Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency

Feed inputs represent the largest variable cost of producing meat and milk from ruminant animals. Thus, strategies that improve the efficiency of feed utilization are needed to improve the global competitiveness of Israeli and U.S. cattle industries, and mitigate their environmental impact through reductions in nutrient excretions and greenhouse gas emissions. Implementation of innovative technologies that will enhance genetic merit for feed efficiency is arguably one of the most cost-effective strategies to meet future demands for animal-protein foods in an environmentally sustainable manner. While considerable genetic variation in feed efficiency exist within cattle populations, the expense of measuring individual-animal feed intake has precluded implementation of selection programs that target this trait. Residual feed intake (RFI) is a trait that quantifies between-animal variation in feed intake beyond that expected to meet energy requirements for maintenance and production, with efficient animals being those that eat less than expected for a given size and level of production. There remains a critical need to understand the biological drivers for genetic variation in RFI to facilitate development of effective selection programs in the future. Therefore, the aim of this project was to determine the biological basis for phenotypic variation in RFI of growing and lactating cattle, and discover metabolic biomarkers of RFI for early and more cost-effective selection of cattle for feed efficiency. Objectives were to: (1) Characterize the phenotypic relationships between RFI and production traits (growth or lactation), (2) Quantify inter-animal variation in residual HP, (3) Determine if divergent RFIphenotypes differ in HP, residual HP, recovered energy and digestibility, and (4) Determine if divergent RFI phenotypes differ in physical activity, feeding behavior traits, serum hormones and metabolites and hepatic mitochondrial traits. The major research findings from this project to date include: In lactating dairy cattle, substantial phenotypic variation in RFI was demonstrated as cows classified as having low RMEI consumed 17% less MEI than high-RMEI cows despite having similar body size and lactation productivity. Further, between-animal variation in RMEI was found to moderately associated with differences in RHP demonstrating that maintenance energy requirements contribute to observed differences in RFI. Quantifying energetic efficiency of dairy cows using RHP revealed that substantial changes occur as week of lactation advances—thus it will be critical to measure RMEI at a standardized stage of lactation. Finally, to determine RMEI in lactating dairy cows, individual DMI and production data should be collected for a minimum of 6 wk. We demonstrated that a favorably association exists between RFI in growing heifers and efficiency of forage utilization in pregnant cows. Therefore, results indicate that female progeny from parents selected for low RFI during postweaning development will also be efficient as mature females, which has positive implications for both dairy and beef cattle industries. Results from the beef cattle studies further extend our knowledge regarding the biological drivers of phenotypic variation in RFI of growing animals, and demonstrate that significant differences in feeding behavioral patterns, digestibility and heart rate exist between animals with divergent RFI. Feeding behavior traits may be an effective biomarker trait for RFI in beef and dairy cattle. There are differences in mitochondrial acceptor control and respiratory control ratios between calves with divergent RFI suggesting that variation in mitochondrial metabolism may be visible at the genome level. Multiple genes associated with mitochondrial energy processes are altered by RFI phenotype and some of these genes are associated with mitochondrial energy expenditure and major cellular pathways involved in regulation of immune responses and energy metabolism.

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Potential for selection to improve efficiency of feed use in beef cattle: a review

Australian Journal of Agricultural Research ◽

10.1071/a98075 ◽

1999 ◽

Vol 50 (2) ◽

pp. 147 ◽

Cited By ~ 200

Author(s):

J. A. Archer ◽

E. C. Richardson ◽

R. M. Herd ◽

P. F. Arthur

Keyword(s):

