覆膜滴灌玉米产量和农艺性状相关性分析

为明确在覆膜滴灌条件下玉米品系(种)主要农艺性状与产量的关系,应用DPS软件对15个玉米杂交品系(种)的主要农艺性状和产量性状进行相关性、灰色关联度等分析,结果表明:籽粒重、穗重、产量的变异系数较大;玉米产量与生育期、籽粒水分含量、穗重、籽粒重呈显著正相关关系;聚类分析可将参试的15个品系(种)划分为3类,第Ⅲ类表现良好,值得进行推广种植。灰色关联度分析表明,玉米籽粒重、穗重、生育期、籽粒水分含量等性状是影响玉米产量的主导因素,在玉米高产育种中,应以其为主攻目标,提高玉米后代的有效选择,加速高产育种进程。     

甘蔗引进新品种(系)的试验表现及评价

为筛选出高产、高糖、综合性状表现较好的甘蔗新品种充实蔗区,对17个国内外甘蔗引进新品种(系)进行了1年新植1年宿根种性比较试验。结果表明,平均蔗茎产量显著高于新台糖22号的参试品种有SP80-3280、K86-110、ISD24、FR93-344、CP84-1591、VMC88-354和K82-129,增产10.54%~21.47%。平均蔗糖分含量高于新台糖22号的参试品种有VMC71-39、CP94-1100、FR93-435和云蔗03-258,蔗糖分含量提高0.2~1.4个百分点。     

北京水系中腐霉和疫腐霉种类调查

为研究北京地区水系中腐霉和疫腐霉种类分布,采用叶饵法从北京水系中诱集菌株,共分离到腐霉、疫腐霉182株,利用Single-strand conformation polymorphism (SSCP)进行分析,筛选出不同基因型的代表菌株,并依据形态学特征及ITS序列对这些菌株进行种类鉴定。结果共发现6个已知种和3个可能的新种,其中:湖滨疫腐霉Phytopythium litorale和果胶裂解腐霉Pythium pectinolyticum为国内新记录种;旋柄疫腐霉Pp.helicoides、异丝腐霉P.diclinum、簇囊腐霉P.torulosum和袋囊腐霉P.marsipium为北京地区新记录种。研究结果可为未来监测北京地区水系中病原菌的分布情况提供基础数据。     

农业科技期刊栏目学术影响力的评价—以《热带作物学报》为例

根据中国知网中检索《热带作物学报》2010~2014年发表论文的关键词词频、被引频次、下载频次、论文作者等数据统计栏目篇被引频次、下载频次和影响因子情况，分析农业科技期刊栏目的学术影响力。结果表明：2010~2014年《热带作物学报》文章涉及的主要热带作物为橡胶树、木薯、甘蔗、香蕉、水稻、荔枝、龙眼、芒果和番木瓜等；论文内容涵盖作物营养、栽培与遗传育种，植物生理生化，生物技术与组织培养，作物病虫害及其防治、环境保护，农产品加工与分析检测、综述等6个栏目，其中综述栏目的影响因子最高，发表论文较多的作者文章均属于生物技术栏目。综合上述分析结果，提出了策划精品栏目、加强编辑栏目组稿、针对综述栏目约稿、开辟学术探讨窗口、借助新媒体打造栏目特色等建议，以体现本刊的专业特色和刊物宗旨，将成为读者阅读的向导和作者撰稿的指南。     

荞麦抗旱性研究进展

荞麦是一种珍贵的药食同源作物,随着人们对健康饮食的逐渐重视,荞麦及其加工产品在人们生活中的地位越发重要。中国拥有丰富的荞麦资源,多种植在干旱或半干旱的冷凉高原山区及边远山区。干旱严重影响荞麦的产量和品质,提高荞麦抗旱性在荞麦生产中起着重要的作用。为此,从干旱对荞麦形态特征、抗旱性的生理生化基础、干旱对荞麦产量及品质的影响等方面阐述了荞麦抗旱性的研究进展,并对荞麦抗旱分子机理方面的研究进行了展望。     

防灾型城市绿地的园林植物应用

探讨园林植物在防灾避难方面的功能,提出园林植物应用的配置原则,对防震、防火和防洪等功能的园林植物种类的选择进行论述,为今后防灾型城市绿地的园林植物应用提供参考。     

云南省食用菌产业技术标准体系建设研究

分析了食用菌标准化现状，归纳目前食用菌标准体系存在的主要问题，提出云南省食用菌标准体系建设的原则与依据，按照产前、产中、产后划分标准类别，构建云南省食用菌产业技术标准体系。     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.