Kerr Brian J, Wilson Victoria C, Zhang Junwei, Chen Chi
USDA-ARS-National Laboratory for Agriculture and the Environment, Ames, IA 50011, USA.
Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf015.
Feeding pigs lipids containing high levels of lipid oxidation products (LOP) has been shown to reduce growth performance, but data is lacking on quantitative relationships between LOP and pig growth, feed intake, and feed efficiency. Four experiments (EXP) were conducted using soybean oil (SO) in EXP 1, 2, and 3, as well as SO, choice white grease and palm oil (PO) in EXP 4, to evaluate the impact of feeding diets containing different amounts of LOP on pig performance. Lipid peroxidation was carried out using variable heating temperatures and durations to generate lipids with a broad range of peroxide (PV, mEq) and anisidine value (AnV, unitless). Lipids were added to the diets at 10%, 10%, 8%, and 7.5% for EXP 1, 2, 3, and 4, respectively, with dietary PV and AnV calculated using lipid peroxidation concentrations of PV and AnV times the dietary lipid inclusion rate. Within each experiment, pig performance (6.2 to 13.4 kg, EXP 1; 13.5 to 23.7 kg, EXP 2; 20.3 to 36.9 kg, EXP 3; 29.6 to 44.1 kg, EXP 4) was affected differently depending on dietary PV and AnV concentrations. Using the control-fed pigs within each experiment as a baseline of 100%, correlations of pooled relative pig performance data (dependent variables of ADG, ADFI, and GF) from EXP 1, 2, 3, and 4 with their respective dietary LOP values (independent variables of dietary PV and AnV due their ability to be measured commercially) resulted in significant (P ≤ 0.01) regression equations for relative ADG [ADG, % = 101.2 - [(0.321 × PV) + (1.019 × AnV)], R2 = 0.81], ADFI [ADFI, % = 100.8 - [(0.320 × PV) + (0.629 × AnV)], R2 = 0.68], and GF [GF, % = 101.3 - [(0.016 × PV) + (0.525 × AnV)], R2 = 0.70], albeit PV was not a significant regression coefficient in the GF model (P = 0.90). This data shows that the values of primary and secondary LOP (i.e., PV and AnV, respectively) could be effectively used in predicting the effect of feeding oxidized lipids on growth, feed intake, and feed efficiency in growing pigs.
已表明给猪饲喂含有高水平脂质氧化产物(LOP)的脂质会降低生长性能,但缺乏关于LOP与猪生长、采食量和饲料效率之间定量关系的数据。进行了四项试验(EXP),试验1、2和3使用大豆油(SO),试验4使用SO、精选白油脂和棕榈油(PO),以评估饲喂含有不同量LOP的日粮对猪性能的影响。利用不同的加热温度和持续时间进行脂质过氧化反应,以生成具有广泛过氧化物值(PV,毫当量)和茴香胺值(AnV,无量纲)的脂质。脂质分别以10%、10%、8%和7.5%的比例添加到试验1、2、3和4的日粮中,日粮PV和AnV通过脂质过氧化反应中PV和AnV的浓度乘以日粮脂质添加率来计算。在每个试验中,猪的性能(试验1中6.2至13.4千克;试验2中13.5至23.7千克;试验3中20.3至36.9千克;试验4中29.6至44.1千克)因日粮PV和AnV浓度的不同而受到不同影响。以每个试验中对照饲喂的猪作为100%的基线,试验1、2、3和4中合并的相对猪性能数据(ADG、ADFI和GF的因变量)与其各自日粮LOP值(日粮PV和AnV的自变量,因其可通过商业手段测量)的相关性得出了相对ADG [ADG,% = 101.2 - [(0.321×PV) + (1.019×AnV)],R2 = 0.81]、ADFI [ADFI,% = 100.8 - [(0.320×PV) + (0.629×AnV)],R2 = 0.68]和GF [GF,% = 101.3 - [(0.016×PV) + (0.525×AnV)],R2 = 0.70]的显著(P≤0.01)回归方程,尽管PV在GF模型中不是显著的回归系数(P = 0.90)。该数据表明,初级和次级LOP的值(即分别为PV和AnV)可有效用于预测饲喂氧化脂质对生长猪生长、采食量和饲料效率的影响。