Genetic Variation ◽

Beef Cattle ◽

Feed Intake ◽

Production System ◽

Feed Efficiency ◽

Genetic Correlations ◽

Total Production ◽

Breeding Values ◽

Improve Efficiency ◽

Estimated Breeding Values

Evidence for genetic variation in feed efficiency of beef cattle is reviewed in this paper, and ways in which this variation might be used in selection programs to improve beef cattle in Australia are discussed. Efficiency of beef production systems is determined by feed and other inputs of all classes of animals in the production system as well as outputs in terms of slaughter progeny and cull cows. Different indices have been used to express aspects of efficiency on cattle over certain periods of the production cycle. Use of these indices is discussed, and then evidence for genetic variation in both growing animals and mature animals is reviewed. Genetic variation in feed efficiency exists in both growing and mature cattle, although information is lacking to determine whether variation in total production system efficiency exists. The physiological basis for observed variation in feed efficiency is discussed, with differences in requirements for maintenance, body composition, proportions of visceral organs, level of physical activity, and digestion efficiency identified as possible sources of variation. Selection to improve efficiency might be achieved by measuring feed intake of growing animals and utilising genetic correlations that are likely to exist between efficiency of growing animals and mature animals. Measurement of feed intake might occur in central test stations, or methods may be developed to measure feed intake on-farm. Ways of utilising information generated in genetic evaluations are discussed, and it is concluded that estimated breeding values for feed intake after a phenotypic adjustment for growth performance would be most practical, although not theoretically optimal. Such estimated breeding values would best be used in an economic selection index to account for genetic correlations with other traits, including feed intake of the breeding herd, and the economic value of feed in relation to other traits. Future research should be directed towards understanding the genetic relationships between feed intake and other traits in the breeding objective, and to find ways to reduce the cost of measurement of feed intake, including a search for genetic markers.

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8 President Oral Presentation Pick: Use of electronic feed intake systems to assess feed bunk displacement events as an indicator of aggressive feeding behavior in beef cattle

Journal of Animal Science ◽

10.1093/jas/skaa278.001 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 1-1

Author(s):

Keara O’Reilly ◽

Jocelyn R Johnson ◽

Lauren Wottlin ◽

Gordon E Carstens

Keyword(s):

Beef Cattle ◽

Feeding Behavior ◽

Feed Intake ◽

Feed Efficiency ◽

Social Dominance ◽

Well Being ◽

Eating Rate ◽

Total Displacement ◽

Potential Indicator ◽

And Performance

Abstract Animal variation in social dominance within a herd has been shown to be associated with performance, feed efficiency and animal well-being. The objective of this study was to quantify disruptive feeding events in cattle fed a high-grain diet. Crossbred steers (n = 85) housed in a pen with GrowSafe bunks were used in this study. An algorithm was developed to quantify displacement events defined as an animal being displaced by another within 5 sec. These feed bunk displacement events were further separated into either displacer events or displacee events. A displacer event was defined as an animal displacing another (aggressive). A displacee event was defined as an animal being displaced (submissive). The displacer events as a proportion of total displacement events were used to classify animals as aggressive versus submissive (±0.5 SD). Animals with fewer displacer events as a proportion of total displacement events (submissive < 0.5 SD) had greater (P < 0.05) frequency and duration of bunk visit events and head down duration than the animals who initiated more displacer events as a total of displacement events (aggressive > 0.5 SD). Additionally, submissive animals also had a slower (P < 0.05) bunk visit eating rate than aggressive animals. The results of this initial analysis found that due to the associations between feed bunk displacements and feeding behavior, there may be potential to correlate this trait with temperament and performance traits as well as be a potential indicator of feed efficiency in confined cattle.

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RAPID COMMUNICATION: Residual feed intake in beef cattle is associated with differences in protein turnover and nutrient transporters in ruminal epithelium

Journal of Animal Science ◽

10.1093/jas/skz080 ◽

2019 ◽

Vol 97 (5) ◽

pp. 2181-2187

Author(s):

Ahmed A Elolimy ◽

Emad Abdel-Hamied ◽

Liangyu Hu ◽

Joshua C McCann ◽

Daniel W Shike ◽

...

