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RESEARCH ARTICLE

Similar feed-intake levels yield no differences in energy utilisation between beef heifers identified as low (efficient) and high (inefficient) for residual feed intake

T. P. Vining https://orcid.org/0009-0003-9981-4089 A * , P. A. Lancaster https://orcid.org/0000-0002-2871-6065 B , N. DiLorenzo C , G. C. Lamb D and J. M. B. Vendramini E
+ Author Affiliations
- Author Affiliations

A Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA.

B Department of Clinical Sciences, College of Veterinary Medicine, Beef Cattle Institute, Kansas State University, Manhattan, KS 66505, USA.

C North Florida Research and Education Center, University of Florida, Marianna, FL 32446, USA.

D Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843, USA.

E Range Cattle Research and Education Center, University of Florida, Ona, FL 33865, USA.

* Correspondence to: paul.vining@okstate.edu

Handling Editor: James Dougherty

Animal Production Science 64, AN23269 https://doi.org/10.1071/AN23269
Submitted: 9 August 2023  Accepted: 20 February 2024  Published: 7 March 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

Improving cattle feed efficiency would reduce feed costs and increase herd profitability. Residual feed intake (RFI) is commonly used to rank cattle for feed efficiency, with low-RFI animals being more efficient than high-RFI animals. However, RFI classification merits further investigation because observed differences in heat energy (HE) production between low- and high-RFI cattle may be related to heat associated with differences in dry-matter intake (DMI) rather than maintenance-energy requirements.

Aims

To determine energy partitioning of beef heifers with low and high residual feed intake.

Methods

Angus crossbred heifers (n = 60) were fed a grower diet (metabolisable energy (ME) = 2.17 Mcal/kg DM) for 70 days. Feed intake was recorded daily using the GrowSafe system, and bodyweight (BW) was recorded every 14 days. Residual feed intake was calculated as the residual from the regression of DMI on mid-test BW0.75 and average daily gain (ADG) (R2 = 0.31). Low-RFI (n = 8) and high-RFI (n = 8) heifers were selected for a metabolism experiment to determine energy partitioning at three feed-intake levels, namely, ad libitum intake, and 1.0× and 0.5× expected maintenance-energy requirement. Apparent nutrient digestibility was determined using indigestible neutral detergent fibre (iNDF) as an internal marker. The sulfur hexafluoride (SF6) tracer and oxygen-pulse techniques determined methane emissions and heat production respectively. Metabolisable energy required for maintenance (MEm) and fasting heat production (HeE) were then calculated from the regression of log HP on ME intake (MEI). Efficiencies of ME used for maintenance and growth were calculated from HeE, MEm, and retained energy at ad libitum intake.

Key results

Residual feed intake was strongly correlated with DMI (0.83). Low-RFI heifers consumed 31% less (P = 0.01) feed than high-RFI heifers during the performance experiment. Heifers with low RFI had greater MEm, but similar efficiencies of ME use for maintenance and gain as did high RFI heifers.

Conclusion

These data indicated that selection based on RFI may not lead to improved energy efficiency in growing heifers.

Implications

The results of this study indicated that low-RFI cattle may not have lower maintenance-energy requirements or differences in efficiencies of ME use than do high-RFI cattle.

Keywords: digestibility, energy expenditure, energy metabolism, feed efficiency, heat production, heifers, methane, oxygen pulse, residual feed intake.

