Alternative methods to animal experimentation in rabbit nutrition trials integrating the 3Rs principles
Submitted: 2024-08-28
|Accepted: 2024-10-30
|Published: 2025-03-31
Copyright (c) 2025 María Cambra-López, Javier García, Juan José Pascual, Nuria Nicodemus

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Downloads
Keywords:
rabbit nutrition, animal research, replacement, reduction, refinement
Supporting agencies:
Abstract:
Animal studies are essential to nutrition research, particularly in investigating the effects of dietary changes on animal growth, reproduction, health and metabolism. These studies provide quantitative data on feedstuffs’ nutritive value and animal response to diets, indispensable for building accurate nutrient databases and defining animal nutrient requirements, respectively. However, advancements in (bio)technologies have encouraged the development of non-animal alternatives in rabbit nutrition research. Moreover, Europe’s commitment to replacing animals for scientific purposes emphasises the need to regulate and harmonise animal experimentation according to the principles of the 3Rs (Replacement, Reduction and Refinement). While animal methods remain necessary in some cases, attention must be paid to their reliability and validity, alongside the adoption of alternative methods. Alternative approaches in rabbit nutrition include prediction equations to estimate the nutritional value of feedstuffs based on their chemical composition, in vitro models to simulate the digestibility and fermentability of diets and feedstuffs, and the use of near-infrared spectroscopy (NIRS) to calculate feed composition and nutritive value. Other non-animal-based approaches using mathematical modelling and cell/tissue/organ culture models are also rapidly evolving to test animal responses to dietary changes. Reduction can be achieved through extensive literature searches, careful experimental design, statistical methods and data sharing to avoid unnecessary duplication of experiments. Refinement includes appropriate housing, care and enrichment to minimise the suffering of animals used in research. Additionally, integrating precision livestock farming technology into research practices and omics tools through non-invasive procedures can also contribute to refining rabbit trials. The aim of this work was to critically review these approaches following Replacement, Reduction and Refinement principles for rabbit nutrition. We first examine already existing possibilities and practical methods and later discuss their adequacy. Recommendations for designing rabbit nutrition trials and further research needs, opportunities and challenges for the use of alternative methods that pursue any of the 3Rs will also be reviewed in the light of rabbit nutrition trials.
References:
Abad R., Ibañez M.A., Carabaño R., García J. 2013. Quantification of soluble fibre in feedstuffs for rabbits and evaluation of the interference between the determinations of soluble fibre and intestinal mucin. Anim. Feed Sci. Technol., 182: 61-70. https://doi.org/10.1016/j.anifeedsci.2013.04.001
Abad-Guamán R., Carabaño R., Gómez-Conde M.S., García J. 2015. Effect of type of fiber, site of fermentation, and method of analysis on digestibility of soluble and insoluble fiber in rabbits. J. Anim. Sci., 93: 2860-2871. https://doi.org/10.2527/jas.2014-8767
Abad-Guamán R., Larrea-Dávalos J.A., Carabaño R., García J., Carro M.D. 2018. Influence of inoculum type (ileal, caecal and faecal) on the in vitro fermentation of different sources of carbohydrates in rabbits. World Rabbit Sci., 26: 227-240. https://doi.org/10.4995/wrs.2018.9726
Abad-Guamán R., Delgado R., Carabaño R., García J. 2024. In vitro NDF digestibility as a predictor of in vivo ileal and faecal NDF digestibility in rabbits. In Proc.: 13th World Rabbit Congress, 2-4th October, 2024, Tarragona, Spain.
Al-Soufi S., Nicodemus N., Carro M.D., López-Alonso M., Miranda M., Muíños A., Cegarra E., Vázquez-Belda B., Domínguez H., Torres M.D., Flórez-Fernández N., García J. 2023. Marine macroalgae in rabbit nutrition: in vitro digestibility, caecal fermentability, and microbial inhibitory activity of seven macroalgae species from Galicia (NW Spain). Agriculture, 13: 1995. https://doi.org/10.3390/agriculture13101995
Baron R., Vezinhet A., Cantier J. 1979. Allométrie de croisement chez le lapin. Ann. Biol. Anim. Bioch. Biophys., 10: 535-538. https://doi.org/10.1051/rnd:19700401
Ben Larbi M., Tircazes A., Feve K., Tudela F., Bolet G. 2012. Reliability of non-invasive tissue sampling methods for DNA extraction in rabbits (Oryctolagus cuniculus). World Rabbit Sci., 20: 117-124. https://doi.org/10.4995/wrs.2012.1077
Blas E., Falcão-e-Cunha L., Gidenne T., Pinheiro V., García A.I., Carabaño R. 2000a. Measurement of ileal digestibility in rabbits: an interlaboratory study to compare two markers and two frequencies of digesta collections. In Proc.: 7th World Rabbit Congress, 4-7 July 2000, Valencia , Spain 131-137.
Blas E., Falcão-e-Cunha L., Gidenne T., Scapinello C., Pinheiro V., García A.I., Carabaño R. 2003. Interlaboratory study on ileal digestibility in rabbits: the effect of digesta collection time and a simplification of the procedure. World Rabbit Sci., 11: 101-111. https://doi.org/10.4995/wrs.2003.501
Blas E., Fernández-Carmona J., Cervera C., Pascual J.J. 2000b. Nutritive value of coarse and fine wheat brans for rabbits. Anim. Feed Sci. Technol., 88: 239-251. https://doi.org/10.1016/S0377-8401(00)00212-1
Blasco A., Gómez E. 1993. A note of growth curves of rabbit lines selected on growth rate or litter size. Anim. Prod., 57: 332-334. https://doi.org/10.1017/S000335610000698X
Blasco A., Ouhayoun J. 1996. Harmonization of criteria and terminology in rabbit meat research. Revised proposal. World Rabbit Sci., 4: 93-99. https://doi.org/10.4995/wrs.1996.278
Blasco A., Piles M., Varona L. 2003. A Bayesian analysis of the effect of selection for growth rate on growth curves in rabbits. Genet. Sel. Evol., 35: 21-41. https://doi.org/10.1051/gse:2002034
Bastianelli D., Bonnal L., Jaguelin-Peyraud Y., Noblet J. 2015. Predicting feed digestibility from NIRS analysis of pig faeces. Animal, 9: 781-786. https://doi.org/10.1017/S1751731114003097
Beaumont M., Paës C., Mussard E., Knudsen C., Cauquil L., Aymard P., Barilly C., Gabinaud B., Zemb O., Fourre S., Gautier R., Lencina C., Eutamène H., Theodorou V., Canlet C., Combes S. 2020. Gut microbiota derived metabolites contribute to intestinal barrier maturation at the sucklingto-weaning transition. Gut Microbes, 11: 1268-1286. https://doi.org/10.1080/19490976.2020.1747335
Boisen S. 1991. A model for feed evaluation based on in vitro digestible dry matter and protein. In: Fuller M.F. (ed.) In vitro digestion for pigs and poultry. C.A.B. Int., Wallingford U.K., 135-145.
