Prediction of total digestible nutrient and crude protein requirements according to daily weight gain, and behavioral measurements of Hanwoo heifers

التفاصيل البيبلوغرافية
العنوان: Prediction of total digestible nutrient and crude protein requirements according to daily weight gain, and behavioral measurements of Hanwoo heifers
المؤلفون: Ju Ri Kim, Jun Sik Woo, Youl Chang Baek, Sun Sik Jang, Keun Kyu Park
المصدر: Animal Bioscience. 36:601-608
بيانات النشر: Asian Australasian Association of Animal Production Societies, 2023.
سنة النشر: 2023
مصطلحات موضوعية: General Veterinary, Physiology, Genetics, Animal Science and Zoology, Food Science
الوصف: Objective: This study was conducted to investigate the effects of energy and protein levels in the diet of Hanwoo heifers on growth response and animal behavior.Methods: Forty heifers were randomly allocated into three experimental groups according to the target daily weight gain in 8 pens (T-0.2, 2 replications; T-0.4 and -0.6, 3 replications) based on similar body weight (BW) and age in months. The target average daily gain (ADG) was set at 0.2 (T-0.2), 0.4 (T-0.4), and 0.6 kg/d (T-0.6), and feed was based on National Institute of Animal Science (NIAS, 2017). In order to minimize hunger stress of T-0.2 and -0.4, the feeding ratio of rice straw was set to 55%, 50%, and 45% for T-0.2, -0.4 and T-0.6, respectively, so that the dry matter (DM) intake for all treatment groups was uniform but the energy and protein levels in the diet were adjusted differently. A total of 6 items (lying, standing, eating, rumination, walking and drinking) of animal behavior were analyzed.Results: During the whole period of the experiment, the ADG of the T-0.2, -0.4 and -0.6 treatments were 0.48, 0.56, and 0.65 kg/d (p
تدمد: 2765-0235
2765-0189
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::5e548acb4acc338641073f8cf4875f19Test
https://doi.org/10.5713/ab.22.0387Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........5e548acb4acc338641073f8cf4875f19
قاعدة البيانات: OpenAIRE