Razafinarivo Tsirinirina Donnah¹*, Rakotomanana Olga Rachel¹, MICHELLE Reine Lucie¹, Rasoanomenjanahary Auldine², Janelle Jérôme³, Salgado Paulo³, XavierJuanès³ and Tillard Emmanuel³

¹National Center for Research Applied to Rural Development (FOFIFA-DRZVP)
²The National Institute of Vaccines (IMVAVET)
³Centre for International Cooperation in Agricultural Research for Development (CIRAD)

*Corresponding Author: Razafinarivo Tsirinirina Donnah, National Center for Research Applied to Rural Development (FOFIFA-DRZVP).

Received: December 13, 2021; Published: February 23, 2022

Abstract

The cattle are one of the riches that make the Malagasy people famous, it intervenes in their daily life whether cultural, social or economic. However, due to a lack of traceability, several shortfalls are to be deplored in this sector, including the export of meat to European markets. This document presents the development of an electronic cattle identification system in order to control the sanitary traceability of products from cattle breeding for food safety. This system uses an electronic chip in the form of a ruminal bolus that works by low-frequency radio waves. To do this, about 600 cattle from the FOFIFA station in Kianjasoa, Madagascar, were identified using the electronic boluses and then monitored monthly to determine the retention rate of the identification system. At the same time, all information about each identified animal was collected, over time, to be transcribed and centralized in the LASER database. This makes it possible, on the one hand, to trace the product back to its original rearing in the event of a dispute and, on the other hand, to determine certain zootechnical parameters indicative of the breeding. For example, thanks to this tool, the annual growth rate of the identified herds was calculated at about 30%. This data seems essential to us in order to be able to estimate the demographic evolution of the workforce as well as the quantity of cattle meat to be exported while preserving the current number of livestock. During the first three years of cattle monitoring, the application of boluses showed no particular incident. This identification system could obtain approval from the International Committee on Animal Identification, as an annual retention rate of 100% was recorded during the study. In addition, this device impossible to falsify will make it possible to considerably reduce the theft of cattle in Madagascar. Thus, traceability, beyond the bond of trust established with consumers, is an important factor in enhancing the value chain and economic recovery of the beef sector in Madagascar.

Keywords: Bolus; Demography; LASER; Legislation; Puce; RFID

References

1. Bornschein M., et al. “Guide to the labelling of meat, meat preparations, meat products and fishery products”. Food Agroscope Transfer 215 (2018).
2. Caja G., et al. “Use of electronic boluses for ruminant traceability: state of the art, implementation and evaluation in sheep and cattle, Autonomous University of Barcelona - 08193 Bellaterra - Spain, Agro Montpellier-INRA-Cirad, UMR ERRC, 2 Place Viala -34060 Montpellier Cedex 1 - France (2006).
3. Caja G., et al. “ Elec. Agric., 24, 45-63 Ghirardi J., 2006. Doctoral Thesis, UAB, Bellatera (Barcelona). 150 p.
4. Capote J., et al. “Retention of rumen boluses for electronic identification in different fathoms of Spanish goats. ITEA Production Animal 26 (2005): 297-299.
5. Carné S., et al. “ITEA Production Animal 26 (2005): 297-299.
6. Drouet M., et al. “Tous sur le bolus ruminal”. Vétalis Technologies (2016)
7. Fallon RJ. “The development and use of electronic ruminal boluses as a vehicle for bovine identification”. Revue scientifique et technique (International Office of Epizootics) 20 (2001): 480-490.
8. Fallon R J., et al. “Evaluation of Rumen Boluses as a Method of Electronic Animal Identification”. Irish Journal of Agricultural and Food Research 2 (2001): 161-168.
9. Garín D., et al. “Performance and effects of small ruminal boluses for electronic identification of young lambs”. Livestock Production Science 92 (2003): 47-58.
10. Ghirardi JJ., et al. “Guidelines approved by the General Assambly held in Sousse, Tunisia International Committee for Animal Recording, Rome, Italy”. Journal of Animal Science 84 (2006): 2865-2872.
11. “Guidelines approved by the General Assambly held in Sousse, Tunisia, June 2004, International Committee for Animal Recording, Rome, Italy (2005).
12. Juanès X and Lancelot R. “LASER: Software to help monitor ruminan farms”. Montpellier, France: CIRAD.
13. The Cluster. “Traceability of meat in slaughterhouses” (2013).
14. Laser monitoring. “Monitoring of ruminants from the Zotechnical and Fodder Research Station of Kianjasoa by the LASER Method (Ruminant Breeding Monitoring Assistance Software), ECLIPS Project, ARChE Net network, CIRAD. (On technical support and electronic identification equipment of the MAG 5.024 - IAEA project) Video (2017).
15. Agriculture of the South and the WTO. “From the Lomé Convention to the Cotonou Agreement (2000).
16. Lesnoff M., et al. “Calculation of population rates in tropical domestic ruminant herds: a discreet time approach. Digital book published by Editions Quae, Montpellier (2007): 72.
17. MAEP UPDR - OCEAN CONSULTAN. “Beef cattlesector, Agriculture, Livestock and Fisheries sectors, and Actions of the Ministry of Agriculture”. Lifting and Fisheries (2004): 3-14.
18. McKean JD. Revue scientifique et technique (International Office of Epizootics) 20 (2001): 363-371.
19. Pinna W., et al. “The European Commission”. Small Ruminant Research (2005).
20. Poivey JP., et al. “Purposes and methodological aspect of a computerized system for the individual monitoring of animals in village cattle farms in northern Côte d'Ivoire”. Revue d'Elevage et de Medecine Veterinaire 34 (1981): 199-210.
21. “National report on the state of animal genetic resources”. Madagascar; The state of the world's animal genetic resources (2009).
22. Razafinarivo TD., et al. “General performance of Malagasy zebu from the Bongolava region” (2018).
23. Razafinarivo TD., et al. “General performances of Malagasy zebu of the Bongolava region”. Poster (2018).
24. Razafinarivo TD., et al. “Determination of parameters affecting the retention rate of the electronic bolus for the geo-location of cattle in Madagascar”. Ministry of Agriculture, Livestock and Fisheries (2020).
25. EU Rural Review. “The quality of agricultural products: a key factor for the success of EU rural areas, European Network and Rural Development Policy Monitoring, Directorate-General for Agriculture and Rural Development, European Commission”. Edition (2011): 8.
26. Ribó O “Final report” 3 (2003).
27. SLC-MINEL. “Normative texts governing the livestock sector”. Ministry of Livestock Madagascar (2012): 192.
28. Caja G. “The European Commission” (1989).
29. 4 (2020): 97-100.

Citation

Citation: Razafinarivo Tsirinirina Donnah., et al. “Electronic Identification of Cattle: Traceability for Food Safety in Madagascar". Acta Scientific Veterinary Sciences 4.5 (2022): 102-107.

Copyright

Copyright: © 2022 Razafinarivo Tsirinirina Donnah., et al.. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.