Boissy A., Manteuffel G., Jensen M.B., Moe R.O., Spruijt B., Keeling L.J., Winckler C., Forkman B., Dimitrov I., Langbein J., Bakken M., Veissier I., Aubert A. 2007. Assessment of positive emotions in animals to improve their welfare. Physiol Behav., 92: 375-97. https://doi.org/10.1016/j.physbeh.2007.02.003
Bovera F., D’Urso S., Di Meo C., Piccolo G., Calabro S., Nizza A. 2006. Comparison of rabbit caecal content and rabbit hard faeces as source of inoculum for the in vitro gas production technique. Asian Austral. J. Anim. Sci., 19: 1649-1657. https://doi.org/10.5713/ajas.2006.1649
Brodkorb A., Egger L., Alminger M., Alvito P., Assunçao R., Balance S., bohn T., Bourlieu-Lacanal C., Boutrou R., Carriere F., Clemente A., Corredig M., Dupont D., Dufour C., Edwards C., Golding M., Karakaya S., Kirkhus B., L Feunteun S., Lesmes U., Macierzanka A., Mackie A., Martins C., Marze S., McClements D.J., Menard O., Minekus M., Portmann R., Santos C.N., Souchon I., Singh R.P., Vegrarud G.E., Wickham
M., Weitschies W., Recio I. 2019. INFOGEST static in vitro simulation of gastrointestinal food digestion. Nat. Protoc., 14: 991-1014. https://doi.org/10.1038/s41596-018-0119-1
Calabrò S., Nizza A., Pinna W., Cutrignelli M.I., Piccolo V. 1999. Estimation of digestibility of compound diets for rabbits using the in vitro gas production technique. World Rabbit Sci., 7: 197-201. https://doi.org/10.4995/wrs.1999.401
Cambra-López M. 2023. Precision livestock farming in cage-free rabbit rearing. In Proc.: XXXVII Symposium de Cunicultura, 28-35.
Cambra-López M., Blas E., Marín-García P., Zemzmi J., Ródenas L., Martínez-Paredes E., López M.C., Ramón-Moragues A., Zhao Y., Remus A., Pascual J.J. 2023. Cómo puede contribuir la ganadería de precisión a la transición hacia el alojamiento sin jaulas de la cunicultura. In: XX Jornadas sobre Producción Animal de AIDA, AIDA-ITEA, 269.
Carabaño R., Garcia A.I., Blas E., Falcao L., Gidenne T., Pinheiro V. 2000. Collaborative studies on caecotrophy in adult rabbits: effect of feed intake and methodology. In Proc.: 7th World Rabbit Congress, 4-7, July, 2000, Valencia, Spain. Vol. C, 153-159. Available at http://world-rabbit-science.com/WRSA-Proceedings/Congress-2000-Valencia/Papers/Nutrition&%20Digestion/N14-Carabano.pdf.
Carabaño R., García J., de Blas J.C. 2001. Effect of fibre source on ileal apparent digestibility of non-starch polysaccharides in rabbits. Anim. Sci., 72: 343-350. https://doi.org/10.1017/S1357729800055843
Carabaño R., Nicodemus N., García J., Xiccato G., Trocino A., Pascual J.J., Falcão-e-Cunha L., Maertens L. 2008. In vitro analysis, an accurate tool to estimate dry matter digestibility in rabbits. Intra- and inter-laboratory variability. World Rabbit Sci., 16: 195-203. https://doi.org/10.4995/wrs.2008.614
Casado C., Piquer O., Cervera C., Pascual J.J. 2006. Modelling the lactation curve of rabbit does: Towards a model including fit suitability and biological interpretation. Livest. Prod. Sci., 99: 39-49. https://doi.org/10.1016/j.livprodsci.2005.05.019
Chen H., Wierenga P.A., Hendriks W.H., Jansman A.J.M. 2019. In vitro protein digestion kinetics of protein sources for pigs. Animal, 13, 6: 1154-1164. https://doi.org/10.1017/S1751731118002811
Cjakravarty B. 2022. The evolving role of the Caenorhabditis elegans model as a tool to advance studies in nutrition and health. Nutrit. Res., 106: 47-59. https://doi.org/10.1016/j.nutres.2022.05.006
de Blas C., Villamide M.J. 1990. Nutritive value of beet and citrus pulps for rabbits. Anim. Feed Sci. Technol., 31: 239-246. https://doi.org/10.1016/0377-8401(90)90128-U
de Blas C., Wiseman J., Fraga M.J., Villamide M.J. 1992. Prediction of the digestible energy and digestibility of gross energy of feeds for rabbits. 2. Mixed diets. Anim. Feed Sci. Technol., 39: 39-59. https://doi.org/10.1016/0377-8401(92)90030-A
de Blas J.C., Taboada E., Mateos G.G., Nicodemus N., Méndez J. 1995. Effect of substitution of starch for fiber and fat in isoenergetic diets on nutrient digestibility and reproductive performance of rabbits. J. Anim. Sci., 73: 1131-1137. https://doi.org/10.2527/1995.7341131x
Delgado R., Abad-Guamán R., Carabaño R., García J., Nicodemus N. 2017. Fat mobilization between second insemination and weaning is positively related to the reproductive success in primiparous does. In Proc.: XLII Symposium de Cunicultura (ASESCU), 56-59.
