing global demand for animal-based food products. This increase represents a unique opportunity for Canadian livestock producers to export their products to new markets and expand Canada's reputation as a global provider of safe and highest quality food items. This article has two major themes. First, current Canadian contributions to livestock genomics in the cattle and swine industries are outlined. Second, important future opportunities are discussed, including the high throughput collection of phenotypic data, development of environmentally friendly livestock, emergence of decision support software, and the use of Web 2.0. Through the use of genomic technologies, livestock producers can not only ensure that the nutritional demands of Canada are secured, but also play a pivotal role in ensuring the rest of the world is fed as well. Furthermore, investment through initiatives led by Genome Canada has ensured that Canada is favorably positioned to contribute cutting-edge solutions to meet this global challenge. Ultimately, genomic-based innovations will enable producers to increase efficiency, lower production costs, decrease the use of prophylactics, and limit the expenditure of resources.
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Affiliation(s)
- Jagjit S Ludu
- Livestock Gentec, Department of Agriculture, Food, and Nutritional Science, University of Alberta, 1400 College Plaza, 8215 112 Street, Edmonton, AB T6G 2C8, Canada
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Basarab JA, Beauchemin KA, Baron VS, Ominski KH, Guan LL, Miller SP, Crowley JJ. Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production. Animal 2013; 7 Suppl 2:303-15. [PMID: 23739472 PMCID: PMC3691002 DOI: 10.1017/s1751731113000888] [Citation(s) in RCA: 100] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Accepted: 04/15/2013] [Indexed: 11/23/2022] Open
Abstract
Genetic selection for residual feed intake (RFI) is an indirect approach for reducing enteric methane (CH4) emissions in beef and dairy cattle. RFI is moderately heritable (0.26 to 0.43), moderately repeatable across diets (0.33 to 0.67) and independent of body size and production, and when adjusted for off-test ultrasound backfat thickness (RFI fat) is also independent of body fatness in growing animals. It is highly dependent on accurate measurement of individual animal feed intake. Within-animal repeatability of feed intake is moderate (0.29 to 0.49) with distinctive diurnal patterns associated with cattle type, diet and genotype, necessitating the recording of feed intake for at least 35 days. In addition, direct measurement of enteric CH4 production will likely be more variable and expensive than measuring feed intake and if conducted should be expressed as CH4 production (g/animal per day) adjusted for body size, growth, body composition and dry matter intake (DMI) or as residual CH4 production. A further disadvantage of a direct CH4 phenotype is that the relationships of enteric CH4 production on other economically important traits are largely unknown. Selection for low RFI fat (efficient, -RFI fat) will result in cattle that consume less dry matter (DMI) and have an improved feed conversion ratio (FCR) compared with high RFI fat cattle (inefficient; +RFI fat). Few antagonistic effects have been reported for the relationships of RFI fat on carcass and meat quality, fertility, cow lifetime productivity and adaptability to stress or extensive grazing conditions. Low RFI fat cattle also produce 15% to 25% less enteric CH4 than +RFI fat cattle, since DMI is positively related to enteric methane (CH4) production. In addition, lower DMI and feeding duration and frequency, and a different rumen bacterial profile that improves rumen fermentation in -RFI fat cattle may favor a 1% to 2% improvement in dry matter and CP digestibility compared with +RFI fat cattle. Rate of genetic change using this approach is expected to improve feed efficiency and reduce enteric CH4 emissions from cattle by 0.75% to 1.0% per year at equal levels of body size, growth and body fatness compared with cattle not selected for RFI fat.
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Affiliation(s)
- J A Basarab
- Alberta Agriculture and Rural Development, Lacombe Research Centre, 6000 C & E Trail, Lacombe, AB, Canada.
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Awda BJ, Miller SP, Montanholi YR, Voort GV, Caldwell T, Buhr MM, Swanson KC. The relationship between feed efficiency traits and fertility in young beef bulls. CANADIAN JOURNAL OF ANIMAL SCIENCE 2013. [DOI: 10.4141/cjas2012-092] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Awda, B. J., Miller, S. P., Montanholi, Y. R., Vander Voort, G., Caldwell, T., Buhr, M. M. and Swanson, K. C. 2013. The relationship between feed efficiency traits and fertility in young beef bulls. Can. J. Anim. Sci. 93: 185–192. Great efforts have been taken in recent years for improving feed efficiency in beef cattle. Despite there being several studies on biological factors associated with this trait, little is known about the potential relationships between fertility and feed efficiency in beef cattle. The objective of this study was to examine the relationship between feed efficiency traits and bull fertility traits [sperm motility, viability and scrotal circumference (SC)]. From a total of 328 crossbred beef bulls that were subjected to a performance test (112 d in each of 6 yr), SC was measured and semen collected from 110 bulls using the electroejaculation method (average age±SE=417±2.5 d). Sperm were extended, cooled, and frozen in liquid nitrogen. Two residual feed intake (RFI) measures were considered with different prediction models for dry matter intake (DMI), RFIKoch included size and growth rate and RFIbkft included the additional adjustment for backfat thickness (BKFT). Sperm viability, motility and progressive motility of the 10 bulls with the greatest RFIKoch (Hi-RFIKoch) were greater than those of the 10 bulls with the lowest RFIKoch (Lo-RFIKoch; P<0.05, 0.01, and 0.05, respectively). Sperm motility (P<0.01), progressive motility and SC (P<0.05) of the 10 bulls with the greatest RFIbkft (Hi-RFIbkft) were greater than those of the 10 bulls with the lowest RFIbkft (Lo-RFIbkft). In summary, these data indicate that young beef bulls with greater feed efficiency have decreased sperm motility, sperm viability and SC, which is an undesirable effect of selection for improved feed efficiency that needs to be addressed through multiple trait selection.
