不同基质配比对温室番茄幼苗生长及叶绿素荧光参数的影响

以番茄品种"福美十号"为材料,采用随机区组试验设计,研究不同基质配比对番茄幼苗生长与叶片叶绿素荧光参数的影响。结果表明:采用A3[V(草炭)∶V(玉米秸秆)∶V(牛粪)∶V(食用菌下脚料)∶V(蛭石)=1∶2∶0.5∶0.5∶1]的基质配比,幼苗在出苗率、株高、茎粗、叶片数和根冠比等性状上表现最优,分别为98.25%、44.60 cm、0.50 cm、9.12片与7.95;叶片光系统Ⅱ(PSIⅡ)原初光能转化效率(Fv/Fm)与PSⅡ潜在活性(Fv/Fo)的值在幼苗生长前期、中期和末期也均为最高,Fv/Fm值分别为0.82、0.74和0.79,Fv/Fo值分别为3.92、2.97和3.23;其叶片内丙二醛(MDA)含量最低为6.02μmol/g,其根系活力最强、超氧化物歧化酶(SOD)、过氧化物酶(POD)与可溶性蛋白含量等指标最高,分别为158.26μg/(g·h)、386.23 U/g、6.26 U/(g·min)和0.203 mg/g,显著高于其他处理。说明采用处理A3的基质配比更适宜于番茄幼苗的生长。     

农产品监测预警模型集群构建理论方法与应用

【目的】农产品供给与需求的准确分析测定,是农业监测预警能力提升的重要表现。构建产品多品种多环节模型集群理论方法,可高效解决单一环节或单一模型难以解决的分析技术难题。【方法】在农产品供需的重要要素即生产量、消费量、贸易量、价格等分析预测过程中,针对农产品品种间关联性强,自然、社会、经济诸多影响因素纠缠,模型多变量强耦合、非线性、参数时变的特点,提出多品种农产品“因素分类解耦、参数转用适配”方法,以构建多时空维度的监测预警模型集群。【结果】利用“因素分类解耦、参数转用适配”技术方法,研究构建了不同农产品的生产类、消费类、贸易类、价格类的模型集群。这些模型集群可用于对不同时空维度的水稻、玉米、小麦、肉类等主要农产品供需的长中短期的分析预测,支撑形成了农业展望中的主要农产品平衡表,其中主要农产品全国年度生产量6年平均预测精度高于97%。【结论】研究提出的农产品监测预警模型集群构建理论及其方法,有效提升了农产品多品种模型集群的求解效率和准确率,增强了农产品供需分析预测的系统性与智能性,为系统揭示农产品复杂的时空供需变化特征、促进农产品市场调控科学性和可预见性,提供了新技术方法。     

一类具有饱和发生率的虫媒传染病模型研究

考虑虫媒传染病具有潜伏期的特征,研究了一类具有饱和发生率的时滞传染病模型的动力学行为,确定了疾病是否流行的阈值R_0.当R_01时,无病平衡点全局渐近稳定,疾病将最终灭绝;当R_01时,唯一地方病平衡点条件稳定,系统会产生Hopf分支.     

杜仲杂种优良无性系抗旱性间接评价

以7个杜仲无性系22-22、2-23、4-30、17-17、2-32、6-30、5-152和2个对照品种（无性系）秦仲2号（Qinzhong No.2）、龙拐（Longguai）为对象，以其2年生嫁接苗成熟叶片为材料，采用常规石蜡切片法研究叶片解剖结构、扫描电镜技术观察气孔结构和压力室技术测定水分生理指标，用主成分分析法筛选主要指标，用隶属函数法对各无性系抗旱性进行对比分析。结果表明，共筛选出栅栏组织厚度、原初渗透势、气孔开度、厚角组织厚度4项主要指标，12项解剖结构参数、5项水分生理指数和5项气孔参数，均在无性系间差异显著，无性系抗旱性排序为:6-30>4-30>龙拐>秦仲2号>17-17>5-152>22-22>2-23>2-32。研究结果可对进一步筛选杜仲优良无性系提供参考依据。     

温室黄瓜发育期模拟模型的检验

针对作物生育期研究主要有3种方法:有效积温法、生理发育时间法和正弦指数函数法。试验选取不同温室不同茬口黄瓜的发育期数据和温室环境数据对3种发育期模拟模型方法进行验证。温室黄瓜发育期的预测结果表明,正弦指数函数法预测准确而稳定,回归估计标准误差(RMSE)在0.8~2.4d之间,以每日平均气温和每小时平均气温为输入值的生理发育时间法RMSE值分别在0.8~6.1和0.8~7.0d,有效积温法1.3~6.2d。基于以上验证结果,3种模拟预测发育期方法中,正弦指数函数法表现出较好的预测性和较强的机理性,适用于作物发育期的预测。     

大学生兼职法律问题探析

大学生兼职已成为普遍现象,但在兼职的过程中其权益经常被损害。只有进一步完善相关法律制度,公权部门加强联动,用人单位增强社会责任意识,学校加大教育引导力度,学生提高自我保护意识等多管齐下,才能更好地保障兼职大学生的合法权益。     

Effect of climate change on Spodoptera litura Fab. on peanut: A life table approach