Deltoro J., López A.M. 1985. Allometric changes during growth in rabbits. J. Agri. Sci., 105: 339-346. https://doi.org/10.1017/S0021859600056392
Diederich K., Schmitt K., Schwedhelm P., Bert B., Heinl C. 2022. A guide to open science practices for animal research. PLOS Biology, 20: e3001810. https://doi.org/10.1371/journal.pbio.3001810
Duan E.Z., Wang L.J., Wang H.Y., Hao H.Y., Li R.L. 2022. Remaining feed weight estimation model for health monitoring of meat rabbits based on deep convolutional neural network. Int. J. Agric. Biol. Eng., 15: 233-240. https://doi.org/10.25165/j.ijabe.20221501.6797
Edwards M.G. 2014. Meta-Data-Analysis. In: Michalos A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht, Netherlands, 4004-4007. https://doi.org/10.1007/978-94-007-0753-5_3376
EFSA FEEDAP Panel (EFSA Panel on Additives and Products or Substances used in Animal Feed), Bampidis V., Azimonti G., Bastos M.L, Christensen H., Dusemund B., Fasmonv, Durjava M., Kouba M., López-Alonso M., López Puente S., Marcon F., Mayo B., Pechova A., Petkova M., Ramos F., Sanz Y., Villa R.E., Woutersen R., Anguita M., Galobart J., Muñoz Guajardo I., Innocenti M.L. 2021. Guidance on the renewal of the authorisation of feed additives. EFSA J., 19: 6340. https://doi.org/10.2903/j.efsa.2021.6340
EGRAN. 2010. Technical note: Attempts to harmonize chemical analyses of feeds and faeces, for rabbit feed evaluation. World Rabbit Sci., 9: 57-64. https://doi.org/10.4995/wrs.2001.446
European Commission. 2010. Directive 2010/63/EU of the European Parliament and of the Council of 22 September 2010 on the protection of animals used for scientific purposes. Official Journal of the European Union, 53: 33-79.
European Commission, Joint Research Centre (JRC). 2019. EURL ECVAM dataset on alternative methods to animal experimentation (DB-ALM). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/b7597ada-148d-4560-9079-ab0a5539cad3.
Fekete S. 1992. The rabbit body composition: methods of measurement, significance of its knowledge and the obtained results, A critical review. J. Appl. Rabbit Res., 15: 72-85.
Fernández-Carmona J., Cervera C., Blas E. 1996. Prediction of the energy value of rabbit feeds varying widely in fibre content. Anim. Feed Sci. Technol., 64: 61-75. https://doi.org/10.1016/S0377-8401(96)01041-3
Fernández-Carmona J., Blas E., Pascual J.J., Maertens L., Gidenne T., Xiccato G., García J. 2005. Recommendations and guidelines for applied nutrition experiments in rabbits. World Rabbit Sci., 13: 209-228. https://doi.org/10.4995/wrs.2005.516
Föllmann W., Weber S., Birkner S. 2000. Primary cell cultures of bovine colon epithelium: isolation and cell culture of colonocytes. Toxicol. in Vitro., 14: 435-445. https://doi.org/10.1016/S0887-2333(00)00033-3
Fontanesi L., Tazzoli M., Russo V. 2007. Non-invasive and simple methods for sampling rabbit DNA for PCR analysis of melanocortin 1 receptor (MCR) gene mutations: a technical note. World Rabbit Sci., 15: 121-126. https://doi.org/10.4995/wrs.2007.598
Fortun-Lamothe L., Sabater F. 2003. Estimation de la production laitière à partir de la croissance des lapereaux. In Proc.: 10èmes Journées Recherche Cunicole, Paris, ITAVI Ed., Paris, 69-72.
Fortun-Lamothe L., Lamboley-Gaüzère B., Bannelier C. 2002. Prediction Of body composition in rabbit female using total body electrical conductivity (TOBEC). Liv. Prod. Sci., 78: 132-142. https://doi.org/10.1016/S0301-6226(02)00087-8
García J., Pérez-Alba L., Álvarez C., Rocha R., Ramos M., de Blas C. 1995. Prediction of the nutritive value of lucerne hay in diets for growing rabbits. Anim. Feed Sci. Technol., 54: 33-44. https://doi.org/10.1016/0377-8401(94)00759-3
García J., Nicodemus N., Carabaño R., Villamide M.J., de Blas C. 2001. Determination of the number of replicates required to detect a significant difference between two means in rabbit traits. World Rabbit Sci., 9: 27-32. https://doi.org/10.4995/wrs.2001.443
Gerrits W.J.J., Schop M.T.A., de Vries S., Dijkstra J. 2021. ASASNANP symposium: digestion kinetics in pigs: the next step in feed evaluation and a ready-to-use modeling exercise. J. Anim. Sci., 99, 2: 1-8. https://doi.org/10.1093/jas/skab020
Ghiselli F., Rossi B., Piva A., Grilli E. 2021. Assessing intestinal health. in vitro and ex vivo gut barrier models of farm animals: benefits and limitations. Front. Vet. Sci., 8: 723387. https://doi.org/10.3389/fvets.2021.723387
Gidenne T. 1992. Effect of fibre level, particle size and adaptation period on digestibility and rate of passage as measured at the ileum and in the faeces in the adult rabbit. Br. J. Nutr., 67: 133-146. https://doi.org/10.1079/BJN19920015
Gidenne T. 1999. EGRAN: An European group for rabbit nutrition presentation and activity. World Rabbit Scie., 7: 101-106. https://doi.org/10.4995/wrs.1999.387
Gidenne T., Blas E., Carabaño R., Merino J.M. 1994. Effect of ileal cannulation on rabbit digestion and caecotrophy: an interlaboratory study. World Rabbit Sci., 2: 101-106. https://doi.org/10.4995/wrs.1994.224
Giersberg M., Kemper N., Fels M. 2015. Planimetric measurement of floor space covered by fattening rabbits and breeding does in different body positions and weight classes. Livest. Sci., 177: 10. https://doi.org/10.1016/j.livsci.2015.04.010
Glanville J., Varley D., Brazier H., Arber M., Wood H., Dooley G. 2014. Inventory of sources of scientific evidence relevant to EFSA’s risk assessments and information sessions on literature searching techniques (CFT/EFSA/SAS/2011/03 Inventory Report). EFSA supporting publication 2014: EN-593 73 pp. https://doi.org/10.2903/sp.efsa.2014.EN-593
Gómez-Conde M.S., García J., Villamide M.J., Carabaño R. 2011. Determination of faecal dry matter digestibility two weeks after weaning in twenty five day old weaned rabbits. World Rabbit Sci., 19: 57-62. https://doi.org/10.4995/wrs.2011.816
Gompertz B. 1825. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos. T. Roy. Soc. B., 182: 513-85.
Hawkins P., Hubrecht R., Buckwell A., Cubitt S., Howard B., Jackson A., Poirier G.M. (2008). Refining rabbit care. UK. RSPCA-UFAW.
