Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?
David J. Augustine A * , Edward J. Raynor A , Sean P. Kearney A and Justin D. Derner BA United States Department of Agriculture, Agricultural Research Service, Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA.
B United States Department of Agriculture, Agricultural Research Service, Rangeland Resources and Systems Research Unit, Cheyenne, WY 82009, USA.
Animal Production Science - https://doi.org/10.1071/AN21560
Submitted: 31 October 2021 Accepted: 3 March 2022 Published online: 20 May 2022
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Context: Technologies are now available to continuously monitor livestock foraging behaviours, but it remains unclear whether such measurements can meaningfully inform livestock grazing management decisions. Empirical studies in extensive rangelands are needed to quantify relationships between short-term foraging behaviours (e.g. minutes to days) and longer-term measures of animal performance.
Aims: The objective of this study was to examine whether four different ways of measuring daily foraging behaviour (grazing-bout duration, grazing time per day, velocity while grazing, and turn angle while grazing) were related to weight gain by free-ranging yearling steers grazing semiarid rangeland.
Methods: Yearling steers were fitted with neck collars supporting a solar-powered device that measured GPS locations at 5 min intervals and used an accelerometer to predict grazing activity at 4 s intervals. These devices were used to monitor steers in four different paddocks that varied in forage biomass, and across two grazing seasons encompassing a wide range of forage conditions. Steer weight gain (kg/steer.day) was measured in each paddock during each of three ∼60 day time intervals, and daily foraging behaviours were measured during 15–21 days in each interval.
Results: A model based on only two daily measurements of foraging behaviour, mean grazing bout duration (calculated at a 5 min resolution) and mean velocity while grazing explained 62% of the variation in animal weight gain.
Conclusions: Daily measurements of foraging behaviour vary substantially in response to varying foraging conditions in space and time, and can effectively serve as indicators of variation in cattle weight gain.
Implications: On-animal sensors that monitor foraging behaviour have the potential to transmit indicators to livestock managers in real time (e.g. daily) to help inform decisions such as when to move animals among paddocks, or when to sell or transition animals from rangeland to confined feeding operations.
Keywords: accelerometer, average daily gain, forage limitation, grazing bout duration, grazing velocity, semiarid rangeland, shortgrass steppe, weight gain.
References
Agreil C, Meuret M (2004) An improved method for quantifying intake rate and ingestive behaviour of ruminants in diverse and variable habitats using direct observation. Small Ruminant Research 54, 99–113.| An improved method for quantifying intake rate and ingestive behaviour of ruminants in diverse and variable habitats using direct observation.Crossref | GoogleScholarGoogle Scholar |
Aharoni Y, Dolev A, Henkin Z, Yehuda Y, Ezra A, Ungar ED, Shabtay A, Brosh A (2013) Foraging behavior of two cattle breeds, a whole-year study: I. Heat production, activity and energy costs. Journal of Animal Science 91, 1381–1390.
| Foraging behavior of two cattle breeds, a whole-year study: I. Heat production, activity and energy costs.Crossref | GoogleScholarGoogle Scholar | 23348687PubMed |
Anderson DR (2008) ‘Model based inference in the life sciences: a primer on evidence.’ (Springer: New York, NY, USA)
Augustine DJ, Derner JD (2013) Assessing herbivore foraging behavior with GPS collars in a semiarid grassland. Sensors 13, 3711–3723.
| Assessing herbivore foraging behavior with GPS collars in a semiarid grassland.Crossref | GoogleScholarGoogle Scholar | 23503296PubMed |
Augustine DJ, Derner JD (2021) Long-term effects of black-tailed prairie dogs on livestock grazing distribution and mass gain. The Journal of Wildlife Management 85, 1332–1343.
| Long-term effects of black-tailed prairie dogs on livestock grazing distribution and mass gain.Crossref | GoogleScholarGoogle Scholar |
Augustine DJ, Derner JD, Fernández-Giménez ME, Porensky LM, Wilmer H, Briske DD (2020) Adaptive, multipaddock rotational grazing management: a ranch-scale assessment of effects on vegetation and livestock performance in semiarid rangeland. Rangeland Ecology & Management 73, 796–810.
| Adaptive, multipaddock rotational grazing management: a ranch-scale assessment of effects on vegetation and livestock performance in semiarid rangeland.Crossref | GoogleScholarGoogle Scholar |
Augustine DJ, Springer TL (2013) Competition and facilitation between a native and a domestic herbivore: trade-offs between forage quantity and quality. Ecological Applications 23, 850–863.
