乡土物种补播对青藏高原高寒草甸群落稳定性的影响

为了探究高寒草甸天然草地补播乡土物种对草地群落稳定性的影响，本试验以垂穗披碱草（Elymus nutans）、异针茅（Stipa aliena）、中华羊茅（Festuca sinensis）、溚草（Koeleria cristata）、星星草（Puccinellia tenuiflora）、扁蓿豆（Melissitus rutenica）、冷地早熟禾（Poa crymophila）为试验材料，设置5种混播组合，于2017年在青海省贵南县天然草地上进行补播。试验采用方差比率法（Variance ratio，VR）、M.Godron贡献定率法（Contribution law）以及生物量稳定性分析方法，结果表明：5种组合补播后使得群落联结性降低、生物量稳定性增大，群落整体稳定性增强，正向着稳定方向发展；5种组合中，组合D （扁蓿豆+星星草+垂穗披碱草+异针茅+溚草）的生物量稳定性最大，是对草地恢复最有效的物种组合。本试验筛选出了对草地生态修复最有效的物种组合，为草地保护及利用提供了科学依据。     

油菜高亚麻酸育种探析

为促进通过提高油菜种子亚麻酸含量途径增加中国人群亚麻酸的摄入量,提高健康水平的工作进程。结合文献资料,在剖析开展油菜高亚麻酸育种的意义、可行性、难点及可利用的有利条件的基础上,提出油菜高亚麻酸育种策略与技术途径。在工作实践中,陕西省杂交油菜研究中心研究团队创建并完善"油菜高亚麻酸种质的筛选方法",利用该方法开展油菜高亚麻酸种质资源筛选和高亚麻酸育种取得良好成效:油菜种质资源的整体亚麻酸含量、具有较高亚麻酸含量种质的百分比率、亚麻酸含量最高值、亚麻酸含量15%的种质数量均明显增加;获得一批亚麻酸含量大于15%(最高含量达21%)的甘蓝型油菜非转基因种质,育成高亚麻酸的不育系和恢复系;甘蓝型油菜高亚麻酸杂交种‘秦杂油7号’通过国家品种登记;2个亚麻酸含量15%左右的杂交种正在申请品种登记。发现在A02、C02及A06染色体上存在多个与亚麻酸显著关联SNP位点。提出开展基础机理研究和分子设计育种创新体系建设,开展高亚麻酸种质资源创新、综合评价和利用研究,构建高亚麻酸育种体系,规化高效保优栽培技术路线,开展油菜籽加工技术、抗氧化研究,构建标准体系等6方面建议。     

农业大数据的发展现状与发展趋势

介绍了农业大数据的概念和发展现状,阐述了农业大数据理论在农业中的主要应用,分析了农业大数据发展过程中存在的问题,并预测了农业大数据的发展趋势。     

京郊休闲型家庭农场发展创新策略及保障机制

北京郊区具备发展休闲型家庭农场的多种条件,可以通过理性规划,准确定位;注入农耕文化,融于体验;塑造品牌,注重营销的创新发展策略来展开。在此基础上,政府应通过加强引导,提供各种政策保障;调整发展思路,促进农场区域化发展;建立休闲型农场专门人才的培养机制,提升农场主文化与经营水平等一系列保障机制来实现。     

Urban land-use impacts on composition and spatiotemporal variations in abundance and biomass of earthworm community

Soil fauna can sensitively respond to alterations in soil environment induced by land-use changes.However,little is known about the impact of urban land-use changes on earthworm communities.In this study,three land-use types(i.e.,forest,nursery and abandoned lands)were chosen to identify differences in diversity,abundance and biomass of earthworm community in Kunming City.Urban land-use had a pronounced difference in species composition,evenness and diversity of earthworm communities.Forest land had the highest density,biomass and diversity of the earthworm communities.Total abundance was dominated by endogeic species in nursery land(70%)and abandoned land(80%),whereas in the forest land,the earthworm community comprised epigeic,endogeic and anecic species.Temporal changes in earthworm density and biomass were also significantly affected by land-use change.Total density and biomass of earthworms in the forest and nursery lands were highest in September,but highest in the abandoned land in October.The influence of soil physicochemical properties on the earthworm density and biomass also varied with land-use types.Soil temperature significantly affected earthworm density and biomass in the three land-use types.Soil pH was positively correlated with earthworm biomass in the forest land,but negatively associated with earthworm density in the abandoned land.Soil organic matter was positively correlated only with density and biomass of earthworms in the nursery and abandoned lands.Our results suggest that the species composition,abundance and biomass of earthworm communities can be determined by the modification of soil properties associated with urban land-use type.     

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield.Biomass is also a key trait in increasing grain yield by crop breeding.The aims of this study were(i)to identify the best vegetation indices for estimating maize biomass,(ii)to investigate the relationship between biomass and leaf area index(LAI)at several growth stages,and(iii)to evaluate a biomass model using measured vegetation indices or simulated vegetation indices of Sentinel 2A and LAI using a deep neural network(DNN)algorithm.The results showed that biomass was associated with all vegetation indices.The three-band water index(TBWI)was the best vegetation index for estimating biomass and the corresponding R2,RMSE,and RRMSE were 0.76,2.84 t ha−1,and 38.22%respectively.LAI was highly correlated with biomass(R2=0.89,RMSE=2.27 t ha−1,and RRMSE=30.55%).Estimated biomass based on 15 hyperspectral vegetation indices was in a high agreement with measured biomass using the DNN algorithm(R2=0.83,RMSE=1.96 t ha−1,and RRMSE=26.43%).Biomass estimation accuracy was further increased when LAI was combined with the 15 vegetation indices(R2=0.91,RMSE=1.49 t ha−1,and RRMSE=20.05%).Relationships between the hyperspectral vegetation indices and biomass differed from relationships between simulated Sentinel 2A vegetation indices and biomass.Biomass estimation from the hyperspectral vegetation indices was more accurate than that from the simulated Sentinel 2A vegetation indices(R2=0.87,RMSE=1.84 t ha−1,and RRMSE=24.76%).The DNN algorithm was effective in improving the estimation accuracy of biomass.It provides a guideline for estimating biomass of maize using remote sensing technology and the DNN algorithm in this region.     

供应链金融视角下木材加工产业的发展路径优化策略

木材加工企业的发展离不开金融机构的有效支持,当这种支持上升到一定高度时,整个木材加工产业也会处于金融服务机构的供应链管理范畴。供应链金融管理能力的强弱,将直接影响到木材加工企业的生产经营。介绍了供应链金融内容与特征,探讨了供应链金融视角下木材加工产业应规避的问题,在此基础上,提出了供应链金融视角下木材加工产业发展路径优化策略。     

春季低温对小麦颖果发育的影响

为了探明春季低温（倒春寒）导致小麦减产的细胞学机理，以扬麦15为材料，在小麦幼穗处于雌雄蕊分化期至药隔期之间时，设置-3 ℃低温处理，通过树脂半薄切片对颖果不同发育时期的形态结构进行观察。结果表明：（1）在颖果发育早期，低温促进了颖果的长度生长，抑制了宽度生长；与对照相比，低温处理组小麦颖果发育进程缩短；（2）低温处理组颖果果皮发育早，中果皮降解速度快；（3）低温处理增加了胚乳淀粉体的积累量，降低了蛋白体的积累量，发育后期胚乳充实度显著低于对照组；（4）与对照相比，低温处理后颖果韧皮部面积和珠心突起传递细胞面积增大。以上结果表明，春季低温处理更有利于养分运输组织的发育，使得灌浆时间缩短，最终导致淀粉积累量增加及颖果早熟。