Hemsworth P.H., Edwards L.E. 2021. Natural behaviours, their drivers and their implications for laying hen welfare. Anim. Prod. Sci., 61: 915-930. https://doi.org/10.1071/AN19630
Hernández P., Pla M., Blasco A. 1996. Prediction of carcass composition in the rabbit. Meat Sci., 44: 75-83. https://doi.org/10.1016/S0309-1740(96)00078-2
Hohlbaum K., Kahnau P., Wilzopolski J., Fischer-Tenhagen C. 2024. Training laboratory rabbits to refine routine husbandry procedures. J. Vis. Exp., 204: e66008. https://doi.org/10.3791/66008
Holley T., Bowe G., Campia I., Belz S., Berggren E., Roi A.J., Wittwehr C., Whelan M. 2016. Accelerating progress in the Replacement, Reduction and Refinement of animal testing through better knowledge sharing. EUR 28234 EN, Publications Office of the European Union, Luxembourg.
Holley T., Bowe G., Campia I., Belz S., Berggren E., Roi A.J., Wittwehr C., Whelan M. 2017. Inventory of the 3Rs knowledge sources. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrceurl-ecvam-eurl-ecvam-3rs.
Huang Y., Breda J., Savietto D., Debrusse A.M., Combes S., Fortun-Lamothe L. 2021. Part-time grouping of rabbit does in enriched housing: effects on performances, injury occurrence and enrichment use. Animal, 15: 100390. https://doi.org/10.1016/j.animal.2021.100390
Immerseel F.V., Buck J.D., Smet I.D., Pasmans F., Haesebrouck F., Ducatelle R. 2004. Interactions of butyric acid- and acetic acid-treated Salmonella with chicken primary cecal epithelial cells in vitro. Avian Dis., 48: 384-391. https://doi.org/10.1637/7094
Janssens M., Gaillard S., de Haan J.J., de Leeuw W., Brooke M., Burke M., Flores J., Kruijen I., Menon J.M.L, Smith A., Tiebosch I.A.C.W, Weijdema F. 2023. How open science can support the 3Rs and improve animal research. Res. Ideas Outcomes, 9: e105198. https://doi.org/10.3897/rio.9.e105198
Jaworski N.W., Simard F., Leduc M., Ramaekers P., Fledderus J., Ferguson N.S. 2019. Utilizing in vitro protein digestion kinetics and resistant fiber to steer ingredient composition of nursery pig diets for reduced risk of post-weaning diarrhoea. In: Zero Zinc Summit 2019, 1-5.
Joly L., Goby J.P., Duprat A., Legendre H., Savietto D., Gidenne T., Martin G. 2018. PASTRAB: a model for simulating intake regulation and growth of rabbits raised on pastures. Animal, 12: 1642-1651. https://doi.org/10.1017/S1751731117002993
Juárez J.D., Marco-Jiménez F., Lavara R., Vicente J.S. 2020. Rederivation by cryopreservation of a paternal line of rabbits suggests exhaustion of selection for post-weaning daily weight gain after 37 generations. Animals, 10: 1436. https://doi.org/10.3390/ani10081436
Kardia E., Frese M., Smertina E., Strive T., Zeng X. L., Estes M., & Hall R. N. 2021. Culture and differentiation of rabbit intestinal organoids and organoid-derived cell monolayers. Sci. Rep., 11: 5401. https://doi.org/10.1038/s41598-021-84774-w
Köver G.Y., Szendrő Zs., Romvári R., Jensen J.F., Sørensen P. and Milisits G. 1998. In vivo measurement of body parts and fat deposition in rabbits by MRI. World Rabbit Sci., 6: 191-194. https://doi.org/10.4995/wrs.1998.349
Lebas F. 1968. esure quantitative de la production laitière chez la lapine. Ann. Zootech., 17: 169-182. https://doi.org/10.1051/animres:19680204
Lebas F., Cousin M.C. 1979. Efficacité de la digestion chez la lapine adulte. Effets du niveau d’alimentation et du stade de gestation. Ann. Biol. Anim. Bioch. Biophys., 19, 3B: 969-973. https://doi.org/10.1051/rnd:19790640
Ledin I. 1984. Effect of restricted feeding and realimentation on compensatory growth, carcass composition and organ growth in rabbit. Ann. Zootech., 33, 1: 33-50. https://doi.org/10.1051/animres:19840103
Le Ferrec E., Chesne C., Artusson P., Brayden D., Fabre G., Gires P. Guillou F., Rousset m., Rubas W., Scarino M.L. 2001. In vitro models of the intestinal barrier. The report and recommendations of ECVAM Workshop 46. European Centre for the Validation of Alternative methods. Altern. Lab. Anim., 29: 649-668. https://doi.org/10.1177/026119290102900604
Li Y., Zhou T., Zhuang J., Dai Y., Zhang X., Bai S., Zhao B., Tang X., Wu X., Chen Y. 2023. Effects of feeding restriction on skeletal muscle development and functional analysis of TNNI1 in New Zealand white rabbits. Anim. Biotechnol., 34: 4435-4447. https://doi.org/10.1080/10495398.2022.2155662
Maertens L., De Groote G. 1981. L’energie digestible de la farine de luzerne determinee par des essais de digestibilite avec des lapins de chair. Rev. Agric., 34: 79-92.
Maertens L., De Groote G. 1982. Etude de la variabilité des coefficients de digestibilité des lapins suite aux différences d’age, de sexe, de race et d’origine. Rev. Agric., 4, 35: 2787-2797.
Maertens L., Moermans R., De Groote G. 1988. Prediction of the apparent digestible energy (ADE) content of commercial pelleted feeds for rabbits. J. Appl. Rabbit Res., 11, 2: 60-67.
Maertens L., Pérez J.M., Villamide M., Cervera C., Gidenne T., Xiccato G. 2002. Nutritive value of raw materials for rabbits: EGRAN Tables 2002. World Rabbit Sci., 10: 157-166. https://doi.org/10.4995/wrs.2002.488
Maertens L., Lebas F., Szendrő Zs. 2006. Rabbit milk: a review of quantity, quality and non-dietary affecting factors. World Rabbit Sci., 14: 205-230. https://doi.org/10.4995/wrs.2006.565
Martens B.M.J., Noorloos M., de Vries S., Schols H.A., Bruininx E.M.A.M., Gerrits W.J.J. 2019. Whole digesta properties as influenced by feed processing explain variation in gastrointestinal transit times in pigs. Br. J. Nutr., 122: 1242-1254. https://doi.org/10.1017/S0007114519002198
Martin O., Sauvant D. 2010. A teleonomic model describing performance (body, milk and intake) during growth and over repeated reproductive cycles throughout the lifespan of dairy cattle. 1. Trajectories of life function priorities and genetic scaling. Animal, 4: 2030-2047. https://doi.org/10.1017/S1751731110001357
Masoero G., Bergoglio G., Riccioni L., Barge M. T. 1992. Near infrared spectroscopy applied to living rabbits to estimate body composition and carcass and meta traits. A calibration study. J. Appl. Rabbit Res., 15: 810-818.
