1Department of Animal Sciences and Industry,Kansas State University,Manhattan 66506,KS,USA.
2Department of Diagnostic Medicine/Pathobiology,College of Veterinary Medicine,Kansas State University,Manhattan 66506,KS,USA.
Animal. 2018 May;12(5):1022-1029. doi: 10.1017/S1751731117002440. Epub 2017 Oct 11.
Floor space allowance for pigs has substantial effects on pig growth and welfare. Data from 30 papers examining the influence of floor space allowance on the growth of finishing pigs was used in a meta-analysis to develop alternative prediction equations for average daily gain (ADG), average daily feed intake (ADFI) and gain : feed ratio (G : F). Treatment means were compiled in a database that contained 30 papers for ADG and 28 papers for ADFI and G : F. The predictor variables evaluated were floor space (m2/pig), k (floor space/final BW0.67), Initial BW, Final BW, feed space (pigs per feeder hole), water space (pigs per waterer), group size (pigs per pen), gender, floor type and study length (d). Multivariable general linear mixed model regression equations were used. Floor space treatments within each experiment were the observational and experimental unit. The optimum equations to predict ADG, ADFI and G : F were: ADG, g=337.57+(16 468×k)-(237 350×k 2)-(3.1209×initial BW (kg))+(2.569×final BW (kg))+(71.6918×k×initial BW (kg)); ADFI, g=833.41+(24 785×k)-(388 998×k 2)-(3.0027×initial BW (kg))+(11.246×final BW (kg))+(187.61×k×initial BW (kg)); G : F=predicted ADG/predicted ADFI. Overall, the meta-analysis indicates that BW is an important predictor of ADG and ADFI even after computing the constant coefficient k, which utilizes final BW in its calculation. This suggests including initial and final BW improves the prediction over using k as a predictor alone. In addition, the analysis also indicated that G : F of finishing pigs is influenced by floor space allowance, whereas individual studies have concluded variable results.
猪的占地面积对猪的生长和福利有很大的影响。本研究通过荟萃分析使用了 30 篇研究占地面积对育肥猪生长影响的文献中的数据,为平均日增重(ADG)、平均日采食量(ADFI)和增重:采食量比(G:F)开发了替代预测方程。处理平均值在一个数据库中汇总,其中包含 30 篇 ADG 论文和 28 篇 ADFI 和 G:F 论文。评估的预测变量为占地面积(m2/头猪)、k(占地面积/终重的 0.67 次方)、初始体重、终重、饲料空间(每料位的猪数)、水空间(每饮水器的猪数)、群体大小(每栏的猪数)、性别、地板类型和研究长度(天)。使用多变量一般线性混合模型回归方程。每个实验中的占地面积处理是观测和实验单位。预测 ADG、ADFI 和 G:F 的最佳方程为:ADG,g=337.57+(16468×k)-(237350×k^2)-(3.1209×初始 BW(kg))+(2.569×终重 BW(kg))+(71.6918×k×初始 BW(kg));ADFI,g=833.41+(24785×k)-(388998×k^2)-(3.0027×初始 BW(kg))+(11.246×终重 BW(kg))+(187.61×k×初始 BW(kg));G:F=预测 ADG/预测 ADFI。总体而言,荟萃分析表明,即使在计算常数系数 k 后,BW 仍然是 ADG 和 ADFI 的重要预测因子,该系数在其计算中利用终重。这表明,与仅使用 k 作为预测因子相比,同时使用初始体重和终重可以提高预测效果。此外,分析还表明,育肥猪的 G:F 受占地面积的影响,而个别研究得出的结果则有所不同。