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ORIGINAL PAPER
Development of prediction equations to estimate carcass tissue
composition in growing New Zealand White rabbits
by shoulder and neck dissection
1
Tecnológico Nacional de México Instituto Tecnológico de Conkal, División de Estudios de Posgrado e Investigación,
Conkal, 97345,Yucatán, México
2
Universidad Autónoma del Estado de Hidalgo, Instituto de Ciencias Agropecuarias,
Tulancingo de Bravo, 43600, Hidalgo, México
3
University of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary and Animal Sciences,
Grønnegårdsvej 3, DK-1870 Frederiksberg C, Denmark
4
Universidad Juarez Autonoma de Tabasco, División Académica de Ciencias Agropecuarias,
Villahermosa, 86280, Tabasco, Mexico
Publication date: 2022-07-13
J. Anim. Feed Sci. 2022;31(3):276-282
KEYWORDS
TOPICS
ABSTRACT
The objective of this study was to determine the tissue composition
of the carcass of growing New Zealand White rabbits based on the shoulder and
neck traits (weight, meat and bone weights). Live weight and characteristics
of dissected meat and bone tissues (neck, breast, rib, loin, shoulder, and leg)
of 80 rabbits were recorded. Total carcass tissue weights (carcass fat weight,
carcass meat weight – CMW, and carcass bone weight – CBW) were calculated
and correlation and regression analyses were implemented. Shoulder, neck,
shoulder meat, bone and neck meat were correlated (P < 0.0001 and < 0.001)
with CMW and CBW. In conclusion, cut weights and tissue content of the
shoulder and neck provided good predictions for total meat and bone weights of
growing New Zealand White rabbits.
ACKNOWLEDGEMENTS
For the participation and support of IT-Conkal
undergraduate and doctoral students (Milene
Franco, Alvaro Traconis, Darwin Arcos, Guadalupe
Gonzalez, Gabriel Olvera and Adriana Sánchez).
A was supported by the National Council of Science
and Technology of Mexico (CONACYT) through
a grant awarded to the first author.
CONFLICT OF INTEREST
The Authors declare that there is no conflict of
interest.
METADATA IN OTHER LANGUAGES:
Chinese
通过肩颈解剖对新西兰大白兔胴体组成的评价及预测方程
的建立
摘要: 本研究的目的是根据肩颈解剖性状（重量、肉重和骨重）来确定生长中的新西兰大白兔的胴体组成。
试验记录了80只兔的活重及肌肉和骨骼组织、颈、胸、肋骨、腰、肩、腿）的解剖性状，计算胴体组织总
重量（胴体脂肪重 (Carcass fat weight) CFW、胴体肉重 (Carcass meat weight) CMW、胴体骨重 (Carcass bone weight， CB)，并进行相关和回归分析。结果显示，肩重 (Shoulder、SW)、颈重 (Neck，NW) 、肩肉重 (Shoulder meat，SM)、肩骨重 (Shoulder bone SB) 和颈肉重 (Neck meat，NM) 与胴体肉重 (P < 0.0001) 和胴体骨重 (P < 0.001) 呈
显著正相关。综上所述，肩部和颈部的重量和组织含量可以很好地预测新西兰白兔的总肉重和骨重。
REFERENCES (30)
1.
Banerjee S., 2011. Comparative studies between some regression methods to predict carcass cuts in soviet chinchilla bucks reared in Eastern India. World Appl. Sci. J. 14, 951–954
2.
Bautista J.H., López J.L.A., Ortiz A.P., 2015. Carcass yield, meat color and muscle pH evolution in rabbits. Nacameh 9, 66–76 https://doi.org/10.24275/uam/i...
3.
Blasco A., Estany J., Baselga M., 1984. Prediction of rabbit meat and bone weight using carcass measurements and sample cuts. Ann. Zootech. 33, 161–170, https://doi.org/10.1051/animre...
4.
Cardinali R., Cullere M., Dal Bosco A., Mugnai C., Ruggeri S., Mattioli S., Castellini C., Trabalza Marinucci M., Dalle Zotte A., 2015. Oregano, rosemary and vitamin E dietary supplementation in growing rabbits: Effect on growth performance, carcass traits, bone development and meat chemical composition. Livest. Sci. 175, 83–89, https://doi.org/10.1016/j.livs...
5.
Cesari V., Zucali M., Bava L., Gislon G., Tamburini A., Toschi I., 2018. Environmental impact of rabbit meat: the effect of production efficiency. Meat Sci. 145, 447–454, https://doi.org/10.1016/j.meat...
6.
Dalle Zotte A., 2014. Rabbit farming for meat purposes. Anim. Front. 4, 62–67, https://doi.org/10.2527/af.201...
7.
Dalle Zotte A., Cullere M., 2019. Carcass traits and meat quality of rabbit, hare, guinea pig and capybara. In: J.M. Lorenzo, P.E.S. Munekata, F.J. Barba, F. Toldra (Editors). More than beef, pork and chicken - the production, processing, and quality traits of other sources of meat for human diet. Springer, Cham (Switzerland), pp.167–210, https://doi.org/10.1007/978-3-...
8.
Dalle Zotte A., Paci G., 2014. Rabbit growth performance, carcass traits and hind leg bone characteristics as affected by the sire breed, season, parity order and sex in an organic production system. Anim. Sci. Pap. Rep. 32, 143–159
9.
