白菜型冬油菜叶片结构和光合特性对冬前低温的响应

为明确白菜型冬油菜在冬前低温下叶片结构特征、光合作用特性及其抗寒性,本研究在0℃和–7.6℃自然低温条件下,选用白菜型冬油菜品种陇油7号(超强抗寒)和天油4号(弱抗寒),测定并比较其叶片气孔性状、解剖结构和光合、荧光参数的日变化等指标。结果表明,随着冬前温度下降,2个白菜型冬油菜叶片气孔密度、气孔面积、气孔周长、栅栏组织和海绵组织厚度均变小,细胞间隙变大,叶片变薄;P_n日变化呈"单峰"型曲线,无光合"午休"现象;叶片的P_n、G_s、T_r和CE均降低,而C_i均升高,说明是非气孔限制引起P_n降低。白菜型冬油菜在冬前低温条件下发生了光抑制现象,表现为F_m和F_v/F_m下降,F_o上升。与超强抗寒品种陇油7号相比,弱抗寒品种天油4号叶片气孔密度和气孔面积均较大,气孔总周长较长,叶片较厚,P_n、F_m和F_v/F_m均较高,说明冬前低温条件下,天油4号光合能力较强,光抑制程度较弱。白菜型冬油菜在冬前低温条件下的叶片气孔密度越大、气孔面积越大、气孔周长越长、叶片及栅栏组织和海绵组织越厚,光合能力越强,地上部生长越旺盛,品种抗寒性越差。本研究为冬油菜抗寒种质创新和育种提供了部分理论支撑。     

Quality assessment of three warm-season turfgrasses growing in different substrate depths on shallow green roof systems

In an effort to increase the accessibility and functionality of shallow green roof systems, the ability of warm-season grasses to provide acceptable growth needs to be further investigated. In the current study, which was conducted during 2011 and 2012, three warm-season grasses (hybrid bermudagrass, Cynodon dactylon (L.) Pers. x C. transvaalensis Burtt-Davy ‘MiniVerde’; seashore paspalum, Paspalum vaginatum Swartz ‘Platinum TE’ and zoysiagrass, Zoysia japonica Steud. ‘Zenith’) were established in outdoor lysimeters. The lysimeters were equipped with all necessary green roof layers placed below a coarse-textured substrate that comprised pumice, thermally treated attapulgite clay, peat, compost and zeolite. Half of the lysimeters had a substrate depth of 15 cm, while the other half had a substrate depth of 7.5 cm. Irrigation was applied at crop evapotranspiration (ET_c). Measurements included determination of substrate moisture content, green turf cover (GTC) and leaf stomatal resistance. Significant differences were observed in the values of GTC among the three turfgrass species and the two substrate depths. Zoysiagrass exhibited the best adaptation at the lower depths of shallow green roof systems. At 15 cm substrate depth, zoysiagrass managed to sustain green coverage for the two study periods. In addition, it was the only turfgrass species that managed to perform well at the substrate depth of 7.5 cm. Seashore paspalum exhibited limited green cover at both substrate depths, while hybrid bermudagrass could provide acceptable green coverage only at 15 cm substrate depth.     

几种杀菌剂对猕猴桃主要真菌性叶斑病菌的室内毒力测定

猕猴桃假尾孢Psedocercospora actinidiae Deighton和叶点霉菌Phyllosticta sp．是引起猕猴桃生长期的两种主要真菌病害。为了能筛选到对猕猴桃假尾孢和叶点霉菌具有高效抑制作用的杀菌剂，本文采用茵丝生长速率法测定了几种杀菌剂的毒力，结果表明，除腈菌唑外其余几种杀菌剂均可作为猕猴桃主要叶斑病的田间药效试验的首选药剂。     

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.     

