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RESEARCH ARTICLE

The use of GNSS technology to identify lambing behaviour in pregnant grazing Merino ewes

R. C. Dobos A B E , S. Dickson B D , D. W. Bailey C and M. G. Trotter B D
+ Author Affiliations
- Author Affiliations

A New South Wales Department of Primary Industries Beef Industry Centre of Excellence, Armidale, NSW 2351, Australia.

B Precision Agriculture Research Group, University of New England, Armidale, NSW 2351, Australia.

C Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88003, USA.

D Cooperative Research Centre for Spatial Information, 204 Lygon Street, Melbourne, VIC 3053, Australia.

E Corresponding author. Email: robin.dobos@dpi.nsw.gov.au

Animal Production Science 54(10) 1722-1727 https://doi.org/10.1071/AN14297
Submitted: 13 March 2014  Accepted: 23 June 2014   Published: 19 August 2014

Abstract

This current study investigated whether pre-lambing behavioural changes could be identified with the use of global navigation satellite system (GNSS) technology. GNSS devices were deployed on 20 pregnant Merino ewes grazing a 1.6 ha paddock and their lambing activity was compared with the metrics derived from the spatial data. The aims were to evaluate the lambing event using the following three separate metrics: (1) mean daily speed (MDS) of ewes 7 days before and to 7 days after lambing, inclusive (n = 12); (2) mean hourly speed (MHS) 12 h before and 12 h after lambing, inclusive (n = 9); and (3) the mean distance the lambing ewe to her peers in the 7 days before and the 7 days after lambing (mean distance to peers (MDP); n = 9), inclusive. There was a significant (P < 0.01) difference between pre- and post-lambing MDS with average ± se MDS pre-lambing being faster than post-lambing (0.051 ± 0.0004 vs 0.047 ± 0.0005 m/s). Pre- and post-lambing MHS differed significantly (P < 0.05), with mean ± s.e. MHS pre-lambing being faster than post-lambing (0.049 ± 0.002 vs 0.038 ± 0.002 m/s). Mean distance to peers indicated that at the time of lambing, ewes were significantly (P < 0.01) further from their peers than at either pre- or post-lambing (83.6 ± 14.59 vs 35.2 ± 2.82 vs 35.6 ± 1.68 m). Despite MDS and MHS metrics indicating significant changes pre- and post-lambing, neither metric was able to identify the time of lambing. The MDP metric could not identify differences pre- and post-lambing but was useful at predicting lambing. The current study found that MDS and MHS metrics have the potential to determine a ‘trigger’ point that could identify parturition and therefore could be used to determine the day of lambing. Therefore, further research is required to determine if a combination of these metrics could identify pre-lambing activity that would enable informed management decisions to be made.

Additional keywords: behaviour, lambing, movement metrics, pregnant ewe, spatio-temporal.


References

Arnold G, Morgan P (1975) Behaviour of the ewe and lamb at lambing and its relationship to lamb mortality. Applied Animal Ethology 2, 25–46.
Behaviour of the ewe and lamb at lambing and its relationship to lamb mortality.Crossref | GoogleScholarGoogle Scholar |

Beyer HL (2012) ‘Geospatial modelling environment (Version 0.7.2.0).’ Available at http://www.spatialecology.com/gme [Accessed October 2013]

Broster J, Rathbone D, Robertson S, King B, Friend M (2012) Ewe movement and ewe-lamb contact levels in shelter are greater at higher stocking rates. Animal Production Science 52, 502–506.
Ewe movement and ewe-lamb contact levels in shelter are greater at higher stocking rates.Crossref | GoogleScholarGoogle Scholar |

Ciuti S, Pipia A, Grignolio S, Ghiandai F, Apollonio M (2009) Space use, habitat selection and activity patterns of female Sardinian mouflon (Ovis orientalis musimon) during the lambing season. European Journal of Wildlife Research 55, 589–595.
Space use, habitat selection and activity patterns of female Sardinian mouflon (Ovis orientalis musimon) during the lambing season.Crossref | GoogleScholarGoogle Scholar |

