Meale Sarah J, Morgavi Diego P, Cassar-Malek Isabelle, Andueza Donato, Ortigues-Marty Isabelle, Robins Richard J, Schiphorst Anne-Marie, Migné Carole, Pétéra Mélanie, Laverroux Sophie, Graulet Benoit, Boudra Hamid, Cantalapiedra-Hijar Gonzalo
Université Clermont Auvergne, INRA , VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, CNRS-University of Nantes UMR6230 , B.P. 92208, F-44322 Nantes, France.
J Agric Food Chem. 2017 Nov 15;65(45):9817-9827. doi: 10.1021/acs.jafc.7b03503. Epub 2017 Nov 1.
The efficiency with which ruminants convert feed to desirable products is difficult to measure under normal commercial settings. We explored the use of potential biological markers from easily obtainable samples, that is, blood, hair, and feces, to characterize potential causes of divergent efficiency when considered as residual feed intake (RFI) or feed conversion efficiency (FCE). A total of 54 Charolais bulls, 20 in period 1 and 34 in period 2, were examined for individual dry matter intake (DMI) and growth. Bulls were offered a diet of 70:30 wrapped grass silage to concentrate for 99 d. At the conclusion of the test period, blood samples were collected for the determination of vitamins B and B, and plasma used for the determination of metabolites, natural isotopic N abundance (N NIA, expressed as δN ‰) and fractionation (ΔN and ΔC) and near-infrared spectroscopy (NIRS). Feces were analyzed by NIRS. Bulls were slaughtered at 15-17 months of age and carcass characteristics determined. Bulls were ranked according to RFI with extremes (SD ± 0.5; n = 31) classified as either efficient (Neg-RFI) or inefficient (Pos-RFI). Extreme bulls were then classified for FCE (high vs low FCE), changing the groups. Pos-RFI bulls consumed 14% more feed than Neg-RFI bulls for the same level of weight gain. Low FCE bulls tended to eat more, but had lower weight gains than high FCE bulls. No differences were detected in carcass conformation, fat scores, hot carcass weight, or dressing percentage. Yet, heart and bladder weights were heavier in Pos-RFI, and rumen weight tended to be heavier in Pos-RFI bulls. RFI did not affect bulk N or C fractionation. A negative correlation was observed between FCE and ΔN. Inefficient bulls (Pos-RFI) had higher δN in glycine compared to Neg-RFI bulls. Similarly, metabolomic analysis showed a tendency for concentrations of glycine and sarcosine to be elevated in Pos-RFI bulls, whereas aspartic acid and carnosine tended to be elevated, and serine tended to be lower in High FCE. Among vitamins, only flavin adenine dinucleotide concentration was higher in the blood of bulls with High FCE. These results suggest that the two feed efficiency metrics differ in the underlying mechanisms of metabolism, where RFI is driven by differences in the energetic requirements of visceral organs and the extent of AA catabolism.
在正常商业环境下,反刍动物将饲料转化为理想产品的效率很难衡量。我们探索了使用易于获取的样本(即血液、毛发和粪便)中的潜在生物标志物,来表征在被视为剩余采食量(RFI)或饲料转化效率(FCE)时效率差异的潜在原因。总共54头夏洛来公牛,第1阶段20头,第2阶段34头,对其个体干物质采食量(DMI)和生长情况进行了检查。给公牛提供70:30的裹包青贮草与精料的日粮,持续99天。在试验期结束时,采集血样用于测定维生素B和B,血浆用于测定代谢物、天然同位素氮丰度(N NIA,以δN‰表示)和分馏(ΔN和ΔC)以及近红外光谱(NIRS)。粪便通过NIRS进行分析。公牛在15 - 17月龄时屠宰,并测定胴体特征。根据RFI对公牛进行排名,极端个体(标准差±0.5;n = 31)被分类为高效(负RFI)或低效(正RFI)。然后根据FCE(高FCE与低FCE)对极端公牛进行分类,从而改变分组。在相同体重增加水平下,正RFI公牛比负RFI公牛多消耗14%的饲料。低FCE公牛往往吃得更多,但体重增加比高FCE公牛少。在胴体形态、脂肪评分、热胴体重或屠宰率方面未检测到差异。然而,正RFI公牛的心脏和膀胱重量更重,瘤胃重量在正RFI公牛中也往往更重。RFI不影响总氮或碳分馏。观察到FCE与ΔN之间呈负相关。与负RFI公牛相比,低效公牛(正RFI)甘氨酸中的δN更高。同样,代谢组学分析表明,正RFI公牛中甘氨酸和肌氨酸的浓度有升高趋势,而高FCE中天门冬氨酸和肌肽有升高趋势,丝氨酸有降低趋势。在维生素中,只有高FCE公牛血液中的黄素腺嘌呤二核苷酸浓度更高。这些结果表明,这两种饲料效率指标在代谢的潜在机制上存在差异。其中,RFI由内脏器官的能量需求差异和氨基酸分解代谢程度驱动。