Regulated deficit irrigation effects on growth, yield, grape quality and individual anthocyanin composition in Vitis vinifera L. cv. ‘Tempranillo’

Regulated Deficit Irrigation (RDI) is an irrigation scheduling technique, originally developed for fruit orchards, that has been successfully adapted for winegrape production. The aim of this work is to evaluate the effect of RDI in vegetative growth, yield and harvest quality in ‘Tempranillo’ vineyards grown under semiarid conditions typical in Mediterranean areas. Two RDI strategies were compared with conventional irrigation practices (CI). CI that consisted in a progressive increase in water deficit as summer progressed, whereas RDI strategies (RDI1 and RDI2) had in common a deficit period just after fruit set and, in RDI2, vines were subjected to an additional stress period shortly after veraison. The experiment was carried out in four consecutive seasons in a commercial vineyard.Water stress at the beginning of berry development resulted in an important reduction of both vegetative growth and berry weight in RDI strategies. No differences in sugar concentration were found between treatments, and RDI berries tended to have lower acidity. The most relevant effect of RDI strategies on grape quality was an increase in anthocyanin and phenolics concentration. In RDI1 berries, this increase was mainly an indirect consequence of smaller berry size. However, in the RDI2 treatment the higher berry anthocyanin concentration reported was not exclusively due to a reduction in berry size. Since harvest quality has been clearly improved by any of the RDI strategies in both years, it can be concluded that RDI constitutes an interesting technique to be applied in ‘Tempranillo’ vineyards grown in semiarid areas aiming to obtain high quality grape.     

Does silicon and irrigation have impact on drought tolerance mechanism of sorghum?

Silicon absorption by crops in the form of silicic acid confers efficient utilization of available irrigation water by minimizing transpiration losses. In present study, silicon and irrigation effects on sorghum growth dynamics and drought tolerance mechanism were evaluated during 2007-2008. Two sorghum cultivars: PARCSS2 and Johar1 were treated with two levels of silicon (Si₀ = control and Si₂₀₀ = 200 ml l⁻¹ of potassium silicate per kg of soil) and irrigation (W₀ = control, crop lower limit and W₄₀ = 40 mm of water, crop upper limit). The results depicted that silicon absorption led to increased leaf water potential, growth, transpiration, net photosynthetic rate and decreased shoot to root ratio in sorghum cultivars compared to control treatment. It can be concluded that synergistic effect of silicon fertilization with ample irrigation may improve the crop stand under drought and biotic stresses.     

棉花冠层叶面积的动态模拟

根据试验资料,在系统分析棉花冠层叶面积时空分布规律的基础上,充分考虑叶面积空间垂直分布的异质性,以生育期内累积的每日相对热效应为预报因子,构建了棉花叶面积垂直分布和叶面积指数的动态模拟模型。利用不同年份不同播期的试验资料对模型进行了验证,累积叶面积指数L（z）的模拟结果与1∶1直线之间的R^2和均方根误差分别为0.969和0.257,叶面积指数LAI的模拟结果与1∶1直线之间的R^2和均方根误差分别为0.936和0.305。结果说明模型具有较好的预测性和实用性。模型的模拟结果可作为冠层结构参数,用于冠层辐射传输模型和光合作用模型。     

基于MK—SVR模型的小麦叶面积指数遥感反演

提出了运用多核支持向量回归(MK-SVR)算法构建小麦叶面积指数(LAI)遥感监测模型。以2010—2013年试验样点小麦拔节、孕穗、开花3期的实测LAI数据为基础,同步获取我国自主研发的环境减灾卫星HJ-CCD对该研究区域的影像数据,分析了各生育期小麦LAI与8种植被指数间的相关性。以显著相关的植被指数作为输入参数,使用MK-SVR算法构建了每个生育期的小麦LAI反演模型,即MK-SVR-LAI模型。为了评价模型,每期使用单一核支持向量回归(SK-SVR)、偏最小二乘(PLS)回归算法构建了SK-SVR-LAI、PLS-LAI模型。将模型估算LAI值和田间观测LAI值进行比对,以决定系数(R2)和均方根误差(RMSE)为指标评价并比较了模型。结果表明:3个生育期MK-SVR-LAI模型的RMSE值均低于参比模型,拔节期为0.293 1,孕穗期为0.466 8,开花期为0.548 6,且该模型的R2也都最高,拔节期为0.762 4,孕穗期为0.801 8,开花期为0.668 9。     

变截面板簧轧机电液伺服系统性能分析

设计了变截面板簧轧机电液伺服系统,该系统采用了工控机和PLC组成的两级计算机控制方式。建立了由电液伺服阀、伺服液压缸和轧辊组成的伺服控制系统数学模型。在分析系统的稳态性能和动态性能基础上,采用PID校正方式,进一步增大了系统的剪切频率,缩短了调节时间,降低了稳态误差。结果表明轧机电液伺服系统的稳定性好、控制精度高,达到了设计目的。