Effects of Glyphosate on Soil Salinization and Alkalization in Cotton Fields

We analyzed the effects of glyphosate to the index of salinization and alkalization by simulation in soils collected from cotton fields in Anyang, Henan and Anqing, Anhui, China, in 2014. The results showed that application of glyphosate changed electrical conductivity (EC), total alkalinity (TAL), exchangeable sodium percentage (ESP), sodium adsorption ratio (SAR) and pH of soil in both regions，compared with the blank control. With increased frequency of glyphosate application and increased concentration applied, all indices increased in the Anqing cotton fields soil which were treated with concentrations of 2.5-20 g·L^－1 . However, EC, TAL and ESP increased dynamically in Anyang soil to which high concentrations of 20 g·L^－1 were applied only four consecutive times. After different glyphosate treatments, the soil pH value showed an upward trend but smaller changes. Therefore, after repeated use of glyphosate to soils of two different region soils, although the changes of all indices were within the range of non-saline and non-sodic soils, the soils affected by salt in the glyphosate aqueous solution tended towards saline-sodic soils.     

番木瓜环斑病毒弱毒株的构建及分析

弱毒株是利用交叉保护防治植物病毒病害的关键限制因子。通过对马铃薯Y病毒属病毒(强、弱毒株)的全长及部分氨基酸序列比对分析,筛选出在亲本强毒株PRSV-LM的P1和HC-Pro基因上的8个可能与致病性相关的氨基酸突变位点(I_(309)、K_(481)、K_(598)、R_(728)、F_(753)、L_(754)、N_(787)和D_(944))。采用定点突变和Gibson拼接法,分别成功构建了4种含有2个突变位点(L_(754)和N_(787))、4个突变位点(I_(309)、K_(481)、F_(753)和D_(944))、6个突变位点(I_(309)、K_(481)、F_(753)、L_(754)、N_(787)和D_(944))和8个突变位点(I_(309)、K_(481)、K_(598)、R_(728)、F_(753)、L_(754)、N_(787)和D_(944))的PRSV-LM全长c DNA侵染性克隆突变体:p Gprsvm~2、p Gprsvm4、p Gprsvm6和p Gprsvm8。经人工接种、病症观察和RT-PCR检测,4种突变体克隆均能系统性侵染非转基因番木瓜植株,除克隆p Gprsvm~2的病症表现与亲本强毒株PRSV-LM一致外,其他多位点突变的克隆p Gprsvm4、p Gprsvm6和p Gprsvm8在番木瓜植株上的病症严重程度出现依次减弱,而克隆p Gprsvm8的病症最弱,且延迟2周发病。本实验初步验证了6个氨基酸突变位点(I_(309)→S、K_(481)→Q、K_(598)→E、F_(753)→L、R_(728)→I和D_(944)→N)与PRSV-LM的病症表现及致病力相关,其中K_(598)→E和R_(728)→I可能是影响致病性的关键位点。     

棉铃虫棉田自然种群变化动态及对天敌观察研究初报

棉铃虫在上世纪80~90年代,在我国多个老棉区严重发生或大暴发,致使棉花生产造成了严重损失。而后棉区迁移至新疆,加上抗虫棉的推广、综合治理措施的落实,有效遏制了棉铃虫的猖獗发生。近几年,在冀南多种作物上又有抬头,并有逐年加重的趋势,为对棉铃虫发生规律研究提出了新课题。     

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.     

我国蔬菜肥料利用率现状与提高对策

我国露地蔬菜种植和设施蔬菜种植养分用量均超过蔬菜生长所需,导致土壤次生盐渍化、肥料利用率低,增加了面源污染风险,在分析这些现状的基础上,对造成蔬菜种植中氮、磷、钾肥料利用率低下的原因进行了分析,如有机肥与化肥施用配比随意性强,搭配不合理;氮、磷、钾肥配施比例不合理;大量元素与中微量元素配合施用不合理;肥料总施用量过大;土壤自身的原因等。并提出了提高肥料利用率的测土与科学配方施肥、有机肥与无机肥合理配合施用、采用水肥一体化技术和土壤调理剂等措施,有望提高我国蔬菜肥料利用率,节约资源,防止面源污染,实现蔬菜生产的可持续绿色发展。     

苹小卷叶蛾在6个苹果品种上的发育与繁殖

为探索不同品种苹果对苹小卷叶蛾生长发育和繁殖的影响,在温度(26±1)℃、相对湿度(80±5)%、光周期L∶D=16 h∶8 h的室内条件下,测定了苹小卷叶蛾在小国光、大国光、红玉、祝光、红星和金帅上的发育历期、存活率和产卵量,并组建了其各自的生命周期表。结果显示,苹小卷叶蛾在6个品种上的发育历期差异显著,全世代发育历期以小国光最短(33.95 d),以红玉最长(39.76 d);平均单雌产卵量以红玉最高(107.24粒),小国光次之(85.00粒);而存活率则无显著差异。生命表参数中净生殖率(R0)、内禀增长率(rm)和周限增长率(λ)均以小国光最高,世代平均周期(T)和种群加倍时间(Dt)以小国光最短,表明6种试验品种中小国光是苹小卷叶蛾最适宜的寄主品种。     

海南省益智产业发展优势、存在问题与对策

为促进海南省益智(Alpinia oxyphylla Miq.)产业的可持续发展,更好地发挥其对地区经济的推动作用,对海南益智产业发展现状开展了调查。分析发现海南益智产业具有资源比较优势明显、市场潜力巨大、产业基础良好等发展潜力和优势,是海南经济结构调整和精准扶贫的首选。指出了海南益智产业发展中存在种苗、种植、品质、市场风险等问题,提出了加强育种、规范化栽培、功能成分提取和产品开发研究,制定相关标准,健全组织保障和资金保障体系,加强市场营销,打响品牌知名度等建议。此研究可为海南益智产业发展提供参考。     

基于耦合协调度的大理河流域径流和输沙关系分析

深入研究流域水沙关系变化是解决黄河流域高质量发展关键问题的重要科学途径之一。自20世纪50年代以来,黄河中游地区实施了大规模的水土保持工程,径流和输沙显著减少,水沙关系发生变化。该研究利用Mann-Kendall趋势检验法分析了1960—2015年来大理河流域的径流输沙变化趋势,并构建基于耦合协调度理论和Pettitt检验方法的径流输沙关系变异诊断方法,识别大理河流域径流和输沙关系的突变点,并通过Copula方法进行验证。结果表明:1)大理河流域径流输沙在月尺度和年尺度呈现显著的下降趋势;2)大理河流域径流和输沙关系在1996年发生显著突变;3)径流输沙关系发生突变后,径流和输沙均明显减少,输沙的减少幅度比径流的减少幅度高29.19个百分点,径流对输沙贡献程度下降幅度为5.10%,单位径流的输沙能力降低;4)淤地坝建设和植被恢复是造成大理河流域水沙变化的主要因素,修建淤地坝和恢复植被对减少泥沙具有积极作用。研究成果可以为进一步深化理解大理河流域水沙关系变化以及水土流失治理提供依据。