Cloete S, Scholtz A (1998) Lamb survival in relation to lambing and neonatal behaviour in medium wool Merino lines divergently selected for multiple rearing ability. Animal Production Science 38, 801–811.
Lamb survival in relation to lambing and neonatal behaviour in medium wool Merino lines divergently selected for multiple rearing ability.Crossref | GoogleScholarGoogle Scholar |

Cornou C, Lundbye-Christensen S (2012) Modeling of sows diurnal activity pattern and detection of parturition using acceleration measurements. Computers and Electronics in Agriculture 80, 97–104.
Modeling of sows diurnal activity pattern and detection of parturition using acceleration measurements.Crossref | GoogleScholarGoogle Scholar |

Dobos RC (2010) Bayesian change-point analysis of grazing sheep behaviour to identify lambing. In ‘1st Australian and New Zealand spatially enabled livestock management symposium, Armidale’, July 2010.

Dutra F, Quintans G, Banchero G (2007) Lesions in the central nervous system associated with perinatal lamb mortality. Australian Veterinary Journal 85, 405–413.
Lesions in the central nervous system associated with perinatal lamb mortality.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD2srot1Cisg%3D%3D&md5=f0fc0b56eb72588bea8184f5a7292e4bCAS | 17903128PubMed |

Dwyer CM (2008) Genetic and physiological determinants of maternal behaviour and lamb survival: implications for low-input sheep management. Journal of Animal Science 86, E246–E258.

ESRI (2012) ‘ArcGIS 10.1’. (ESRI: Redlands, CA)

Ganskopp D, Cruz R, Johnson D (2000) Least-effort pathways?: a GIS analysis of livestock trails in rugged terrain. Applied Animal Behaviour Science 68, 179–190.
Least-effort pathways?: a GIS analysis of livestock trails in rugged terrain.Crossref | GoogleScholarGoogle Scholar | 10804263PubMed |

Handcock RN, Swain DL, Bishop-Hurley GJ, Patison KP, Wark T, Valencia P, O’Neill CJ (2009) Monitoring animal behaviour and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing. Sensors 9, 3586–3603.
Monitoring animal behaviour and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing.Crossref | GoogleScholarGoogle Scholar | 22412327PubMed |

Hatcher S, Hinch GN, Kilgour RJ, Holst PJ, Refshauge PG, Shands CG (2010) Lamb survival: balancing genetics, selection and management. AFBM Journal 7, 65–78.

Huzzey JM, von Keyserlingk MAG, Weary DM (2005) Changes in feeding, drinking, and standing behaviour of dairy cows during the transition period. Journal of Dairy Science 88, 2454–2461.
Changes in feeding, drinking, and standing behaviour of dairy cows during the transition period.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXlsFCmsLc%3D&md5=95d1f4a995ec2f0ccbee81d89cf08ae1CAS | 15956308PubMed |

Langbein J, Scheibe KM, Eichhorn K (1998) Investigations on periparturient behaviour in free‐ranging mouflon sheep (Ovis orientalis musimon). Journal of Zoology 244, 553–561.
Investigations on periparturient behaviour in free‐ranging mouflon sheep (Ovis orientalis musimon).Crossref | GoogleScholarGoogle Scholar |

Marchesi G, Leonardi S, Tangorra FM, Calcante A, Beretta E, Pofcher E, Lazzari M (2013) Evaluation of an electronic system for automatic calving detection on a dairy farm. Animal Production Science 53, 1112–1114.
Evaluation of an electronic system for automatic calving detection on a dairy farm.Crossref | GoogleScholarGoogle Scholar |

Miedema JM (2010) Investigating the use of behavioural, accelerometer and heart rate measurements to predict calving in dairy cows. PhD Thesis, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, UK.

