9种药剂对斜纹夜蛾的室内毒力与田间应用效果

通过室内毒力测定和田间药效试验,测定当前9种主流杀虫剂产品对斜纹夜蛾的防治效果。结果表明,甲维盐、茚虫威、虫螨腈和虫酰肼对斜纹夜蛾具有优良的防效,可作为防治斜纹夜蛾的首选药剂。Bt与多杀菌素的效果次之。阿维菌素、高效氯氰菊酯和毒死蜱对斜纹夜蛾已逐渐失去控制作用,在生产中应尽量少用、慎用。     

广西主要蔗区宿根蔗根际土壤微生物群落结构分析

探讨了广西主要蔗区宿根蔗根际土壤微生物的分布情况,结果表明：宿根蔗根际土壤微生物数量总体上表现为：细菌〉真菌〉放线菌。但宜州市和北海市土壤中真菌数量〉放线菌;崇左市土壤中真菌和放线菌相当。     

不同处理对锦橙贮藏效果的影响

为了测定不同处理对柑橘的贮藏效果,以锦橙果实为材料,对经不同果蜡(402F、自备蜡A、自备虫胶蜡B、自备蜡A与虫胶蜡B混合蜡液(A∶B=3∶7))及苹果包装处理后置于常温下贮藏果实的理化指标进行分析.结果表明,涂蜡和单果包装处理均能提高果实亮度、减少果实失重、降低腐烂率,其中以自备虫胶蜡B处理提高亮度最好,单果包装处理抑制果实失重显著优于其他处理,自备虫胶蜡B和自备蜡A与虫胶蜡B混合蜡液(A∶B=3∶7)降低腐烂率作用较为显著.     

土壤团聚体有机碳研究进展

土壤有机碳是衡量土壤肥力的重要指标,对于促进土壤养分循环、增加养分有效性有重要作用.土壤团聚体是土壤的重要组成部分,是组成土壤结构的最小单元,受到自然因素和人为因素的影响,其形成转化过程与土壤固碳过程息息相关,因而研究团聚体和有机碳的关系及团聚体有机碳影响因素对于土壤结构的改善和土壤质量的提升具有重要意义.本文通过对文...     

苎麻人工种子在不同条件下的发芽特性与贮藏特性

本文对苎麻人工种子无菌条件、有菌土壤上的发芽特性及其贮藏特性进行了深入研究。芝麻不定芽人工种子在１／４ＭＳ发芽基质上１００％发芽、１００％生根；无菌滤纸上７１％发芽、２９％生根；在胶囊内添１００ｕ／ｍｌ青霉素、０．１％ＣＴＭ作为防腐剂制作的人工种子播种到沙石肥土中，有１５．３％发芽、８．２％生根；将低温和液体石蜡相结合贮藏芝麻人工种子１２０ｄ后取出播种到１／４ＭＳ发芽基质上２５％发芽、５％生根。单用低温、液体石蜡都不能长时间贮藏苎麻人工种子。     

地膜覆盖栽培对春小麦叶片衰老特性的影响

为了揭示春小麦在地膜栽培条件下是否早衰的问题,采用管栽模拟试验的方法,研究了地膜覆盖和露地栽培条件下春小麦叶片的叶绿素、蛋白质、叶片丙二醛(M DA)含量和细胞质膜相对透性的变化。结果表明,采用地膜覆盖栽培方法,在春小麦生长前期能明显提高叶片叶绿素和蛋白质的含量(日均增加量分别比露地春小麦高31.49%和7.94%),但后期又会加速其降解速率;M DA含量和细胞质膜相对透性均表现为覆膜处理高于露地处理(日均增加量分别比露地春小麦高71.96%~11.78%和2.42%~9.57%)。说明覆膜栽培可使春小麦提前进入正常衰老阶段,但由于其增温、保湿等效应,使春小麦生长量增加,穗粒数和穗粒重比露地春小麦提高22.95%和27.68%,表现出良好的增产效应。     

全封闭石灰窑在制糖生产中的应用

本文介绍了全封闭石灰窑的使用情况，并对使用效果和经济效益进行了分析。     

A specialist-generalist classification of the arable flora and its response to changes in agricultural practices

Background  

Theory in ecology points out the potential link between the degree of specialisation of organisms and their responses to disturbances and suggests that this could be a key element for understanding the assembly of communities. We evaluated this question for the arable weed flora as this group has scarcely been the focus of ecological studies so far and because weeds are restricted to habitats characterised by very high degrees of disturbance. As such, weeds offer a case study to ask how specialization relates to abundance and distribution of species in relation to the varying disturbance regimes occurring in arable crops.     

Gas sensor array for blueberry fruit disease detection and classification

A conducting polymer gas sensor array (electronic nose) was evaluated for detecting and classifying three common postharvest diseases of blueberry fruit: gray mold caused by Botrytis cinerea, anthracnose caused by Colletotrichum gloeosporioides, and Alternaria rot caused by Alternaria sp. Samples of ripe rabbiteye blueberries (Vaccinium virgatum cv. Brightwell) were inoculated individually with one of the three pathogens or left non-inoculated, and volatiles emanating from the fruit were assessed using the gas sensor array 6–10 d after inoculation in two separate experiments. Principal component analysis of volatile profiles revealed four distinct groups corresponding to the four inoculation treatments. MANOVA, conducted on profiles from individual assessment days or from combined data, confirmed that the four treatments were significantly different (P < 0.0001). A hierarchical cluster analysis indicated two super-clusters, i.e., control cluster (non-inoculated fruit) vs. pathogen cluster (inoculated fruit). Within the pathogen cluster, fruit infected by B. cinerea and Alternaria sp. were more similar to each other than to fruit infected by C. gloeosporioides. A linear Bayesian classifier achieved 90% overall correct classification for data from experiment 1. Tenax? trapping of volatiles with short-path thermal desorption and quantification by gas chromatography–mass spectrometry was used to characterize volatile compounds emanated from the four groups of berries. Six compounds [styrene, 1-methyl-2-(1-methylethyl) benzene, eucalyptol, undecane, 5-methyl-2-(1-methylethyl)-2-cyclohexen-1-one, and thujopsene] were identified as contributing most in distinguishing differences in the volatiles emanating from the fruit due to infection. A canonical discriminant analysis model using the relative concentration of each of these compounds was developed and successfully classified the four categories of berries. This study underscores the potential feasibility of using a gas sensor array for blueberry postharvest quality assessment and fungal disease detection.