McNitt J.I., Lukefahr S.D. 1990. Effect of breed, parity, day of lactation and number of kits on milk production of rabbits. J. Anim. Sci., 68: 1505-1512. https://doi.org/10.2527/1990.6861505x
Méda B., Fortun-Lamothe L., Hassouna M. 2014. Prediction of nutrient flows with potential impacts on the environment in a rabbit farm: a modelling approach. Anim. Prod. Sci., 54: 2042-2051. https://doi.org/10.1071/AN14530
Menke K.H., Raab L., Salewski A., Steingass H., Fritz D., Schneider W. 1979. The estimation of the digestibility and metabolizable energy content of ruminant feedingstuffs from the gas production when they are incubated with rumen liquor in vitro. J. Agric. Sci., 93: 217-222. https://doi.org/10.1017/S0021859600086305
Meunier J.P., Manzanilla E.G., Anguita M., Denis S., Pérez J.F., Gasa J., Cardot J.M., Garcia F., Moll X., Alric M. 2008. Evaluation of a Dynamic in vitro model to simulate the porcine ileal digestion of diets differing in carbohydrate composition. J. Anim. Sci., 86: 1156-1163. https://doi.org/10.2527/jas.2007-0145
Mikó, A, Matics Zs, Gerencsér Zs, Radnai, I, Odermatt, M, Nagy, I, Szendrö Zs. 2012. Location preference of lactating rabbit does and their kits in pens with elevated platform. In Proc.: 10th World Rabbit Congress, 3-6, September, 2012. Sharm El-Sheikh, Egypt. 1029-1032.
Minekus M., Alminger M., Alvito P., Ballance S., Bohn T., Bourlieu C., Carrière F., Boutrou R., Corredig M., Dupont D., Dufour C., Egger L., Golding M., Karakaya S., Kirkhus B., Le Feunteun S., Lesmes U., Macierzanka A., Mackie A., Marze S., McClements D.J., Menard O., Recio I., Santos C.N., Singh R.P., Vegarud G.E., Wickham M.S.J., Weitschies W., Brodkorb A. 2014. A standardised static in‐vitro digestion method suitable for food - An international consensus. Food Funct., 5: 1113-1124. https://doi.org/10.1039/C3FO60702J
Morton D., Jennings M., Batchelor G., Bell D., Birke L., Davies K., Eveleigh J., Gunn D., Heath M., Howard B., Koder P., Phillips J. 1993. Refinements in rabbit husbandry: Second report of the BVAAWF/FRAME/RSPCA/UFAW joint working group on refinement. Lab. Anim., 27: 301-329. https://doi.org/10.1258/002367793780745633
Mussard E., Pouzet C., Helies V., Pascal G., Fourre S., Cherbuy C., Rubio A., Vergnolle N., Combes S., Beaumont M. 2020. Culture of rabbit caecum organoids by reconstituting the intestinal stem cell niche in vitro with pharmacological inhibitors or, L-WRN conditioned medium. Stem Cell Res., 48: 101980. https://doi.org/10.1016/j.scr.2020.101980
Negretti P., Bianconi G., Finzi A. 2007 Visual image analysis to estimate morphological and weight measurements in rabbits. World Rabbit Sci., 15: 10. https://doi.org/10.4995/wrs.2007.606
Nicodemus N., Pereda N., Romero C., Rebollar P.G. 2009. Évaluatuion de la technique d’impédance bioélectrique (IBE) puor estimer la composition corporelle de lapines reproductrices. In Proc.: 13émes Journées de la Recherche Cunicole (INRA/ITAVI), 185-188.
Noblet J., Jaguelin-Peyraud Y. 2007. Prediction of digestibility of organic matter and energy in the growing pig from an in vitro method. Anim. Feed Sci. Technol., 134: 211-222. https://doi.org/10.1016/j.anifeedsci.2006.07.008
Noblet J., Wu S., Choct M. 2022. Methodologies for energy evaluation of pig and poultry feeds: a review. Anim. Nutr., 8: 185-203. https://doi.org/10.1016/j.aninu.2021.06.015
Norton T., Chen C., Larsen M.L.V., Berckmans D. 2019. Review: Precision livestock farming: building ‘digital representations’ to bring the animals closer to the farmer. Animal, 13: 3009-3017. https://doi.org/10.1017/S175173111900199X
Ocasio-Vega C., Abad-Guamán R., Delgado R., Carabaño R., Carro M.D., García J. 2018a. Effect of cellobiose supplementation and dietary soluble fibre content on in vitro caecal fermentation of carbohydrate-rich substrates in rabbits. Arch. Anim. Nutr., 72: 221-238. https://doi.org/10.1080/1745039X.2018.1458459
Ocasio-Vega C., Abad-Guamán R., Delgado R., Carabaño R., Carro M.D., García J. 2018b. In vitro caecal fermentation of carbohydrate-rich feedstuffs in rabbits as affected by substrate pre-digestion and donors’ diet. World Rabbit Sci., 26: 15-25. https://doi.org/10.4995/wrs.2018.7854
Ocasio-Vega C., Abad-Guamán R., Butí M., de Evan T., Carro M.D., García J. 2024. Effect of source of soluble fibre (apple, beet and citrus), type of sample and type of grinding on caecal in vitro gas production in rabbits. In Proc.: 13th World Rabbit Congress.
Pascual J.J. 2009. Rabbit research in Spain: current situation. In Proc.: XXXIV Symposium de Cunicultura (ASESCU), 25-34.
Pascual J.J., Climent A. 2011. World Rabbit Science: Towards an open access journal. World Rabbit Sci., 19: 65-66. https://doi.org/10.4995/wrs.2011.832
Pascual J.J., Castella F., Cervera C., Blas E., Fernández-Carmona J. 2000a. The use of ultrasound measurement of perirenal fat thickness to estimate changes in body condition of young female rabbits. Anim. Sci., 70: 435-442. https://doi.org/10.1017/S135772980005178X
Pascual J.J., Cervera C., Fernández-Carmona J. 2000b. Comparison of different in vitro digestibility methods for nutritive evaluation of rabbit diets. World Rabbit Sci., 8: 93-97. https://doi.org/10.4995/wrs.2000.425
Pascual J.J., Blanco J., Piquer O., Quevedo F., Cervera C. 2004. Ultrasound measurements of perirenal fat thickness to estimate the body condition of reproducing rabbit does in different physiological status. World Rabbit Sci., 12: 7-21. https://doi.org/10.4995/wrs.2004.584
Pascual J.J., Xiccato G., Fortun-Lamothe L. 2006. Strategies for does’ corporal condition improvement - relationship with litter viability and career length. In: Maertens L., Coudert P. (Eds.), Recent Advances in Rabbit Science, ILVO, Merenbeke, Belgium.