References

Allen MS (1996) Physical constraints on voluntary intake of forages by ruminants. Journal of Animal Science 74, 3063-3075.
| Crossref | Google Scholar | PubMed |

Andreini EM, Augenstein SM, Fales CS, Sainz RD, Oltjen JW (2020) Effects of feeding level on efficiency of high- and low-residual feed intake beef steers. Journal of Animal Science 98, skaa286.
| Crossref | Google Scholar |

AOAC (1995) ‘Official methods of analysis’, 16th edn. (Association of Official Analytical Chemists: Washington, DC, USA)

Archer JA, Richardson EC, Herd RM, Arthur PF (1999) Potential for selection to improve efficiency of feed use in beef cattle: a review. Australian Journal of Agricultural Research 50, 147-162.
| Crossref | Google Scholar |

Arieli A, Kalouti A, Aharoni Y, Brosh A (2002) Assessment of energy expenditure by daily heart rate measurement – validation with energy accretion in sheep. Livestock Production Science 78, 99-105.
| Crossref | Google Scholar |

Arthur PF, Archer JA, Johnston DJ, Herd RM, Richardson EC, Parnell PF (2001a) Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle. Journal of Animal Science 79, 2805-2811.
| Crossref | Google Scholar | PubMed |

Arthur PF, Renand G, Krauss D (2001b) Genetic and phenotypic relationships among different measures of growth and feed efficiency in young Charolais bulls. Livestock Production Science 68, 131-139.
| Crossref | Google Scholar |

Baldassini WA, Ramsey JJ, Branco RH, Bonilha SFM, Chiaratti MR, Chaves AS, Lanna DPD (2018) Estimated heat production, blood parameters and mitochondrial DNA copy number of Nellore bulls (Bos indicus) with high and low residual feed intake. Livestock Science 217, 140-147.
| Crossref | Google Scholar |

Ball AJ, Thompson JM (1995) The effect of selection for differences in ultrasonic backfat depth on the feed utilisation for maintenance and biological efficiency in sheep. Proceedings of the Australian Association of Animal Breeding and Genetics 11, 403-417.
| Google Scholar |

Basarab JA, Price MA, Aalhus JL, Okine EK, Snelling WM, Lyle KL (2003) Residual feed intake and body composition in young growing cattle. Canadian Journal of Animal Science 83, 189-204.
| Crossref | Google Scholar |

Berry DP, Crowley JJ (2012) Residual intake and body weight gain: a new measure of efficiency in growing cattle. Journal of Animal Science 90, 109-115.
| Crossref | Google Scholar | PubMed |

Blaxter KL, Clapperton JL (1965) Prediction of the amount of methane produced by ruminants. British Journal of Nutrition 19, 511-522.
| Crossref | Google Scholar |

Blaxter KL, Clapperton JL, Martin AK (1966) The heat of combustion of the urine of sheep and cattle in relation to its chemical composition and to diet. British Journal of Nutrition 20, 449-460.
| Crossref | Google Scholar | PubMed |

Brosh A (2007) Heart rate measurements as an index of energy expenditure and energy balance in ruminants: a review. Journal of Animal Science 85, 1213-1227.
| Crossref | Google Scholar | PubMed |

Brown EG (2005) Sources of biological variation in residual feed intake in growing and finishing steers. PhD Dissertation, Texas A&M University, College Station, TX, USA.

Castro Bulle FCP, Paulino PV, Sanches AC, Sainz RD (2007) Growth, carcass quality, and protein and energy metabolism in beef cattle with different growth potentials and residual feed intakes. Journal of Animal Science 85, 928-936.
| Crossref | Google Scholar | PubMed |

Cleveland ER, Johnson RK, Mandigo RW, Peo ER, Jr. (1983) Index selection and feed intake restriction in swine. II. Effect on energy utilization. Journal of Animal Science 56, 570-578.
| Crossref | Google Scholar |

Cole NA, McCuistion K, Greene LW, McCollum FT (2011) Effects of concentration and source of wet distillers grains on digestibility of steam-flaked corn-based diets fed to finishing steers. The Professional Animal Scientist 27, 302-311.
| Crossref | Google Scholar |

Crews DH, Shannon NH, Genswein BMA, Crews RE, Johnson CM, Kendrick BA (2003) Genetic parameters for net feed efficiency of beef cattle measured during postweaning growing versus finishing periods. In ‘Proceedings of the American Society Animal Science – Western Section’. pp. 125–128. (American Society of Animal Science: Chicago, IL, USA)