Investigations were conducted to understand the direct effects of rising temperature and the host-mediated effects of elevated CO₂ (eCO₂) on Spodoptera litura (Fabricius) (Noctuidae: Lepidoptera). This study involved i. the construction of life tables of S. litura at six constant temperatures viz., 20, 25, 27, 30, 33 and 35°C ± 0.5 °C reared on peanut (Arachis hypogaea L.) grown under eCO₂ (550 ppm) concentration in open top chambers ii. Estimation of threshold temperatures and thermal constants and iii. Prediction of the pest scenarios during near and distant future climate change periods. Significantly lower leaf nitrogen, higher carbon and a higher relative proportion of carbon to nitrogen (C:N) were observed in peanut foliage grown under eCO₂ over ambient CO₂ (aCO₂). The mean development time (days) of each stage, egg, larva, pupa, pre-oviposition and total life span decreased from 20 to 35 °C temperature on eCO₂ foliage. The thermal requirement of S. litura from egg to egg (within the range of 20 °C–35 °C) was 538.5 DD on eCO₂ as against 494.5 DD on aCO₂ foliage. Finite (λ) and intrinsic rates of increase (r_m), net reproductive rate (R_o), mean generation time (T) and doubling time (DT) of S. litura varied significantly with temperature and CO₂ and were found to have quadratic relationships with temperature. The present results on life table parameters estimated by the bootstrap technique showed that the ‘r_m’ values of S. litura on eCO₂ foliage were higher than those in the literature indicating a significant influence of eCO₂. The reduction of ‘T’ was noticed from a maximum of 50 days at 20 °C to minimum of 22 days at 35 °C and ‘λ’ which is the indicator of reproductive value of new eggs was highest at 35 °C and showed a negative relationship with temperature. The data on these life table parameters were plotted against temperature and two non-linear models developed for both CO₂ conditions and used for predicting the pest scenarios. Prediction of pest scenarios based on PRECIS A1B emission scenario data at eleven peanut growing locations of the country during near future (NF) and distant future (DF) climate change periods showed an increase of ‘r_m’ and ‘λ’ with varied ‘R_o’ and reduced ‘T’. The present results indicate that temperature and CO₂ are vital in influencing the growth and life table parameters of S. litura and that pest incidence is likely to be higher in the future.     

Aphanomyces astaci presence in Japan: a threat to the endemic and endangered crayfish species Cambaroides japonicus?

1. Spread of the crayfish plague pathogen, Aphanomyces astaci, by North American crayfish species is considered one of the main reasons for substantial declines and local extinctions of native European crayfish populations. Owing to human introductions, several American crayfish species have become established throughout the world, and thus pose a potential threat to indigenous crayfish populations susceptible to crayfish plague.
2. In Japan, two such widespread alien species, Procambarus clarkii and Pacifastacus leniusculus, were introduced for aquaculture purposes in the late 1920s and since then successfully expanded their ranges.
3. Aggressive interactions with alien crayfish along with habitat modifications have been considered primarily responsible for drastic declines in populations of the Japanese endemic crayfish, Cambaroides japonicus, observed in the last few decades. However, the presence of the crayfish plague pathogen, to which Japanese crayfish are susceptible, may be expected, and could contribute to these declines.
4. Only recently, A. astaci has been reported from Taiwan, and to our knowledge no study focusing on its presence outside of the Western Palearctic has been conducted.
5. To fill this gap, 54 P. clarkii and 47 P. leniusculus individuals from five different Japanese locations were screened using molecular methods recommended by the World Organization for Animal Health. Aphanomyces astaci DNA was detected in all studied populations, altogether in 61% and 21% of examined individuals of P. clarkii and P. leniusculus, respectively.
6. The results provide the first evidence of A. astaci presence in Japan and highlight the threat of pathogen transmission to C. japonicus populations.

Copyright © 2016 John Wiley & Sons, Ltd.     

A new lean no time test baking method with improved discriminating power

In response to customer concerns related to gluten strength in commercial baking, the Canadian Grain Commission assessed whether the Canadian Short Process (CSP) test bake method was generating useful data related to intrinsic strength of wheat varieties. Assessment of CSP loaf volume data for Canadian variety trials spanning 2003 to 2013 showed very little correlation with dough strength parameters as measured by farinograph and extensigraph. A lean no time (LNT) test baking method was developed that can better discriminate genotypes and provide objective indicators of the effect of intrinsic dough strength on baking quality. From early method development, through method validation and verification using diverse sets of samples targeting different Canadian wheat classes and grown in three different crop years, results showed the LNT method to be more discriminating and easily adopted by other laboratories. In 2015, the LNT method was adopted as the method of choice in future Canadian variety registration trials. The LNT method is fast, simple and well-suited to high throughput test baking conditions encountered in the evaluation of large numbers of breeder lines. A new objective parameter, loaf top ratio, was also introduced and found to correlate well with dough strength and dough handling properties.     

Quantitative trait loci for fruit size and flowering time-related traits under domestication and diversifying selection in cucumber (Cucumis sativus)

In cucumber, the genetic basis of traits under domestication and/or diversifying selection is not well understood. Here, we reported QTL mapping for flowering time and fruit size-related traits with segregating populations derived from a cultivated × wild cross. Phenotypic data of flowering time (FT), fruit size (FS), fruit number (FN) and fruit weight per plant (FW) were collected in multiple environments. QTL analysis identified 19 QTL for these traits. We found that the major-effect QTL FT1.1 played an important role in regulating flowering time in cultivated cucumber, whereas the minor-effect QTL FT6.3 contributed to photoperiod sensitive flowering time during domestication. Two novel consensus FS QTL, FS1.4 and FS2.3, seem to be the targets of selection during breeding for the US processing cucumber. All other FS QTL were co-localized with previously detected QTL using populations derived from cultivated cucumbers, suggesting that they were under selection during both initial domestication and subsequent improvement. Results from this study also suggested that the wild cucumber is a useful resource for capturing positive transgressive segregation and novel alleles that could be explored in cucumber breeding.