小麦山农4143抗黑胚病遗传分析及抗性遗传位点检测

黑胚病是小麦生产的重要籽粒病害,麦根腐平脐蠕孢(Bipolaris sorokiniana)是黑胚病的主要致病菌.为分析小麦抗黑胚病遗传规律并检测抗性位点,本研究以抗黑胚病小麦品系山农4143与感病品系宛原白1号的F7代重组自交系(RIL)群体为材料,于2018～2019年在3个试验点种植,采用“孢子液喷洒、套袋保湿”...     

Multilocus sequence typing analysis of Italian Xanthomonas campestris pv. campestris strains suggests the evolution of local endemic populations of the pathogen and does not correlate with race distribution

Xanthomonas campestris pv. campestris (Xcc) is the causal agent of black rot in Brassicaceae. It is widespread in Italy and severe outbreaks occur under conditions that favour disease development. In this study a multilocus sequence typing approach (MLST) based on the partial sequence of seven loci was applied to a selection of strains representative of the main areas of cultivation and hosts. The aim was to investigate whether the long tradition of brassica crops in Italy has influenced the evolution of different Xcc populations. All loci were polymorphic; 14 allelic profiles were identified of which 13 were unique to Italian strains. Based on the seven loci, the most common genotype within the Italian Xcc strains (AP1) was also the most representative genotype found in worldwide Xcc strains. This genotype was included in a new clonal complex in addition to three other clonal complexes already identified in Xcc populations. The phylogenetic reconstruction using a concatenated dataset of four conserved protein-coding genes, dnaK, fuyA, gyrB and rpoD, showed that the Italian strains belonged to two genetic groups. Physiological races were also investigated for the first time in Italy. The race structure of Xcc was determined by inoculating eight differential Brassica lines belonging to five species and showed that, in Italy, race 4 is the most widespread, followed by races 1 and 6. No correlation was found between allelic profiles, host of isolation, geographical origin and races, although a prevalent race was identified within the same clonal complex.     

Evaluating diverse systems of tobacco genetic resistance to Phytophthora nicotianae in Yunnan,China

Black shank, caused by the soilborne pathogen Phytophthora nicotianae, is one of the most devastating diseases affecting tobacco production in China. The most effective strategy for reducing economic loss from this pathogen is development and use of resistant tobacco varieties. Multiple sources and systems of resistance have been developed in the Western Hemisphere; however, populations of P. nicotianae are variable around the world, including the predominance of different races. Different P. nicotianae isolates may react differently on tobacco plants with different systems of resistance, a possibility that could complicate the breeding of cultivars with resistance that is effective in different tobacco production regions worldwide. The objective of this research was to evaluate an array of tobacco germplasm possessing different systems of genetic resistance to black shank disease in tobacco-growing regions of Yunnan, China. Resistance types included simply inherited resistance mechanisms introgressed from wild Nicotiana relatives and polygenic partial resistance systems of N. tabacum origin. The loci of Wz exhibited high level resistance to black shank in the five diverse disease environments in Yunnan, China. K326 Php/−Wz/− genotype and Beinhart 1000 exhibited the greatest levels of resistance in both 2015 and 2016. Field observed results for 13 tobacco genotypes were highly correlated with those tested in growth chamber evaluation. These findings suggest that both Wz− and Beinhart 1000-mediated resistance have important commercial value in flue-cured tobacco breeding programmes in China. Cultivars developed for black shank resistance in China may also have utility in other tobacco-growing areas.     

匹配点云结合HSI色彩分量的无人机RGB影像信息提取方法

无人机通常搭载可见光波段传感器获取红-绿-蓝（Red-Green-Blue,RGB）影像,由于无人机RGB影像波段较少,影像的地物信息提取存在一定难度。该研究提出了一种匹配点云结合色调-饱和度-亮度（Hue-Saturation-Intensity,HSI）空间色彩分量的无人机RGB影像信息提取方法。首先以饱和度分量和红光波段构造了饱和度与红光比值指数,再结合可见光波段差异植被指数以及由匹配点云获得的地形特征对研究区正射影像进行分类。试验结果表明,本文方法的总体分类精度达到了91.11%,Kappa系数为0.895,证明匹配点云结合HSI空间色彩分量的方法提取无人机RGB影像信息是可行的,提取结果具有较高精度。相较于基于光谱特征的传统方法,本文方法引入匹配点云可以简单高效地提取影像中高程差异明显的地物,同时,结合HSI色彩分量能够有效弥补无人机RGB影像光谱特征较少的不足。     

