Department of Animal Sciences, Universidade Federal de Viçosa, Viçosa, Minas Gerais 36570-900, Brazil; Department of Animal Sciences, Universidade do Estado de Santa Catarina, Chapecó, Santa Catarina 89815-630, Brazil.
Department of Animal Sciences, Universidade Federal de Viçosa, Viçosa, Minas Gerais 36570-900, Brazil.
Animal. 2021 Jan;15(1):100028. doi: 10.1016/j.animal.2020.100028. Epub 2020 Dec 25.
The accurate supply of energy is essential to optimize livestock productivity and profitability. Furthermore, replacing empty BW gain (EBG) with carcass gain (CG) might be a suitable alternative to estimate the retained energy (RE) of beef cattle. Thus, this multi-analysis study was conducted aiming to estimate and validate new equations to predict carcass weight (CW), EBG, and RE of Zebu, beef crossbred, and dairy crossbred. A database composed by 1112 animals encompassing bulls, steers, heifers of different genetic groups (Zebu, beef crossbred, and dairy crossbred), and two types of slaughter plants (commercial and experimental) was used for generating the new CW equation. For the development of the EBG and RE equations, a database of 636 observations composed of bulls, steers, and heifers of different genetic groups (Zebu, beef crossbred, and dairy crossbred) was assembled. The validation of new equations was performed using independent databases composed by 137 observations (80 for CW and 57 for EBG and RE). The new approaches for EBG and RE validation also included data from our research group studies (Inside) and independent data from literature publications (Outside). Furthermore, the new RE equation was compared to the current model devised by the nutritional requirements, diet formulation, and performance prediction of Zebu and crossbred cattle (BR-CORTE, 2016). Validation analyses were performed by using the Model Evaluation System (MES; 3.1.13, College Station, US). The CW was accurately estimated by the new equation when using both commercial and experimental data. Also, the equations developed in this study accurately estimated EBG and RE using both inside and outside data. In conclusion, equations proposed in this study accurately and precisely estimated CW, EBG, and RE of Zebu beef cattle that composed validation data set. Therefore, we suggest the following equations to estimate CW, EBG, and RE of Zebu cattle: CW, kg = -11.0 + P + ((0.609 + G + B) × SBW); EBG (kg) = 0.044 + 1.47 × CG; RE (MJ/d) = 4.184 × (0.082 × EQEBW × CG), where P = slaughter plant effect, if commercial = -10.98, if experimental =0; G = gender effect, if steer = 0, if bull = 0.008169 and if heifer = -0.00612; B = genotype effect, if Zebu = 0, if dairy crossbreds = -0.03301 and if beef crossbreds = -0.01595; SBW = shrunk BW; CG = carcass gain; EQEBW = equivalent empty BW.
准确的能量供应对于优化牲畜的生产力和盈利能力至关重要。此外,用胴体增重(CG)代替空体重增长(EBG)可能是一种合适的替代方法,用于估计肉牛的保留能量(RE)。因此,进行了这项多分析研究,旨在为瘤牛、肉牛杂交种和奶牛杂交种估计和验证新的方程,以预测胴体重(CW)、EBG 和 RE。一个由 1112 头动物组成的数据库,包括来自不同遗传群体(瘤牛、肉牛杂交种和奶牛杂交种)的公牛、阉牛和小母牛,以及两种类型的屠宰场(商业和实验),用于生成新的 CW 方程。为了开发 EBG 和 RE 方程,我们组装了一个由来自不同遗传群体(瘤牛、肉牛杂交种和奶牛杂交种)的公牛、阉牛和小母牛组成的 636 个观测值的数据库。使用由 137 个观测值(80 个用于 CW,57 个用于 EBG 和 RE)组成的独立数据库进行了新方程的验证。新的 EBG 和 RE 验证方法还包括我们研究小组研究(内部)和文献出版物中独立数据(外部)的数据。此外,新的 RE 方程与目前为瘤牛和杂交牛(BR-CORTE,2016)制定的营养需求、日粮配方和性能预测模型进行了比较。使用模型评估系统(MES;3.1.13,美国科勒尔斯普林斯)进行了验证分析。新方程在使用商业和实验数据时,能够准确估计 CW。此外,本研究中开发的方程在使用内部和外部数据时,能够准确估计 EBG 和 RE。总之,本研究提出的方程能够准确和精确地估计 CW、EBG 和 RE 的瘤牛牛肉。因此,我们建议使用以下方程来估计瘤牛的 CW、EBG 和 RE:CW,kg = -11.0 + P + [(0.609 + G + B) × SBW];EBG(kg)= 0.044 + 1.47 × CG;RE(MJ/d)= 4.184 × (0.082 × EQEBW × CG),其中 P = 屠宰场效应,如果商业 = -10.98,如果实验 =0;G = 性别效应,如果是阉牛 = 0,如果是公牛 = 0.008169,如果是小母牛 = -0.00612;B = 基因型效应,如果是瘤牛 = 0,如果是奶牛杂交种 = -0.03301,如果是肉牛杂交种 = -0.01595;SBW = 缩水 BW;CG = 胴体增重;EQEBW = 等效空 BW。