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Etlik Piliç Refahının Tespitinde Yeni Nesil Teknolojik Sistemlerin Önemi

Year 2020, Volume: 1 Issue: 2, 47 - 60, 31.12.2020

Abstract

Bu çalışmanın ana amacı, yeni nesil teknolojilerin ve yöntemlerin etlik piliçlerin refah seviyelerini belirlemek için nasıl kullanıldığını belirlemektir. İnceleme için sorulan ilk soru, "Hangi teknolojiler refahla ilgilidir?” İkinci soru ise, bu teknolojik sistemler ile etlik piliçlerin refah düzeyi belirlenebilir mi?" Etlik piliçlerin değerlendirilmesi için kullanılan Refah Kalitesi® protokolü, kullanılan teknolojik sistemlerin analiz edilmesi için bir çerçeve olarak kullanılmıştır. Araştırmada, Web of Science ve Scopus veri tabanlarından elde edilen hakemli makaleler kullanılmıştır. Çalışma sonucunda elde edilen verilere göre, refah kalitesi protokolü içinde yer alan “İyi sağlık” ilkesi, yeni nesil teknolojilerin kullanıldığı çalışmalarda ele alınan ana kriterken, en az gözlemlenen ilke “iyi beslenme” ilkesi olarak tespit edilmiştir. Bu çalışmada aynı zamanda teknolojik sistemlerin kullanımlarına göre (konum, üretim sistemi ve ölçülen değişkenler) değerlendirilmesi gerçekleştirilmiştir. Sonuçlar, yeni nesil teknolojilerin ana odak noktasının etlik piliç tesisleri ile ilgili sorunlar olduğunu ortaya koymaktadır. Bununla birlikte piliçlerin serbest dolaştığı sistemlere, mezbahalara ve taşıma sorunlarına daha az dikkat edildiği görülmektedir. Yeni nesil teknolojilerin kullanımı ile elde edilen değerli çıktılar göz önüne alındığında, bu teknolojilerin etlik piliç üretiminde kullanımı, çiftçi adaptasyonunu da dikkate alarak teşvik edilmeye devam edilmelidir.

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Year 2020, Volume: 1 Issue: 2, 47 - 60, 31.12.2020

