鸡皮刺螨实验室饲养与繁殖技术研究进展

鸡皮刺螨是一种吸血性外寄生虫,会引起鸡消瘦、贫血,并导致产蛋下降,造成巨大经济损失。为给科研提供可靠虫源,并对杀螨药物、疫苗以及其他防控手段进行效果评价,国内外学者进行了鸡皮刺螨实验室的人工饲养与繁殖技术研究。文章综述了国内外鸡皮刺螨实验室饲养与繁殖技术的研究进展,将其总结归纳为使用动物饲养繁殖技术与离体饲养繁殖技术两类,同时指出了各项技术在应用过程中存在的问题,为该技术的进一步完善与发展提供相关参考。     

Australian Uromyces viciae-fabae: Host and nonhost interaction among cultivated grain legumes

Uromyces viciae-fabae, rust of faba bean, parasitizes other legume crops such as lentils (Lens culinaris) and field peas (Pisum sativum) in some environments. In this study we examined the host range of two Australian isolates of U. viciae-fabae collected and purified from a faba bean crop and classified as U. viciae-fabae ex V. faba. Field pea (P. sativum), chickpea (Cicer arientinum), lupin (Lupinus spp.), lentil (L. culinaris), and mung bean (Vigna radiata) genotypes were tested with these isolates, as well as resistant and susceptible genotypes of the faba bean host. Race specificity for these two pathogen isolates was observed on Vicia faba, with two faba bean genotypes showing partial resistance. Both U. viciae-fabae isolates also colonized field pea seedlings and successfully produced uredinia under glasshouse conditions, despite this fungus not being known as a pathogen of Australian field pea crops. No sporulation of either isolate of U. viciae-fabae ex V. faba was observed on any of the remaining legume species tested. However, obvious differences in fungal growth were observed, ranging from small infection sites with very rare haustorium formation in mung bean to more extensive growth and the development of potential uredinial structures in chickpea. These observations are discussed in relation to the phylogenetic relationship of these host and nonhost species.     

番茄褪绿病毒(tomato chlorosis virus)的新寄主:水茄(Solanum torvum Swartz)

Tomato chlorosis virus (ToCV) is a plant virus that is mainly propagated by Bemisia tabaci in a semi-persistent and non-circulative manner.It has a wide range of host plants,and has been reported in many countries,causing serious economic losses in vegetable production.In 2019,we investigated about 10 fields,one ha each in Shouguang,Shandong province (China),and in each field we observed symptoms of interveinal chlorosis on lower leaves of the Solanum torvum Swartz,and a large number of B.tabaci gathered on the back of its leaves.To determine the presence of ToCV,total RNA of S.torvum was extracted followed by RT-PCR.The 1 074 (GenBank accessions number MN545620) and 466 bp (GenBank accessions number MN545621) fragments were gel purified and sequenced.The sequences shared 99.44% and 99.57% similarity with ToCV reference sequence tomato chlorosis virus segment RNA1 (AY903447) and RNA2 (AY903448).The results of insect transmission test confirmed that ToCV can spread from S. torvum to tomato.This study confirms S.torvum as a newly reported host of ToCV.     

利用MAS技术改良香稻‘R15’的直链淀粉含量

R15是适应性较广,产量较高的中熟晚籼香稻品系,但由于含有Wx^a基因,其直链淀粉含量高达23.5%,严重影响食用口感。因此,我们以含有Wx^b等位基因的不育系Y58S为供体,通过杂交、回交,利用RAD测序技术、分子标记辅助筛选等技术,经过8个世代的筛选,成功用Wx^b基因替换掉R15中的Wx^a基因,培育出1个新的纯合株系——‘深华R16’,其染色体上有10882234 bp长度的碱基,基因型和供体亲本‘Y58S’一致,占2.92%;有362363285 bp长度的DNA片段基因型和受体亲本‘R15’一致,占97.08%;其直链淀粉含量为14%。将‘Y58S’分别与‘深华R16’和‘R15’进行组配,结果表明,‘Y58S’/‘深华R16’组合的直链淀粉含量(13.9%)低于‘Y58S’/‘R15’组合的直链淀粉含量(19.9%),其它米质性状与农艺性状基本一致。本研究为分子标记辅助育种提供了新思路,培育出一新的水稻品系。     

