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Biological mechanisms related to differences in residual feed intake in dairy cows

Published online by Cambridge University Press:  03 March 2016

Y. M. Xi ,
F. Wu ,
D. Q. Zhao ,
Z. Yang ,
L. Li ,
Z. Y. Han  and
G. L. Wang
Y. M. Xi
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
F. Wu
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
D. Q. Zhao
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
Z. Yang
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
L. Li
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
Z. Y. Han*
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
G. L. Wang*
Affiliation:
Institute of Dairy Science, Nanjing Agricultural University, Nanjing 210095, China
*
†E-mail: [email protected]; [email protected]
†E-mail: [email protected]; [email protected]
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Abstract

Residual feed intake (RFI), defined as the difference between an animal’s actual feed intake and expected feed intake over a specific period, is an inheritable character of feed conversion efficiency in dairy cows. Research has shown that a lower RFI could improve the profitability of milk production. This study explored variation in RFI by comparing the differences in body size, milk performance, feeding behavior, and serum metabolites in 29 Holstein cows in mid lactation. The cows were selected from a total of 84 animals based on their RFI following feedlot tests. Selected cows were ranked into high RFI (RFI >1 SD above the mean, n=14) and low RFI (RFI<1 SD below the mean, n=15). The low RFI cows (more efficient) consumed 1.59 kg/day less dry matter than the high RFI group (P<0.01), while they produced nearly equal 4% fat-corrected milk. The milk : feed ratio was higher for the low RFI group than for the high RFI group (P<0.05). The levels of milk protein (P<0.01), total solids (P<0.05), and nonfat solids (P<0.05) were also higher for the low RFI group, whereas milk urea nitrogen was lower (P<0.01). The daily feeding duration was shorter for the low RFI group than for the high RFI group (P<0.01). No significant differences were found in levels of glucose, β-hydroxybutyrate, prolactin, insulin, IGF-1, growth hormone or ghrelin, but the level of neuropeptide Y was higher (P<0.01) and levels of leptin and non-esterified fatty acid (P<0.05) were lower for the low RFI group than for the high RFI group. There were substantial differences between cows with different RFI, which might affect the efficiency of milk protein metabolism and fat mobilization.

Keywords

dairy cowfeeding behaviormilk performanceresidual feed intakeserum metabolites
Type
Research Article
Information
animal , Volume 10 , Issue 8 , August 2016 , pp. 1311 - 1318
Copyright
© The Animal Consortium 2016 

