新型蔬菜专用肥在叶菜上的使用效果

新型蔬菜专用肥采用N、P、K和含粘土矿物、Ca、Mg及其他微量元素的营养型土壤改良剂复配而成。大田试验表明，在三种叶菜上的增产效果优于进口复合肥和国内常用的复混肥料，增产率分别达6.52%-13.2%和6.4%-27.5%，收益分别增加13.3%-23.6%和7.2%-32.9%，施用新型蔬菜专用叶面肥具有提高土壤pH值，增加代换性Ca和Mg，提高土壤有效N、P、K的效果。     

以固氮树种发展食用菌专用林的建议

许多固氮树种速生丰产，萌生能力强，叶片，木屑含氮率较高，可为食用菌栽培提供理想原料，而且固氮树种在绿花荒山，保持水土，提高地力方面作用显著，以固氮树种发展短轮伐期食用菌专用林，具有较高的经济效益和生态效益，本文介绍了银合欢，黑荆，大叶相思，银荆，桤木，南洋楹和马占相思等在食用菌栽培上的应用概况，各地可因地制宜栽培合适的固氮树种作为食用菌专用林。     

黄瓜叶色突变体遗传机制的研究

 从黄瓜雌性系9110G中发现能稳定遗传的叶色突变体。该突变体子叶和第1～2片真叶最初为金黄色，叶绿素含量约为正常株的3／5，但随着叶片的生长这些叶片逐渐转绿。该突变体叶色黄主要是由叶绿素降低引起的，与类胡萝卜素无关。通过对亲本、F。、BE及F2后代观察和叶绿素测定，证明该突变体是细胞核遗传，由单一隐性基因控制，并且绿色对黄色为不完全显性。该突变性状是研究光合系统和基因定位的好材料，同时也可用来作为指示性状鉴定杂种纯度。     

铺散诸葛菜的组织培养及植株再生

 以铺散诸葛菜的叶柄及叶片为外植体, 研究了不同的再生方式。在6-BA 和NAA 配合使用的MS 培养基上, 叶柄和叶片外植体有高的成芽率, 具有强的器官再生能力。在2,4-D 与6-BA、NAA 结合的培养基上, 叶柄和叶片有较高的愈伤组织诱导率, 在含6-BA 的培养基上也易于分化。叶柄、叶片再生的芽和经愈伤组织分化而得来的芽快速繁殖后, 在生根培养基上形成完整植株。研究表明铺散诸葛菜具有极强的器官分化能力。     

胞质雄性不育性在叶用芥菜上的利用

以从美国威斯康星大学引进的叶用芥菜胞质雄性不育系叶用4-4为母本,以泰国清迈大学选育出的8个优良叶用芥菜品种为转育父本,杂交后连续回交4代(BC4),再将BC4与优良叶用芥菜品种40R2-3-4配制8个杂交组合,其中2个组合(4-4 × 19-H-12)×40R2-3-4和(4-4 × 2R2)×40R2-3-4结球率为100％,产量比商用品种分别高34％和13％,比其亲本分别高25％和5％。     

桑叶养猪实用技术

桑叶养猪实用技术分为桑树种植技术和桑叶干粉发酵养猪技术两个部分。利用荒地种植桑树,降低生猪养殖饲养成本,桑叶养猪种养结合,成为生态农业典范。桑叶干粉发酵技术,提高了桑叶干粉的可消化率和饲料功能。桑叶干粉发酵料占配方6%~10%,做成桑叶猪饲料,替代3%~5%鱼粉、豆粕等蛋白质饲料,节约了饲料成本。桑叶喂养猪(简称桑叶猪,下同)的猪肉中含有肌苷酸等风味物质,显著提高猪肉胴体品质和猪肉风味。设计猪尿处理,采用红泥膜沼气池降解工程工艺应用后,降解水兑2倍清水对桑树喷灌工艺,减少人工处理劳力和成本费用。设计10%抗非洲猪瘟中药饲料添加剂+桑叶饲料,预期防治非洲猪瘟总效果85%以上。桑叶养猪实用技术可行,供同行参考。     

How do timing,duration, and intensity of drought stress affect the agronomic performance of winter rye?

Winter rye (Secale cereale L.) will be especially affected by drought induced yield losses in Central and Eastern Europe in the future because it is predominantly cultivated on low-fertile soils with a poor water-holding capacity. In order to examine the performance of winter rye under different drought conditions, field experiments were carried out during the years 2011, 2012, and 2013 near Braunschweig, Germany. Two sets of genotypes were tested under severe, mild, pre-anthesis, and post-anthesis drought stress in rain-out shelters as well as under rainfed and well-watered conditions. The grain, straw, and total above ground biomass yields, harvest index, grain yield components, leaf area index (LAI), and phenological characteristics were examined, as well as phenotypic correlations between grain yield and further characteristics. Drought induced grain yield reduction ranged from 14 to 57%, while straw yield and harvest index were lesser affected by drought than the grain yield. Under drought conditions, fully ripe was reached up to twelve days earlier than under non water-limited conditions. Pre-anthesis drought mainly reduced spikes m⁻² and kernels spike⁻¹ while drought during grain filling reduced the 1000-kernel weight (TKW) only. The grain yield was positively associated with straw yield, spikes m⁻², and kernels spike⁻¹ under water limited conditions while the TWK was only positively associated with grain yield under drought during grain filling. Consequently, high pre-anthesis biomass as well as high numbers of spikes m⁻² and kernels spike⁻¹ are especially important for obtaining high grain yields under water-limited conditions. Focusing on these traits is, therefore, recommendable for developing drought tolerant rye genotypes.     

桫椤科2属6种植物叶表皮微形态特征及其分类学意义

利用扫描电子显微镜对桫椤科2属6种叶表面角质膜纹饰、表皮毛、气孔器类型、气孔器大小等叶表皮微形态特征进行观察和比较，探讨其分类学意义，编制供试2属6种分类检索表。结果表明：2属6种叶表皮表面角质膜纹饰均为脊状，气孔器大小无显著差异，气孔器类型均为平列型。表皮毛共有4种（囊状毛、片状毛、须状毛、盾状鳞），种间表皮毛差异较大，其中白桫椤表皮毛最丰富。黑桫椤副卫细胞有泡状突起，白桫椤副卫细胞有皱褶，其余4种副卫细胞表面均光滑无纹饰。笔筒树气孔器周围有绒毛层覆盖。黑桫椤、笔筒树气孔器表面有晶体。本研究结果表明2属6种叶表皮微形态特征多样性较为丰富，这些特征可作为种间鉴别的参考依据。     

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.