Pereda N. 2010. Evaluación de la técnica del análisis de impedancia bioeléctrica para predecir la composición corporal: Aplicación en conejas sometidas a diferentes sistemas de alimentación durante la recría. PhD Thesis, Universidad Politécnica de Madrid, Spain.
Pérez J.M. 1994. Digestibilite et valeur energetique des luzernes deshydratees pour le lapin: influence de leur composition chimiique et de leur technologie de preparation. In Proc.: VIémes Journées de la Recherche Cunicole, La Rochelle, France, Vol. 2.
Pérez J.M., Cervera C., Falcão-e-Cunha L., Maertens L., Villamide M. J., Xiccato G. 1995a. European ring-test on in vivo determination of digestibility in rabbits: reproducibility of a reference method in comparison with domestic laboratory procedures. World Rabbit Sci., 3: 171-178. https://doi.org/10.4995/wrs.1995.259
Pérez J.M., Lebas F., Gidenne T., Maertens L., Xiccato G., Parigi-Bini R., Dalle Zotte A., Cossu M.E., Carazzolo A., Villamide M.J., Carabaño R., Fraga M.J., Ramos M.A., Cervera C., Blas E., Fernández J., Falcão-e-Cunha L., Bengala Freire J. 1995b. European reference method for in vivo determination of diet digestibility in rabbits. World Rabbit Sci., 3: 41-43. https://doi.org/10.4995/wrs.1995.239
Pérez-Enciso M., Steibel J.P. 2021. Phenomes: the current frontier in animal breeding. Genet. Sel. Evol., 53: 22. https://doi.org/10.1186/s12711-021-00618-1
Pérez-Fuentes S., Muñoz-Silvestre A., Moreno-Grua E., Martínez-Paredes E., Viana D., Selva L., Villagrá A., Sanz-Tejero C., Pascual J.J., Cervera C., Corpa J.M. 2020. Effect of different housing systems (single and group penning) on the health and welfare of commercial female rabbits. Animal, 14: 1270-1277. https://doi.org/10.1017/S1751731119003379
Pietro C., Verlhac V., Pérez Calvo E., Schmeisser J., Kluenter A.M. 2019. Biomarkers of gastrointestinal functionality in animal nutrition and health. Anim. Feed Sci. Tech., 250: 9-31. https://doi.org/10.1016/j.anifeedsci.2018.07.012
Piles M., Sánchez J.P., Riaboff L., David I., Mora M. 2023. Uso de acelerómetros para cuantificar el nivel de actividad de conejos en crecimiento mediante la predicción de su comportamiento. In: ITEA-AIDA Conference, Zaragoza, Spain.
Quevedo F., Cervera C., Blas E., Baselga M., Costa C., Pascual J.J. 2005. Effect of selection for litter size and feeding programme on the performance of young rabbit females during rearing and first pregnancy. Anim. Sci.. 80: 161-168. https://doi.org/10.1079/ASC40850161
Quevedo F., Cervera C., Blas E., Baselga M., Pascual J.J. 2006. Long-term effect of selection for litter size and feeding programme on the performance of reproductive rabbit does 2. Lactation and growing period. Anim. Scie., 82: 751-762. https://doi.org/10.1079/ASC200688
Ramos M., Carabaño R., Boisen S. 1992. An in vitro method for estimating digestibility in rabbits. J. Appl. Rabbit Res., 15: 938-946.
Read T., Gidenne T., Combes S., Labatut D., Bricard D., Bébin K., Fortune-Lamothe L. 2017. Digestibilité compare chez le lapin: effects de l’âge, de l’etat et du stade physiologiques. In Proc.: 17emes Journées de la Recherche Cunicole, 177-180.
Rebollar P., Pereda N., Schwarz B., Millan P., Lorenzo P.L., Nicodemus N. 2011. Effect of feed restriction or feeding high-fibre diet during the rearing period on body composition, serum parameters and productive performance of rabbit does. Anim. Feed. Sci. Technol., 163: 67-76. https://doi.org/10.1016/j.anifeedsci.2010.10.005
Reinhardt V., Reinhardt A. 2006. Variables, refinement and environmental enrichment for rodents and rabbits kept in research institutions making life easier for animals in laboratories. In: Animal Welfare Institute: Washington, DC.
Rodríguez-Romero N., Abecia L., Fondevila M., Balcells J. 2011. Effects of levels of insoluble and soluble fibre in diets for growing rabbits on faecal digestibility, nitrogen recycling and in vitro fermentation. World Rabbit Sci., 19: 85-94. https://doi.org/10.4995/wrs.2011.828
Roeselers G., Ponomarenko M., Lukovac S., Wortelboer H.M. 2013. Ex vivo systems to study host-microbiota interactions in the gastrointestinal tract. Best Pract. Res. Clin. Gastroenterol., 27: 101-113. https://doi.org/10.1016/j.bpg.2013.03.018
Roi A.J., Grune B. 2013. The EURL ECVAM Search Guide: Good Search Practice to Animal Alternatives. EUR EUR 24391 EN - 2013. EC-Joint Research Centre; 2013. JRC88200.
Rommers J., Bracke M.B.M., Reuvekamp B., Gunnink, H, Jong I. 2014. Cage enrichment: Rabbit does prefer straw or a compressed wooden block. World Rabbit Sci., 22: 301. https://doi.org/10.4995/wrs.2014.1353
Romvari R., Milisits G., Szendrő Z.S., Sorensen P. 1996. Noninvasive method to study the body composition of rabbits by, X-ray computerized tomography. World Rabbit Sci., 4: 219-224. https://doi.org/10.4995/wrs.1996.298
Russell W.M.S., Burch R.L. 1959. The principles of humane experimental technique. Wheathampstead (UK): Universities Federation for Animal Welfare.
Sabater C., Tolosa C., Cervera C. 1993. Factores de variación de la curva de lactación de la coneja. Arch. Zootech., 42: 105-114.
