面向老龄化社会的户外环境植物景观与健康效益评价模型建构

为了促进国内基于健康视角下户外植物景观可量化评价机制的形成与完善，归纳总结了健康景观以及普通植物景观中广泛存在的对人身心健康有促进作用的因素——植物的健康效益。从植物景观对人身心健康的影响机制手，分析户外景观环境中健康性要素构成，深入探究植物景观与老年人身心健康的作用机理，并初步构建了基于植物健康效益的适老性户外植物景观评价指标体系。     

环剥与不同环割方法对糯米糍荔枝增产效应的研究

对糯米糍荔枝进行螺旋环剥与不同方法环割研究螺旋环剥与不同的环割方法对糍米糯荔枝冬梢的控制促花、保果增产效应的影响。研究结果表明螺旋环剥和不同环割方法在控稍促花方面能有效的控制糯米糍荔枝冬梢的萌发与促进花和花穗的生成；在保果增产方面，螺旋环剥、环割2处与同株50%主干枝条环割2处都能增加糯米糍荔枝的果穗枝条数与株产量，但环割1处反而降低了糯米糍荔枝的果穗枝条数与株产量。     

不同灌水量对秸秆生物反应堆条件下番茄生长及产量的影响

为进一步完善秸秆生物反应堆技术的可操作性和实用性,通过在秋冬茬番茄上应用膜下滴灌的行下式玉米秸秆生物反应堆技术,分析不同灌水量对番茄生长指标及产量的影响。试验结果表明:常规灌水量下秸秆腐熟程度最好;667 m~2灌水量下浮30%较常规处理节水18.71 m~3、增产1 008.84 kg,节水增产效果明显。     

不同遮荫处理对草莓花芽分化和生长发育的影响

以“红颜”草莓作为试验材料，用遮光度为40%、60%、80%的遮阳网分别对草莓幼苗进行遮荫处理，研究遮荫对草莓花芽分化的影响。结果表明:遮荫对草莓花芽分化时期有明显影响，但不影响植株正常的生长发育。不同程度的遮荫处理都促进了草莓花芽的提早分化，其中遮荫度为40%的处理效果最好 ，比对照提早9 d开始花芽分化，其他处理均提早6 d开始花芽分化。     

内共生菌Buchnera对桃蚜生长发育的影响

为明确桃蚜内共生菌Buchnera aphidicola对桃蚜生长发育和繁殖的影响,为有效控制桃蚜提供新的思路,本试验以十字花科(萝卜)、茄科(辣椒)和葫芦科(黄瓜)蔬菜为试材,比较健康桃蚜和利福平处理后的桃蚜在3种蔬菜上的生长发育和繁殖情况。结果表明,不同浓度利福平处理后桃蚜Buchnera的DNAK基因表达量均显著降低;200μg·m L-1利福平处理后的桃蚜产蚜量、寿命和体重都显著低于健康桃蚜。说明桃蚜的内共生菌Buchnera在其生长发育过程中起着非常重要的作用,降低内共生菌的量对桃蚜可产生不利影响。     

不同基础培养基对漏斗形马勃菌丝体生长的影响

[目的]研究漏斗形马勃在7种不同基础培养基上的生长情况。[方法]采用7种基础培养基进行试验,通过液体和固体培养,以菌丝体生物量及菌落直径为指标,确定漏斗形马勃的最佳基础培养基。[结果]最适合漏斗形马勃生长的基础培养基配方为玉米渣4%、蛋白胨0.3%、蔗糖2%、KH2PO41%、Mg SO40.05%。在28℃和摇床转速150 r/min条件下,液体培养5 d后的菌丝体干重为16.56 g/L。在28℃固体培养7 d,菌丝体鲜重和干重分别为16.47和2.27 g/L,菌落直径为4.49 cm。[结论]该研究为漏斗形马勃培养条件的进一步优化奠定了基础。     

不同施肥模式对‘企黑’墨兰生长影响研究

[目的]筛选盆栽墨兰适宜的施肥模式.[方法]根据墨兰体内氮、磷和钾含量的特点,结合目前生产者对墨兰进行施肥的主要模式及相关的文献资料,设计出8种施肥模式对‘企黑’墨兰进行生长的比较试验,测定26个形态和生理指标.[结果]不同施肥模式对墨兰生长的21个指标都存在显著性影响.[结论]综合各生长指标来看,对‘企黑’墨兰生长最优的施肥模式是:4、7和10月每袋各施1次N-P2O5-K2O=14-14-14的缓释肥8 g,同时在4～9月每半个月每袋淋施1次800倍液的N-P2O5-K2O=30-10-10水溶肥150 ml,在10～12月每半个月每袋淋施1次800倍液的N-P2O5-K2O=15-5-30水溶肥150 ml.     

湘南典型残次阔叶林人工促进更新技术研究

于2003年在湖南省汝城县益将国有林场天然残次阔叶林内设置试验样地和对照样地各3个,采用林地清理、补植、补播等手段促进天然更新,并分别于2006年和2011年进行2次人工促进干预;同时,在6个样地内各设置3个样方,共计18个样方,分别于2003、2008、2013年冬,对幼树、幼苗、萌条的数量及地径进行统计,并对样方内胸径≥5 cm的立木进行每木调查。结果表明:种子补播保存率43%,幼苗补植保存率20%,平均保存率32%。树高≤30 cm且地径0.5 cm、31 cm≤树高≤50 cm且0.5 cm地径0.7 cm幼树的数量下降率分别是对照样地的17.5%、21.59%,树高≥51 cm且地径0.7 cm幼树的数量下降率是对照样地的121.66%。2008年单位面积蓄积量是对照样地的2.28倍,2013年达到3.80倍;经过10年更新,单位面积蓄积量是试验前的11.57倍,对照样地单位面积蓄积量仅是试验前的2.55倍;单位面积蓄积量是对照样地的4.54倍。人工促进天然更新所需的人工成本为1 860元/hm2,仅为同期人工营造杉木幼林所需人工成本5 310元/hm2的35%。     

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.