Keyword(s):

Amino Acid ◽

Beef Cattle ◽

Protein Degradation ◽

Insulin Signaling ◽

Feed Intake ◽

Feed Efficiency ◽

Protein Turnover ◽

Residual Feed Intake ◽

Ubiquitin Proteasome ◽

Ruminal Epithelium

Abstract Residual feed intake (RFI) is a widely used measure of feed efficiency in cattle. Although the precise biologic mechanisms associated with improved feed efficiency are not well-known, most-efficient steers (i.e., with low RFI coefficient) downregulate abundance of proteins controlling protein degradation in skeletal muscle. Whether cellular mechanisms controlling protein turnover in ruminal tissue differ by RFI classification is unknown. The aim was to investigate associations between RFI and signaling through the mechanistic target of rapamycin (MTOR) and ubiquitin-proteasome pathways in ruminal epithelium. One hundred and forty-nine Red Angus cattle were allocated to 3 contemporary groups according to sex and herd origin. Animals were offered a finishing diet for 70 d to calculate the RFI coefficient for each. Within each group, the 2 most-efficient (n = 6) and least-efficient animals (n = 6) were selected. Compared with least-efficient animals, the most-efficient animals consumed less feed (P < 0.05; 18.36 vs. 23.39 kg/d DMI). At day 70, plasma samples were collected for insulin concentration analysis. Ruminal epithelium was collected immediately after slaughter to determine abundance and phosphorylation status of 29 proteins associated with MTOR, ubiquitin-proteasome, insulin signaling, and glucose and amino acid transport. Among the proteins involved in cellular protein synthesis, most-efficient animals had lower (P ≤ 0.05) abundance of MTOR, p-MTOR, RPS6KB1, EIF2A, EEF2K, AKT1, and RPS6KB1, whereas MAPK3 tended (P = 0.07) to be lower. In contrast, abundance of p-EEF2K, p-EEF2K:EEF2K, and p-EIF2A:EIF2A in most-efficient animals was greater (P ≤ 0.05). Among proteins catalyzing steps required for protein degradation, the abundance of UBA1, NEDD4, and STUB1 was lower (P ≤ 0.05) and MDM2 tended (P = 0.06) to be lower in most-efficient cattle. Plasma insulin and ruminal epithelium insulin signaling proteins did not differ (P > 0.05) between RFI groups. However, abundance of the insulin-responsive glucose transporter SLC2A4 and the amino acid transporters SLC1A3 and SLC1A5 also was lower (P ≤ 0.05) in most-efficient cattle. Overall, the data indicate that differences in signaling mechanisms controlling protein turnover and nutrient transport in ruminal epithelium are components of feed efficiency in beef cattle.

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PSV-18 The role of leptin in feed efficiency and behavior attributes of commercial beef heifers

Journal of Animal Science ◽

10.1093/jas/skaa054.286 ◽

2020 ◽

Vol 98 (Supplement_3) ◽

pp. 162-162

Author(s):

Nayan Bhowmik ◽

Kris A Ringwall ◽

Carl R Dahlen ◽

Kendall C Swanson ◽

Jeffrey A Clapper ◽

...

Keyword(s):