Saiz del Barrio A., García-Ruiz A.I., Fuentes-Pila J., Nicodemus N. 2017. Application of bioelectrical impedance analysis to assess rabbit’s body composition from 25 to 77d of age. J. Anim. Sci., 95: 2782-2793. https://doi.org/10.2527/jas.2016.1196
Saiz del Barrio A., García-Ruiz A.I., Fuentes-Pila J., Nicodemus N. 2022. Application of bioelectrical impedance analysis (BIA) to assess carcass composition and nutrient retention in rabbits from 25 to 77 days of age. Animals, 12: 2926. https://doi.org/10.3390/ani12212926
Sambuy Y., Angelis I.D., Ranaldi G., Scarino M.L., Stammati A., Zucco F. 2012. The Caco-2 cell line as a model of the intestinal barrier: Influence of cell and culture-related factors on Caco-2 cell functional characteristics. Cell Biol. Toxicol., 21: 1-26. https://doi.org/10.1007/s10565-005-0085-6
Sampaio I.B.M., Ferreira W.M., Bastos A.F. 2005. The use of a stochastic model of rabbit growth for culling. World Rabbit Sci., 13: 107-112. https://doi.org/10.4995/wrs.2005.525
Sánchez J.P., Muñoz J., Chetrit R., Pascual M., Piles M. 2024. Method: eFeederRab: A new electronic feeder to measure individual feed intake−related traits on growing rabbits raised in collective cages. Animal - Open Space, 3: 100074 https://doi.org/10.1016/j.anopes.2024.100074
Sandner G., Mueller A.S., Zhou X., Stadlbauer V., Schwarzinger B., Schwarzinger C., Wenzel U., Maenner K., van der Klis J.D., Hirtenlehner S., Aumiller T., Weghuber J. 2020. Ginseng extract ameliorates the negative physiological effects of heat stress by supporting heat shock response and improving intestinal barrier integrity: evidence from studies with heat-stressed Caco-2 cells C. elegans and growing broilers. Molecules, 25: 835. https://doi.org/10.3390/molecules25040835
Sandner G., Stadlbauer V., Sadova N., Neuhauser C., Schwarzinger B., Karlsberger L., Hangweirer K., Antensteiner K., Stallinger A., Aumiller T., Weghuber J. 2023. Grape seed extract improves intestinal barrier integrity and performance: Evidence from in vitro, Caenorhabditis elegans and Drosophila melanogaster experiments and a study with growing broiler. Food Biosci., 52: 102483. https://doi.org/10.1016/j.fbio.2023.102483
Sato T., Vries R.G., Snippert H.J., van de Wetering M., Barker N., Stange D.E., Van Es J.H., Abo A., Kujala P., Peters P.J., Clevers H. 2009. Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature, 459: 262-265. https://doi.org/10.1038/nature07935
Sauvant D., Schmidely P., Daudin J. J., St-Pierre N.R. 2008. Meta-analyses of experimental data in animal nutrition. Animal, 2: 1203-1214. https://doi.org/10.1017/S1751731108002280
Savietto D., Marono S., Martínez I., Martínez-Paredes E., Ródenas L., Cervera C., Pascual J.J. 2016. Patterns of body condition use and its impact on fertility. World Rabbit Sci., 24: 39-45. https://doi.org/10.4995/wrs.2016.4006
Shurson G.C., Hung Y.-T., Jang J.C., Urriola P.D. 2021. Measures matter-determining the true nutri-physiological value of feed ingredients for swine. Animals, 11: 1259. https://doi.org/10.3390/ani11051259
Siesler H.W. 2007. Basis principles of near-infrared spectroscopy. In: Burns D.A., Ciurczak E.W. (Eds.). Handbook of nearinfrared analysis. Taylor & Francis Group, Boca Raton FL, USA, 7-20.
Silva FF, Morota, G, Rosa GJM. 2021. Editorial: High-throughput phenotyping in the genomic improvement of livestock. Front. Genet., 18: 707343. https://doi.org/10.3389/fgene.2021.707343
Stanco G., Di Meo C., Calabro S., Nizza A. 2003. Prediction of nutritive value of diets for growing rabbits using an in vitro gas production technique. World Rabbit Sci., 11: 199-210. https://doi.org/10.4995/wrs.2003.508
Swiech E. 2017. Alternative prediction methods of protein and energy evaluation of pig feeds. J. Anim. Sci. Biotech., 8: 39. https://doi.org/10.1186/s40104-017-0171-7
Taghouti M., García J., Ibáñez M.A., Macchiavelli R.E., Nicodemus N. 2021. Relationship between body chemical composition and reproductive traits in rabbit does. Animal, 11: 2299. https://doi.org/10.3390/ani11082299
Trocino A., Xiccato G. 2006 Animal welfare in reared rabbits: A review with emphasis on housing systems. World Rabbit Sci., 14: 77-93. https://doi.org/10.4995/wrs.2006.553
Trocino A., Filiou E., Tazzoli M., Bertotto D., Negrato E., Xiccato G. 2014. Behaviour and welfare of growing rabbits housed in cages and pens. Livest. Sci., 167: 305-314. https://doi.org/10.1016/j.livsci.2014.05.035
Trocino A., García J., Carabaño R., Xiccato G. 2013. A metaanalysis on the role of soluble fibre in diets for growing rabbits. World Rabbit Sci., 21: 1-15. https://doi.org/10.4995/wrs.2013.1285
Trocino A., Menegon F., Zomeño C., Pasqualin D., Cunial G., Xiccato G., Pirrone F., Bertotto D., Bortoletti M., Dorigo F., Lavazza A., Di Martino G. 2022. A pilot study about onfarm assessment of health and welfare in rabbits kept in different housing systems. Front. Vet. Sci., 9: 936643. https://doi.org/10.3389/fvets.2022.936643
Ussing H.H., Zerahn K. 1951. Active transport of sodium as the source of electric current in the short-circuited isolated frog skin. Acta Physiol. Scand., 23: 110-127. https://doi.org/10.1111/j.1748-1716.1951.tb00800.x
Van Damme L.G.W., Ampe B., Delezie E., Tuyttens F.A.M. 2023. Effects of group size and cage enrichment on social behaviour and skin injuries of breeding rabbits housed part-time in group. Animal, 17: 100850. https://doi.org/10.1016/j.animal.2023.100850
Van Damme L.G.W., Delezie E., Ampe B., Tuyttens F.A.M. 2022. Timing of part-time group housing for farm rabbits: Effects on reproductive performance, skin injuries and behaviour. Appl. Anim. Behav. Sci., 252: 105656. https://doi.org/10.1016/j.applanim.2022.105656
Villamide M.J., Fraga M.J., 1998. Prediction of the digestible crude protein and protein digestibility of feed ingredients for rabbits from chemical analysis. Anim. Feed Sci. Technol., 70: 211-224. https://doi.org/10.1016/S0377-8401(97)00079-5
Villamide M.J., Fraga M.J., de Blas C. 1991. Effect of type of basal diet and rate of inclusion on the evaluation of protein concentrates with rabbits. Anim. Prod., 52: 215-224. https://doi.org/10.1017/S0003356100005869
Villamide M.J., García J., Blas E., Cervera C. 2000. Comparison among methods of nutritional evaluation of fibrous ingredients. In Proc.: 7th World Rabbit Congress, 4-7, July, 2000, Valencia, Spain. 475-482.
