辽宁省自然保护地空间分布格局与重叠现状分析

  目的  通过对辽宁省自然保护地重叠现状进行定性与定量的分析，描述辽宁省6类235处自然保护地空间分布情况与重叠现状及特征，由此对辽宁省自然保护地空间分布格局现状进行评价，为辽宁省自然保护地的整合优化提供科学参考与理论依据。  方法  利用最邻近指数分析与核密度分析，评价辽宁省自然保护地空间分布现状，同时提出了自然保护地镶嵌体的概念，通过分析镶嵌体内部的重叠板块占比情况，对辽宁省自然保护地重叠现状进行定性与定量的分析，相较于传统重叠率分析方法，为分析一个区域内多层重叠的情况我们提出了自然保护地多元重叠率计算方法。  结果  （1）辽宁省自然保护地的最邻近比率为0.904，表明辽宁省自然保护地分布属聚集型分布；（2）结合自然保护综合地理区划，辽宁省自然保护地主要形成4个聚集区域；（3）辽宁省自然保护地存在重叠情况的自然保护地数量占自然保护地总数的50.43%，重叠面积占辽宁省自然保护地的8.63%。重叠情况主要发生在自然保护区与自然公园之间，数量共107处，面积达134 421.1 hm2；（4）辽宁省存在重叠的斑块中两层重叠82处、三层重叠13处、四层重叠1处；（5）辽宁省可划分为36个自然保护地镶嵌体，其中内部重叠率高于50%的保护地镶嵌体有8处，最高为81.34%；低于10%的保护地镶嵌体有6个，最低为1.82%。  结论  将重叠保护地进行整合优化时，镶嵌体重叠率过高代表保护服务功能与划定保护范围过剩，整合时对于这种情况所涉及的保护地建议以合并为主。下一步对于计划新建自然保护地应将现有保护服务力度较低或中等区域进行补充完善，将如辽东半岛阔叶落叶林与湿地区南部的沿海陆域利用起来。在解决重叠与地质遗迹等情况后确保保护等级不下降，保证保护力度与保护效率。      

马铃薯致病疫霉拮抗细菌研究进展

为了解决马铃薯致病疫霉侵染马铃薯导致其死亡,进而造成马铃薯单位种植产量低的问题。本文从拮抗菌入手,归纳分析细菌类拮抗菌中的主要拮抗菌中芽孢杆菌、假单胞菌和粘细菌对马铃薯致病疫霉的抑制作用。同时,在总结前人研究的基础上,笔者认为在拮抗菌应用方面,可以采用多对一的新型平板对峙筛菌模式来模拟复杂条件下拮抗菌的拮抗作用,以期得到稳定的拮抗菌;并指出应从定植能力和根际微生物影响方面对拮抗菌实际应用的可行性进行研究;此外,提出未来对拮抗菌抑制马铃薯致病疫霉的探究应从表型层面的研究深入到分子层面,以期能成功从源头找寻抑制马铃薯致病疫霉的答案。     

不同氮效率油菜种质苗期氮吸收转运与利用差异研究

氮效率研究是油菜营养性状遗传改良的前提,为探究不同氮效率油菜种质苗期氮吸收、转运和利用的异同,以2个氮效率差异油菜种质H6（氮高效）和L18（氮低效）为供试材料,利用水培营养液设置正常氮（CK）和低氮（LN）2个氮浓度处理,培养14d后检测植株氮含量,计算氮累积量、氮转运系数和氮利用效率。结果显示,不同氮浓度处理对油菜苗期氮的吸收、转运和利用效率影响的差异达到极显著水平（P＜0.01）。与CK相比,LN处理的油菜生物量、氮含量和氮累积量均显著降低,而氮利用效率和根冠比显著提高;氮高效油菜种质H6的生物量、氮累积量、氮转运系数和氮生理利用效率均显著大于氮低效种质L18,分别为L18的2.07、1.42、3.23和1.56倍。从氮的吸收、转运和利用3个方面探讨了低氮胁迫处理下油菜种质苗期氮效率差异的原因,对深入开展油菜氮高效机理研究及油菜品种氮效率改良具有一定的指导意义。     

新时代省级农业科学院信息公开调查研究

以省级农业科学院为研究对象,在深入调查研究省级农业科学院信息公开的现状后,分析了省级农业科学院信息公开方面存在的问题和不足,提出了进一步提高信息公开思想认识、优化公开平台建设、规范信息公开内容、健全信息公开长效机制等对策建议,以期为新时代省级农业科学院信息公开标准化规范化建设提供参考.     

