响应面优化早花忍冬组培苗增殖培养条件

本试验以早花忍冬组培苗的茎段为试验材料,采用Box-Behnken响应面设计法优化早花忍冬茎段继代培养的条件,为早花忍冬组培离体快繁体系建立提供了参考依据.通过单因素试验法确定激素的添加范围,通过响应面优化得到最佳的增殖培养基.结果表明:激素种类对早花忍冬组培苗茎段继代培养的影响顺序依次为:6-BA＞IAA＞IBA,并且在6-BA浓度为1.9 mg/L、IBA浓度为0.76 mg/L、IAA浓度为0.27 mg/L时,茎段继代培养的增殖系数为7.66,与方程预测值相接近.     

基于qPCR和LAMP技术的马铃薯晚疫病菌快速检测方法

马铃薯晚疫病菌（Phytophthora infestans）能侵染多种茄科植物,它引起的马铃薯晚疫病,是马铃薯生产中的第一大病害。为了开发能在田间快速检测马铃薯晚疫病病原的方法,利用P. infestans T30-4基因组测序数据的contig 1.18131,设计qPCR和LAMP引物,优化扩增条件后得到引物的特异性和灵敏度,最后通过检测田间收获薯块,比较形态学传统方法、qPCR及LAMP的差异。特异性检测结果发现,qPCR和LAMP仅在含有P. infestans DNA模板的体系有阳性扩增,在寄主和其他微生物DNA中均无扩增;在优化的条件下,qPCR和LAMP的检测下限可达1×10 ^-6ng/μL,在有寄主和其他微生物DNA存在的条件下,引物的灵敏度没有显著差异。利用两种快速方法对在大理、丽江及昆明3个地区田间收获薯块上检测发现,qPCR和LAMP方法得到的检出率差异极为不显著（P=0.420）,两种快速检测方法和形态学鉴定方法检出率差异极显著（P=0.009）。在大理、丽江及昆明3个地区的薯块中,两种分子检测方法检出率均比形态学方法高。其中,qPCR检测方法比形态学方法分别提高了12.00%、2.00%、8.70%;LAMP检测方法比形态学方法分别提高了11.30%、2.00%、8.70%。     

外源硅调控葡萄生理特性对低温胁迫的响应

本研究以大田葡萄品种‘梅鹿辄’为试材,采用大田喷施硅酸钾与室内低温处理相结合的方法,测定不同温度下葡萄叶片生理指标的变化,研究外源硅酸钾调控葡萄生理特性对低温胁迫的响应,探讨其提高葡萄抗寒性可能的作用机制。结果表明:低温胁迫下葡萄Inv活性被抑制,而其它指标则升高;喷施硅酸钾可显著降低低温胁迫下葡萄叶片的MDA含量,且当硅酸钾浓度为0.75%时对低温的损伤缓解作用最大;而脯氨酸、可溶性蛋白和可溶性糖含量、Inv、SPS活性及SS净活性均随硅酸钾浓度的升高而显著提高,但是可溶性蛋白含量在硅酸钾浓度为0.50%时最大,其它指标均在浓度为0.75%时最大;通过葡萄叶片各抗寒指标的隶属度值与综合评价指标看出,始花期0.75%的硅酸钾处理后葡萄抗寒性最强。综合分析,喷施硅酸钾可提高低温胁迫下葡萄叶片渗透调节物质含量,加快蔗糖转运及代谢速率,缓解活性氧累积,增强其耐寒性。     

玉米秸秆消化率全基因组关联分析

48h体外干物质消化率（48h in vitro dry matter digestibility, 48h IVDMD）是衡量青贮玉米品质的重要指标。为了初步探究玉米秸秆消化率的分子遗传机理,以341份玉米自交系为材料,于2018年在沈阳和通辽种植,收获后测定秸秆48h IVDMD。利用全基因组重测序获得的6 276 612个高质量SNPs进行全基因组关联分析,共检测到153个与玉米秸秆消化率显著相关的SNPs位点（P<1.0×10^-6）,4个SNPs显著水平在P<1.0×10^-8以上;共找到38个秸秆消化率的候选基因,主要涉及细胞生长发育、防御反应和信号转导等生物学功能。     

Influence of temperature,humidity duration and growth stage on the infection and mycotoxin production by Fusarium langsethiae and Fusarium poae in oats

High occurrence of Fusarium poae (FP) and Fusarium langsethiae (FL) and their mycotoxins nivalenol (NIV) and T-2/HT-2 have been observed in Swiss oats. Early prediction of mycotoxin levels is important for farmers and the cereal industry to minimize the risk of contaminated food and feed. Therefore, climate chamber experiments were conducted to investigate the influence of different temperatures (10, 15, 20 °C) and durations (4, 8, 12 h) at 99% relative humidity (RH) on the infection of oats with FP and FL. In addition, to discover the most susceptible period of oats, artificial FL inoculations were conducted at different growth stages. Field experiments were performed to observe the dispersal of these fungal species within the field and to investigate the weather conditions that influence the dispersal. The climate chamber experiments revealed higher contamination with NIV and T-2/HT-2 in the 10 °C treatments and with a prolonged humidity duration of 12 h 99% RH. Inoculations of oat plants at early (DC 61) and mid (DC 65) anthesis, led to higher FL infection and T-2/HT-2 accumulation in the grains compared with treatments at earlier growth stages, which might be due to an increased susceptibility during anthesis. No indication for spore dispersal was observed in the field experiments. The results obtained, together with the cropping factors that influence infection and mycotoxin production, could be used as a first step in developing forecasting models to predict the contamination of oats with the mycotoxins NIV and T-2/HT-2.     

