scholarly journals Monitoring lidia cattle with GPS-GPRS technology; a study on grazing behaviour and spatial distribution

2017 ◽  
Vol 4 (4) ◽  
Author(s):  
Juan Manuel Lomillos Pérez ◽  
Marta Elena Alonso de la Varga ◽  
Juan José García ◽  
Vicente Ramiro Gaudioso Lacasa

Veterinaria México OA ISSN: 2448-6760Cite this as:Lomillos Pérez JM, Alonso de la Varga ME, García JJ, Gaudioso Lacasa VR. Monitoring lidia cattle with GPS-GPRS technology; a study on grazing behaviour and spatial distribution. Veterinaria México OA. 2017;4(4). doi:10.21753/vmoa.4.4.405.The behavior of grazing cattle has not been studied as much as farmed animals. In certain breeds, reared in extensive systems, human presence can cause an interruption or modification in their ethological patterns moving away from the person watching them. The use of technologies like a Global Position System and a General Packet Radio Service (GPS-GPRS) allows monitoring bovine animals exploited in extensive systems, providing information in real time about distances traveled, home range grazing areas, frequented territories, behavior patterns, etc. In the present work, GPS-GPRS collars were used to monitor 21 cows of to the lidia cattle breed, with different ages, and from three different herds in the Salamanca province (Spain). The study lasted 8 months, the animals being distributed in enclosures of different dimensions and orographic characteristics, geographic position data being collected every 15 minutes. The proper functioning of the GPS-GPRS devices was proven and home range grazing area for each animal has been calculated, with an average of 56 hectares. A graph of animals’ circadian rhythm with the distances traveled for hours has been developed. A trend was observed to start daily activity hours before dawn, diminishing its activity with the evening and overnight, with a night’s rest phase of about 7 hours. We also report daily distance traveled (3.15 km on average), finding differences depending on age, available space allowance/animal, daylight and theseason. Our results could be of relevance for a better pasture management using enclosures of size that increase the use of all the surface available.Figure 3. Image of fencing No. 5 positions of the 3 animals monitored. Red, Yellow, Blue.

Author(s):  
P. Brumby

At the outset it must be made clear that this paper is largely based on John Hancock's extensive grazing behaviour studies at Ruakura. More recently I have had the opportunity of carrying out further observations on grazing cattle. A brief review of these, of Hancock's earlier work, and a number of related overseas reports form the basis of this paper.


2018 ◽  
Vol 92 (4) ◽  
pp. 251
Author(s):  
Jennifer Sevigny ◽  
Michael Sevigny ◽  
Emily George-Wirtz ◽  
Amanda Summers

Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1975
Author(s):  
Wei Liu ◽  
Yuyi Jin ◽  
Yongjie Wu ◽  
Chenhao Zhao ◽  
Xingcheng He ◽  
...  

To effectively protect a species, understanding its habitat needs and threats across its life-history stages is necessary. The Black-necked Crane (Grus nigricollis) is an endangered wetland bird species of the Qinghai–Tibetan Plateau, which is an important grazing area in China. To overcome the conflict between increasing grazing activities and the protection of wild cranes, we investigated the variation of habitat utilization within the home range of cranes at different stages (preincubation, incubation, postfledging, and fully fledged stages). We manually tracked 13 pairs of cranes in the Zoige international wetland, used the fixed-kernel-polygon (FKP) method to determine home-range size, and used satellite images to identify different habitat types. The average home-range size was 143.38 ± 34.46 ha. Cranes were most often located in meadow habitats followed by marsh meadows and marshes. During the postfledging stage, home-range size was significantly decreased, with the proportion of marsh habitat slightly increased. Since this stage is crucial for young-crane survival, research on the importance of marshes and effective protection measures should be further strengthened.


1954 ◽  
Vol 45 (1) ◽  
pp. 96-103 ◽  
Author(s):  
John Hancock ◽  
C. P. McMeekan

1. A series of observations on the grazing behaviour of identical twin cattle on two contrasting systems of pasture management—rotationally and continuously grazed—is described.2. The rotationally grazed cows averaged only 11 min. (day/cow) shorter feeding time and 18 min. shorter ruminating time than their continuously grazed co-twins. The total time they spent in work was thus 29 min. shorter.3. While the average differences in total work over the whole trial was not great, the continuously grazed cows worked for appreciably longer daily periods at the time of seasonal feed shortage during which time the rotationally grazed cows were buffered by their pasture diet being supplemented with silage.4. The differences in grazing behaviour between the cows of the two treatments, together with the magnitude of the seasonal variations which occurred in both groups, indicated that dairy cows attempt to maintain a stable production in the face of adverse pasture conditions by increasing their feeding time.5. Previous conclusions based on observations of uniformly treated twins regarding the importance of heredity in the determination of grazing behaviour were fully confirmed.


