Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-22T18:23:38.008Z Has data issue: false hasContentIssue false

Choices between red clover and fescue in the diet can be reliably estimated in heifers post-weaning using n-alkanes

Published online by Cambridge University Press:  21 February 2019

N. Vargas Jurado
Affiliation:
Department of Animal and Poultry Science, Virginia Tech, Blacksburg, VA 24061, USA
A. E. Tanner
Affiliation:
Department of Animal and Poultry Science, Virginia Tech, Blacksburg, VA 24061, USA
S. Blevins
Affiliation:
Department of Animal and Poultry Science, Virginia Tech, Blacksburg, VA 24061, USA
D. Fiske
Affiliation:
Shenandoah Valley Agricultural Research and Extension Center, Raphine, VA 24472, USA
W. S. Swecker Jr
Affiliation:
Virginia-Maryland Regional College of Veterinary Medicine, Blacksburg, VA 24061, USA
H. M. McNair
Affiliation:
Department of Chemistry, Virginia Tech, Blacksburg, VA 24061, USA
R. M. Lewis*
Affiliation:
Department of Animal and Poultry Science, Virginia Tech, Blacksburg, VA 24061, USA
*
Get access

Abstract

Measuring diet choice in grazing animals is challenging, complicating the assessment of feed efficiency in pasture-based systems. Furthermore, animals may modify their intake of a forage species depending on its nutritive value and on their own physiological status. Various fecal markers have been used to estimate feed intake in grazing animals. However, plant-wax markers such as n-alkanes (ALK) and long-chain alcohols may provide reliable estimates of both dietary choices and intakes. Still, their use in beef cattle has been relatively limited. The present study was designed to test the reliability of the ALK technique to estimate diet choices in beef heifers. Twenty-two Angus-cross heifers were evaluated at both post-weaning and yearling age. At each age, they were offered both red clover and fescue hay as cubes. Following 3-week acclimation periods, daily intake of each forage species was assessed daily for 10 days. During the final 5 days, fecal grab samples were collected twice daily. The ALK fecal concentrations were adjusted using recovery fractions compiled from literature. Diet composition was estimated using two statistical methods. Post-weaning, dietary choices were reliably estimated, with low residual error, regardless of the statistical approach adopted. The regression of observed on estimated red clover proportion ranged from 0.85±0.08 to 1.01±0.09 for fecal samples collected in the p.m. and for daily proportions once averaged, respectively. However, at yearling age, the estimates were less reliable. There was a tendency to overestimate the red clover proportion in diets of heifers preferring fescue, and vice versa. This was due to greater variability in ALK fecal concentrations in the yearling heifers. Overall, the ALK technique provided a reliable tool for estimating diet choice in animals fed a simple forage diet. Although further refinements in the application of this methodology are needed, plant-wax markers provide opportunities for evaluating diet composition in grazing systems in cattle.

Type
Research Article
Copyright
© The Animal Consortium 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

a

Present address: Animal Science Department, University of Nebraska – Lincoln, Lincoln, NE 68533, USA.