基于随机森林的高寒湿地地区土地覆盖遥感分类方法

高寒湿地是青藏高原典型独特的生态系统,是全球气候变化的敏感地带和预警区。利用遥感技术快速、准确地分类提取高寒湿地的土地覆盖信息,对当地生态安全监测和保护具有重要意义。本文以若尔盖湿地国家级自然保护区为研究区,首先,以高分一号(GF-1)遥感影像为数据源,融合光谱特征、水体指数、地形特征、植被指数和纹理信息等26个变量进行随机森林(Random forest,RF)分类实验;然后,根据袋外数据(Out of bag,OOB)的特征变量重要性得分和精度评价结果,选出高寒湿地地区土地覆盖类型的最优分类方案和特征;最后,对特征变量进行降维,并基于相同的变量,采用极大似然法(Maximum likelihood classification,MLC)、支持向量机(Support vector machine,SVM)、人工神经网络(Artificial neural network,ANN)和RF等方法进行分类,比较不同方法的优适性。结果表明:结合GF-1影像光谱、水体、植被、纹理特征和地形信息,使用26个变量的RF模型的分类精度最高,总体精度(Overall accuracy,OA)为90.07%,Kappa系数为0.86;通过RF模型的变量重要性分析可以有效选出重要的特征信息,在降低特征变量维度的同时,还能保证较高的分类精度; 4种分类方法中,RF算法是高寒湿地地区较合适的分类方法,OA比MLC基准方法高17.63个百分点,比SVM和ANN等机器学习算法分别高6.98、6.56个百分点。     

Challenges in organic component selection and biochar as an opportunity in potting substrates: a review

Plant production in potting substrates provides maximum profit on the applied inputs, and hence, directly improving the socio-economic condition of the grower/nurserymen. The main challenge in this industry is sourcing of materials for their potting substrates. Peat and perlite have been widely preferred materials. However, recently higher prices, more restrictive legislation of many countries and wetland ecosystem destruction through its extraction has limited peat use. Nowadays, producers focus towards peat alternatives that provide good performance, are readily available, inexpensive and environment friendly to attain sustainability in potted plant production. In an effort to grasp sustainability during the last few decades, many industrial and agricultural waste materials were reviewed for their use in potting substrates. In these studies, the major focus remained on material characterization, neglecting their economics, technical aspects and environmental impacts. Thus, switching from peat and perlite to alternatives requires material exploration. In the present review, we summarize a clearer and practical approach for substituting different materials especially biochar to fulfill the need of modern potting substrate industry. Biochar has the potential to sustain the substrate production on a long-term basis.     

An artificial inoculation protocol for Uromycladium acaciae,cause of a serious disease of Acacia mearnsii in southern Africa

Uromycladium acaciae is the cause of a severe wattle rust epidemic in plantations of Acacia mearnsii (black wattle) in southern Africa. Research on the biology of this damaging rust is assisting in the development of control strategies. One strategy under investigation is the identification and deployment of resistant lines of A. mearnsii. Selection of resistant families currently relies on large-scale, time-consuming and expensive field trials. In this study, we present a detailed artificial inoculation protocol for U. acaciae, which can be used to screen for resistance. The results of an experiment that used the protocol to screen the relative resistance of 12 families of A. mearnsii to U. acaciae are also presented. The developed artificial inoculation protocol can also be used to investigate several other aspects of this host–pathogen system.     

