축산식품과학과 산업

  • 제11권1호
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  • Pages.32-38
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  • 2022
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  • 2287-3686(pISSN)
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  • 2635-4594(eISSN)
한국축산식품학회 (Korean Society for Food Science of Animal Resources)
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양돈산업의 연구동향 및 미래 발전방향

Trends in Research and Future Direction of Development in Swine Industry

  • 조규호 (농촌진흥청 국립축산과학원)
  • Cho, Kyuho (National Institute of Animal Science, Rural Development Administration)
  • 발행 : 2022.05.19
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참고문헌

  1. Aarnink, AJA, Verstegen MWA. 2007. Nutrition, key factor to reduce environmental load from pig production. Livestock Science 109.1(3): 194-203. https://doi.org/10.1016/j.livsci.2007.01.112
  2. Ahire JB. 2018. The artificial neural networks handbook: Part 1 2018.
  3. Azarpajouh S, Colpoys J, Dekkers J, Gabler N, Huff-Lonergan E, Lonergan S, Patience J, Johnson AK. 2017. How Has Selection for Residual Feed Intake (RFI) Affected Nursery And Finisher Pig's Feeding Behavior and Performance. US Pork Center of Excellence: Clive, IA, USA.
  4. Ding QA, Chen J, Shen MX, Liu LS. 2022. Activity detection of suckling piglets based on motion area analysis using frame differences in combination with convolution neural network. Computers and Electronics in Agriculture 194: 106741.
  5. D'Eath RB, Jack M, Futro A, Talbot D, Zhu Q, Barclay D, Baxter EM. 2018. Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak. PloS One 13(4): e0194524.
  6. EUR-Lex, European Council Directive 2001/88/EC of 23 October 2001 Amending Directive 91/630/EEC, Laying Down Minimum Standards for the Protection of Pigs, Official Journal, EUR-Lex, EU, pp.36-38.
  7. Godinho RM, Bergsma R, Silva FF, Sevillano CA, Knol EF, Lopes MS, Lopes PS, Bastiaansen JWM, Guimaraes SE. 2018. Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs. Journal of Animal Science 96(3): 817-829. https://doi.org/10.1093/jas/skx011
  8. Han IK, Lee JH, Piao XS, Li D. 2001. Feeding and management system to reduce environmental pollution in swine production-review. Asian-Australasian Journal of Animal Sciences 14(3): 432-444. https://doi.org/10.5713/ajas.2001.432
  9. Hoste R, Suh H, Kortstee H. 2017. Smart farming in pig production and greenhouse horticulture: An inventory in the Netherlands (No. 2017-097). Wageningen Economic Research.
  10. Kauffold J, Peltoniemi O, Wehrend A, Althouse GC. 2019. Principles and clinical uses of real-time ultrasonography in female swine reproduction. Animals 9(11): 950.
  11. Lee JH, Lee DH, Yun W, Oh HJ, An JS, Kim YG, Kim GM, Cho JH. 2019. Quantifiable and feasible estrus detection using the ultrasonic sensor array and digital infrared thermography. Journal of Animal Science and Technology 61(3): 163.
  12. Lei K, Zong C, Du X, Teng G, Feng F. 2021. Oestrus analysis of sows based on bionic boars and machine vision technology. Animals 11(6): 1485.
  13. Min Y, Choi Y, Kim J, Kim D, Jeong Y, Kim Y, Jeong Y, Kim Y, Song M, Jung H. 2020. Comparison of the productivity of primiparous sows housed in individual stalls and group housing systems. Animals 10(11): 1940.
  14. Min Y, Kim J, Kim D, Jeong Y, Cho E, Sa S, Jung H, Jin H, Choi Y. 2021. Effects of different gestation housing systems on lameness, skin injuries, and blood constituents in primiparous sows. Journal of the Korea Academia- Industrial Cooperation Society 22(9): 308-314.
  15. Nannucci L, Barattini P, Bossis I, Wozniakowski G, Balka G, Pugliese C. 2020. Point-of-service diagnostic technology for detection of swine viral diseases. Journal of Veterinary Research 64(1): 15-23. https://doi.org/10.2478/jvetres-2020-0016
  16. Okayama T, Kubota Y, Toyoda A, Kohari D, Noguchi G. 2021. Estimating body weight of pigs from posture analysis using a depth camera. Animal Science Journal 92(1): e13626.
  17. Paixao G, Martins A, Esteves A, Payan-Carreira R, Carolino N. 2019. Genetic parameters for reproductive, longevity and lifetime production traits in Bisaro pigs. Livest Sci 225: 129-134. https://doi.org/10.1016/j.livsci.2019.05.010
  18. Pan X, Zhu J, Tai W, Fu Y. 2021. An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks. Computers and Electronics in Agriculture 183: 105987.
  19. Parois SP, Prunier A, Mercat MJ, Merlot E, Larzul C. 2015. Genetic relationships between measures of sexual development, boar taint, health, and aggressiveness in pigs1. J Anim Sci 93: 3749-3758. https://doi.org/10.2527/jas.2014-8290
  20. Peltoniemi O, Han T, Yun J. 2021. Coping with large litters: Management effects on welfare and nursing capacity of the sow. Journal of Animal Science and Technology 63(2): 199.
  21. Perez-Enciso M, Zingaretti LM. 2019. A guide on deep learning for complex trait genomic prediction. Genes 10(7): 553.
  22. Soleimani T, Helene G. 2020. Evaluating environmental impacts of selection for residual feed intake in pigs. Animal. 14(12): 2598-2608. https://doi.org/10.1017/S175173112000138X
  23. Wang H, Long W, Chadwick D, Velthof GL, Oenema O, Ma W, Wang J, Qin W, Hou Y, Zhang F. 2020. Can dietary manipulations improve the productivity of pigs with lower environmental and economic cost? A global meta-analysis. Agriculture, Ecosystems & Environment 289: 106748.
  24. Zhang J, Liu M, Ke S, Huang X, Fang S, He M, Fu H, Chen C, Huang L. 2021. Gut and vagina microbiota associated with estrus return of weaning sows and its correlation with the changes in serum metabolites. Frontiers in Microbiology, 12.
  25. 농림축산식품부. 2021. 농림축산식품 주요통계. 발간번호: 11-1543000-000128-10.
  26. 법제처(국가법령정보센터). 2021. 축산법시행령. 축산업의 허가 및 등록요건(제14조 제2항 및 제14조의 제2항 관련)