Development of a ceramic bolus for the permanent electronic identification of sheep, goat and cattle

Caja, G.; Conill, Carlos; Nehring, R. Barry; Ribò, O.

doi:10.1016/s0168-1699(99)00036-8

Cited by 65 publications

(91 citation statements)

References 4 publications

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“…Thomas et al (2006) reported that the overall loss of e-ETs was 9.9 % for sheep in 4.5 months and 19.2 % for lambs in about 3 months, and these lost rates were unacceptably high for official use. Elec- tronic and visual ear tag losses observed in the study were lower than those reported in the literature (Caja et al, 1999;Conill et al, 2002;Rusk, 2002;Ghirardi et al, 2006;Thomas et al, 2006). …”

Section: Resultscontrasting

confidence: 54%

“…When tags were missing, the date was recorded and the animal was re-tagged. The readability (R) and dynamic reading efficiency (DRE) of ear tags were calculated using the following formulas: R (%) = (n readable devices/n applied devices) × 100 (Caja et al, 2014); DRE = (n read transponders/n readable transponders) × 100 (Caja et al, 1999). The number of unreadable transponder with electronic readers; 2 dynamic reading efficiency (n read transponders/n readable transponders × 100); 3 one hundred eighty-three male lambs were sold at 7 months of age.…”

Section: Administration and Monitoring Of Identification Devicesmentioning

confidence: 99%

“…The retention of e-ETs and v-ETs in lambs has shown remarkable variability, ranging from 85.4 to 100 % in e-ETs (Thomas et al, 2006) and 91.7 to 100 % in v-ETs (Caja et al, 1999Conill et al, 2002;Ghirardi et al, 2007). In addition, the tagging site on the animal's ear is critical for its retention (Caja et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Performance of electronic and visual ear tags in lambs under extensive conditions in Turkey

et al. 2015

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Abstract. The objective of this study was to evaluate the effectiveness of electronic and visual ear tags in animal traceability, and to investigate the effect of placement site on ear-tag retention in Akkaraman lambs under rural conditions. A total of 380 lambs were identified with electronic and visual ear tags. Electronic and visual ear tags displayed 98.9 and 98.7 % readability at the end of 7 months, and 98.0 and 98.0 % readability at the end of the first year after tagging, respectively. Regarding the placement site, it was observed that there was more loss in ear tags placed on the mid-point part of the ear than the first-quarter part from the head side, but the difference was not statistically significant (P > 0.05). Breakages and electronic failures were not recorded during this study. In conclusion, electronic and visual ear tags demonstrated similar on-farm efficiency for the identification of Akkaraman lambs and fulfilled the minimum efficiency of 98 % required by the International Committee for Animal Recording (ICAR) for an official animal identification device at the end of the first year after tagging. Based on the findings of the study, placement of the ear tag in a cranial position and near the base of the ear would be advised.

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Section: Resultscontrasting

confidence: 54%

Section: Administration and Monitoring Of Identification Devicesmentioning

confidence: 99%

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Performance of electronic and visual ear tags in lambs under extensive conditions in Turkey

et al. 2015

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“…The goat was restrained and the bolus was applied at the end of its tongue. The mouth of the animal was closed to stimulate involuntary deglutition, as described by Caja et al (1999). After deglutition, the bolus was retained in the reticulum or rumen.…”

Section: Methodsmentioning

confidence: 99%

“…Electronic ruminal boluses comply with the requirements established by ICAR (2007) and, therefore, are considered safe and effective means of identification of cattle and sheep (Caja et al, 1999;Ghirardi et al, 2006). However, high variability has been observed for retention rate of electronic rumen boluses in goats (Pinna et al, 2006;Carné et al, 2009a;Carné et al, 2009b).…”

Section: Introductionmentioning

confidence: 92%

Electronic and visual identification devices for adult goats reared in semi-intensive system

et al. 2014

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-This study intended to evaluate three identification devices for adult goats reared in semi-intensive system. They were (1) the ruminal bolus, electronic identification device composed of non-toxic ceramic and weighing 74.4 g; (2) small ear tag on left ear, visual identification device with dimensions of 50 × 15mm; and (3) big ear tag on right ear, also a visual identification device with dimensions of 42 × 48 mm. Twenty-two crossbred Boer female goats with mean age of 4 years and mean body weight (BW) of 52.6 kg were used. The identification devices were applied on all animals. Time spent for administration/application, readability and retention rate of devices were assessed. Problems during and after the application of devices, as well as device losses were recorded. Evaluations were performed one day and one week after application, then, monthly, for six months. The time spent for administration/application of the devices showed mean of 21 s and was similar between the evaluated devices. One big ear tag was lost, which decreased the retention rate of this device to 95.5%. The other devices showed retention rate of 100%. The readability was 100% for all studied devices. Small ear tags and ruminal boluses used in this study are recommended for adult goats. Production systems, environment, and ear tags with large dimensions may affect the retention rates of these visual identification devices.

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Recognition of Cattle Using Face Images

Kumar¹,

Singh

et al. 2017

Animal Biometrics

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Development of a ceramic bolus for the permanent electronic identification of sheep, goat and cattle

Cited by 65 publications

References 4 publications

Performance of electronic and visual ear tags in lambs under extensive conditions in Turkey

Performance of electronic and visual ear tags in lambs under extensive conditions in Turkey

Electronic and visual identification devices for adult goats reared in semi-intensive system

Recognition of Cattle Using Face Images

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