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Enregistrement W2996632374 · doi:10.15414/afz.2019.22.04.138-143

The comparison of the selected morphometric traits in three medium-sized rabbit breeds

2019· article· en· W2996632374 sur OpenAlexaboutno aff
Vlastimil Šimek

Notice bibliographique

RevueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2019
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueRabbits: Nutrition, Reproduction, Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiologyRabbit (cipher)Veterinary medicineEvolutionary biologyZoologyMathematicsStatisticsMedicine

Résumé

récupéré en direct d'OpenAlex

Article Details: Received: 2019-09-03 | Accepted: 2019-10-14 | Available online: 2019-12-31 https://doi.org/10.15414/afz.2019.22.04.138-143 The aim of the study was to determine the growth characteristics of three rabbit breeds (Czech Solver, CSo, n = 11; Czech Spotted, CS, n = 28; Blanc de Hotot, BH, n = 24) under small-scaled stock conditions as a basis for their potential meat performance. The body morphometric characteristics live weight (LW), head length (HL), body length (BL), ear length, thoracic circumference (TC) and body compact index TC/BL were recorded in growing rabbits from 21st to 91st day of their age. At the end of the trial, the highest LW value was recorded in the BH breed (2,700.0 g) as compared to the CSo and CS breeds, respectively (1,887.5 and 1,545.4 g). The values of the HL were significantly affected by a rabbit breed up to the 63rd day of their age (P <0.01). The highest values of BL and TC were found in the BH breed as compared to the CSo breed and also the CS breed (P <0.01). The BH breed showed also the longest ears (P <0.01) while the different dynamics of the ear growth among the evaluated breeds was found. Concerning the body compact index TC/BL, the growing rabbits of the BH breed showed wider body given by their musculature proportion as compared to the representatives of the CSo and CS breeds (P <0.01). Our findings suggest that the Blanc de Hotot breed possesses suitable growth and morphometric characteristics for intended meat production. References BLASCO, A. and OUHAYOUN, J. (1993) Harmonization of criteria and terminology in rabbit meat research. Revised proposal. In World Rabbit Science, vol. 4, no. 2, pp. 93–99. DOI: https://doi.org/10.4995/wrs.1996.278 DALLE ZOTTE, A., RICCI, R., SARTORI, A., LUKEFAHR, S. and PACI, G. (2013) Body morphometric development during growth and maturity of colored dwarf rabbits available in the Italian market. In World Rabbit Science, vol. 21, no. 4, pp. 227– 233. DOI: https://doi.org/10.4995/wrs.2013.1386 EUROPEAN UNION (2017) Overview Report: Commercial Rabbit Farming in the European Union. Luxembourg: Publications Office of the European Union. 16 s. DOI: 10.2772/62174. FIK, M., ANDREJI, J., HRNČÁR, C., ARPÁŠOVÁ, H. and NEIRUREROVÁ, P. (2018) Reproduction performances, growth and slaughter traits analysis of rabbit of Nitra breed. In Acta fytotechnica et zootechnica, vol. 21, no. 4, pp. 162–165. DOI: https://doi.org/10.15414/afz.2018.21.04.162-165 GONDRET, F., JUIN, H., MOUROT, J. and BONNEAU, M. (1998) Effect of age at slaughter on chemical traits and sensory quality of Longissimus lumborum muscle in the rabbit. In Meat Science, vol. 48, no. 1–2, pp. 181–187. DOI: https://doi.org/10.1016/S0309-1740(97)00088-0 HASSAN H.E., ELAMIN K.M., YOUSIF I.A., MUSA, A.M. and ELKHAIREY, M.A. (2012) Evaluation of body weight and some morphometric traits at various ages in local rabbits of Sudan. In Journal of Animal Science Advances, vol. 2, no. 4, pp. 407–415. HERNÁNDEZ, P., PLA, M. and BLASCO, A. (1996) Prediction of carcass composition in the rabbit. In Meat Science, vol. 44, 1–2, pp. 75–83. DOI: https://doi.org/10.1016/S0309-1740(96)00078-2 HINKLE, A. (2011) Color genetics of the Dwarf Hotot. In HINKLE, A. American Dwarf Hotot Specialty Club Guidebook, pp. 112–116. JOSROVÁ, L. (2018) Situation and Prospect Report: Rabbits. Praha: Ministry of Agriculture of the Czech Republic. 