枣实蝇对枣果挥发物的选择行为

[目的]探究对枣实蝇有引诱作用的挥发性物质,研发基于行为调节的防治技术。[方法]采用Y型嗅觉仪测定了枣实蝇成虫对6种枣果挥发物的选择行为反应,并在室内试验的基础上进行田间引诱试验。[结果]室内试验结果显示,枣实蝇成虫对6种枣果挥发物具有显著正趋性。枣实蝇雌虫对棕榈酸乙酯、月桂酸乙酯、肉豆蔻酸的选择率较强,选择率均为30%以上;雄虫对亚油酸乙酯、油酸乙酯的选择率较强,选择率均为25%以上,从不同浓度梯度(原液、10%溶液、1%溶液)的选择率和选择系数来看,随浓度的递减,其选择率和选择系数也在递减,原液的选择率分别为10%溶液及1%溶液的2.5倍及5倍以上。田间试验发现:肉豆蔻酸对枣实蝇雌虫的诱集效果较强,2 d最多诱捕数量为15头·只^-1,平均诱捕数量为11.4头·只^-1,十四酸乙酯次之。在6种不同挥发物中油酸乙酯和亚油酸乙酯对枣实蝇雄虫的引诱效果较强。经单因素方差分析发现,在6种挥发性物质及混合物中,月桂酸乙酯及十四酸乙酯对枣实蝇雌雄虫的引诱效果之间存在显著性差异。其他挥发物之间无显著差异。[结论]枣果挥发物中棕榈酸乙酯、月桂酸乙酯、肉豆蔻酸与枣实蝇偏爱选择密切相关。在田间试验中:枣实蝇成虫对肉豆蔻酸的选择率较强,为研发枣实蝇引诱剂提供了理论依据。     

Wide hybridization and introgression breeding in safflower: Effectiveness of different selection methods

Possibility of using interspecific hybridization to increase genetic diversity of drought tolerance in safflower (Carthamus tinctorius L.) and effectiveness of different selection methods is poorly understood. The main objectives of this study were to evaluate the effectiveness of (a) interspecific hybridization to expand genetic diversity in safflower for agronomic traits and drought tolerance in advance generations and (b) different selection methods (direct vs. indirect) for improving seed yield. Interspecific hybridizations were performed between species of C. tinctorius × C. palaestinus (TP), C. palaestinus × C. oxyacantha (PO) and C. tinctorius × C. oxyacantha (TO). Based on the field screening of genotypes in F3 generation, four groups of selected genotypes (derived from combination of direct and indirect selection under both drought and normal environments along with selection based on drought tolerance index (STI)) were evaluated in F4 and F5 generations. Indirect selection for seed yield was significantly more efficient than direct selection. Selection in stress environment resulted to more efficiency than selection in normal environment. No significant difference was observed between direct selection and selection based on STI. The result showed that TP was the best population to combine high seed yield and drought tolerance in safflower.     

基于全子集-分位数回归的土壤含盐量反演研究

为提高植被覆盖条件下卫星遥感对土壤含盐量的估测精度,以河套灌区解放闸灌域为研究区,以高分一号卫星影像为数据源,同步采集不同深度土壤含盐量,通过全子集筛选法(Best subset selection)分析不同波段和光谱指数对于不同深度土壤含盐量的敏感性,并采用人工神经网络(Artificial neural network,ANN)、支持向量机(Support vector machine,SVM)和分位数回归(Quantile regression,QR) 3种方法,构建全子集筛选前后0～20 cm、20～40 cm、0～40 cm、40～60 cm、0～60 cm等不同深度下的土壤含盐量反演模型。结果表明,B4、BI、SI1、SI3是0～20 cm、0～40 cm处土壤含盐量的敏感变量组合,B4、BI、NDVI为20～40 cm、40～60 cm、0～60 cm处土壤含盐量的敏感变量组合;在各深度下,分位数回归模型的精度最高,模型的决定系数R2c1、R2v1均在0. 4以上,均方根误差RMSEc1、RMSEv1均小于0. 4%,SVM次之,ANN最差;在20～40 cm深度下QR反演模型效果优于其他深度,为本文土壤含盐量估算的最优模型,其建模和验证的决定系数R2c1、R2v1分别为0. 611和0. 671,建模和验证均方根误差RMSEc1、RMSEv1分别为0. 177%和0. 160%。本研究可为卫星遥感大范围监测植被覆盖条件下土壤盐渍化程度提供参考。