基于卷积神经网络的玉米病害识别方法研究

为解决传统的玉米病害识别方法中特征提取主观性强及误识率高的问题,提出利用卷积神经网络对玉米病害进行识别。以玉米病害图像和健康图像共5种类别的玉米图像为研究对象,并采用LeNet模型进行试验。首先,按照8∶2的比例为每种玉米病害图像选择训练集和测试集。然后,通过试验组合和对比分析的方法比较不同卷积神经网络结构设置对准确率的影响,选出最佳参数。另外,选用Adam算法代替SGD算法来优化模型,通过指数衰减法调整学习率,将L2正则项添加到交叉熵函数中,并选择Dropout策略和ReLU激励函数。最后,确定了一个10层CNN网络结构。试验结果显示,玉米花叶病、灰斑病、锈病、叶斑病和玉米健康识别率分别为95.83%、90.57%、100%、93.75%、100%,平均识别率达96%,平均计算时间为0.15 s。经试验结果比较,该模型识别效果明显高于传统方法,为玉米病害的防治提供技术支持。     

河南省农业干旱脆弱性分析

为减轻旱灾损失,根据2005、2015年河南省统计与气象数据,采用10项指标和灰色关联分析法,以最劣值为参照系列分析了该省农业旱灾脆弱性。结果表明,豫西的济源、三门峡、洛阳,豫东的开封、漯河与豫北的鹤壁是河南省干旱脆弱性较强的区域,而豫东南的商丘、驻马店、信阳,豫北的新乡、豫西南的南阳则脆弱性较弱,其他地区居于两者之间;2005—2015年河南省干旱脆弱性呈明显的增加趋势。河南省是中国粮食生产核心区,首先要依靠科技创新,大力发展节水农业、循环农业;其次要重视水资源的节约与保护、加大农业投入以降低干旱的脆弱性,确保粮食安全。     

Improvement,identification, and target prediction for miRNAs in the porcine genome by using massive,public high-throughput sequencing data

Despite the broad variety of available microRNA (miRNA) research tools and methods, their application to the identification, annotation, and target prediction of miRNAs in nonmodel organisms is still limited. In this study, we collected nearly all public sRNA-seq data to improve the annotation for known miRNAs and identify novel miRNAs that have not been annotated in pigs (Sus scrofa). We newly annotated 210 mature sequences in known miRNAs and found that 43 of the known miRNA precursors were problematic due to redundant/missing annotations or incorrect sequences. We also predicted 811 novel miRNAs with high confidence, which was twice the current number of known miRNAs for pigs in miRBase. In addition, we proposed a correlation-based strategy to predict target genes for miRNAs by using a large amount of sRNA-seq and RNA-seq data. We found that the correlation-based strategy provided additional evidence of expression compared with traditional target prediction methods. The correlation-based strategy also identified the regulatory pairs that were controlled by nonbinding sites with a particular pattern, which provided abundant complementarity for studying the mechanism of miRNAs that regulate gene expression. In summary, our study improved the annotation of known miRNAs, identified a large number of novel miRNAs, and predicted target genes for all pig miRNAs by using massive public data. This large data-based strategy is also applicable for other nonmodel organisms with incomplete annotation information.     

