Detection and typing of tomato yellow leaf curl viruses

The denomination Tomato yellow leaf curl virus (TYLCV) comprises several viruses that cause severe damage to tomato crops in warm and temperate regions worldwide. TYLCV viruses are widespread in the Mediterranean Basin, in which two species have been reported: Tomato yellow leaf curl Sardinia virus (TYLCSV) and Tomato yellow leaf curl virus (TYLCV, previously TYLCV-Is). The availability of methods convenient for the diagnosis of these viruses is essential. We have investigated several alternatives for reliable detection and differentiation of TYLCSV and TYLCV. Triple-antibody sandwich enzyme-linked immunosorbent assay (TAS-ELISA) proved to be very useful for large-scale diagnosis in field situations, but lacked discriminating capacity and sensitivity in the stages of infection in which low virus titre is present. The DNA-based methods are suited to laboratory operations and plant disease clinics, where accuracy of detection and discrimination of viruses is required. Polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) was the most reliable method to discriminate between TYLCSV and TYLCV, but is not suited to high sample turnover. For large-scale testing, tissue print hybridization assay provides a reliable and sensitive alternative to PCR.     

Construction of a cDNA library of Bemisia tabaci for use in the ''yeast two-hybrid screen'' method

Bemisia tabaci was reported for the first time in the Mediterranean part of Croatia in 2000. It was found in glasshouses in the agricultural area between the towns of Trogir and Omis, on the following crops: Euphorbia pulcherrima , Thunbergia grandiflora , Cucumis sativus (cucumber), Solanum melongena (aubergine), Phaseolus spp. (beans), Ficus carica (fig), Rubus spp. and several weeds of the families Asteraceae and Solanaceae . In 2001, monitoring for the pest was organized all over the country, in each of the 21 counties. In each county, there were several monitoring points so that all the major vegetable and flower producers were included. A special effort was made to record the spread of B. tabaci in the region where it was first found, bearing in mind that optimal conditions for outdoor spread exist along the Adriatic coast. Yellow sticky traps and visual inspection are used to monitor for B. tabaci . Eradication measures are being applied, and regulatory measures have been taken to prevent further spread of B. tabaci to continental parts of Croatia.     

Genetic analyses of resistance of the wheat differential cultivars Carstens V and Spaldings Prolific to two races of Puccinia striiformis

Genetic analysis of resistance of wheat seedlings to two races of Puccinia striiformis was conducted on F₁, F₂ and F₃ generations from crosses Carstens V (CV) × Lee, Spaldings Prolific (SPA) × Lee and CV × SPA. F₂ generations from crosses of CV and SPA with Strubes Dickkopf (SD) were also studied. The plants were classified into six resistance classes and analysed by factorial correspondence analysis and nonhierarchical classification. The two P. striiformis isolates tested were a French isolate of race 43E138 and a Lebanese isolate of race 2E16, selected for the differences in their virulence spectra for the common differential cultivars Strubes Dickkopf and Nord Desprez. Resistance of CV and SPA was recessive and dominant to races 43E138 and 2E16, respectively. CV possessed three or four resistance genes, one of them being expressed with both races. Two genes of CV had a cumulative effect for resistance to 43E138 and two or three gave dominant resistance to 2E16. SPA had three resistance genes, all of which gave resistance to 2E16 and two of which also gave resistance to 43E138. SPA had one gene in common with CV for resistance to both races. Furthermore, the gene for resistance to race 2E16 in CV and SPA was allelic with a gene in SD, and was probably Yr25 .     

Tomato yellow leaf curl Sardinia virus and its vector Bemisia tabaci in Sicilia (Italy): present status and control possibilities*

Tomato yellow leaf curl Sardinia begomovirus (TYLCSV) appeared in Sicilia (IT) in 1988, creating great threats to agriculture and causing huge losses, especially in south‐eastern areas of the island, where protected tomato cultivation is widespread. Towards the mid‐1990s, a reduction occurred in the virus epidemics, probably due to new approaches which have been applied to rational control of its vector, the whitefly Bemisia tabaci. More recently, TYLCSV has increased again, creating great concern among local tomato producers and stimulating new research. Besides studies on natural enemies of the vector, aiming to investigate their role and distribution, the main current research lines in Sicilia concern the possibility of reducing both whitefly activity, using photoselective plastics as covers, and virus damage, by growing tolerant tomato genotypes.     

