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Sillero J.C.,IFAPA Centro Alameda del Obispo | Moreno-Alias I.,CSIC - Institute for Sustainable Agriculture | Rubiales D.,CSIC - Institute for Sustainable Agriculture
Euphytica | Year: 2012

A collection consisting of 140 accessions of chickpea (Cicer arietinum L.) and 109 accessions of related wild species (Cicer spp.) was screened for resistance to chickpea rust (Uromyces ciceris-arietini (Grognot) Jacz. & Boyd). Varying levels of partial resistance were identified, based on a reduced disease severity and area under disease progress curve without any macroscopically visible host cell necrosis. Higher levels of resistance were observed in wild Cicer species, but neither associated with hypersensitivity. Components of resistance have been macros- and microscopically studied in selected C. arietinum accessions. Resistance was expressed as longer latent period and lower infection frequency, which were associated with increased percentage of early aborted colonies, reduced number of haustorial mother cells and haustoria per colony, and reduced colony size. © 2012 Springer Science+Business Media B.V.


The usefulness of portable near infrared (NIR) spectroscopy as a simple and efficient method to determine some of the main selection traits in olive breeding is evaluated in this work. Calibration models were developed and evaluated using partial least squares (PLS) regression from samples collected in different selection steps of the breeding work and under different experimental conditions. The results showed that accurate enough models (values of correlation between actual and predicted constituent higher than 0.9) were obtained for oil and moisture content in both crossvalidation and prediction results. Portable NIR spectroscopy could be used for selection of genotypes on the basis of these characters, providing similar ranking of genotypes than reference methods both in different selection steps of the breeding process (progenies and selection plots) and different experimental conditions (on-tree or under laboratory conditions). The advantages of this technique to improve the efficiency of the evaluation process in olive breeding programs are discussed.


Padda M.S.,University of California at Davis | do Amarante C.V.T.,Santa Catarina State University | Garcia R.M.,IFAPA Centro Alameda del Obispo | Slaughter D.C.,University of California at Davis | Mitcham E.J.,University of California at Davis
Postharvest Biology and Technology | Year: 2011

Canonical discriminant analysis (CDA) was used to identify the best method to discriminate between maturity and ripening stages, assessed in terms of dry matter content, firmness, color (peel and flesh), total soluble solids content attributes, before and during 'Keitt' mango ripening at 20°C. Dry matter content was determined by hot-air oven and microwave oven methods. Fruit firmness was determined non-destructively by hand squeezing, with a durometer, using acoustic resonance and low-mass elastic impact methods (AWETA), as well as destructively by the penetrometer. Peel and flesh color were expressed as L*, a*, b*, h0 and C* values. Total soluble solids content was analyzed from filtered juice from whole fruit tissue and from unfiltered juice squeezed out by hand. Canonical discriminant analysis indicated that the durometer and the penetrometer were better methods to assess firmness than hand firmness, acoustic resonance or impact methods. The best color attributes to follow changes during early stage of 'Keitt' mango ripening were a* and b* values of the flesh, whereas b* value of the peel was considered better during later stages of ripening. Results of total soluble solids content in filtered juice from whole fruit tissue were less variable compared to unfiltered juice squeezed out by hand. Dry matter content was better assessed by drying the sample in a microwave oven than in a hot-air oven. A combined CDA including the best methods to assess each ripening attribute, as well as titratable acidity, showed that the best tools to assess changes in fruit during ripening were the penetrometer, followed by flesh a* value and total soluble solids content (from filtered juice from whole fruit). © 2011 Elsevier B.V.


Estevez J.,University of Cordoba, Spain | Gavilan P.,IFAPA Centro Alameda del Obispo | Giraldez J.V.,University of Cordoba, Spain
Journal of Hydrology | Year: 2011

Quality control is a major prerequisite for using meteorological information. High quality data sources are vital to scientists, engineers and decision makers alike. Validation of meteorological data ensures that the information needed has been properly generated and that it identifies incorrect values and detects problems that require immediate maintenance attention. In this work, several quality assurance procedures based on different criteria are proposed and applied to meteorological data from the Agroclimatic Information Network of Andalusia (Southern Spain) to assess their integrity and quality. The procedures include validations of record structure data, range/limits, time and internal consistency, persistence and spatial consistency tests. Quality assurance tests consist of procedures or rules against which data are tested, setting data flags to provide guidance to end users. The proposed system is capable of identifying several types of errors and is used as a tool that allows one to make decisions such as sensor replacement and to remove data prior to their application. © 2011 Elsevier B.V.


Esteve C.,University of Alcala | Del Rio C.,IFAPA Centro Alameda del Obispo | Marina M.L.,University of Alcala | Garcia M.C.,University of Alcala
Analytica Chimica Acta | Year: 2011

Ultra-high performance liquid chromatography (UHPLC) constitutes an interesting proposal to speed protein separations but it is almost not explored. In this work UHPLC is proposed, for the first time, to separate olive pulp proteins. An important difficulty in the analysis of proteins is related to their extraction. The difficulty in the extraction of proteins from the olive pulp is derived from its high content in lipids and phenolic compounds. Eight different methods for the extraction of pulp proteins were designed and evaluated. The optimized extraction procedure consisted of a cleaning step to remove interfering compounds, followed by the extraction of proteins with a Tris-HCl buffer containing sodium dodecyl sulphate (SDS) and dithiothreitol (DTT), precipitation of proteins with acetone, and solubilization in the Tris-HCl buffer. This methodology yielded the most successful isolation of pulp proteins and enabled the optimization of a UHPLC methodology for their separation. The method was applied to the profiling of olive pulp proteins from different olive cultivars observing in all cases a protein that had never been described before. © 2011 Elsevier B.V.

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