Cruz GD, Rodríguez-Sánchez JA, Oltjen JW, Sainz RD (2010) Performance, residual feed intake, digestibility, carcass traits, and profitability of Angus-Hereford steers housed in individual or group pens. Journal of Animal Science 88, 324-329.
| Crossref | Google Scholar | PubMed |

DeVries TJ, von Keyserlingk MAG (2009) Competition for feed affects the feeding behavior of growing dairy heifers. Journal of Dairy Science 92, 3922-3929.
| Crossref | Google Scholar | PubMed |

DiCostanzo A, Meiske JC, Plegge SD, Peters TM, Goodrich RD (1990) Within-herd variation in energy utilization for maintenance and gain in beef cows. Journal of Animal Science 68, 2156-2165.
| Crossref | Google Scholar | PubMed |

Durunna ON, Mujibi FDN, Goonewardene L, Okine EK, Basarab JA, Wang Z, Moore SS (2011) Feed efficiency differences and reranking in beef steers fed grower and finisher diets. Journal of Animal Science 89, 158-167.
| Crossref | Google Scholar | PubMed |

Durunna ON, Colazo MG, Ambrose DJ, McCartney D, Baron VS, Basarab JA (2012) Evidence of residual feed intake reranking in crossbred replacement heifers. Journal of Animal Science 90, 734-741.
| Crossref | Google Scholar | PubMed |

Ferrell CL, Jenkins TG (1985) Cow type and the nutritional environment: nutritional aspects. Journal of Animal Science 61, 725-741.
| Crossref | Google Scholar | PubMed |

Fox JT, Carstens GE, Brown EG, White MB, Woods SA, Welsh TH, Holloway JW, Warrington BG, Randel RD, Forrest DW, Lunt DK (2004) Net feed intake of growing bulls and relationships with performance, fertility and ultrasound composition traits. In ‘Beef Cattle Research in Texas Report’. (Ed. AD Herring) pp. 117–120. (Texas A&M University: College Station, TX, USA)

Gomes RC, Sainz RD, Silva SL, César MC, Bonin MN, Leme PR (2012) Feedlot performance, feed efficiency reranking, carcass traits, body composition, energy requirements, meat quality and calpain system activity in Nellore steers with low and high residual feed intake. Livestock Science 150, 265-273.
| Crossref | Google Scholar |

González LA, Tolkamp BJ, Coffey MP, Ferret A, Kyriazakis I (2008) Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows. Journal of Dairy Science 91, 1017-1028.
| Crossref | Google Scholar | PubMed |

Hafla AN, Carstens GE, Forbes TDA, Tedeschi LO, Bailey JC, Walter JT, Johnson JR (2013) Relationships between postweaning residual feed intake in heifers and forage use, body composition, feeding behavior, physical activity, and heart rate of pregnant beef females. Journal of Animal Science 91, 5353-5365.
| Crossref | Google Scholar | PubMed |

Hegarty RS, Goopy JP, Herd RM, McCorkell B (2007) Cattle selected for lower residual feed intake have reduced daily methane production. Journal of Animal Science 85, 1479-1486.
| Crossref | Google Scholar | PubMed |

Herd RM, Bishop SC (2000) Genetic variation in residual feed intake and its association with other production traits in British Hereford cattle. Livestock Production Science 63, 111-119.
| Crossref | Google Scholar |

Herd RM, Arthur PF, Bottema CDK, Egarr AR, Geesink GH, Lines DS, Piper S, Siddell JP, Thompson JM, Pitchford WS (2018) Genetic divergence in residual feed intake affects growth, feed efficiency, carcass and meat quality characteristics of Angus steers in a large commercial feedlot. Animal Production Science 58, 164-174.
| Crossref | Google Scholar |

