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1.
瘤胃微生物在木质纤维素价值化利用的研究进展 总被引:1,自引:0,他引:1
瘤胃是反刍动物消化的第一个腔室,各种微生物(细菌、真菌和原生动物)相互作用将木质纤维素植物生物降解为易于代谢的化合物。瘤胃也是目前自然界公认的木质纤维素高效降解和利用的天然反应器,其真菌和细菌可分泌多种木质纤维素降解酶,在木质纤维素生产生物燃料和化学用品方面具有潜在的价值。因此,本研究在瘤胃内木质纤维降解的微生物及其降解木质纤维素相关酶的基础上,重点综述了瘤胃微生物在木质纤维素生物转化为乙醇、生物化学(有机酸)及沼气等方面的研究进展,旨在为瘤胃微生物和瘤胃酶在木质纤维素价值化利用方面的研究和应用提供新的方法和思路。 相似文献
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Abstract – Foraging juvenile fish with relatively high food demands are usually vulnerable to various aquatic and avian predators. To compromise between foraging and antipredator activity, they need exact and reliable information about current predation risk. Among direct predator-induced cues, visual and olfactory signals are considered to be most important. Food intake rates and prey-size selectivity of laboratory-reared, naive young-of-the-year (YOY) perch, Perca fluviatilis , were studied in experiments with Daphnia magna of two size classes: 2.8 and 1.3 mm as prey and northern pike, Esox lucius , as predator. Neither total intake rate nor prey-size selectivity was modified by predator kairomones alone (water from an aquarium with a pike was pumped into the test aquaria) under daylight conditions. Visual presentation of pike reduced total food intake by perch. This effect was significantly more pronounced (synergistic) when visual and olfactory cues were presented simultaneously to foraging perch. Moreover, the combination of cues caused a significant shift in prey-size selection, expressed as a reduced proportion of large prey in the diet. Our observations demonstrate that predator-induced olfactory cues alone are less important modifiers of the feeding behaviour of naive YOY perch than visual cues under daylight conditions. However, pike odour acts as a modulatory stimulus enhancing the effects of visual cues, which trigger an innate response in perch. 相似文献
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评价适合选育加工型马铃薯品种的杂交组合 总被引:1,自引:0,他引:1
中国马铃薯的种植面积和产量均占世界首位,随着人们生活水平的提高和饮食结构的改善,以及外资企业在中国的纷纷建厂,对食品加工型马铃薯品种的市场需求日益增加,食品加工型马铃薯品种的培育已成为当务之急。本文根据食品加工型马铃薯品种的6项选育指标(炸制品质、薯形、产量、大中薯率、抗病性、熟期),对14个马铃薯杂交组合进行单个指标的评价和组合的级别评价,最终确定组合F81109×B5141-6、B5141-6×F58050、F67128×F61101、F49013×F61101、F71002×F59103可作为选育食品加工型马铃薯品种比较有前景的杂交组合。 相似文献
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转基因食品的检测方法 总被引:8,自引:0,他引:8
目前,世界各国对转基因食品的检测主要从外源DNA和蛋白两种生物大分子入手,所广泛采用的方法有聚合酶链式反应(PCR)、生物芯片技术(Biochips)、酶联免疫吸附测定(ELISA)和侧流技术(Lateral Flow)。本文综述了各种方法的原理以及这些方法用于检测转基因食品时的优缺点。 相似文献
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Prediction of chemical composition and peroxide value in unground pet foods by near‐infrared spectroscopy 下载免费PDF全文
M. De Marchi F. Righi M. Meneghesso D. Manfrin R. Ricci 《Journal of animal physiology and animal nutrition》2018,102(1):337-342
The massive development of the pet food industry in recent years has lead to the formulation of hundreds of canine and feline complete extruded foods with the objective of meeting both the needs of the animals and numerous demands from pet owners. In the meantime, highly variable raw material compositions and the industry's new production techniques oblige manufacturers to monitor all phases of the extrusion process closely in order to ensure the targeted composition and quality of the products. This study aimed at evaluating the potential of infrared technology (visible and near‐infrared spectrophotometer; 570–1842 nm) in predicting the chemical composition and peroxide value (PV) of unground commercial extruded dog foods. Six hundred and forty‐nine commercial extruded dog foods were collected. For each product, an unground aliquot was analysed by infrared instrument while a second aliquot was sent to a laboratory for proximate analysis and PV quantification. The wide range of extruded dog food typologies included in the study was responsible for the wide variability observed within each nutritional trait, especially crude fibre and ash. The mean value of the 208 pet foods sampled for PV quantification was 17.49 mEq O2/kg fat (min 2.2 and max 94.10 mEq O2/kg fat). The coefficients of determination in cross‐validation of NIRS prediction models were 0.77, 0.97, 0.83, 0.86, 0.78 and 0.94 for moisture, crude protein, crude fat, crude fibre, ash and nitrogen‐free extract (NFE) respectively. PV prediction was less precise, as demonstrated by the coefficient of determination in cross‐validation (0.66). The results demonstrated the potential of NIRS in predicting chemical composition in unground samples, with lower accuracy for moisture and ash, while PV prediction models suggest use for screening purposes only. 相似文献