Feeding Behavior ◽

Breeding Season ◽

Feed Intake ◽

Feed Efficiency ◽

Repeated Measures ◽

Fixed Effects ◽

Beef Heifers ◽

Frame Size ◽

And Behavior ◽

Plasma Leptin

Abstract Leptin is a 16-kDa-peptide hormone product of the leptin gene (LEP) that is predominantly synthesized by adipose tissues and has known involvement in regulation of feed intake, energy expenditure, reproduction, and immune functions. The objective was to determine the association of leptin genotype (LEP c.73C >T), leptin diplotype (LEPD) and plasma leptin hormone (LEPH) concentration with growth, feed intake, feed efficiency, and behavior characteristics in developing beef heifers. A total of 336 commercial beef heifers were genotyped for the LEP c.73C >T marker. Four single nucleotide polymorphism markers including LEP c.73C >T, ARS-BFGL-NGS-59298 (intron 1), BovineHD0400026029 (upstream) and BovineHD0400026063 (downstream) of LEP were considered for haplotype analysis. Eleven LEPD were identified for this study using parsimony-based analyses. Circulating levels of LEPH were measured on 333 heifers prior to their first breeding season and used to assign low or high concentration group based on population median. Data were analyzed using the mixed procedure of SAS for repeated measures, fixed effects of ancestral breed group (n = 4), dam age category (n = 4), frame size group (n = 4), project cycle nested within birth year (n = 6), week of feed trial × year, LEP (n = 3) or LEPD (n = 11) or LEPH (n = 2), as well as week × LEPH (only for LEPH). There were no significant differences between LEP genotypes (P ≥ 0.11) or LEPD (P ≥ 0.33) for any of the studied traits. Heifers with low LEPH ate fewer meals per day (P = 0.02) and had more DMI per meal (P = 0.04) compared to those with high plasma leptin. Further research is needed to better understand plasma LEPH concentration and its role in feeding behavior attributes. However, circulatory LEPH before the breeding season may serve as a predictor for feeding behavior.

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Effects of prepartum dietary protein level and feed intake on postpartum lactation performance and feeding behavior of multiparous Holstein dairy cows

Journal of Dairy Science ◽

10.3168/jds.2021-20218 ◽

2021 ◽

Author(s):

M.U. Akhtar ◽

Hifzulrahman ◽

M. Saadullah ◽

T.N. Pasha ◽

M. Abdullah ◽

...

Keyword(s):

Feeding Behavior ◽

Dairy Cows ◽

Feed Intake ◽

Dietary Protein ◽

Protein Level ◽

Lactation Performance ◽

Dietary Protein Level ◽

Holstein Dairy Cows

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PSVI-20 Extent of genetic variation in feeding behavior and genetic associations with performance and feed efficiency in crossbred growing cattle

Journal of Animal Science ◽

10.1093/jas/skab235.427 ◽

2021 ◽

Vol 99 (Supplement_3) ◽

pp. 233-234

Author(s):

David N Kelly ◽

Roy D Sleator ◽

Craig P Murphy ◽

Stephen B Conroy ◽

Donagh P Berry

Keyword(s):

Genetic Variation ◽

Feeding Behavior ◽

Energy Intake ◽

Feed Efficiency ◽

Fixed Effects ◽

Feeding Rate ◽

Feeding Time ◽

Genetic Associations ◽

Event Duration ◽

Growing Cattle

Abstract To the best of our knowledge, the genetic variability in feeding behavior, as well as relationships with performance and feed efficiency, has not been investigated in a cattle population of greater than 1,500 animals. Our objective was to quantify the genetic parameters of several feeding behavior traits, and their genetic associations with both performance and feed efficiency traits, in crossbred growing cattle. Feed intake and live-weight data were available on 6,088 bulls, steers and heifers; of these, 4,672 cattle had backfat and muscle ultrasound data, and 1,548 steers and heifers had feeding behavior data. Genetic (co)variance parameters were estimated using animal linear mixed models; fixed effects included test group, heterosis, recombination loss, dam parity, age in months at the end of test, and the two-way interaction between age in months at the end of test and sex. Heritability was estimated to be 0.51 (0.097), 0.61 (0.100), 0.44 (0.093), 0.48 (0.094), and 0.47 (0.095) for feed events per day, feeding time per day, feeding rate, feed event duration, and energy intake per feed event, respectively. Coefficients of genetic variation ranged from 0.11 (feeding time per day) to 0.22 (feed event duration). Genetically heavier cattle with a higher energy intake per day, and faster growth rate, had a faster feeding rate and a greater energy intake per feed event. Genetic correlations between feeding behavior and feed efficiency were generally not different from zero, however, there was a genetic correlation of 0.36 (0.11) between feeding time per day and residual energy intake. Significant heritable and exploitable genetic variation exists in several feeding behavior traits in crossbred growing cattle which are also correlated with several performance traits. As some feeding behavior traits may be relatively less resource intensive to measure, they could be useful as predictor traits in beef cattle genetic evaluations.