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Affiliation(s)
- B. J. Awda
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - S. P. Miller
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - Y. R. Montanholi
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - G. Vander Voort
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - T. Caldwell
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - M. M. Buhr
- Department of Animal and Poultry Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5A8
| | - K. C. Swanson
- Department of Animal Sciences, North Dakota State University, Fargo, North Dakota, 58108-6050, USA
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Montanholi Y, Fontoura A, Swanson K, Coomber B, Yamashiro S, Miller S. Small intestine histomorphometry of beef cattle with divergent feed efficiency. Acta Vet Scand 2013; 55:9. [PMID: 23379622 PMCID: PMC3598877 DOI: 10.1186/1751-0147-55-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2012] [Accepted: 02/01/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The provision of feed is a major cost in beef production. Therefore, the improvement of feed efficiency is warranted. The direct assessment of feed efficiency has limitations and alternatives are needed. Small intestine micro-architecture is associated with function and may be related to feed efficiency. The objective was to verify the potential histomorphological differences in the small intestine of animals with divergent feed efficiency. METHODS From a population of 45 feedlot steers, 12 were selected with low-RFI (superior feed efficiency) and 12 with high-RFI (inferior feed efficiency) at the end of the finishing period. The animals were processed at 13.79 ± 1.21 months of age. Within 1.5 h of slaughter the gastrointestinal tract was collected and segments from duodenum and ileum were harvested. Tissue fragments were processed, sectioned and stained with hematoxylin and eosin. Photomicroscopy images were taken under 1000x magnification. For each animal 100 intestinal crypts were imaged, in a cross section view, from each of the two intestinal segments. Images were analyzed using the software ImageJ(®). The measurements taken were: crypt area, crypt perimeter, crypt lumen area, nuclei number and the cell size was indirectly calculated. Data were analyzed using general linear model and correlation procedures of SAS(®). RESULTS Efficient beef steers (low-RFI) have a greater cellularity (indicated by nuclei number) in the small intestinal crypts, both in duodenum and ileum, than less efficient beef steers (high-RFI) (P < 0.05). The mean values for the nuclei number of the low-RFI and high-RFI groups were 33.16 and 30.30 in the duodenum and 37.21 and 33.65 in the ileum, respectively. The average size of the cells did not differ between feed efficiency groups in both segments (P ≥ 0.10). A trend was observed (P ≤ 0.10) for greater crypt area and crypt perimeter in the ileum for cattle with improved feed efficiency. CONCLUSION Improved feed efficiency is associated with greater cellularity and no differences on average cell size in the crypts of the small intestine in the bovine. These observations are likely to lead to an increase in the energy demand by the small intestine regardless of the more desirable feed efficiency.
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Affiliation(s)
- Yuri Montanholi
- Department of Animal and Poultry Science, University of Guelph, 70-50 Stone Road East, Guelph, N1G 2W1, ON, Canada
| | - Ananda Fontoura
- Universidade Federal do Pará, Avenida Universitária s/n, 68745-000, Castanhal, Pará, Brasil
| | - Kendall Swanson
- Department of Animal Sciences, North Dakota State University, PO box 6050, Fargo, 58108-6050, ND, USA
| | - Brenda Coomber
- Department of Biomedical Sciences, University of Guelph, 3-50 Stone Road East, Guelph, N1G 2W1, ON, Canada
| | - Shigeto Yamashiro
- Department of Biomedical Sciences, University of Guelph, 3-50 Stone Road East, Guelph, N1G 2W1, ON, Canada
| | - Stephen Miller
- Department of Animal and Poultry Science, University of Guelph, 70-50 Stone Road East, Guelph, N1G 2W1, ON, Canada
- Livestock Gentec, 1400 College Plaza 8215-112 Street, Edmonton, T6G 2C8, AB, Canada
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