Nowak R, Poindron P (2006) From birth to colostrum: early steps leading to lamb survival. Reproduction, Nutrition, Development 46, 431–446.
From birth to colostrum: early steps leading to lamb survival.Crossref | GoogleScholarGoogle Scholar | 16824451PubMed |

Palombi C, Paolucci M, Stradaioli G, Corubolo M, Pascolo PB, Monaci M (2013) Evaluation of remote monitoring of parturition in dairy cattle as a new tool for calving management. BMC Veterinary Research 9, 191
Evaluation of remote monitoring of parturition in dairy cattle as a new tool for calving management.Crossref | GoogleScholarGoogle Scholar | 24079910PubMed |

Putfarken D, Dengler J, Lehmann S, Härdtle W (2008) Site use of grazing cattle and sheep in a large-scale pasture landscape: a GPS/GIS assessment. Applied Animal Behaviour Science 111, 54–67.
Site use of grazing cattle and sheep in a large-scale pasture landscape: a GPS/GIS assessment.Crossref | GoogleScholarGoogle Scholar |

Robertson S, Friend M, Broster J, King B (2011) Survival of twin lambs is increased with shrub belts. Animal Production Science 51, 925–938.
Survival of twin lambs is increased with shrub belts.Crossref | GoogleScholarGoogle Scholar |

Robertson S, King B, Broster J, Friend M (2012) The survival of lambs in shelter declines at high stocking intensities. Animal Production Science 52, 497–501.
The survival of lambs in shelter declines at high stocking intensities.Crossref | GoogleScholarGoogle Scholar |

Ruckebusch Y (1975) Feeding and sleeping patterns of cows prior to and post parturition. Applied Animal Ethology 1, 283–292.
Feeding and sleeping patterns of cows prior to and post parturition.Crossref | GoogleScholarGoogle Scholar |

SAS (2010) ‘SAS/STAT users guide. Version 9.2.’ (SAS Institute Inc.: Cary, NC)

Stevens D, Alexander G, Lynch J (1981) Do Merino ewes seek isolation or shelter at lambing? Applied Animal Ethology 7, 149–155.
Do Merino ewes seek isolation or shelter at lambing?Crossref | GoogleScholarGoogle Scholar |

Swain DL, Friend MA, Bishop-Hurley G, Handcock R, Wark T (2011) Tracking livestock using global positioning systems: are we still lost? Animal Production Science 51, 167–175.
Tracking livestock using global positioning systems: are we still lost?Crossref | GoogleScholarGoogle Scholar |

Taylor DB, Schneider DA, Brown WY, Price IR, Trotter MG, Lamb DW, Hinch GN (2011) GPS observation of shelter utilisation by merino ewes. Animal Production Science 51, 724–737.
GPS observation of shelter utilisation by merino ewes.Crossref | GoogleScholarGoogle Scholar |

Trotter M (2013) PA innovations in livestock, grazing systems and rangeland management to improve landscape productivity and sustainability. Agricultural Science 25, 27–31.

Trotter M, Lamb D (2008) GPS tracking for monitoring animal, plant and soil interactions in livestock systems. In ‘Proceedings of the 9th international conference on precision agriculture’, Denver, Colorado, USA.

Trotter M, Lamb D, Hinch G, Guppy C (2010a) Global navigation satellite system livestock tracking: system development and data interpretation. Animal Production Science 50, 616–623.
Global navigation satellite system livestock tracking: system development and data interpretation.Crossref | GoogleScholarGoogle Scholar |

Trotter MG, Lamb DW, Donald GE, Schneider DA (2010b) Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture. Crop and Plant Science 61, 389–398.
Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture.Crossref | GoogleScholarGoogle Scholar |

Turner L, Udal M, Larson B, Shearer S (2000) Monitoring cattle behavior and pasture use with GPS and GIS. Canadian Journal of Animal Science 80, 405–413.
Monitoring cattle behavior and pasture use with GPS and GIS.Crossref | GoogleScholarGoogle Scholar |