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Genetic variation in net feed efficiency in Hereford cattle and its association with other production traits

Proceedings of the British Society of Animal Science ◽

10.1017/s1752756200002027 ◽

1999 ◽

Vol 1999 ◽

pp. 47-47

Author(s):

R.M. Herd ◽

S.C. Bishop

Keyword(s):

Growth Rate ◽

Genetic Variation ◽

Feed Intake ◽

Feed Efficiency ◽

Genetic Correlations ◽

Feed Consumption ◽

Production Traits ◽

Performance Measurements ◽

Hereford Cattle ◽

Rate Selection

Net feed efficiency refers to variation in feed consumption between animals net of requirements for maintenance and production, and may be measured as residual feed intake (RFI). Because RFI is independent of liveweight (LW) and growth rate, selection for improved net feed efficiency is likely to reduce feed intake with little change in growth. The purpose of this study was to establish whether there exists genetic variation in RFI in young British Hereford bulls, and to determine the phenotypic and genetic correlations of RFI with key production traits.The data consisted of performance measurements on 540 bull progeny of 154 British Hereford sires, collected over ten 200-day postweaning performance tests conducted between 1979 and 1988. The traits analysed were food intake (FI), 200 to 400-day daily gain (ADG), 400-day weight (W400), predicted carcass lean content (LEAN), lean growth rate (LGR), food conversion ratio (FI/ADG) and lean FCR (LFCR; FI/(ADG x LEAN), described by Bishop (1992).

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Association of Feed Efficiency, Feeding Rate, and Behaviour with the Milk Performance of Dairy Cows

Dairy ◽

10.3390/dairy2040053 ◽

2021 ◽

Vol 2 (4) ◽

pp. 684-694

Author(s):

Lenka Krpálková ◽

Niall O’Mahony ◽

Anderson Carvalho ◽

Sean Campbell ◽

Gerard Corkery ◽

...

Keyword(s):

Dairy Cows ◽

Milk Production ◽

Milk Yield ◽

Feed Intake ◽

Feed Efficiency ◽

Feeding Behaviour ◽

Feeding Rate ◽

Feeding Time ◽

Feed Conversion ◽

Milk Performance

Identification of the associations of cow feed efficiency with feeding behaviour and milk production is important for supporting recommendations of strategies that optimise milk yield. The objective of this study was to identify associations between measures of feed efficiency, feed intake, feeding rate, rumination time, feeding time, and milk production using data collected from 26 dairy cows during a 3 month period in 2018. Cows averaged (mean ± standard deviation) 2.2 ± 1.7 lactations, 128 ± 40 days in milk, 27.5 ± 5.5 kg/day milk, 1.95 ± 0.69 kg feed/1 kg milk—the measure used to express feed conversion ratio (FCR), 575 ± 72 min/day rumination time, and 264 ± 67 min/day feeding time during the observation period. The coefficient of variation for rumination time (min/d) was 12.5%. A mixed linear model was selected for analyses. The most feed inefficient cows with the highest FCR (≥2.6 kg feed/1 kg milk) showed the lowest milk yield (24.8 kg/day), highest feed intake (78.8 kg), highest feeding rate (0.26 kg/min) and BCS (3.35 point). However, the relative milk yield (milk yield per 100 kg of body weight) was the highest (4.01 kg/day) in the most efficient group with the lowest FCR (≤1.4 kg feed/1 kg milk). Our study showed that the most efficient cows with the lowest FCR (≤1.4 kg feed/1 kg milk) had the highest rumination time (597 min/day; p < 0.05), feeding time (298 min/day; p < 0.05), rumination/activity ratio (4.39; p < 0.05) and rumination/feeding ratio (2.04; p < 0.05). Less active cows (activity time 164 min/day; p < 0.05) were the most efficient cows with the lowest FCR (≤1.4 kg feed/1 kg milk). The behavioural differences observed in this study provide new insight into the association of feed behaviour and feed efficiency with milk performance. Incorporating feeding behaviour into the dry matter intake model can improve its accuracy in the future and benefit breeding programmes.

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