Herd RM, Velazco JI, Smith H, Arthur PF, Hine B, Oddy H, Dobos RC, Hegarty RS (2019) Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle. Journal of Animal Science 97, 2202-2219.
| Crossref | Google Scholar | PubMed |

Johnson K, Huyler M, Westberg H, Lamb B, Zimmerman P (1994) Measurement of methane emissions from ruminant livestock using a sulfur hexafluoride tracer technique. Environmental Science & Technology 28, 359-362.
| Crossref | Google Scholar | PubMed |

Kelly AK, McGee M, Crews DH, Jr., Sweeney T, Boland TM, Kenny DA (2010) Repeatability of feed efficiency, carcass ultrasound, feeding behavior, and blood metabolic variables in finishing heifers divergently selected for residual feed intake. Journal of Animal Science 88, 3214-3225.
| Crossref | Google Scholar | PubMed |

Koch RM, Swiger LA, Chambers D, Gregory KE (1963) Efficiency of feed use in beef cattle. Journal of Animal Science 22, 486-494.
| Crossref | Google Scholar |

Krizsan SJ, Huhtanen P (2013) Effect of diet composition and incubation time on feed indigestible neutral detergent fiber concentration in dairy cows. Journal of Dairy Science 96, 1715-1726.
| Crossref | Google Scholar | PubMed |

Krueger WK (2009) Understanding beef cattle efficiency:(I) Understanding physiological and digestive factors affecting residual feed intake and (II) tannin supplementation: effects on animal performance, fermentation, and carcass traits. PhD Dissertation, Texas A&M University, College Station, TX, USA.

Lamb GC, Larson JE, Geary TW, Stevenson JS, Johnson SK, Day ML, Ansotegui RP, Kesler DJ, DeJarnette JM, Landblom DG (2006) Synchronization of estrus and artificial insemination in replacement beef heifers using gonadotropin-releasing hormone, prostaglandin F2α, and progesterone. Journal of Animal Science 84, 3000-3009.
| Crossref | Google Scholar | PubMed |

Lancaster PA (2008) Biological sources of variation in residual feed intake. PhD Dissertation, Texas A&M University, College Station, TX, USA.

Lancaster PA, Schilling BR, Carstens GE, Brown EG, Craig TM, Lunt DK (2005a) Correlations between residual feed intake and carcass traits in finishing steers administered anthelmintic treatments. Journal of Animal Science 83(Suppl. 1), 263.
| Google Scholar |

Lancaster PA, Carstens GE, Woods SA, Dean DT (2005b) Evaluation of feed efficiency traits in growing bulls: I. Relationships with growth and ultrasound carcass measurements. In ‘Beef Cattle Research in Texas’. (Ed. AD Herring) pp. 35–40. (Texas A&M University: College Station, TX, USA)

Lancaster PA, Carstens GE, Ribeiro FRB, Davis ME, Lyons JG, Welsh TH, Jr. (2008) Effects of divergent selection for serum insulin-like growth factor-I concentration on performance, feed efficiency, and ultrasound measures of carcass composition traits in Angus bulls and heifers. Journal of Animal Science 86, 2862-2871.
| Crossref | Google Scholar | PubMed |

Lancaster PA, Carstens GE, Crews DH, Jr., Welsh TH, Jr., Forbes TDA, Forrest DW, Tedeschi LO, Randel RD, Rouquette FM (2009a) Phenotypic and genetic relationships of residual feed intake with performance and ultrasound carcass traits in Brangus heifers. Journal of Animal Science 87, 3887-3896.
| Crossref | Google Scholar | PubMed |

Lancaster PA, Carstens GE, Ribeiro FRB, Tedeschi LO, Crews DH, Jr. (2009b) Characterization of feed efficiency traits and relationships with feeding behavior and ultrasound carcass traits in growing bulls. Journal of Animal Science 87, 1528-1539.
| Crossref | Google Scholar | PubMed |