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References

Baker, SD, Szasz, JI, Klein, TA, Kuber, PS, Hunt, CW, Glaze, JB Jr, Falk, D, Richard, R, Miller, JC, Battaglia, RA and Hill, RA 2006. Residual feed intake of purebred Angus steers: effects on meat quality and palatability. Journal of Animal Science 84, 938–945.CrossRefGoogle ScholarPubMed
Bingham, GM, Friend, TH, Lancaster, PA and Carstens, GE 2014. Relationship between feeding behavior and residual feed intake in growing Brangus heifers. Journal of Animal Science 87, 2685–2689.CrossRefGoogle Scholar
Brown, EG 2005. Sources of biological variation in residual feed intake in growing and finishing steers. PhD Dissertation, Texas A&M University, College Station.Google Scholar
Carstens, G, Welsh, T, Randel, R, Holloway, B, Forrest, D and Keisler, D 2003. Residual feed intake studies in growing steers and bulls. WCC-92 Beef Cattle Energetic Station Report, Reno, Nevada.Google Scholar
Collins, S, Kuhn, CM, Petro, AE, Swick, AG, Chrunyk, BA and Surwit, RS 1996. Role of leptin in fat regulation. Nature 380, 677.CrossRefGoogle ScholarPubMed
Connor, EE, Hutchison, JL, Norman, HD, Olson, KM, Van Tassell, CP, Leith, JM and Baldwin, RL 2013. Use of residual feed intake in Holsteins during early lactation shows potential to improve feed efficiency through genetic selection. Journal of Animal Science 91, 3978–3988.CrossRefGoogle ScholarPubMed
Connor, EE, Hutchison, JL, Olson, KM and Norman, HD 2011. Opportunities for improving milk production efficiency in dairy cattle: triennial lactation symposium. Journal of Animal Science 90, 1687–1694.CrossRefGoogle ScholarPubMed
Considine, RV, Sinha, MK, Heiman, ML, Kriauciunas, A, Stephens, TW, Nyce, MR, Ohannesian, JP, Marco, CC, McKee, LJ, Bauer, TL and Caro, JF 1996. Serum immunoreactive-leptin concentrations in normal-weight and obese humans. New England Journal of Medicine 334, 292–295.CrossRefGoogle ScholarPubMed
Crews, DH 2005. Genetics of efficient feed utilization and national cattle evaluation: a review. Genetics and Molecular Research 4, 152–165.Google ScholarPubMed
Cruz, GD, Rodríguez-Sánchez, JA, Oltjen, JW and 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.CrossRefGoogle ScholarPubMed
Cutshaw, JL, Hunter, JF and Williams, GL 1992. Effects of transcutaneous thermal and electrical stimulation of the teat on pituitary luteinizing hormone, prolactin and oxytocin secretion in ovariectomized, estradiol-treated beef cows following acute weaning. Theriogenology 37, 915–934.CrossRefGoogle ScholarPubMed
Dobos, R and Herd, R 2008. Spectral analysis of feeding patterns of steers divergent in residual feed intake. Animal Production Science 48, 843–846.CrossRefGoogle Scholar
Garcia, AD, Linn, JG, Stewart, SC, Olson, JD and Olson, WG. 1997. Evaluation of milk urea nitrogen (MUN) as a dietary monitor for dairy cows. Journal of Dairy Science 80 (suppl., Abstr.), 161.Google Scholar
Golden, JW, Kerley, MS and Kolath, WH 2008. The relationship of feeding behavior to residual feed intake in crossbred Angus steers fed traditional and no-roughage diets. Journal of Animal Science 86, 180–186.CrossRefGoogle ScholarPubMed
Herd, RM, Archer, JA and Arthur, PF 2003. Reducing the cost of beef production through genetic improvement in residual feed intake: opportunity and challenges to application. Journal of Animal Science 81 (E. suppl.), 9–17.Google Scholar
Herd, RM and 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.CrossRefGoogle Scholar
Higuchi, H, Hasegawa, A and Yamaguchi, T 2005. Transcriptional regulation of neuronal genes and its effect on neural functions: transcriptional regulation of neuropeptide Y gene by leptin and its effect on feeding. Journal of Pharmacological Sciences 98, 225–231.CrossRefGoogle ScholarPubMed
Hoefler, WC and Hallford, DM 1987. Influence of suckling status and type of birth serum hormone profiles and return to estrus in early-postpartum spring-lambing ewes. Theriogenology 27, 887–895.CrossRefGoogle Scholar
Hou, Y, Bickhart, DM, Chung, H, Hutchison, JL, Norman, HD, Connor, EE and Liu, GE 2012. Analysis of copy number variations in Holstein cows identify potential mechanisms contributing to differences in residual feed intake. Functional & Integrative Genomics 12, 717–723.CrossRefGoogle ScholarPubMed
Iwaniuk, ME and Erdman, RA 2015. Intake, milk production, ruminal, and feed efficiency responses to dietary cation-anion difference by lactating dairy cows. Journal of Dairy Science 9, 23.Google Scholar
Johnson, RG and Young, AJ 2003. The association between milk urea nitrogen and DHI production variables in western commercial dairy herds. Journal of Dairy Science 86, 3008–3015.CrossRefGoogle ScholarPubMed
Johnston, DJ 2007. Technical Update NFI & IGF-I. Beef Tech. Note March 2007. Animal Breeding and Genetics, Unit, University of New England, Armidale, Australia.Google Scholar
Johnston, DJ, Herd, RM, Reverter, A and Oddy, VH 2001. Heritability of IGF-I in beef cattle and its association with growth and carcase traits. Proceedings of Association for the Advancement of Animal Breeding and Genetics, New Zealand 14, 163–166.Google Scholar
Jonker, JS and Kohn, RA 2001. Using milk urea nitrogen to evaluate diet formulation and environmental impact on dairy farms. The Scientific World Journal 1 (suppl.), 852–859.CrossRefGoogle ScholarPubMed
Kelly, AK, McGee, M, Crews, DH, Fahey, AG, Wylie, AR and Kenny, DA 2010a. Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers. Journal of Animal Science 88, 109–123.CrossRefGoogle ScholarPubMed
