基于卷积神经网络的拖拉机工况识别

农机工况识别在细化农机作业状态和帮助掌握区域污染物排放趋势方面有着重要的研究价值。基于拖拉机不同运行状态下的行驶速度、发动机转速以及实时油耗等时间序列,首次提出将图像识别方法引入到拖拉机工况识别中的思路,并分别应用参数优化的支持向量机与卷积神经网络对实际作业拖拉机工况进行研究。结果表明:(1)基于参数优化的支持向量机可以较好地实现样本点的工况识别且识别准确度达到99.851 9%,但无法实现农机工况的连续性识别,同时无法对农机工况转换阶段进行有效识别。(2)以拖拉机运行速度与发动机转速等信息构建样本图像来描述农机工况变化的数据表达,并在此基础上应用卷积神经网络可以有效实现农机工况的连续性识别,且识别准确率可以达到93.3%。本研究在农机工况识别方面具有一定参考价值,并为后续农机不同工况下区域污染物排放研究提供技术支持。     

温度对海带幼孢子体后期的叶长、叶宽的影响

2014年—2016年,当海带养殖区水温降至19℃时,将海带"奔牛"品系的幼苗移植到荣成养鱼池湾海域,采用垂挂式养殖方式暂养,定期调整水层和摆洗幼苗,采用挂袋施肥的方式施加硫酸铵和硝酸铵的混合肥。约11月中旬,在海带苗种长至12~15 cm时开始分苗,此后在Ⅰ类海带养殖区,按照大单架平养的养殖方式进行正常养殖。自1月中旬起,每隔半个月对其叶长、叶宽进行测量,计算绝对生长速率,同时记录养殖海区的水温和透明度。连续3年的养殖试验结果显示,透明度最低值出现在水温约6℃,但在同样温度下,透明度不同。海带叶长最大时水温为11~14℃,叶宽最大时水温为13~15℃,比海带叶长最大的温度高1~2℃,海带叶宽生长速率最大时水温为6.5~8.0℃。海带叶长和叶宽基本呈正相关关系。海带由薄嫩期到收获期期间,叶长、叶宽比值为5.4~9.0,在收获期的比值则为6.8~8.7,但相同比值出现的温度不同。     

基于GF-1和Sentinel-2时序数据的茶园识别

由于茶园大多分布在地形复杂的山区,地块破碎,分布零散,形状差异大、植被混杂且茶园所处环境长期受到云雨的影响,增加了茶园遥感识别的难度与不确定性,针对这一问题,该研究提出了利用高分1号(GF-1)和哨兵2号(Sentinel-2)时序数据提取茶园的方法,以浙江省武义县王宅镇为研究区,采用GF-1号为主要数据源,并利用MODIS地表反射率产品和Sentinel-2反射率数据,基于时空融合算法得到时间分辨率5 d的10 m Sentinel-2完整的时序数据。综合利用GF-1在空间细节方面的优势和重建的Sentinel-2高观测频率时序数据在反映茶树生长过程方面的优势,分别基于GF-1的光谱和纹理特征及GF-1的光谱、纹理特征和Sentinel-2时序特征两种特征组合方式,采用随机森林算法提取茶园。结果表明,GF-1光谱、纹理信息结合Sentinel-2时序信息分类结果的准确率、错误率、精确率、召回率和F1分数分别为96.91%、3.09%、89.00%、83.09%和0.86,仅基于GF-1光谱和纹理信息的分类准确率、错误率、精确率、召回率和F1分数分别为94.72%、5.28%、73.09%、84.61%和0.78,添加时序信息分类结果总体优于未添加时序信息的分类结果。表明高空间分辨率结合高频率时序遥感数据是提高茶园分类精度的有效手段。     

基于高通量测序及分离培养初步研究美国大豆中真菌多样性

中国是全球最大的大豆进口国,进境大豆所携带的病原真菌传入我国的风险极高。基于高通量测序技术对6批美国大豆真菌多样性进行分析,同时采用分离培养获得单一菌株,依据菌落形态、显微结构及分子技术进行鉴定。高通量测序结果显示,大豆中所有真菌共计5门15纲35目63科112属155种,主要为链格孢属(Alternaria)、球腔菌科(Mycosphaerellaceae)、小戴卫霉科(Davidiellaceae)、小囊菌科(Plectosphaerellaceae)、赤霉属(Gibberella)、附球霉属(Epicoccum)、间座壳属(Diaporthe)、隐球菌属(Cryptococcus)。分离培养结果显示,得到真菌共计40株10种,分别是大豆北方茎溃疡病菌(Diaporthe phaseolorum var.caulivora)、大豆南方茎溃疡病菌(Diaporthe phaseolorum var.meridionalis)、大豆拟茎点种腐病菌(Diaporthe longicolla/Phomopsis longicolla)、大豆炭腐病菌(Macrophomina phaseolina)、尖孢镰刀菌(Fusarium oxysporum)、菌核菌(Sclerotinia sclerotiorum)、镰刀菌(Fusarium sp.)、附球菌(Epicoccum sp.)、交链孢菌(Alternaria sp.)、小双胞腔菌(Didymella sp.)。     