Abstract

References

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  • Aydin, A., 2017. Development of an early detection system for lameness of broilers using computer vision. Comput. Electron. Agric., 136, 140–146.
  • Aydin, A., 2017. Using 3D vision camera system to automatically assess the level of inactivity in broiler chickens. Comput. Electron. Agric., 135, 4–10.
  • Aydin, A., 2016. Berckmans, D. Using sound technology to automatically detect the short‐term feeding behaviours of broiler chickens. Comput. Electron. Agric., 121, 25–31.
  • Aydin, A. Bahr, C. Berckmans, D., 2013. An innovative monitoring system to measure the feed intake of broiler chickens using pecking sounds. 6th European Conference on Precision Livestock Farming, ECPLF 2013, Leuven, Belgium, 10–12 September, 926–936.
  • Aydin, A., Bahr, C., Berckmans, D., 2015. Automatic classification of measures of lying to assess the lameness of broilers. Anim. Welf., 24, 335–343.
  • Blokhuis, H.J., Veissier, I., Miele, M., Jones, B., 2010. The Welfare Quality ® project and beyond: Safeguarding farm animal well‐being. Acta Agric. Scand Sect. A, 60, 129–140.
  • Bright, A., 2008. Vocalisations and acoustic parameters of flock noise from feather pecking and non‐feather pecking laying flocks. Br. Poult. Sci., 49, 241–249.
  • Broom, D.M.; Molento, C.F.M. Bem estar animal: conceito e questões relacionadas ‐ revisão. Arch. Vet. Sci. 2004, 9, 1–11. Broom, D.M., 2010. Animal Welfare: An Aspect of Care, Sustainability, and Food Quality Required by the Public. J. Vet. Med. Educ., 37, 83–88.
  • Calvet, S., Carlos Campelo, J., Estelles, F., Perles, A., Mercado, R., Jose Serrano, J., 2014. Suitability Evaluation of Multipoint Simultaneous CO2 Sampling Wireless Sensors for Livestock Buildings. Sensors, 14, 10479– 10496.
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  • Cavusoglu, E., Petek, M., 2019. Effects of different floor materials on the welfare and behaviour of slow‐ and fast-growing broilers. Arch. Anim. Breed., 62, 335–344.
  • Clark, B., Stewart, G.B., Panzone, L.A., Kyriazakis, I., Frewer, L.J., 2016. A Systematic Review of Public Attitudes, Perceptions and Behaviours Towards Production Diseases Associated with Farm Animal Welfare. J. Agric. Environ. Ethics, 29, 455–478.
  • Coenen, A.M.L., Lankhaar, J., Lowe, J.C., McKeegan, D.E.F., 2009. Remote monitoring of electroencephalogram electrocardiogram, and behavior during controlled atmosphere stunning in broilers: Implications for welfare. Poult. Sci., 88, 10–19.
  • Cordeiro, M.B., Tinnco, I.F.F., Mesquita Filho, R.M., Sousa, F.C., 2011. Digital image analysis for young chicken’s behavior evaluation. Eng. Agric., 31, 418–426.
  • Costa, L. Pereira, D. Bueno, L., Pandorfi, H., 2012. Some aspects of chicken behavior and welfare. Rev. Bras. Ciência Avícola, 14, 159–164.
  • Curi, T.M.C., Conti, D., Vercellino, R.A., Massari, J.M., Moura, D.J., Souza, Z.M., Montanari, R., 2017. Positioning of sensors for control of ventilation systems in broiler houses: a case study. Sci. Agric., 74, 101–109.
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  • Demmers, T.G.M., Cao, Y., Gauss, S., Lowe, J.C., Parsons, D.J., Wathes, C.M., 2018. Neural predictive control of broiler chicken and pig growth. Biosyst. Eng., 173, 134–142.
  • De Jong, I.C., Hindle, V.A., Butterworth, A., Engel, B., Ferrari, P., Gunnink, H., Moya, T.P., Tuyttens, F.A.M., Reenen, C.G., 2015. Simplifying the Welfare Quality ® assessment protocol for broiler chicken welfare. Animal, 10, 117–127.
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  • Fontana, I., Tullo, E., Scrase, A., Butterworth, A., 2016. Vocalisation sound pattern identification in young broiler chickens. Animal, 10, 1567–1574.
  • Fontana, I., Tullo, E., Butterworth, A., Guarino, M., 2015. An innovative approach to predict the growth in intensive poultry farming. Comput. Electron. Agric., 119, 178–183.
  • Fraser, D., 2014. The globalisation of farm animal welfare. Rev. sci. tech., 33, 33–38.
  • Giloh, M., Shinder, D., Yahav, S., 2012. Skin surface temperature of broiler chickens is correlated to body core temperature and is indicative of their thermoregulatory status. Poult. Sci., 91, 175–188.
  • Goldberg, A.M., 2016. Farm Animal Welfare and Human Health. Curr. Environ. Heal., 3, 313–321.
  • Gocsik, É., Brooshooft, S.D., de Jong, I.C., Saatkamp, H.W., 2016. Cost‐efficiency of animal welfare in broiler production systems: A pilot study using the Welfare Quality® assessment protocol. Agric. Syst., 146, 55–69.
  • Hindle, V.A., Lambooij, E., Reimert, H.G.M., Workel, L.D., Gerritzen, M.A., 2010. Animal welfare concerns during the use of the water bath for stunning broilers, hens, and ducks. Poult. Sci., 89, 401–412.
  • Honorato, L.A., Hötzel, M.J., Gomes, C.C.M., Silveira, I.D.B., Machado Filho, L.C.P., 2012. Particularidades relevantes da interação humano‐animal para o bem‐estar e produtividade de vacas leiteiras. Ciência Rural, 42, 332–339.
  • Jukan, A., Masip‐Bruin, X., Amla, N., 2017. Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review. ACM Comput. Surv., 50, 1–27.
  • Kashiha, M., Pluk, A., Bahr, C., Vranken, E., Berckmans, D., 2013. Development of an early warning system for a broiler house using computer vision. Biosyst. Eng., 116, 36–45.
  • Kaukonen, E., Norring, M., Valros, A., 2016. Effect of litter quality on foot pad dermatitis, hock burns and breast blisters in broiler breeders during the production period. Avian Pathol., 45, 667–673.
  • Kittelsen, K.E., Moe, R.O., Hoel, K., Kolbjørnsen, Ø., Nafstad, O., Granquist, E.G., 2017. Comparison of flock characteristics, journey duration and pathology between fl ocks with a normal and a high percentage of broilers ‘dead‐on‐arrival’ at abattoirs. Animal, 11, 2301–2308.
  • Kristensen, H.H., Cornou, C., 2011. Automatic detection of deviations in activity levels in groups of broiler chickens ‐ A pilot study. Biosyst. Eng., 109, 369–376.
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There are 71 citations in total.

Details

Primary Language Turkish
Subjects Horticultural Production
Journal Section Reviews
Authors

Arda Aydın 0000-0001-9670-5061

Publication Date December 31, 2020
Published in Issue Year 2020 Volume: 1 Issue: 2

Cite

APA Aydın, A. (2020). Etlik Piliç Refahının Tespitinde Yeni Nesil Teknolojik Sistemlerin Önemi. Lapseki Meslek Yüksekokulu Uygulamalı Araştırmalar Dergisi, 1(2), 47-60.

Lapseki MYO Uygulamalı Araştırmalar Dergisi ücretsizdir. Yayınlanacak makaleler için herhangi bir ücret talep edilmez