Estimation of bone mineral density and breaking strength of laying hens based on scans of computed tomography for body composition analysis

التفاصيل البيبلوغرافية
العنوان: Estimation of bone mineral density and breaking strength of laying hens based on scans of computed tomography for body composition analysis
المؤلفون: Á. Csóka, Tamás Donkó, Ö. Petneházy, Miklós Emri, György Kovács, J. Tossenberger, R. Garamvölgyi, G. Bajzik, V. Halas, A. Tischler, A. Szabó
المصدر: British Poultry Science. 59:365-370
بيانات النشر: Informa UK Limited, 2018.
سنة النشر: 2018
مصطلحات موضوعية: 0301 basic medicine, Materials science, Bone density, Computed tomography, Composition analysis, Tarsus, Animal, Breaking strength, 03 medical and health sciences, chemistry.chemical_compound, Bone Density, medicine, Animals, Bone mineral, Minerals, Tibia, medicine.diagnostic_test, Reproduction, 0402 animal and dairy science, Total body, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, 030104 developmental biology, Bone ash, chemistry, Body Composition, Female, Animal Science and Zoology, Tomography, Tomography, X-Ray Computed, Chickens, Food Science, Biomedical engineering
الوصف: 1. The objective of this study was to evaluate the prediction potential of a computer tomography (CT) data collection protocol for determining total body composition used for analysis of tibiotarsal bone quality features. 2. The CT image acquisition was performed on 54 healthy TETRA SL genotype laying hens at 90 weeks of age as well as in the 69th week of the egg production period in vivo and their tibiotarsal bones, ex vivo. 3. Breaking strengths and ash content of the tibiotarsal bones were estimated based on the calculated mineral density of skeletal and tibiotarsal bones by means of CT with an estimation accuracy R
تدمد: 1466-1799
0007-1668
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf79a571f8a4aadbc2c31371b4ada2e
https://doi.org/10.1080/00071668.2018.1471662
رقم الأكسشن: edsair.doi.dedup.....3bf79a571f8a4aadbc2c31371b4ada2e
قاعدة البيانات: OpenAIRE