Regulatory effects of high concentrate diet synergistically fermented with cellulase and lactic acid bacteria: In vitro ruminal fermentation, methane production, and rumen microbiome
Haokai Ma, Ao Dong, Yiou Xu, Qinghua Wu, Modinat Tolani Lambo, Yonggen Zhang, Xiujing Dou, Yang Li
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引用次数: 0
Abstract
This study aimed to investigate, using in vitro technique and high-throughput sequencing, the regulatory effect of fermented total mixed ration (FTMR) prepared using synergistic fermentation of lactic acid bacteria (LABs) and cellulase on rumen fermentation, methane emission, and rumen microbiome. The concentrate-to-forage ratio of the TMR was 6: 4, net energy was 1.66 Mcal (for lactating cows), and metabolizable energy and protein allowable milk yield predictions were 36.3 kg or 37.6 kg from Cornell-Penn-Miner dairy model (CPM dairy). The LABs (106 colony-forming units (cfu)/g, Lactobacillus buchneri and Lactobacillus plantarum, at a ratio 1:1) and 1 g fibrolytic enzyme (10,000 U/g activity) per fresh matter were used for ensiling the TMR. The results show that the synergistic fermentation of cellulase and lactic acid bacteria reduces the proportions of structural carbohydrate, neutral detergent insoluble protein, and acid detergent insoluble protein in high concentrate diet while increasing the proportions of crude protein, soluble protein, and non-protein nitrogen. The FTMR with LABs and cellulase addition diet had higher ammonia nitrogen, acetic acid, lactic acid contents, and lower pH than TMR. Also, the in situ effective degradation rate of neutral detergent fiber, dry matter, and crude protein was elevated. At the same time, the abundance of lactic acid bacteria was improved when LABs and cellulase were added to FTMR. The in vitro experiments showed that synergistic fermentation increased the proportion of propionic acid (26.47 vs 22.39, P = 0.0166) and ammonia nitrogen concentration (12.25 vs 10.24, P = 0.0144) and reduced ruminal pH (6.56 vs 6.68, P = 0.0249). In addition, the proportion of acetic acid (60.34 vs 66.38, P = 0.0059) and the ratio of acetic acid to propionic acid concentration (2.29 vs 2.97, P = 0.0077) was lowered when FTMR was prepared by LABs and cellulase addition. Fermented total mixed ration with LABs and cellulase changed the rumen fermentation pattern and reduced methane production (184.33 ml vs 219.38 ml, P = 0.0003) by regulating in vitro ruminal bacteria's abundance and the diversity of protozoa and methanogens. Therefore, for a high-concentrate diet, adopting a fermented total mixed ration technology with LABs and cellulase addition is a clean option that could help reduce greenhouse gas production and protect the environment.
本研究旨在利用体外技术和高通量测序技术,研究乳酸菌和纤维素酶协同发酵制备的发酵总混合日粮(FTMR)对瘤胃发酵、甲烷排放和瘤胃微生物群的调节作用。TMR的精粗比为6:4,净能为1.66 Mcal(哺乳期奶牛),代谢能和蛋白质允许产奶量预测值分别为36.3 kg和37.6 kg。采用实验室(106菌落形成单位(cfu)/g,布氏乳杆菌和植物乳杆菌,比例为1:1)和1 g纤维裂解酶(10,000 U/g活性)/新鲜物质青贮TMR。结果表明,纤维素酶和乳酸菌协同发酵降低了高精料饲粮中结构碳水化合物、中性洗涤不溶蛋白和酸性洗涤不溶蛋白的比例,提高了粗蛋白质、可溶性蛋白质和非蛋白氮的比例。试验组和添加纤维素酶组的FTMR饲粮的氨氮、乙酸、乳酸含量高于TMR, pH值低于TMR。同时提高了中性洗涤纤维、干物质和粗蛋白质的原位有效降解率。同时,在FTMR中添加LABs和纤维素酶可提高乳酸菌的丰度。体外实验表明,协同发酵提高了丙酸比例(26.47 vs 22.39, P = 0.0166)和氨氮浓度(12.25 vs 10.24, P = 0.0144),降低了瘤胃pH (6.56 vs 6.68, P = 0.0249)。此外,通过实验室和添加纤维素酶制备FTMR,降低了乙酸的比例(60.34 vs 66.38, P = 0.0059)和乙酸与丙酸浓度之比(2.29 vs 2.97, P = 0.0077)。实验室和纤维素酶发酵总混合日粮通过调节体外瘤胃细菌丰度和原生动物及产甲烷菌多样性,改变瘤胃发酵模式,降低甲烷产量(分别为184.33 ml和219.38 ml, P = 0.0003)。因此,对于高精料日粮,采用发酵全混合日粮技术和添加纤维素酶是一种清洁的选择,有助于减少温室气体的产生,保护环境。
期刊介绍:
Animal Feed Science and Technology is a unique journal publishing scientific papers of international interest focusing on animal feeds and their feeding.
Papers describing research on feed for ruminants and non-ruminants, including poultry, horses, companion animals and aquatic animals, are welcome.
The journal covers the following areas:
Nutritive value of feeds (e.g., assessment, improvement)
Methods of conserving and processing feeds that affect their nutritional value
Agronomic and climatic factors influencing the nutritive value of feeds
Utilization of feeds and the improvement of such
Metabolic, production, reproduction and health responses, as well as potential environmental impacts, of diet inputs and feed technologies (e.g., feeds, feed additives, feed components, mycotoxins)
Mathematical models relating directly to animal-feed interactions
Analytical and experimental methods for feed evaluation
Environmental impacts of feed technologies in animal production.