Kelly, AK, McGee, M, Crews, DH Jr, Sweeney, T, Boland, TM and Kenny, DA 2010b. 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.CrossRefGoogle ScholarPubMed
Koch, RM, Swiger, LA, Chambers, D and Gregory, KE 1963. Efficiency of feed use in beef cattle. Journal of Animal Science 22, 486.CrossRefGoogle Scholar
Kundu, SS, Tho, N TB, Sharma, VK and Sontakke, UB 2014. Residual feed intake as a feed efficiency selection tool and its relationship with feed intake, performance and nutrient utilization in Murrah buffalo calves. Tropical Animal Health and Production 46, 615–621.Google Scholar
Lancaster, PA, Carstens, GE, Ribeiro, FRB, Tedeschi, LO and Crews, DH 2009. Characterization of feed efficiency traits and relationships with feeding behavior and ultrasound carcass traits in growing bulls. Journal of Animal Science 87, 1528–1539.CrossRefGoogle ScholarPubMed
Lopez-Villalobos, N, Berry, DP, Horan, B, Buckley, F, Kennedy, J, O’Donovan, M, Shalloo, L and Dillon, P 2008. Genetics of residual energy intake in Irish grazing dairy cows. Proceedings of the New Zealand Society of Animal Production 68, 97–100.Google Scholar
Macdonald, KA, Pryce, JE, Spelman, RJ, Davis, SR, Wales, WJ and Waghorn, GC 2014. Holstein-Friesian calves selected for divergence in residual feed intake during growth exhibited significant but reduced residual feed intake divergence in their first lactation. Journal of Dairy Science 97, 14 27–35.CrossRefGoogle ScholarPubMed
Maniam, J and Morris, MJ 2012. The link between stress and feeding behaviour. Neuropharmacology 63, 97–110.CrossRefGoogle ScholarPubMed
Moore, KL, Johnston, DJ, Graser, HU and Herd, RM 2005. Genetic and phenotypic relationships insulin-like growth factor-I (IGF-I) and net feed intake, fat, and growth traits in Angus beef cattle. Australian Journal of Agricultural Research 56, 211–218.CrossRefGoogle Scholar
Nascimento, CF, Branco, RH, Bonilha, SF, Cyrillo, JN, Negrão, JA and Mercadante, ME 2015. Residual feed intake and blood variables in young Nellore cattle. Journal of Animal Science 93, 1318–1326.CrossRefGoogle ScholarPubMed
National Research Council (NRC) 2001. Nutrient requirements of dairy cattle, 7th revised edition. National Academy of Sciences, Washington, DC. 381pp.Google Scholar
Nkrumah, JD, Basarab, JA, Price, MA, Okine, EK, Ammoura, A, Guercio, S, Hansen, C, Li, C, Benkel, B, Murdoch, B and 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.CrossRefGoogle ScholarPubMed
Nkrumah, JD, Crews, DH, Basarab, JA, Price, MA, Okine, EK, Wang, Z, Li, C and Moore, SS 2007. Genetic and phenotypic relationships of feeding behavior and temperament with performance, feed efficiency, ultrasound, and carcass merit of beef cattle. Journal of Animal Science 85, 2382–2390.CrossRefGoogle ScholarPubMed
Ozkaya, S and Bozkurt, Y 2009. The accuracy of prediction of body weight from body measurements in beef cattle. Archiv Fur Tierzucht 52, 371–377.Google Scholar
Rhee, Y, Paik, MJ and Kim, KR 2008. Plasma free fatty acid level patterns according to cardiovascular risk status in postmenopausal women. Clinica Chimica Acta 392, 11–16.CrossRefGoogle ScholarPubMed
Richardson, EC, Herd, RM, Archer, JA and Arthur, PF 2004. Metabolic differences in Angus steers divergently selected for residual feed intake. Australian Journal of Experimental Agriculture 44, 441–452.CrossRefGoogle Scholar
Robinson, DL and Oddy, VH 2004. Genetic parameters for feed efficiency, fatness, muscle area and feeding behaviour of feedlot finished beef cattle. Livestock Production Science 90, 255–270.CrossRefGoogle Scholar
Sklan, D, Ashkenazi, R, Braun, A, Devorn, A and Tabori, K 1992. Fatty acids, calcium soaps of fatty acids, and cottonseeds fed to high yielding cows. Journal of Dairy Science 75, 2463–2472.CrossRefGoogle ScholarPubMed
Sowell, BF, Bowman, JGP, Branine, ME and Hubbert, ME 1998. Radio frequency technology to measure feeding behavior and health of feedlot steers. Applied Animal Behavior Science 59, 277–284.CrossRefGoogle Scholar
Spicer, LJ, Echternkamp, SE, Canning, SF and Hammond, JM 1988. Relationship between concentrations of immunoreactive insulin-like growth factor-I in follicular fluid and various biochemical markers of differentiation in bovine antral follicles. Biology of Reproduction 39, 573–580.CrossRefGoogle ScholarPubMed
Thomas, MG, Amstalden, M, Hallford, DM, Silver, GA, Garcia, MD and Keisler, DH 2009. Dynamics of GHRH in third-ventricle cerebrospinal fluid of cattle: relationship with serum concentrations of GH and responses to appetite-regulating peptides. Domestic Animal Endocrinology 37, 196–205.CrossRefGoogle ScholarPubMed
Van Arendonk, JAM, Nieuwhof, GJ, Vos, H and Korver, S 1991. Genetic aspects of feed intake and efficiency in lactating dairy heifers. Livestock Production Science 29, 263–275.CrossRefGoogle Scholar
Williams, YJ, Pryce, JE, Grainger, C, Wales, WJ, Linden, N, Porker, M and Hayes, BJ 2011. Variation in residual feed intake in Holstein-Friesian dairy heifers in southern Australia. Journal of Dairy Science 94, 4715–4725.CrossRefGoogle ScholarPubMed
Xi, YM, Yang, Z, Wu, F, Han, ZY and Wang, GL 2015. Gene expression profiling of hormonal regulation related to the residual feed intake of holstein cattle. Biochemical and Biophysical Research Communications 28, 30322–30323.Google Scholar
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