References

Bani, P, Piccioli Cappelli, F, Minuti, A, Ficuciello, V, Lopreiato, V, Garnsworthy, PC and Trevisi, E 2004. Estimation of dry matter intake by n-alkanes in dairy cows fed TMR: effect of dosing technique and faecal collection time. Animal Production Science 54, 17471751.CrossRefGoogle Scholar
Bezabih, M, Pellikaan, WF and Hendriks, WH 2011. Using n-alkanes and their carbon isotope enrichments (δ13C) to estimate the botanical composition of pasture mixes from the Mid Rift Valley grasslands of Ethiopia. Livestock Science 142, 298304.CrossRefGoogle Scholar
Brosh, A, Henkin, Z, Rothman, SJ, Aharoni, Y, Orlov, A and Arieli, A 2003. Effects of faecal n-alkane recovery in estimates of diet composition. Journal of Agricultural Science 140, 93100.CrossRefGoogle Scholar
Charmley, E and Dove, H 2007. Using plant wax markers to estimate diet composition and intakes of mixed forages in sheep by feeding a known amount of alkane-labelled supplement. Australian Journal of Agricultural Research 58, 12151225.CrossRefGoogle Scholar
Cribari-Neto, F and Zeileis, A 2010. Beta Regression in R. Journal of Statistical Software 34, 124.CrossRefGoogle Scholar
Decruyenaere, V, Planchon, V, Dardenne, P and Stilmant, D 2015. Prediction error and repeatability of near infrared reflectance spectroscopy applied to faeces samples in order to predict voluntary intake and digestibility of forages by ruminants. Animal Feed Science and Technology 205, 4959.CrossRefGoogle Scholar
Dove, H and Mayes, RW 1991. The use of plant wax alkanes as marker substances in studies of the nutrition of herbivores: a review. Australian Journal of Agricultural Research 42, 913952.CrossRefGoogle Scholar
Dove, H and Mayes, RW 2000. Measurement of dietary nutrient intake in free-ranging mammalian herbivores. Nutrition Research Reviews 13, 107138.Google Scholar
Dove, H and Mayes, RW 2006. Protocol for the analysis of n-alkanes and other plant-wax compounds and for their use as markers for quantifying the nutrient supply of large mammalian herbivores. Nature Protocols 1, 16801697.CrossRefGoogle ScholarPubMed
Dove, H and Moore, AD 1995. Using a least-squares optimization procedure to estimate botanical composition based on the alkanes of plant cuticular wax. Australian Journal of Agricultural Research 46, 15351544.CrossRefGoogle Scholar
Dove, H, Mayes, RW and Freer, M 1996. Effects of species, plant part, and plant age on the n-alkane concentrations in the cuticular wax of pasture plants. Australian Journal of Agricultural Research 47, 13331347.CrossRefGoogle Scholar
Eddelbuettel, D and Francois, R 2011. Rcpp: seamless R and C++ integration. Journal of Statistical Software 40, 119.CrossRefGoogle Scholar
Elwert, C, Dove, H and Rodehutscord, M 2006. Effect of roughage species consumed on fecal alkane recovery in sheep, and effect of sample drying treatment on alkane concentrations. Australian Journal of Agricultural Science 46, 771776.Google Scholar
Elwert, C, Dove, H and Rodehutscord, M 2008. Fecal alkane recoveries from multicomponent diets and effects on estimates of diet composition in sheep. Animal 2, 125134.CrossRefGoogle Scholar
Ferrari, SLP and Cribari-Neto, F 2004. Beta regression for modeling rates and proportions. Journal of Applied Statistics 31, 799815.CrossRefGoogle Scholar
Ferreira, LMM, Celaya, R, García, U, Rodrigues, MAM and Osoro, K 2009. Differences between domestic herbivores species in alkane faecal recoveries and the accuracy of subsequent estimates of diet composition. Animal Feed Science and Technology 151, 128142.CrossRefGoogle Scholar
Ferreira, LMM, Celaya, R, Santos, AS, Guedes, CMV, Rodrigues, MAM, Mayes, RW and Osoro, K 2012. Evaluation of long-chain alcohols as diet composition markers in goats grazing heathland areas. Animal 6, 683692.CrossRefGoogle ScholarPubMed
Franzluebbers, AJ 2007. Integrated crop-livestock systems in the Southeastern USA. Agronomy Journal 99, 361372.CrossRefGoogle Scholar
Gorocica-Buenfil, MA and Loerch, SC 2005. Effect of cattle age, forage level, and corn processing on diet digestibility and feedlot performance. Journal of Animal Science 83, 705714.CrossRefGoogle ScholarPubMed
Lewis, RM, Vargas Jurado, N, Hamilton, HC and Volesky, JD 2016. Are plant waxes reliable dietary markers for cattle grazing western rangelands? Journal of Animal Science 94 (suppl. 6), 93102.CrossRefGoogle Scholar