Villamide M.J., Maertens L., Cervera C., Pérez J.M., Xiccato G. 2001. A critical approach of the calculation procedures to be used in digestibility determination of feed ingredients for rabbits. World Rabbit Sci., 9: 19-25. https://doi.org/10.4995/wrs.2001.442
Villamide M.J., Carabaño R., Maertens L., Pascual J.J., Gidenne T., Falcão-e-Cunha, L, Xiccato G. 2009. Prediction of the nutritional value of European compound feeds for rabbits by chemical components and in vitro analysis. Anim. Feed Sci. Technol., 150: 283-294. https://doi.org/10.1016/j.anifeedsci.2008.09.007
Villamide M.J., Llorente A., García A.I., Carabaño R. 2016. Nitrogen and amino acid ileal and faecal digestibility of rabbit feeds predicted by an in vitro method. Anim. Feed Sci. Technol., 219: 210-215. https://doi.org/10.1016/j.anifeedsci.2016.06.015
Wang W., Chen Y., Bai L., Zhao S., Wang R., Liu B., Zhang Y., Fan J., Liu E. 2018. Transcriptomic analysis of the liver of cholesterol-fed rabbits reveals altered hepatic lipid metabolism and inflammatory response. Sci. Rep., 8: 6437. https://doi.org/10.1038/s41598-018-24813-1
Wathes C.M., Kristensen H.H., Aerts, J-M., and Berckmans D. 2008. Is precision livestock farming an engineer’s daydream or nightmare, an animal’s friend or foe, and a farmer’s panacea or pitfall? Comput. Electron. Agric., 64: 2-10. https://doi.org/10.1016/j.compag.2008.05.005
Wilkinson M., Dumontier M., Aalbersberg I. et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data, 3: 160018.
Wiseman J., Villamide M.J., de Blas C., Carabaño M.J., Carabaño R.M. 1992. Prediction of the digestible energy and digestibility of gross energy of feeds for rabbits. 1. Individual classes of feeds. Anim. Feed Sci. Technol., 39: 27-38. https://doi.org/10.1016/0377-8401(92)90029-6
Wu J., Yang C.L., Sha Y.K., Wu Y., Liu Z.Y., Yuan Z.H., Sun Z.L. 2020. Koumine alleviates lipopolysaccharide-induced intestinal barrier dysfunction in IPEC-J2 cells by regulating Nrf2/NF-κB pathway. Am. J. Chin. Med., 48: 127-142. https://doi.org/10.1142/S0192415X2050007X
Xiccato G., Cinetto M., Dalle Zotte A. 1992. Effetto del livello nutritivo e della categoría di congli sull’efficienza digestiva e sul bilancio azotato. Zoot. Nutr. Anim., 18: 35-43.
Xiccato G., Carazzolo A., Cervera C., Falcão-e-Cunha L., Gidenne T., Maertens L., Pérez J.M., Villamide M.J. 1996. European ring-test on the chemical analyses of feed and faeces: influence on the calculation of nutrient digestibility in rabbits. In Proc.: 6th World Rabbit Congress, 9-12, July, 1996, Toulouse, France, 293-297.
Xiccato G., Trocino A., Carazzolo A., Meurens M., Maertens L., Carabaño R. 1999. Nutritive evaluation and ingredient prediction of compound feeds for rabbits by nearinfrared reflectance spectroscopy (NIRS). Anim. Feed Sci. Technol., 77: 201-212. https://doi.org/10.1016/S0377-8401(98)00253-3
Xiccato G., Trocino A., Maertens L., De Boever J.L., Pérez J. M., Andrieu J. 2000. European harmonisation of Near Infrared Reflectance Spectroscopy (NIRS) analysis on rabbit feeds: first steps. In Proc.: 7th World Rabbit Congress, 4-7, July, 2000, Valencia, Spain. 491-497.
Xiccato G., Trocino A., De Boever J.L., Maertens L., Carabaño R., Pascual J.J., Pérez J.M., Gidenne T., Falcão-e-Cunha L. 2003a. Prediction of chemical composition, nutritive value and ingredient composition of European compound feeds for rabbits by near infrared reflectance spectroscopy (NIRS). Anim. Feed Sci. Technol., 104: 153-168. https://doi.org/10.1016/S0377-8401(02)00294-8
Xiccato G., Trocino A. Sartori A. Queaque P.I. 2003b. Effect of weaning diet and weaning age on growth, body composition and caecal fermentation of young rabbits. Animal Sci., 77: 101-111. https://doi.org/10.1017/S1357729800053704
Xiccato G., Trocino A. Sartori A. Queaque P.I. 2004. Effect of parity order and litter weaning age on the performance and body energy balance of rabbits does. Livest Prod Sci., 85: 239-251. https://doi.org/10.1016/S0301-6226(03)00125-8
Yang C., Ge J., Cui W., Lui P., Yan S., Wang L. Wang Z. 2020. Growth rules and growth curve fitting of feed restriction color Rex rabbits. Genom. Appl. Biol., 39: 1549-1555.
Yasoob T.B., Khalid A.R., Zhang Z., Zhu X., Hang S. 2022. Liver transcriptome of rabbits supplemented with oral Moringa oleifera leaf powder under heat stress is associated with modulation of lipid metabolism and up-regulation of genes for thermo-tolerance, antioxidation, and immunity. Nutr Res., 99: 25-39. https://doi.org/10.1016/j.nutres.2021.09.006
Yeste J., Illa X., Alvarez M., Villa R. 2018. Engineering and monitoring cellular barrier models. J. Biol. Eng.,12: 5. https://doi.org/10.1186/s13036-018-0108-5
Zemanova M. 2020. Towards more compassionate wildlife research through the 3Rs principles: Moving from invasive to non-invasive methods. Wildl. Biol., 2020: 1-17. https://doi.org/10.2981/wlb.00607
Zhou M., Zhu J., Yu H., Yin X., Sabour P.M., Zhao L., Chen W., Gong J. 2014. Investigation into in vitro and in vivo models using intestinal epithelial IPEC-J2 cells and Caenorhabditis elegans for selecting probiotic candidates to control porcine enterotoxigenic Escherichia coli. J. Appl. Microbiol., 117: 217-226. https://doi.org/10.1111/jam.12505



