Estimation of Body Weight and Body Surface Area in Swamp Buffaloes using Visual Image Analysis

Chollada Buranakarl; Jintana Indramangala; Kitti Koobkaew; Nikorn Sanghuayphrai; Jureeratn Sanpote; Chularat Tanprasert; Teera Phatrapornnant; Woraporn Sukhumavasi; Petcharat Nampimoon

doi:10.6000/1927-520X.2012.01.01.03

Authors

Chollada Buranakarl Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
Jintana Indramangala Department of Livestock Development, Ministry of Agriculture and Cooperatives, Bangkok, 10400, Thailand
Kitti Koobkaew Department of Livestock Development, Ministry of Agriculture and Cooperatives, Bangkok, 10400, Thailand
Nikorn Sanghuayphrai Department of Livestock Development, Ministry of Agriculture and Cooperatives, Bangkok, 10400, Thailand
Jureeratn Sanpote Department of Livestock Development, Ministry of Agriculture and Cooperatives, Bangkok, 10400, Thailand
Chularat Tanprasert National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Ministry of Science and Technology, Patumthani, 12120, Thailand
Teera Phatrapornnant National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Ministry of Science and Technology, Patumthani, 12120, Thailand
Woraporn Sukhumavasi Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
Petcharat Nampimoon Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand

DOI:

https://doi.org/10.6000/1927-520X.2012.01.01.03

Keywords:

body scanner, Body weight, Body surface area, Swamp buffalo

Abstract

The three dimensional computerized visual image analysis was performed to evaluate the body weight (BW) and body surface area (BSA) in swamp buffaloes. Nineteen swamp buffaloes were measured the conformation by linear measurement compared to 3D body scanner at different points : body height (A), heart girth (B), shoulder width (C), iliac width (D), ischial tuberosity width (E), the length between shoulder and ileac wing (F, G), the length between ileal wing to ischial tuberosity (H, I) and the length between shoulder to ischial tuberosity (J1, J2). The significant correlation was found between these two methods. The 3D body scanner was then performed in 28 males and 39 females for BW and 68 males and 74 non-pregnant and 31 pregnant females for BSA estimation. The appropriate models to estimate BW in buffaloes were BW = - 1174.07 + 4.31 (B) + 7.75 (FG) (R² = 0.76, P<0.001), BW (male) = -1265.99 + 4.94(B) + 14.41(D) (R² = 0.81; P<0.001) and BW (female) = -563.66 + 7.94 (C) + 14.77 (E) (R² = 0.86; P<0.001). For BSA, the appropriate equations were BSA = -4.31 + 0.034(A) + 0.036 (J1J2) (R² = 0.82, P<0.001), BSA (male) = -4.01 + 0.032 (A) + 0.037 (J1J2) (R² = 0.816, P<0.001) and BSA (female) = -3.50 + 0.013(A) + 0.012 (B) + 0.040 (E) + 0.015 (J1J2) (R² = 0.916, P<0.001). In conclusion, the 3D body scanner can be used to estimate BW and BSA in buffaloes with different models among males and females.

References

Department of Livestock Development, PhyaThai Rd., Bangkok, Thailand, Annual report 2551. http://www.dld.go.th.

Negretti P, Bianconi G, Bartocci S, Terramoccia S, Verna M. Determination of live weight and body condition score in lactating Mediteranean buffaloes by visual image analysis. Livest Sci 2008; 113: 1-7. http://dx.doi.org/10.1016/j.livsci.2007.05.018 DOI: https://doi.org/10.1016/j.livsci.2007.05.018

Jain R, Kasturi R, Schunck BG. Eds. Machine Vision. MIT Press and McGraw-Hill Inc. 1995: pp. 301-4.