Lin, JL, Zhu, XY, Jiang, C, Luo, HL, Wang, H, Zhang, YJ and Hong, FZ 2012. The potential use of n-alkanes, long-chain alcohols and long-chain fatty acids as diet composition markers: indoor validation with sheep and herbage species from the rangeland of Inner Mongolia of China. Animal 6, 449458.CrossRefGoogle ScholarPubMed
López López, C, Celaya, R, Santos, AS, Rodrigues, MAM, Osoro, K and Ferreira, LMM 2015. Application of long-chain alcohols as faecal markers to estimate diet composition of horses and cattle fed with herbaceous and woody species. Animal 9, 17861794.CrossRefGoogle ScholarPubMed
National Water and Climate Center 2018. U.S. Department of Agriculture-Natural Resources Conservation Service. Retrieved on 1 December 2018 from https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=2088.Google Scholar
Newman, JA, Thompson, WA, Penning, PD and Mayes, RW 1995. Least-squares estimation of diet composition from n-alkanes in herbage and feces using matrix mathematics. Australian Journal of Agricultural Research 46, 793805.CrossRefGoogle Scholar
Núñez-Sánchez, N, Carrion, D, Peña Blanco, F, García, VD, Garzón Sigler, A and Martínez-Marín, AL 2016. Evaluation of botanical and chemical composition of sheep diet by using faecal near infrared spectroscopy. Animal Feed Science and Technology 222, 16.CrossRefGoogle Scholar
Olivan, M, Ferreira, LMM, Celaya, R and Osoro, K 2007. Accuracy of the n-alkane technique for intake estimates in beef cattle using different sampling procedures and feeding levels. Livestock Science 106, 2840.CrossRefGoogle Scholar
Oliveira, DE, Medeiros, SR, Tedeschi, LO, Silva, SC and Lanna, DPD 2015. Fecal n-alkanes variation in lactating dairy cows Grazing a tropical pasture (Cynodon nlemfüensis Vanderyst var. Nlemfüensis). Tropical and Subtropical Agroecosystems 18, 313321.Google Scholar
Owens, FN and Hanson, CF 1992. External and internal markers for appraising site and extent of digestion in ruminants. Journal of Dairy Science 75, 26052617.CrossRefGoogle ScholarPubMed
Perez-Ramirez, E, Peyraud, JL and Delagarde, R 2012. n-Alkanes v. ytterbium/faecal index as two methods for estimating herbage intake of dairy cows fed on diets differing in the herbage: maize silage ratio and feeding level. Animal 6, 232244.CrossRefGoogle ScholarPubMed
Prigge, EC, Varga, GA, Vicini, JL and Reid, RL 1981. Comparison of Ytterbium chloride and chromium sesquioxide as fecal indicators. Journal of Animal Science 53, 16291633.CrossRefGoogle ScholarPubMed
R Core Team 2017. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved on 1 December 2017 from https://www.R-project.org/.CrossRefGoogle Scholar
Rutter, SM 2010. Review: Grazing preferences in sheep and cattle: implications for production, the environment and welfare. Canadian Journal of Animal Science 90, 285293.CrossRefGoogle Scholar
Tracy, BF and Sanderson, MA 2000. Patterns of plant species richness in pasture lands of the northeast United States. Plant Ecology 149, 169180.CrossRefGoogle Scholar
van den Pol-Van Dasselaar, A, Valk, H and de Visser, M 2006. Recovery of n-alkanes in manure of dairy cows fed fresh grass supplemented with corn silage. In Proceedings of the 21st General Meeting of the European Grassland Federation, 3–6 April, Badajoz, Spain, pp. 451–453.Google Scholar
Vargas Junior, FM, Wechsler, FS, Rossi, P, Morais, MV and Schmidt, P 2011. Voluntary intake of dry matter and performance of Nellore and their Nellore and crossbreed Simmental x Nellore calves. Revista Brasileira de Zootecnia 40, 25742581.CrossRefGoogle Scholar
Vargas Jurado, N, Eskridge, K, Kachman, SD and Lewis, RM 2018. Using a Bayesian hierarchical model to estimate diet composition. Journal of Agricultural, Biological and Environmental Statistics 23, 190207.CrossRefGoogle Scholar
Vargas Jurado, N, Tanner, AE, Blevins, SR, McNair, HM, Mayes, RW and Lewis, RM 2014. Long-chain alcohols did not improve predictions of the composition of tall fescue and red clover mixtures over n-alkanes alone. Grass and Forage Science 70, 499506.CrossRefGoogle Scholar
Vargas Jurado, N, Tanner, AE, Blevins, SR, Rich, J, Mayes, RW, Fiske, D, Swecker, WS Jr and Lewis, RM 2015. Feed intake and diet selection in Angus-cross heifers of two frame sizes and two stages of growth. Journal of Animal Science 93, 15651572.CrossRefGoogle ScholarPubMed
Voinov, VG and Nikulin, MS 1996. Unbiased estimators and their applications, volume 2, 1st edition. Springer Netherlands, Dordrecht, The Netherlands.Google Scholar