New developments in canine hepatozoonosis in North America: a review

Canine hepatozoonosis is caused by Hepatozoon canis and Hepatozoon americanum, apicomplexan parasites transmitted to dogs by ingestion of infectious stages. Although the two agents are phylogenetically related, specific aspects, including characteristics of clinical disease and the natural history of the parasites themselves, differ between the two species. Until recently, H. canis infections had not been clearly documented in North America, and autochthonous infection with H. americanum has yet to be reported outside of the southern United States. However, recent reports demonstrate H. canis is present in areas of North America where its vector tick, Rhipicephalus sanguineus, has long been endemic, and that the range of H. americanum is likely expanding along with that of its vector tick, Amblyomma maculatum; co-infections with the two organisms have also been identified. Significant intraspecific variation has been reported in the 18S rRNA gene sequence of both Hepatozoon spp.-infecting dogs, suggesting that each species may represent a complex of related genogroups rather than well-defined species. Transmission of H. americanum to dogs via ingestion of cystozoites in muscle of infected vertebrates was recently demonstrated, supporting the concept of predation as a means of natural transmission. Although several exciting advances have occurred in recent years, much remains to be learned about patterns of infection and the nature of clinical disease caused by the agents of canine hepatozoonosis in North America

Pasteurella haemolytica antigens associated with resistance to pneumonic pasteurellosis

Antigens associated with whole Pasteurella haemolytica biotype A serotype 1, a capsular arbohydrateprotein extract of the organism, and P. haemolytica leukotoxin were separated by sodium dodecyl sulfatepolyacrylamide gel electrophoresis. Antigens of the electrophoresed preparations were detected by Western blotting (immunoblotting) with sera from cattle which were either nonvaccinated or vaccinated with live or killed P. haemolytica vaccines and had variable degrees of resistance to experimental pneumonic pasteurellosis. Distinct, easily recognizable antigens of these preparations were identified, and the antibody responses to these antigens were quantified by densitometry. To determine their importance to disease resistance, we then compared antibody responses with experimental lesion scores. Antibody reactivity to surface antigens which were significantly correlated with resistance and present in two or more of the preparations were detected at 86, 66, 51, 49, 34, 31, and 16 kilodaltons (kDa). Of these, antibody responses to antigens at 86, 49, and 31 kDa appeared most important based on their concentration and significance levels. Antibody reactivity to leukotoxin antigens which were significantly correlated with resistance and common with important surface antigens were detected at 86, 66, and 49 kDa. Antibody responses to unique leukotoxin antigens which were significantly correlated with resistance were present at 92 and 58 kDa.Peer reviewedVeterinary Patholog

L Band Brightness Temperature Observations over a Corn Canopy during the Entire Growth Cycle

During a field campaign covering the 2002 corn growing season, a dual polarized tower mounted L-band (1.4 GHz) radiometer (LRAD) provided brightness temperature (TB) measurements at preset intervals, incidence and azimuth angles. These radiometer measurements were supported by an extensive characterization of land surface variables including soil moisture, soil temperature, vegetation biomass, and surface roughness. In the period May 22 to August 30, ten days of radiometer and ground measurements are available for a corn canopy with a vegetation water content (W) range of 0.0 to 4.3 kg m−2. Using this data set, the effects of corn vegetation on surface emissions are investigated by means of a semi-empirical radiative transfer model. Additionally, the impact of roughness on the surface emission is quantified using TB measurements over bare soil conditions. Subsequently, the estimated roughness parameters, ground measurements and horizontally (H)-polarized TB are employed to invert the H-polarized transmissivity (γh) for the monitored corn growing season

Decision Agriculture

In this chapter, the latest developments in the field of decision agriculture are discussed. The practice of management zones in digital agriculture is described for efficient and smart faming. Accordingly, the methodology for delineating management zones is presented. Modeling of decision support systems is explained along with discussion of the issues and challenges in this area. Moreover, the precision agriculture technology is also considered. Moreover, the chapter surveys the state of the decision agriculture technologies in the countries such as Bulgaria, Denmark, France, Israel, Malaysia, Pakistan, United Kingdom, Ukraine, and Sweden. Finally, different field factors such as GPS accuracy and crop growth are also analyzed