基于堆叠沙漏网络的单分蘖水稻植株骨架提取

针对水稻栽培和遗传育种研究中单分蘖性状高通量无损提取的实际需求,该研究提出了一种基于沙漏网络模型的单分蘖水稻关键点预测和骨架提取方法。首先,对原始图像进行批量裁剪、gamma校正和锐化卷积等预处理,获取单色背景下的水稻单分蘖图像数据集;设计水稻单分蘖各器官关键点数据标注策略,构建监督数据集。然后,构建堆叠沙漏网络架构实现叶片数固定和不固定的水稻关键点检测,引入沙漏结构整合图像的多尺度特征,结合中间监督机制整合不同沙漏模块信息。叶片数一致的情况,模型预测准确率最高可达96.48%;叶片数不一致的情况,预测准确率达到82.09%。最后,根据预测关键点及其对应的语义信息连接形成植株骨架,选取茎秆长、叶片长、穗长、叶片-茎秆夹角和茎节点位置5个表型参数对生成骨架模型的实际意义进行评估,其均方根误差依次为5.82 cm、3.09 cm、1.71 cm、3.22°和2.04 cm,证明了该方法能较好地识别水稻单分蘖关键点,为水稻骨架提取提供了一种新思路,有助于加快水稻育种速度。     

巴马县玉米黑毛虫发生特点及综合防治技术

通过连续三年实地对巴马县的玉米黑毛虫发生为害特点和发生成因进行分析,并系统调查研究,提出综合防治措施:农业防治;物理防治;药剂防治。     

浙江省全域土地综合整治试点时空分异格局及影响因素分析

为探究浙江省全域土地综合试点的空间分布格局与影响因素,优化全域土地综合试点布局,基于2019—2021年浙江省全域土地综合整治试点POI数据,运用平均最近邻、标准差椭圆、核密度、网格维数法系统分析浙江省全域土地综合整治试点时空分布特征,并利用地理探测器模型探究其主要影响因素。结果表明：1）浙江省全域土地综合整治试点整体呈集聚分布状态;集聚过程中连片分布特征呈不断加强趋势,由嘉兴市、衢州市和台州市“三核心”变化为以嘉兴市、湖州市和绍兴市为核心的连片高密度区;2）浙江省全域土地综合整治试点在空间分布上概率不等,分形结构复杂,存在局部围绕平原地区集聚情况;重心逐渐由东南向西北迁移,移动幅度逐渐变小;3）政策文件数、农作物播种面积、人均GDP、地形起伏度和城镇化率是影响浙江省全域土地综合整治试点空间分布的主要因素,影响强度依次递减,且影响因子的交互作用大于单因子对试点空间分布的影响。本研究可为浙江省优化国土空间布局和深化全域土地综合整治政策提供科学依据。     

洮藏黑山羊特性研究

本文以洮藏黑山羊为研究对象,通过查阅史料及现场资源调查、试验分析,系统研究了洮藏黑山羊的数量变化、原绒产量、营养成分等特性研究。为洮藏黑山羊的利用和保护,提供了理论依据及生产指导作用。     

盐度对黄鳍鲷幼鱼消化酶活性的影响及消化酶活性的昼夜变化

研究了盐度对黄鳍鲷幼鱼主要消化酶(蛋白酶、淀粉酶、脂肪酶)的影响及消化酶活性的昼夜变化。实验设计5、10、15、20、25、30等6个盐度梯度组。结果表明,蛋白酶、脂肪酶的比活在盐度为25时最高,而淀粉酶的比活在盐度为20时最高。各种消化酶在盐度20~30时消化酶比活的平均值要明显高于5~15时消化酶的平均值。对黄鳍鲷消化酶比活昼夜变化的测定表明,蛋白酶、淀粉酶、脂肪酶比活的最高值分别在14∶00、20∶00和18∶00,最低值分别是12∶00、10∶00和6∶00。