Hartley R, Zisserman A. Eds. Multiple View Geometry in Computer Vision. 2nd Ed. Cambridge University Press 2003: pp. 310-3. DOI: https://doi.org/10.1017/CBO9780511811685

Ziegel J, Kiderlen M. Estimation of surface area and surface area measure of three-dimentional sets from digitization. Image Vision Comput 2010; 28: 64-77. http://dx.doi.org/10.1016/j.imavis.2009.04.013 DOI: https://doi.org/10.1016/j.imavis.2009.04.013

Negretti P, Bianconi G, Bartocci S, Terramoccia S. Lateral trunk surface as a new parameter to estimate live body weight by visual image analysis. Ital J Anim Sci 2007a; 6(Suppl. 2): 1223-5. DOI: https://doi.org/10.4081/ijas.2007.s2.1223

Tasdemir S, Yakar M, Urkmez A. Inal S. Determination of body measurements of a cow by image analysis. In: Proceedings of the 9th International conference on computer systems and technologies 2008: V.8-1 till V.8-7. DOI: https://doi.org/10.1145/1500879.1500956

Chantalakhana C, Bunyavejchewin P, Faarungsarng S, Kamnerdpetch V. Estimates of heritability and relationship of body weight, gains and measurements of swamp buffalo. Annual Report. The Naional Buffaloes Research and Development Center Project. Bangkok, Thailand 1983.

Kongsuk S, Faree S, Sanghuayphrai N. Weight prediction equations from body measurements of Thai swamp buffaloes in village. Annual Report on Animal Production Research, Animal Breeding and Farm Management. Department of livestock development, Ministry of agriculture and cooperation 2001; pp. 136-44.

Ratanaronachat S. Live and carcass traits and their relationship in Thai cattle and buffalo. Master thesis,. Kasetsart University, Bangkok, Thailand 1974.

Sanghuayphrai N, Kanchanapongkit K, Na Chiangmai A. Prediction equation of 2-4 yearling weight of swamp buffaloes. Annual Report on Animal Production Research, Animal Breeding and Farm Management. Department of livestock development, Ministry of agriculture and cooperation 2003; pp. 244-9.

Jintana R, Suthikrai W, Hengtakulsin R, Sophon S, Usawang S, Kamonpatana M. Relationship between heart girth and body weight of weaned swamp buffalo and Murrha X swamp buffaloes calves. In: Enhancement of Reproductive Efficacy and Production of Livestock in Thailand, Chiangmai, Thailand 2006; pp. 1-7.

Imwattana S, Vudhipanee P. Estimates of genetic parameters for growth and body measurements of swamp buffalo using animal model. Annual Report on Animal Production Research, Animal Breeding and Farm Management. Department of livestock development, Ministry of agriculture and cooperation 2001; pp.104-115.

Du Bois D, Du Bois EF. The measurement of the surface area of man. In: Archives of Internal Medicine, Clinical Calorimetry. fifth paper 1915; pp. 868-81. DOI: https://doi.org/10.1001/archinte.1915.00070240077005

Brody S, Comfort JE, Matthews JS. Further investigations on surface area with special reference to its significance in energy metabolism. Mo Aes Res Bull 1928; 115: 1-60.

Vaughan JA, Adams T. Surface area of the cat. J Appl Physiol 1967; 22(5): 956-8. DOI: https://doi.org/10.1152/jappl.1967.22.5.956

Negretti P, Bianconi G, Finzi A. Visual image analysis to estimate morphological and weight measurements in rabbits. World Rabbit Sci 2007b; 15: 37-41. DOI: https://doi.org/10.4995/wrs.2007.606

Yu C-Y, Lin C-H, Yang Y-H. Human body surface area database and estimation formula. Burns 2010; 36: 616-29. http://dx.doi.org/10.1016/j.burns.2009.05.013 DOI: https://doi.org/10.1016/j.burns.2009.05.013

Kelly KW, Curtis SE, Marzan GT, Karara, HM, Anderson CR. Body surface area of female swine. J Anim Sci 1973; 36: 927-30. DOI: https://doi.org/10.2527/jas1973.365927x