Lawrence P, Kenny DA, Earley B, Crews DH, Jr., McGee M (2011) Grass silage intake, rumen and blood variables, ultrasonic and body measurements, feeding behavior, and activity in pregnant beef heifers differing in phenotypic residual feed intake. Journal of Animal Science 89, 3248-3261.
| Crossref | Google Scholar | PubMed |

Lighton JRB (2008) ‘Measuring metabolic rates: a manual for scientists.’ (Oxford University Press: New York, NY, USA)

Lines DS, Pitchford WS, Bottema CDK, Herd RM, Oddy VH (2018) Selection for residual feed intake affects appetite and body composition rather than energetic efficiency. Animal Production Science 58, 175-184.
| Crossref | Google Scholar |

McLean JA, Tobin G (1987) ‘Animal and human calorimetry.’ (Cambridge University Press: NY, USA)

Nkrumah JD, Basarab JA, Price MA, Okine EK, Ammoura A, Guercio S, Hansen C, Li C, Benkel B, Murdoch B, Moore SS (2004) Different measures of energetic efficiency and their phenotypic relationships with growth, feed intake, and ultrasound and carcass merit in hybrid cattle. Journal of Animal Science 82, 2451-2459.
| Crossref | Google Scholar | PubMed |

Nkrumah JD, Okine EK, Mathison GW, Schmid K, Li C, Basarab JA, Price MA, Wang Z, Moore SS (2006) Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle. Journal of Animal Science 84, 145-153.
| Crossref | Google Scholar | PubMed |

Nkrumah JD, Basarab JA, Wang Z, Li C, Price MA, Okine EK, Crews DH, Jr., Moore SS (2007) Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle. Journal of Animal Science 85, 2711-2720.
| Crossref | Google Scholar | PubMed |

NRC (2000) ‘Nutrient requirements of beef cattle.’ 7th edn. (The National Academies Press: Washington, DC, USA) doi:10.17226/9791

Pitchford WS, Accioly JM, Banks RG, Barnes AL, Barwick SA, Copping KJ, Deland MPB, Donoghue KA, Edwards N, Hebart ML, Herd RM, Jones FM, Laurence M, Lee SJ, McKiernan WA, Parnell PF, Speijers EJ, Tudor GD, Graham JF (2018) Genesis, design and methods of the beef CRC maternal productivity project. Animal Production Science 58, 20-32.
| Crossref | Google Scholar |

Richardson EC, Herd RM, Archer JA, Arthur PF (2004) Metabolic differences in Angus steers divergently selected for residual feed intake. Australian Journal of Experimental Agriculture 44, 441-452.
| Crossref | Google Scholar |

Schenkel FS, Miller SP, Wilton JW (2004) Genetic parameters and breed differences for feed efficiency, growth, and body composition traits of young beef bulls. Canadian Journal of Animal Science 84, 177-185.
| Crossref | Google Scholar |

Shaffer KS, Turk P, Wagner WR, Felton EED (2011) Residual feed intake, body composition, and fertility in yearling beef heifers. Journal of Animal Science 89, 1028-1034.
| Crossref | Google Scholar | PubMed |

Tess MW, Dickerson GE, Nienaber JA, Ferrell CL (1984) The effects of body composition on fasting heat production in pigs. Journal of Animal Science 58, 99-110.
| Crossref | Google Scholar | PubMed |

Van Soest PJ, Robertson JB, Lewis BA (1991) Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 3583-3597.
| Crossref | Google Scholar | PubMed |

White MB (2004) Variation in energy expenditure between growing steers with divergent residual feed intake. MS Thesis, Texas A&M University, College Station, TX, US.

Williams CB, Jenkins TG (2003) A dynamic model of metabolizable energy utilization in growing and mature cattle. II. Metabolizable energy utilization for gain. Journal of Animal Science 81, 1382-1389.
| Crossref | Google Scholar | PubMed |