气候变化情景下流苏香竹潜在分布区预测

流苏香竹（Chimonocalamus fimbriatus）是云南特有珍稀竹种，主要分布于云南西南部。文章以野外调查获取的流苏香竹分布信息为主，运用最大熵模型（MaxEnt）同时结合地理信息系统（ArcGIS），基于19个气候因子，预测其在当前及未来气候变化情景下的潜在分布区。结果表明：当前流苏香竹的高适生区和中适生区主要分布于德宏州、保山市和临沧市等地，除迪庆州、丽江市和昭通市外，云南其他区域均有低适生区零星分布。在未来2050s和2070s的2个时间段，基于2种不同共享社会经济路径（SSP1-2.6和SSP5-8.5），流苏香竹的高适生区面积呈减少的趋势，尤其是SSP5-8.5路径下，高适生区面积仅为当前的12.51%（2050s）和18.63%（2070s）；中、低适生区在SSP1-2.6路径下，显著扩张（2050s）或略微扩张（2070s），在SSP5-8.5路径下，则大幅收缩。流苏香竹野外实际分布区及其潜在分布区均以斑块状为主，可能与云南特殊的地形、地貌有关。影响流苏香竹分布的主导气候因子为最湿月份降水量、最暖月份最高温度、最干季度降水量和平均气温日较差。流苏香竹对气候变化比较敏感，根据其野外分布状况，建议以就地保护为主、迁地保护为辅，在其潜在适生区内适当引种栽培。     

SSCP Marker Development and Analysis of Candidate Restorer Gene Rf1 for Cotton Cytoplasmic Male Sterility

[Objective] Locating the cotton cytoplasmic male sterility (CMS) restorer gene Rf₁ is important for investigating restorer gene mechanisms and improving restorer lines. In our previous study, a gene cluster, with nine Pentatricopeptide repeat(PPR) genes and nine other genes, was found within the 160-kb Rf₁ target region in Scaffold 333. The objective here was to improve the density of Rf1-linked markers in the target region and determine the expression profiles of candidate genes. [Method] Using the sequences of the 18 genes, we designed 155 single-strand conformation polymorphism (SSCP) primers covering all of the gene sequences to identify the polymorphic SSCP markers between the fertile and sterile pools. Additionally, real-time polymerase chain reaction(PCR) was performed to analyze the expression profiles of eight candidate genes in the four developmental stages of buds of sterile, maintainer and restoring lines, respectively. [Result] In total, 15 polymorphic primers were identified. A genotype analysis of the F₂ population was conducted using the 15 primers and 3 other polymorphic simple sequence repeats (SSR) markers. The markers were distributed in a 4.8 cM range. In addition, owing to the influence of sterile cytoplasm or restorer genes, most of the genes showed different expression patterns in the four developmental stages of the three lines' buds. [Conclusion] SSCP markers tightly linked to Rf₁ were identified and the expression profiles of candidate genes were determined. This study provides a basis for the further fine mapping of restorer genes and for candidate gene screening.     

Dynamics of Cotton Rhizosphere Bacterial Community Structure in Cotton Continuous Cropping Field Soil

[Objective] The aim of this study is to understand the dynamics of cotton rhizosphere bacterial community structure in cotton continuous cropping field soil. [Method] 16S rDNA genes were sequenced by high-throughput sequencing technology to determine the community structure of cotton rhizosphere bacteria in different developmental stages using an upland cotton cultivar (Gossypium hirsutum cv. TM-1). [Result] Four dominant phyla were found in the cotton rhizosphere bacterial community including Proteobacteria, Acidobacteria, Planctomycetes, and Bacteroidetes. The four dominant phyla and Firmicutes were largely influenced by cotton root. The relative abundances of Acidobacteria, Planctomycetes, Bacteroidetes were promoted, and Proteobacteria and Firmicutes were inhibited, by cotton root. There were significant differences in community structure, but not species richness or α-diversity among different developmental stages of the cotton rhizosphere bacterial community; the differences between the flowering stage and the budding stage were greater than the differences between the budding stage and the seedling stage. The diversity of the rhizosphere bacterial community in cotton continuous cropping field soil was significantly higher than that of the bulk soil; the β-diversity values of both the rhizosphere and bulk soil bacterial communities were highest in the flowering stage. [Conclusion] The structure and dynamics of the cotton rhizosphere bacterial community in cotton continuous cropping field soil was defined by high-throughput sequencing. The effect of cotton on the rhizosphere bacterial community structure was most significant in the flowering stage.