2017 ◽  
Vol 68 (12) ◽  
pp. 1091 ◽  
Author(s):  
P. L. Greenwood ◽  
D. R. Paull ◽  
J. McNally ◽  
T. Kalinowski ◽  
D. Ebert ◽  
...  

Practical and reliable measurement of pasture intake by individual animals will enable improved precision in livestock and pasture management, provide input data for prediction and simulation models, and allow animals to be ranked on grazing efficiency for genetic improvement. In this study, we assessed whether pasture intake of individual grazing cattle could be estimated from time spent exhibiting behaviours as determined from data generated by on-animal sensor devices. Variation in pasture intake was created by providing Angus steers (n = 10, mean ± s.d. liveweight 650 ± 77 kg) with differing amounts of concentrate supplementation during grazing within individual ryegrass plots (≤0.22 ha). Pasture dry matter intake (DMI) for the steers was estimated from the slope (kg DM day–1) of the regression of total pasture DM per plot on intake over an 11-day period. Pasture DM in each plot, commencing with ≤2 t DM ha–1, was determined by using repeatedly calibrated pasture height and electronic rising plate meters. The amounts of time spent grazing, ruminating, walking and resting were determined for the 10 steers by using data from collar-mounted, inertial measurement units and a previously developed, highly accurate, behaviour classification model. An initial pasture intake algorithm was established for time spent grazing: pasture DMI (kg day–1) = –4.13 + 2.325 × hours spent grazing (P = 0.010, r2 = 0.53, RSD = 1.65 kg DM day–1). Intake algorithms require further development, validation and refinement under varying pasture conditions by using sensor devices to determine specific pasture intake behaviours coupled with established methods for measuring pasture characteristics and grazing intake and selectivity.


1972 ◽  
Vol 79 (2) ◽  
pp. 249-257 ◽  
Author(s):  
N. R. Brockington

SUMMARYA mathematical model has been constructed to simulate pasture contamination by the faeces of grazing cattle and the effects on herbage intake. The model describes the rate of deposition of faeces in relation to herbage intake, the effects of contamination on intake as modified by grazing pressure, and the rate at which the influence of faeces on grazing behaviour declines after deposition.The information available on these processes is incomplete and imprecise in a number of respects. It appears from the modelling exercise that further data are most urgently needed on the rate at which the inhibitory influence of faeces declines, and on the precise effect of grazing pressure on the amount of herbage rejected.A secondary effect of contamination is recognized, in which the utilization of herbage initially rejected because of the presence of faeces is modified subsequently because the temporary protection from grazing allows it to become too mature. This effect may be quantitatively larger than the primary contamination effect on untrimmed pastures, but its accurate prediction depends on the establishment of comprehensive relationships between the amount and composition of herbage on offer and intake by the grazing animal. The latter studies deserve at least an equal research priority, in relation to the contamination problem in toto, as the elucidation of the details of the primary effect.


2000 ◽  
Vol 78 (3) ◽  
pp. 458-464 ◽  
Author(s):  
Ann M Kitchen ◽  
Eric M Gese ◽  
Edward R Schauster

Long-term stability of territorial boundaries has not been well documented in canids. To evaluate the prevalence of long-term spatial stability of coyote (Canis latrans) home ranges, we compared the overlap of territorial boundaries and the spatial distribution of telemetry locations of packs in southeastern Colorado. From August 1983 to July 1988 (period 1), 16 coyotes from six packs were radio-tracked. From April 1996 to August 1997 (period 2), 12 coyotes from six packs were captured and tracked in the same area. Mean percentage of overlap of pack ranges was 89.8 ± 8.3% (±SD) for period 1 ranges over period 2 ranges and 55.8 ± 14.4% for period 2 ranges over period 1 ranges. Mean percentage of overlap of the 30% core area of the home ranges was 65.2 ± 13.9% for those of period 1 over those of period 2 and 66.3 ± 28.7% for those of period 2 over those of period 1. Despite substantial overlap of home-range and core-use areas, there were significant differences in the distribution of locations between periods in five of six home ranges. This suggests that, although packs are faithful to one site (i.e., boundaries remain similar over a period of years), their use of the site (i.e., distribution of locations within the range) may change temporally.


2000 ◽  
Vol 90 (1-2) ◽  
pp. 111-118 ◽  
Author(s):  
A.B Forbes ◽  
C.A Huckle ◽  
M.J Gibb ◽  
A.J Rook ◽  
R Nuthall

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