| Competition and facilitation between a native and a domestic herbivore: trade-offs between forage quantity and quality.Crossref | GoogleScholarGoogle Scholar | 23865235PubMed |
Barwick J, Lamb DW, Dobos R, Welch M, Schneider D, Trotter M (2020) Identifying sheep activity from tri-axial acceleration signals using a moving window classification model. Remote Sensing 12, 646
| Identifying sheep activity from tri-axial acceleration signals using a moving window classification model.Crossref | GoogleScholarGoogle Scholar |
Bement RE (1969) A stocking-rate guide for beef production on blue-grama range. Journal of Range Management 22, 83–86.
| A stocking-rate guide for beef production on blue-grama range.Crossref | GoogleScholarGoogle Scholar |
Benvenutti MA, Pavetti DR, Poppi DP, Gordon IJ, Cangiano CA (2016) Defoliation patterns and their implications for the management of vegetative tropical pastures to control intake and diet quality by cattle. Grass and Forage Science 71, 424–436.
| Defoliation patterns and their implications for the management of vegetative tropical pastures to control intake and diet quality by cattle.Crossref | GoogleScholarGoogle Scholar |
Bonnet OJF, Meuret M, Tischler MR, Cezimbra IM, Azambuja JCR, Carvalho PCF (2015) Continuous bite monitoring: a method to assess the foraging dynamics of herbivores in natural grazing conditions. Animal Production Science 55, 339–349.
| Continuous bite monitoring: a method to assess the foraging dynamics of herbivores in natural grazing conditions.Crossref | GoogleScholarGoogle Scholar |
Braghieri A, Pacelli C, Girolami A, Napolitano F (2011) Time budget, social and ingestive behaviours expressed by native beef cows in Mediterranean conditions. Livestock Science 141, 47–52.
| Time budget, social and ingestive behaviours expressed by native beef cows in Mediterranean conditions.Crossref | GoogleScholarGoogle Scholar |
Brosh A, Henkin Z, Ungar ED, Dolev A, Orlov A, Yehuda Y, Aharoni Y (2006) Energy cost of cows’ grazing activity: use of the heart rate method and the Global Positioning System for direct field estimation. Journal of Animal Science 84, 1951–1967.
| Energy cost of cows’ grazing activity: use of the heart rate method and the Global Positioning System for direct field estimation.Crossref | GoogleScholarGoogle Scholar | 16775080PubMed |
Carvalho PCF, Bremm C, Mezzalira JC, Fonseca L, da Trindade JK, Bonnet OJF, Tischler M, Genro TCM, Nabinger C, Laca EA (2015) Can animal performance be predicted from short-term grazing processes? Animal Production Science 55, 319–327.
| Can animal performance be predicted from short-term grazing processes?Crossref | GoogleScholarGoogle Scholar |
Claverie M, Ju J, Masek JG, Dungan JL, Vermote EF, Roger J-C, Skakun SV, Justice C (2018) The Harmonized Landsat and Sentinel-2 surface reflectance data set. Remote Sensing of Environment 219, 145–161.
| The Harmonized Landsat and Sentinel-2 surface reflectance data set.Crossref | GoogleScholarGoogle Scholar |
Da Trindade JK, Pinto CE, Neves FP, Mezzalira JC, Bremm C, Genro TCM, Tischler MR, Nabinger C, Gonda HL, Carvalho PCF (2012) Forage allowance as a target of grazing management: implications on grazing time and forage searching. Rangeland Ecology & Management 65, 382–393.
| Forage allowance as a target of grazing management: implications on grazing time and forage searching.Crossref | GoogleScholarGoogle Scholar |
Derner JD, Reeves JL, Mortenson MC, West M, Gonzalo Irisarri J, Durante M (2016) Estimating overnight weight loss of corralled yearling steers in semiarid rangeland. Rangelands 38, 101–104.
| Estimating overnight weight loss of corralled yearling steers in semiarid rangeland.Crossref | GoogleScholarGoogle Scholar |
Imaz JA, Garcia S, González LA (2020) Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle. Computers and Electronics in Agriculture 178, 105729
| Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle.Crossref | GoogleScholarGoogle Scholar |
Irisarri JGN, Derner JD, Porensky LM, Augustine DJ, Reeves JL, Mueller KE (2016)) Grazing intensity differentially regulates ANPP response to precipitation in North American semiarid grasslands. Ecological Applications 26, 1370–1380.