菊花绿变病植原体在中国的发生及分子鉴定

对内蒙古农业大学校园内表现花器绿变症状的菊花样品进行采集和DNA提取,应用植原体16S rRNA基因和rp基因的引物进行巢式PCR扩增,从感病样品中分别扩增得到了长度均约为1.2 kb的片段。序列一致性分析表明,菊花绿变植原体16S rRNA基因与翠菊黄化植原体匈牙利风信子株系(GenBank登录号MN080271)、印度玉米株系(KY565571)、印度繁缕株系(KC623537)和印度马铃薯株系(KC312703)的核酸一致性最高,为99.9%,rp基因序列与翠菊黄化植原体立陶宛洋葱株系(GU228514)的核酸一致性最高,为99.8%。基于16S rRNA基因和rp基因构建系统进化树时发现,菊花绿变植原体均与16SrI-B亚组成员聚为一起。16S rRNA基因相似性系数分析表明,菊花绿变植原体与洋葱黄化植原体(AP006628)的相似性系数最高为1.00,洋葱黄化植原体(AP006628)在分类上属于16SrI-B亚组。因此,我们可以确定该菊花绿变植原体属于16SrI-B亚组。这是我国首次报道菊花绿变病的发生。     

拟康宁木霉Tk1的分离鉴定、拮抗作用及其生物学特性

为了分离利用高效植物病害生物防治菌株，从广东药用植物金丝皇菊根部分离获得一株木霉菌株Tk1。经过形态观察、rDNA-ITS和EF-1α序列分析明确其为拟康宁木霉Trichoderma koningiopsis。用平板对峙培养法测定，该菌株对金丝皇菊枯萎病菌（尖孢镰刀菌Fusarium oxysporum）和柑橘炭疽病菌（胶胞炭疽菌Colletotrichum gloeosporioides）的抑制率分别为68.5%和77.1%，且在后期能完全覆盖或部分覆盖病原真菌。其无菌发酵液对金丝皇菊枯萎病菌的抑制率为45.55%。该菌株营养生长和产孢的最适碳源分别为乳糖和葡萄糖，最适氮源是酵母膏；在pH 4~11的培养基上均可生长、产孢，最适pH为7；12 h交替光照条件下菌丝的生长速度最快，全光照条件下产孢数量最大；该菌株的致死温度为73℃处理10 min。     

油茶内生拮抗细菌的筛选、鉴定及防效

为筛选出对油茶炭疽菌有拮抗效果的生防菌株，以油茶健康叶为对象，平板对峙法筛选，利用形态和生理生化特征以及16S rDNA基因和gyrA基因序列对菌株进行鉴定，测定其抑菌活性，并将该菌株与枯草芽胞杆菌Y13复配进行林间防效试验。结果表明，对油茶炭疽病菌拮抗作用效果较强的内生菌株为HBMC—B05；菌落为乳白色，不透明，边缘不整齐，中间有凸起；分子鉴定结果显示菌株HBMC—B05为贝莱斯芽胞杆菌Bacillus velezensis，其对果生炭疽菌Collectotrichum fructicola，抑菌率可达到81.31%，对另外3种油茶炭疽病病原菌抑菌率可达到70%以上，对其他4种致病菌也有抑制作用；复合菌剂对油茶病害的田间防治效果达到59%以上。该菌株的抑菌具有广谱性，可为油茶病害的生物防治扩充菌种资源，具有广泛的应用前景。     

Screening and identification of soybean varieties with high phosphorus efficiency at seedling stage

In order to simplify the workload and find a reliable method for screening soybeans with different phosphorus(P)efficiencies,47 soybean varieties were screened from 90 varieties according to yield under normal phosphorus,and 10 indicators including root phenotype,phosphorus utilization efficiency at the seedling stage and yield were measured.Through single-index cluster analysis,the performance value and relative value of the abovementioned indexes under low-phosphorus conditions were analyzed,and then,the combined indexes were analyzed by principal components method.The membership function method and the cluster analysis method was used to calculate and analyze the comprehensive score value.Three indexes of root P utilization efficiency(X₁),relative value of root P utilization efficiency(X₂),and root volume(X₃)under low P at the seedling stage were selected as the most consistent with the yield screening results under low P condition,and the mathematical model of the comprehensive score value was obtained:D=1.218X₁t 0.320X₂t 0.007X₃-0.664(P=0.000,R²=1.000).The comprehensive score can screen and identify the P efficiency of soybeans with fewer indexes in the early growth stages,which provides a more rapid and reliable mathematical model for screening and identifying a larger number of germplasm resources for P efficiency.     

The first survey and molecular identification of Entamoeba spp. in farm animals on Qinghai-Tibetan Plateau of China

Protozoans of Entamoeba spp. are globally distributed zoonotic parasites that infect diverse animal hosts and humans. Prevalence and species/genotypes distribution of Entamoeba spp. in domestic animals are not fully investigated on Qinghai-Tibetan Plateau (QTP), an animal husbandry and agriculture region of China. In a survey, 528 fecal samples were collected from 7 species of domestic animals on multiple locations across QTP region and analyzed by PCR and sequencing analysis. The overall prevalence of Entamoeba spp. infection in all examined animals was 97.9 %. Four Entamoeba species, E. bovis, E. moshkovskii, E. ecuadoriensis and E. histolytica were found, and majority (94.2 %) of Entamoeba-infected animals harbored E. bovis. Six Entamoeba genotypes, Entamoeba ribosomal lineages (RL) 1, 2, 3, 4, 8 and 9 were identified by sequencing analysis. Two zoonotic species, E. moshkovskii and E. histolytica, were present in horses, while E. ecuadoriensis and E. bovis were found in horses and all species of seven farm animals, respectively. It was also observed that six Entamoeba genotypes were distributed in animals in specific pattern. The results revealed high prevalence of Entamoeba spp. infection in livestock, broad range of hosts as well as diversity and species/genotype distribution of Entamoeba spp. in farm animals inhabiting on the high altitude QTP region.     

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.