Assessment of satellite-based water requirements for a drip-irrigated apple orchard in Mediterranean agroclimatic conditions.

Accurate assessment of evapotranspiration (ETa) and crop coefficient (Kc) is crucial for optimizing irrigation practices in water-scarce regions. While satellite-based surface energy balance models offer a promising solution, their application to sparse canopies like apple orchards requires specific validation. This study investigated the spatial and temporal dynamics of ETa and Kc in a drip-irrigated 'Pink Lady' apple orchard under Mediterranean conditions over three growing seasons (2012/13, 2013/14, 2014/15). The METRIC model, incorporating calibrated sub-models for leaf area index (LAI), surface roughness (Zom), and soil heat flux (G), was employed to estimate ETa and Kc. These estimates were validated against field-scale Eddy Covariance data. Results indicated that METRIC overpredicted Kc and ETa with errors less than 10 %. These findings highlight the potential of the calibrated METRIC model as a valuable decision-making tool for irrigation management in apple orchards.

Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data.

Atmospheric longwave downward radiation (Ld) is one of the significant components of net radiation (Rn), and it drives several essential ecosystem processes. Ld can be estimated with simple empirical methods using atmospheric emissivity (εa) submodels. In this study, eight global models for εa were evaluated, and the best-performing model was calibrated on a global scale using a parametric instability analysis approach. The climatic data were obtained from a dynamically consistent scale resolution of basic atmospheric quantities and computed parameters known as NCEP/NCAR reanalysis (NNR) data. The performance model was evaluated with monthly average values from the NNR data. The Brutsaert equation demonstrated the best performance, and then it was calibrated. The seasonal global trend of the Brutsaert equation calibrated coefficient ranged between 1.2 and 1.4, and the K-means analysis identified five homogeneous zones (clusters) with similar behavior. Finally, the calibrated Brutsaert equation improved the Rn estimation, with an error reduction, at the worldwide scale, of 64%. Meanwhile, the error reduction for each cluster ranged from 18 to 77%. Hence, Brutsaert's equation coefficient should not be considered a constant value for use in εa estimation, nor in time or location.

Immunologic cross-reactivity between Muscovy duck parvovirus and goose parvovirus on the basis of epitope prediction.

Through bioinformatic prediction, between Muscovy duck parvovirus (MDPV) and goose parvovirus (GPV), there were one epitope AA503-509 (RANEPKE) on non-structural protein and three epitopes AA426-430 (SQDLD), 540-544 (DPYRS), 685-691 (KENSKRW) on structural protein might cross-react with each other. Furthermore, the four epitops were expressed in Escherichia coli. All the four recombinant proteins could react with GPV-antisera and MDPV-antisera in Western blot.

Immunologic cross-reactivity between Muscovy duck parvovirus and goose parvovirus on the basis of epitope prediction

Through bioinformatic prediction, between Muscovy duck parvovirus (MDPV) and goose parvovirus (GPV), there were one epitope AA503-509 (RANEPKE) on non-structural protein and three epitopes AA426-430 (SQDLD), 540-544 (DPYRS), 685-691 (KENSKRW) on structural protein might cross-react with each other. Furthermore, the four epitops were expressed in Escherichia coli. All the four recombinant proteins could react with GPV-antisera and MDPV-antisera in Western blot. (AU)

Immunologic cross-reactivity between Muscovy duck parvovirus and goose parvovirus on the basis of epitope prediction

Through bioinformatic prediction, between Muscovy duck parvovirus (MDPV) and goose parvovirus (GPV), there were one epitope AA503-509 (RANEPKE) on non-structural protein and three epitopes AA426-430 (SQDLD), 540-544 (DPYRS), 685-691 (KENSKRW) on structural protein might cross-react with each other. Furthermore, the four epitops were expressed in Escherichia coli. All the four recombinant proteins could react with GPV-antisera and MDPV-antisera in Western blot.

Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile.

Nearly half the earth's surface is occupied by dryland ecosystems, regions susceptible to reduced states of biological productivity caused by climate fluctuations. Of these regions, arid zones located at the interface between vegetated semiarid regions and biologically unproductive hyperarid zones are considered most vulnerable. The objective of this study was to conduct a deep diversity analysis of bacterial communities in unvegetated arid soils of the Atacama Desert, to characterize community structure and infer the functional potential of these communities based on observed phylogenetic associations. A 454-pyrotag analysis was conducted of three unvegetated arid sites located at the hyperarid-arid margin. The analysis revealed communities with unique bacterial diversity marked by high abundances of novel Actinobacteria and Chloroflexi and low levels of Acidobacteria and Proteobacteria, phyla that are dominant in many biomes. A 16S rRNA gene library of one site revealed the presence of clones with phylogenetic associations to chemoautotrophic taxa able to obtain energy through oxidation of nitrite, carbon monoxide, iron, or sulfur. Thus, soils at the hyperarid margin were found to harbor a wealth of novel bacteria and to support potentially viable communities with phylogenetic associations to non-phototrophic primary producers and bacteria capable of biogeochemical cycling.