微胶囊技术及其在食品工业中的应用研究

利用微胶囊技术,可以解决传统工艺所不能解决的众多问题,生产出多种高新产品,且具有良好的功能性质和贮存稳定性。介绍微胶囊技术的特点,壁材、芯材的类型,制备方法、原理,以及其在饮料工业、乳制品、糖果、食品添加剂以及焙烤食品中的应用。     

旅游产业与文化产业融合的动力系统研究

旅游与文化具有共同的融合基因，旅游产业与文化产业融合的动力机制与融合路径是指导两者融合的重要理论基础。从产业融合的推力、拉力、支持力和阻力四个层面构建旅游产业与文化产业融合的动力模型，并依照旅游和文化双方经营主体在跨界资源重组中的角色与融合深度，提出旅游产业与文化产业融合的四种路径：整合融合、吸纳融合、渗透融合和重组融合。     

基于层次分析法的食用菌产业扶贫绩效评价

特色产业扶贫是一种创新式的扶贫模式,通过扶持贫困地区发展地方特色产业脱贫致富。食用菌营养丰富,销售市场前景乐观,也响应了我国绿色环保节能的理念,成为最具优势的产业发展趋势。辽宁省某地区作为我国脱贫攻坚战的重点地区,利用食用菌产业不断优化自身的农业结构,助力当地脱贫致富。对该地区的食用菌产业扶贫绩效进行了具体分析和评价。     

食用菌产业发展对农业循环经济的影响

针对我国食用菌产业发展对农业循环经济的影响问题,提出了食用菌产业转变生产方式、实施专业化分工协作,以节约经济运行成本;在分析成本效益的基础上,建立了食用菌产业发展的影响因素评价体系,对农业循环经济发展过程中的多种复杂影响因素进行科学评价,重点评价了经济发展的可持续性、经济性和环保性三个影响因素。该评价体系对我国食用菌产业发展对农业循环经济的影响因素做出科学的评价,能够辅助相关政府部门进行经济决策。     

互联网订单模式与食用菌产业融合的可行性发展

系统阐述了互联网订单生产模式在我国食用菌产业中实施的可行性。首先从我国目前食用菌产业的低成本生产现状分析了订单生产的战略可行性;其次从食用菌产业的国际环境和互联网科技的发展方面分析了发展订单式生产的有利因素,提出了创新食用菌产业订单模式的一些建议。指出了巩固订单模式实践效果应注意的若干问题。对促进我国食用菌产业创新发展模式提供了借鉴。     

食用菌企业并购与增强市场竞争力分析

食用菌企业能否通过龙头企业进行并购重组,调整产能过剩,解决产业集中度低,技术水平低和科研创新能力低的问题,从而激发市场的竞争活力,提升食用菌产业的规模结构,提高企业管理效率,迅速实现食用菌产业的转型升级。为此,通过分析食用菌市场的发展现状,龙头企业的运行模式,企业并购的现实因素等方面来总结龙头企业进行并购的积极影响,以期能为食用菌产业的技术进步和规模扩大提出建设性的意见,促进食用菌产业的高质量发展。     

中国草种业标准现状分析

草种子不仅是草业与畜牧业的基石，还是生态文明建设以及城镇景观绿化的重要载体。我国虽是草地资源和草种子利用大国，但却是草种业弱国。标准化是推动草种业快速高质量发展的关键，历经30多年的不懈努力，我国的草种业标准化也取得了积极的进展，但是目前的草种业标准体系还处于混沌状态，缺乏系统的梳理。为了进一步加强和完善我国草种业标准体系构建，推动草种业高质量发展，本文尽可能详细地检索和筛选草种业的现行标准，从种质资源、生产加工、质量检验、包装、贮藏和运输，播种5个方面进行梳理。在此基础上分析了现行标准体系的薄弱之处，提出了需要更新以及尚需制定标准的建议，为草种业标准的制定者和应用者提供服务和便利，为草种业标准体系的完善提供参考。     

Association analysis for detecting significant single nucleotide polymorphisms for phosphorus-deficiency tolerance at the seedling stage in soybean [Glycine max (L) Merr.]

Tolerance to low-phosphorus soil is a desirable trait in soybean cultivars. Previous quantitative trait locus (QTL) studies for phosphorus-deficiency tolerance were mainly derived from bi-parental segregating populations and few reports from natural population. The objective of this study was to detect QTLs that regulate phosphorus-deficiency tolerance in soybean using association mapping approach. Phosphorus-deficiency tolerance was evaluated according to five traits (plant shoot height, shoot dry weight, phosphorus concentration, phosphorus acquisition efficiency and use efficiency) comprising a conditional phenotype at the seedling stage. Association mapping of the conditional phenotype detected 19 SNPs including 13 SNPs that were significantly associated with the five traits across two years. A novel cluster of SNPs, including three SNPs that consistently showed significant effects over two years, that associated with more than one trait was detected on chromosome 3. All favorable alleles, which were determined based on the mean of conditional phenotypic values of each trait over the two years, could be pyramided into one cultivar through parental cross combination. The best three cross combinations were predicted with the aim of simultaneously improving phosphorus acquisition efficiency and use efficiency. These results will provide a thorough understanding of the genetic basis of phosphorus deficiency tolerance in soybean.     

中国菠萝产业市场定位及拓展策略研究

菠萝是中国重要的热带农业经济作物，但近几年来受国际市场冲击严重。整个产业链资源配置并不合理，致使中国菠萝市场定位仍存在严重局限性。销售终端多集中在国内市场的鲜食部分，菠萝初加工处于萌芽发展阶段，精深加工更有待市场验证。从差异化、动态和目标营销角度对中国菠萝产业市场定位进行分析，并提出市场拓展战略。     

Soil property differences among high‐ and average‐yielding soya bean areas in Arkansas,USA

Soya bean [Glycine max (L.) Merr] yields >6719 kg/ha (100 bu/ac) have only recently and infrequently been achieved. Quantifying soil property differences between high‐ and average‐yielding areas can help to further identify non‐plant‐related properties contributing to soya bean yield potential. The objective of this study was to evaluate the effects of region and soil depth on soil property differences between high‐ and average‐yielding areas. In each of the seven regions of the ‘Grow for the Green’ yield contest in Arkansas, prior to or just after harvest in 2014 and 2015, soil samples were collected from the top 20 cm of one contest high‐yield (HY ) area that was in close proximity to an average‐yield (AY ) area. Across all regions and both years, soya bean yields differed (P  <  0.05) between yield areas, averaging 4701 and 5498 kg/ha in AY and HY areas, respectively. Averaged across soil depth and years, numerous soil properties differed (P  <  0.05) between HY and AY areas within at least one of seven regions. Total soil C content was at least 20.2% greater in the HY than in the AY area in three of seven regions. Extractable soil P content was, on average, 19.4 kg/ha greater in HY than in AY areas in three of the seven regions. Results from this study have the potential to help producers better understand soil properties that contribute to or hinder achieving ultra‐high (>6719 kg/ha) soya bean yields.