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

In the oldest commercial wine district of Australia, the Hunter Valley, there is the threat of soil salinization because marine sediments underlie the area. To understand the risk requires information about the spatial distribution of soil properties. Electromagnetic (EM) induction instruments have been used to identify and map the spatial variation of average soil salinity to a certain depth. However, soils vary with depth dependent on soil forming factors. We collected data from a single‐frequency and multiple‐coil DUALEM‐421 along a toposequence. We inverted this data using EM4Soil software and evaluated the resultant 2‐dimensional model of true electrical conductivity (σ – mS/m) with depth against electrical conductivity of saturated soil pastes (EC_p – dS/m). Using a fitted linear regression (LR) model calibration approach and by varying the forward model (cumulative function‐CF and full solution‐FS), inversion algorithm (S1 and S2), damping factor (λ) and number of arrays, we determined a suitable electromagnetic conductivity image (EMCI), which was optimal (R² = 0.82) when using the full solution, S2, λ = 3.6 and all six coil arrays. We conducted an uncertainty analysis of the LR model used to estimate the electrical conductivity of the saturated soil‐paste extract (EC_e – dS/m). Our interpretation based on estimates of EC_e suggests the approach can identify differences in salinity, how these vary with parent material and how topography influences salt distribution. The results provide information leading to insights into how soil forming factors and agricultural practices influence salinity down a toposequence and how this can guide soil management practices.     

Ray blight of pyrethrum in Australia: a review of the current status and future opportunities

Ray blight caused by Stagonosporopsis tanaceti is one of the most important diseases of pyrethrum (Tanacetum cinerariifolium), a perennial herbaceous plant cultivated for the extraction of insecticidal pyrethrins in Australia. The disease is responsible for complete yield loss in severe outbreaks. Infected seed is considered as the principal source of S. tanaceti. Infection hyphae remain only in the seed coat and not in the embryo, resulting in pre- and post-emergence death of seedlings and latent infection. Therefore, quantification of the level of infection by S. tanaceti within seed using a qPCR assay is important for efficient management of the disease. Stagonosporopsis tanaceti completes its life cycle within 12 days after leaf infection through production of pycnidia and can infect every tissue of the pyrethrum plant except the vascular and root tissues. Ray blight epidemics occur in pyrethrum fields through splash dispersal of pycnidiospores between adjacent plants. Besides steam sterilization, thiabendazole/thiram and fludioxonil are effective seed-treating chemicals in controlling S. tanaceti before planting begins. Ray blight is currently managed in the field through the foliar application of strobilurin fungicides in the first 1–2 years of crop establishment. Later on, difenoconazole and multisite specific fungicides in the next 2–3 years during early spring successfully reduce ray blight infestation. Avoiding development of resistance to fungicides will require more sustainable management of ray blight including the development and deployment of resistant cultivars.     

Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice

Background

Salinity is one of the most severe and widespread abiotic stresses that affect rice production. The identification of major-effect quantitative trait loci (QTLs) for traits related to salinity tolerance and understanding of QTL × environment interactions (QEIs) can help in more precise and faster development of salinity-tolerant rice varieties through marker-assisted breeding. Recombinant inbred lines (RILs) derived from IR29/Hasawi (a novel source of salinity) were screened for salinity tolerance in the IRRI phytotron in the Philippines (E1) and in two other diverse environments in Senegal (E2) and Tanzania (E3). QTLs were mapped for traits related to salinity tolerance at the seedling stage.

Results

The RILs were genotyped using 194 polymorphic SNPs (single nucleotide polymorphisms). After removing segregation distortion markers (SDM), a total of 145 and 135 SNPs were used to construct a genetic linkage map with a length of 1655 and 1662 cM, with an average marker density of 11.4 cM in E1 and 12.3 cM in E2 and E3, respectively. A total of 34 QTLs were identified on 10 chromosomes for five traits using ICIM-ADD and segregation distortion locus (SDL) mapping (IM-ADD) under salinity stress across environments. Eight major genomic regions on chromosome 1 between 170 and 175 cM (qSES1.3, qSES1.4, qSL1.2, qSL1.3, qRL1.1, qRL1.2, qFWsht1.2, qDWsht1.2), chromosome 4 at 32 cM (qSES4.1, qFWsht4.2, qDWsht4.2), chromosome 6 at 115 cM (qFWsht6.1, qDWsht6.1), chromosome 8 at 105 cM (qFWsht8.1, qDWsht8.1), and chromosome 12 at 78 cM (qFWsht12.1, qDWsht12.1) have co-localized QTLs for the multiple traits that might be governing seedling stage salinity tolerance through multiple traits in different phenotyping environments, thus suggesting these as hot spots for tolerance of salinity. Forty-nine and 30 significant pair-wise epistatic interactions were detected between QTL-linked and QTL-unlinked regions using single-environment and multi-environment analyses.

Conclusions

The identification of genomic regions for salinity tolerance in the RILs showed that Hasawi possesses alleles that are novel for salinity tolerance. The common regions for the multiple QTLs across environments as co-localized regions on chromosomes 1, 4, 6, 8, and 12 could be due to linkage or pleiotropic effect, which might be helpful for multiple QTL introgression for marker-assisted breeding programs to improve the salinity tolerance of adaptive and popular but otherwise salinity-sensitive rice varieties.