茄子新品种蒙茄4号的选育

蒙茄 4号是以 86D0 1 1 1 1为母本 ,79B0 1 2 2 2为父本配制的一代杂种。该品种中早熟 ,始花节位第 7～ 8节。果实近圆形稍扁 ,果皮深紫色 ,光泽度强 ,耐贮运 ,果肉紧密 ,商品性好。平均单果质量 4 0 0～ 4 5 0g,露地每6 6 7m2 产量 4 5 0 0kg左右。适宜露地栽培。     

早熟春大白菜新品种三园春皇的选育

从北京、天津引进的大白菜品种中选育出两个自交不亲和系 90 2和 90 7,继而配制成春大白菜一代杂种三园春皇。该品种早熟 ,生长期 6 0～ 6 5d(天 ) ;一般 6 6 7m2 产量 40 0 0～ 6 0 0 0kg ,比对照鲁春白 1号增产16 % ;抗病毒病和霜霉病 ,对软腐病的抗性与对照相近 ;叶球橄榄形 ,质地脆嫩 ,品质优良。单球质量 2～ 2 .5kg     

Spatio-temporal modelling of broad scale heterogeneity in soil moisture content: a basis for an ecologically meaningful classification of soil landscapes

We describe the classification of landscapes characterised bymineral soil using a model that calculates soil moisture availability on amonthly basis. Scotland is used as a case study area. The model uses potentialsoil moisture deficit, estimated using broad scale (40 × 40 km)climate patterns, in conjunction with meteorological station measurements toobtain finer scale values of climatic soil moisture deficit. Point estimates ofsoil available water are obtained for soil characteristics using appropriatepedotransfer functions, and geostatistical techniques are used to upscale theresults and interpolate to a 1-km grid. Known heterogeneityin soil physical characteristics is used to provide local corrections to thepotential soil moisture deficit, estimated using the climatic variables above.Temporal profiles of monthly water content are modelled for each1-km location and classified into six classes usingunsupervised cluster analysis. The spatial distribution of these classesreflects regional variations in the availability of moisture and energy, onwhich finer-grained topographic patterns are superimposed. In the case study,the broad scale spatial heterogeneity of heathlands and grasslands on mineralsoils in Scotland is shown to be strongly related to the soil moistureclassification. The results can be used in studies investigating the patternsofdistribution of communities at the landscape and regional scale.This revised version was published online in May 2005 with corrections to the Cover Date.     

Spatial dependence and the relationship of soil organic carbon and soil moisture in the Luquillo Experimental Forest,Puerto Rico

We used geo-spatial statistical techniques to examine the spatial variation and relationship of soil organic carbon (SOC) and soil moisture (SM) in the Luquillo Experimental Forest (LEF), Puerto Rico, in order to test the hypothesis that mountainous terrain introduces spatial autocorrelation and crosscorrelation in ecosystem and soil properties. Soil samples (n = 100) were collected from the LEF in the summer of 1998 and analyzed for SOC, SM, and bulk density (BD). A global positioning system was used to georeference the location of each sampling site. At each site, elevation, slope and aspect were recorded. We calculated the isotropic and anisotropic semivariograms of soil and topographic properties, as well as the cross-variograms between SOC and SM, and between SOC and elevation. Then we used four models (random, linear, spherical and wave/hole) to test the semi-variances of SOC, SM, BD, elevation, slope and aspect for spatial dependence. Our results indicate that all the studied properties except slope angle exhibit spatial dependence within the scale of sampling (200 – 1000 m sampling interval). The spatially structured variance (the variance due to the location of sampling sites) accounted for a large proportion of the sample variance for elevation (99%), BD (90%), SOC (68%), aspect (56%) and SM (44%). The ranges of spatial dependence (the distances within which parameters are spatially dependent) for aspect, SOC, elevation, SM, and BD were 9810 m, 3070 m, 1120 m, 930 m and 430 m, respectively. Cross correlograms indicate that SOC varies closely with elevation and SM depending on the distances between samples. The correlation can shift from positive to negative as the separation distance increases. Larger ranges of spatial dependence of SOC, aspect and elevation indicate that the distribution of SOC in the LEF is determined by a combination of biotic (e.g., litterfall) and abiotic factors (e.g., microclimate and topographic features) related to elevation and aspect. This demonstrates the importance of both elevation and topographic gradients in controlling climate, vegetation distribution and soil properties as well as the associated biogeochemical processes in the LEF.This revised version was published online in May 2005 with corrections to the Cover Date.