Kareiva P, Odell G (1987) Swarms of predators exhibit ‘preytaxis’ if individual predators use area-restricted search. The American Naturalist 130, 233–270.
| Swarms of predators exhibit ‘preytaxis’ if individual predators use area-restricted search.Crossref | GoogleScholarGoogle Scholar |
Kearney SP, Porensky LM, Augustine DJ, Gaffney R, Derner JD (2022) Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management. Remote Sensing of Environment 271, 112907
| Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management.Crossref | GoogleScholarGoogle Scholar |
Kelly EF, Yonkers CM, Blecker SW, Olson CG (2008) Soil development and distribution in the shortgrass steppe ecosystem. In ‘Ecology of the shortgrass steppe: a long-term perspective’. (Eds W Lauenroth, IC Burke) pp. 30–54. (Oxford University Press: New York, NY, USA)
Laca EA (2008) Foraging in a heterogeneous environment: intake and diet selection. In ‘Resource ecology: spatial and temporal dynamics of foraging’. (Eds HHT Prins, F Van Langevelde) pp. 81–100. (CAB International: Wageninger, The Netherlands)
McLennan S, McLean I, Paton C (2020) Re-defining the animal unit equivalence (AE) for grazing ruminants and its application for determining forage intake, with particular relevance to the northern Australian grazing industries. Meat and Livestock Australia Limited, Sydney, NSW, Australia.
Orr RJ, Penning PD, Rutter SM, Champion RA, Harvey A, Rook AJ (2001) Intake rate during meals and meal duration for sheep in different hunger states, grazing grass or white clover swards. Applied Animal Behaviour Science 75, 33–45.
| Intake rate during meals and meal duration for sheep in different hunger states, grazing grass or white clover swards.Crossref | GoogleScholarGoogle Scholar |
Peel DS (2003) Beef cattle growing and backgrounding programs. Veterinary Clinics of North America: Food Animal Practice 19, 365–385.
| Beef cattle growing and backgrounding programs.Crossref | GoogleScholarGoogle Scholar |
Porensky LM, Derner JD, Augustine DJ, Milchunas DG (2017) Plant community composition after 75 yr of sustained grazing intensity treatments in shortgrass steppe. Rangeland Ecology & Management 70, 456–464.
| Plant community composition after 75 yr of sustained grazing intensity treatments in shortgrass steppe.Crossref | GoogleScholarGoogle Scholar |
Raynor EJ, Derner JD, Soder KJ, Augustine DJ (2021) Noseband sensor validation and behavioural indicators for assessing beef cattle grazing on extensive pastures. Applied Animal Behaviour Science 242, 105402
| Noseband sensor validation and behavioural indicators for assessing beef cattle grazing on extensive pastures.Crossref | GoogleScholarGoogle Scholar |
Searle KR, Hobbs NT, Gordon IJ (2007) It’s the ‘foodscape’, not the landscape: using foraging behaviour to make functional assessments of landscape condition. Israel Journal of Ecology and Evolution 53, 297–316.
| It’s the ‘foodscape’, not the landscape: using foraging behaviour to make functional assessments of landscape condition.Crossref | GoogleScholarGoogle Scholar |
Spiegal S, Estell RE, Cibils AF, James DK, Peinetti HR, Browning DM, Romig KB, Gonzalez AL, Lyons AJ, Bestelmeyer BT (2019) Seasonal divergence of landscape use by heritage and conventional cattle on desert rangeland. Rangeland Ecology & Management 72, 590–601.
| Seasonal divergence of landscape use by heritage and conventional cattle on desert rangeland.Crossref | GoogleScholarGoogle Scholar |
Suparwito H, Thomas DT, Wong KW, Xie H, Rai S (2021) The use of animal sensor data for predicting sheep metabolisable energy intake using machine learning. Information Processing in Agriculture 8, 494–504.
| The use of animal sensor data for predicting sheep metabolisable energy intake using machine learning.Crossref | GoogleScholarGoogle Scholar |
Ungar ED, Rutter SM (2006) Classifying cattle jaw movements: comparing IGER behaviour recorder and acoustic techniques. Applied Animal Behaviour Science 98, 11–27.
| Classifying cattle jaw movements: comparing IGER behaviour recorder and acoustic techniques.Crossref | GoogleScholarGoogle Scholar |
Ungar ED, Schoenbaum I, Henkin Z, Dolev A, Yehuda Y, Brosh A (2011) Inference of the activity timeline of cattle foraging on a Mediterranean woodland using GPS and pedometry. Sensors 11, 362–383.
| Inference of the activity timeline of cattle foraging on a Mediterranean woodland using GPS and pedometry.Crossref | GoogleScholarGoogle Scholar | 22346582PubMed |
USDA (2007a) Ecological site description for Loamy Plains (R067BY002CO). Available at https://esis.sc.egov.usda.gov/ESDReport/fsReport.aspx?approved=yes&id=R067BY002CO
USDA (2007b) Ecological site description for Sandy Plains (R067BY024CO). Available at https://esis.sc.egov.usda.gov/ESDReport/fsReport.aspx?approved=yes&id=R067BY024CO
Wilmer H, Derner JD, Fernández-Giménez ME, Briske DD, Augustine DJ, Porensky LM (2018)) Collaborative adaptive rangeland management fosters management-science partnerships. Rangeland Ecology & Management 71, 646–657.