Deltoro J., Lopez A.M., 1985. Allometric changes during growth in rabbits. J. Agr. Sci. 105, 339–346, https://doi.org/10.1017/S00218...
10.
Dimitrova I., Bozhilova-Sakova M., Velikov K., 2015. Comparative study of some production traits in vesselina, New Zealand White and Californian rabbits breeds. Bulg. J. Agric. Sci. 6, 1285–1288
11.
García E., 1981. Modifications to the Köppen climate classification system. To adapt it to the conditions of the Mexican Republic. Instituto de Geografía, Universidad Nacional Autónoma de México (México), pp. 217
12.
Gouda G.F., 2008. Correlated response in carcass traits when using selection indexes involving marketing body weight and daily gain in New Zealand White rabbits. Egyptian J. Anim. Prod. 1, 45–54, https://doi.org/10.21608/ejap....
13.
Hernández P., Pla M., Blasco A., 1996. Prediction of carcass composition in the rabbit. Meat Sci. 44, 75–83, https://doi.org/10.1016/S0309-...
14.
Hunter J.D., 2021. Matplotlib: a 2D graphics environment. Version = 3.3.2, https://matplotlib.org/
15.
Jaramillo-Villanueva J.L., Vargas-López S., Guerrero-Rodríguez J.D.D., 2015. Behavior of consumers and willingness to pay for quality attributes of organic meat rabbit (in Spanish). Rev. Mex. Cienc. Pecu. 2, 221–232, https://doi.org/10.22319/rmcp....
16.
Martínez-Alvaro M., Blasco A., Hernández P., 2018. Effect of selection for intramuscular fat on the fatty acid composition of rabbit meat. Animal 12, 2002–2008, https://doi.org/10.1017/S17517...
17.
McKinney W., 2021. Data structures for statistical computing in Python. Version = 1.1.3, https://pandas.pydata.org/
18.
Michalik D., Lewczuk A., Wilkiewicz-Wawro E., Brzozowski W., 2006. Prediction of the meat content of the carcass and valuable carcass parts in French lop rabbits using some traits measured in vivo and post mortem. Czech J. Anim. Sci. 51, 406–415, https://doi.org/10.17221/3958-...
19.
Newville M., Stensitzki T., Allen D.B., Ingargiola A., 2021. LMFIT: non-linear least-square minimization and curve-fitting for Python. Version = 1.0.2, https://zenodo.org/record/1181...
20.
NOM-033-SAG/ZOO-2014. Official Mexican Standard. Method of killing domestic and wild animals. Official Diary of the Federation, Mexico City (Mexico).
21.
North M.K., Dalle Zotte A., Hoffman L.C., 2019. Growth, carcass and meat quality traits of two South African meat rabbit breeds. S. Afr. J. Anim. Sci. 49, 815–823, https://doi.org/10.4314/sajas....
22.
North M.K., Nkhabutlane P., Hoffman L.C., 2017. The effect of age on the carcass composition, portion yield and proximate composition of two rabbit genetic types in South Africa. World Rabbit Sci. 3, 281–288, https://doi.org/10.4995/wrs.20...
23.
Ortiz-Hernández J.A., Rubio-Lozano M.S., 2001. Effect of breed and sex on rabbit carcass yield and meat quality. World Rabbit Sci. 9, 51–56, https://doi.org/10.4995/wrs.20...
24.
Pedregosa F., Varoquaux G., Gramfort A., Thirion B., Blondel M., Prettenhofer P., Weiss R., Perrot M., Duchesnay E., 2021. Scikit-Learn: machine learning in Python. Version = 0.23.2,https://scikit-learn.org/
25.
Sánchez-Macías D., Barba-Maggi L., Morales-de la Nuez A., Palmay-Paredes J., 2018. Guinea pig for meat production: a systematic review of factors affecting the production, carcass and meat quality. Meat Sci. 143, 165–176, https://doi.org/10.1016/j.meat...
26.
SENASICA (National Service for Agrifood Health, Safety and Quality), 2021. Health Intelligence System. Current situation of Rabbit Hemorrhagic Disease (RHDV2) in Mexico and USA. https://dj.senasica.gob.mx/Atl...
27.
Shahin K.A., 2001. Sources of shared variability of muscle, fat and bone weight distribution in New Zealand White rabbits. Anim. Res. 50, 165–179, https://doi.org/10.1051/animre...
28.
Sikiru A.B., Alemede I.C., Arangasamy A., Egena S.S.A., Ijaiya A.T., Makinde O.J., 2020. Rabbit: an animal at the nexus of food production and bioscience research for sustainable development in developing countries. Trop. Subtrop. Agroecosystems. 93, 1–8
29.
Unah U.L., Solomon I.P., Ekpo K.O., Eyoh G.G., 2012. Use of prediction models for evaluation of live weight and carcass in New Zealand White rabbits. N. J. A. F. E. 8, 79–85
30.
Zeferino C.P., Komiyama C.M., Fernandes S., Sartori J.R., Teixeira P., Moura A.S.A.M.T., 2013. Carcass and meat quality traits of rabbits under heat stress. Animal 3, 518–523, https://doi.org/10.1017/S17517...
| ISSN: | 1230-1388 |
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