20 pp. KHAN, S., KHAN, M.H., MUHAMMAD, S., KALEEM, K., SHAH, P., KHAN, A. SHAKIR, M.I.M. and KHAN, N. (2017) Phenotypic and morphometric characteristics of Angora rabbis in rabbit model farm JabbaMansehra Khyber Pakhtunkhwa-Pakistan. In Journal of Biology, Agriculture and Healthcare, vol. 7, no. 5, pp. 68–71. LUKEFAHR, S.D. and RUIZ-FERIA C.A. (2003) Rabbit growth performance in a subtropical and semi-arid environment: effects of clipping, ear length, and body temperature. In Livestock Research for Rural Development, vol. 15, no. 2. MACH K., MARTINEC, M., VOSTRÝ, L., ADREJSOVÁ, L. and MAJZLÍK, I. (2010) History and development of rabbit breeding in the Czech Republic. In Acta fytotechnica et zootechnica – Mimoriadne číslo, pp. 111–114 (In Czech). MARTINEC, M., ŠIMEK, V. and JAHODA, J. (2017) Development of rearing of national rabbit breeds included into genetic resources preserve programme in the Czech Republic. In New trends in intensive and hobby rabbit breeding. Praha 29.11.2017. Praha: Institute of Animal Science, pp. 54–56 (In Czech). McNITT, J.J., LUKEFAHR, S.D., CHEEKE, P.R. and PATTON, N.M. (2013) Rabbit production. 9th ed. Wallingford: CABI, 300 pp. OUYED, A., RIVEST, J. and BRUN, J.M. (2011) Heterosis, direct and maternal additive effects on rabbit growth and carcass traits from a Canadian experiment. In World Rabbit Science, vol. 19, no. 1, pp. 31–41. DOI: https://doi.org/10.4995/wrs.2011.783a QUENEY, G., VACHOT. A.-M., BRUN, J.-M., DENNEBOUY, N., MULSANT, P. and MONNEROT, M. (2002) Different levels of human intervention in domestic rabbits: Effects on genetic diversity. In Journal of Heredity, vol. 93, no. 3, pp. 205–209. DOI: https://doi.org/10.1093/jhered/93.3.205 TŮMOVÁ, E., MARTINEC, M. and CHODOVÁ, D. (2011) Analysis of Czech rabbit genetic resources. In Scientia Agriculturae bohemica, vol. 42, no. 3, pp. 113–118. TŮMOVÁ, E., BÍZKOVÁ, Z., SKŘIVANOVÁ, V., CHODOVÁ, D., MARTINEC, M. and VOLEK, Z. (2014) Comparison of carcass and meat quality among rabbit breeds of different size and hybrid rabbits. In Livestock Science, vol. 165, pp. 8.14. DOI: http://dx.doi.org/10.1016/j.livsci.2014.04.019 STATSOFT Inc. (2011) STATISTICA Data analysis software system, version 10. StatSoft Inc., Tulsa. SWEET, H., PEARSON, A.J., WATSON, P.J. and GERMAN, A.J. (2013) A novel zoometric index for assessing body composition in adult rabbits. In Veterinary Record, vol. 173, no. 15, pp. 369. DOI: https://doi.org/10.1136/vr.101771 SZENDRŐ, K., METZGER S., OEDRMATT, M., RADNAI, I., GARAI, É., HORN, P. and SZENDRŐ, Zs. (2012) Effect of age and weight of rabbits at slaughter on carcass value. In Acta agriculturae Slovenica, suppl. 3, pp. 333–337. WANG, J., SU, Y., ELZO, M.A., JIA, X., CHEN, S. and LAI, S. (2016) Comparison of carcass and meat quality traits among three rabbit breeds. In Korean Journal of Food Science of Animal Resources, vol. 36, no. 1, pp. 84–89. DOI: http://dx.doi.org/10.5851/kosfa.2016.36.1.84 WHITMAN, B.D. (2004) Domestic rabbits and their histories: Breeds of the World. Leawood: Leathers Publishing, 456 pp. ZITA, L., TŮMOVÁ, E. and BÍZKOVÁ, Z (2010) Genetic resources of rabbits in the Czech Republic. In Acta fytotechnica et zootechnica – mimoriadne číslo, pp. 34–36 (In Czech). ZADINA, J. (2003) Rabbit breed standard. Praha: Czech Association of Breeders. 371 pp. (in Czech)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Science ouverte, Intégrité de la recherche
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,792
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,004
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,019
Études des sciences et des technologies0,0010,002
Communication savante0,0000,001
Science ouverte0,0090,003
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,268
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2019
Routes d'admission1
Résumé présentoui

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