Sistema de programación y control automático de un riego por goteo subterráneo en un cultivo de olivar

En esta comunicación se presenta un nuevo sistema de programación y control automático del riego por goteo subterráneo para un cultivo de olivar ecológico de una finca situada en el T.M. de Tabernas en Almería (España) y propiedad de la empresa Rafael Alonso Aguilera S.L. La finca se riega mediante un novedoso sistema de riego subterráneo patentado por esta empresa. El sistema de control propuesto está basado en el establecimiento de un balance hídrico diario en el en el sistema suelo-planta a partir de la estimación de las necesidades de riego del cultivo en tiempo real a partir de los datos climáticos medidos en tiempo real a partir de una estación agroclimática. Se presentan también los resultados de la evaluación del funcionamiento del sistema a lo largo de un periodo de 5 años y se analiza el ahorro de agua proporcionado por la combinación del sistema de control del riego y del método de riego subterráneo

Peso de grano y vigor de plántula en centenos diploide y tetraploide

The objetives of this study were to determine the influence of seed weight and ploidy level on rye seedling vigor. Three seed weight and two ploidy levels were evaluated in blotting paper sandwich. Data were subjeted to analysis of variance and LSDs were calculated. Seedling vigor measured as green biomass, leaf blade length and seedling diameter increased with seed weight and ploidy level. Also the leaf blade length and coleoptile length increased with seed weight. Dry matter percentage decreased as the ploidy level increased.El objetivo del presente trabajo fue determinar el efecto del peso de grano y del nivel de ploidía sobre el vigor de plántula en centeno. Se establecieron tres categorías de peso de grano y se trabajó con dos niveles de ploidía. Se utilizaron germinadores tipo "sandwich". Se usó prueba de diferencia mínima significativa para comparación de medias. El vigor de plántula, medido por la producción de biomasa del sector aéreo, por el largo de la lámina de la primera hoja y por el diámetro de la plántula aumentó a medida que se incrementó el peso de grano y el nivel de ploidia. El largo del coleoptilo y el largo de la vaina de la primera hoja aumentaron a medida que se incrementó el peso de grano. El porcentaje de materia seca disminuyó con el incremento del nivel de ploidía pero no fue influenciado por el peso de grano

Behavior of mixed Chlorophyceae cultures under prolonged dark exposure. Respiration rate modeling

[EN] The behavior of three different microalgal cultures, when exposed for a long period (>48 h) to dark conditions, was studied with a methodology based on respirometry. The cultures were transferred to darkness and the oxygen evolution in the reactors was monitored after successive air injections. Several sequential oxygen uptake rates were thus calculated and a respiration constant, assuming a first order decay of a fraction of the biomass, was obtained by calibration. Initial specific oxygen uptake rates were in the range of 0.9 5.1 mg O2 g TSS−1 h−1 and dark respiration constants in the range of 0.005 0.018 h−1.This research work has been supported by the Spanish Ministry of Economy and Competitiveness (MINECO, CTM2011-28595-C02- 01/02) jointly with the European Regional Development Fund (ERDF) which are gratefully acknowledged. This research was also supported by the Spanish Ministry of Science and Innovation via a pre doctoral FPU fellowship to the first author (AP2009-4903). The authors would also like to thank the water management entities of the Generalitat Valenciana (EPSAR).Ruiz Martínez, A.; Serralta Sevilla, J.; Seco Torrecillas, A.; Ferrer, J. (2016). Behavior of mixed Chlorophyceae cultures under prolonged dark exposure. Respiration rate modeling. Ecological Engineering. 91:265-269. https://doi.org/10.1016/j.ecoleng.2016.02.025S2652699

Assessment of oceanographic services for the monitoring of highly anthropised coastal lagoons: The Mar Menor case study

Ocean monitoring systems are designed for continuous monitoring to track their evolution and anticipate environmental issues. However, they are often based on IoT systems that offer little spatial coverage and are hard to maintain. Satellite remote sensing offers good geographical coverage but they also face several challenges to become a monitoring system. This paper introduces an easy-to-use software tool to crawl water-quality data from up to 6 satellite instruments from the ESA and NASA. Particularly, Chl-a data is deeply analyzed in terms of reliability and data coverage for a highly anthropised coastal lagoon (Mar Menor, Spain), where serious socio-environmental issues are happening. Our results show a good linear correlation between in situ data and SRS data, reaching values close to 0.9, and stating the relevance of organic matter inputs from ephemeral streams in Chl-a concentrations. Moreover, temporal granularity is increased from 5 to 1.5 days by combining SRS sources.Preprin

Eight Million Years of Satellite DNA Evolution in Grasshoppers of the Genus Schistocerca Illuminate the Ins and Outs of the Library Hypothesis

This study was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo-FAPESP (process number 2014/11763-8) and Coordenadoria de Aperfeiçoamento de Pessoal de Nível Superior-CAPES. The authors are grateful to anonymous reviewers for valuable comments. O.M.P.-G. and F.J.R.-R. acknowledge the scholarship obtained from the Lawski Foundation (Sweden), H.S. to the U.S. National Science Foundation (Grant No. IOS-1253493) and the United State Department of Agriculture (Hatch Grant TEX0-1-6584), D.A.M. was supported by Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET from Argentina. D.C.C.-d.-M. is recipient of a research productivity fellowship from the Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq (process number 304758/2014-0). Computing ran on resources provided by the Swedish National Infrastructure for Computing (SNIC) through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX). We also thank Alexander Suh (Uppsala University, Uppsala/Sweden) for helpful comments on an earlier version of this manuscript and to Cristiane Mileo (UNESP-Rio Claro/SP) for helping with some figures.Satellite DNA (satDNA) is an abundant class of tandemly repeated noncoding sequences, showing high rate of change in sequence, abundance, and physical location. However, the mechanisms promoting these changes are still controversial. The library model was put forward to explain the conservation of some satDNAs for long periods, predicting that related species share a common collection of satDNAs, which mostly experience quantitative changes. Here, we tested the library model by analyzing three satDNAs in ten species of Schistocerca grasshoppers. This group represents a valuable material because it diversified during the last 7.9 Myr across the American continent from the African desert locust (Schistocerca gregaria), and this thus illuminates the direction of evolutionary changes. By combining bioinformatic and cytogenetic, we tested whether these three satDNA families found in S. gregaria are also present in nine American species, and whether differential gains and/or losses have occurred in the lineages. We found that the three satDNAs are present in all species but display remarkable interspecies differences in their abundance and sequences while being highly consistent with genus phylogeny. The number of chromosomal loci where satDNA is present was also consistent with phylogeny for two satDNA families but not for the other. Our results suggest eminently chance events for satDNA evolution. Several evolutionary trends clearly imply either massive amplifications or contractions, thus closely fitting the library model prediction that changes are mostly quantitative. Finally, we found that satDNA amplifications or contractions may influence the evolution of monomer consensus sequences and by chance playing a major role in driftlike dynamics.Fundação de Amparo à Pesquisa do Estado de São Paulo-FAPESP 2014/11763-8Coordenadoria de Aperfeiçoamento de Pessoal de Nível Superior-CAPESLawski Foundation (Sweden)U.S. National Science Foundation IOS-1253493United State Department of Agriculture TEX0-1-6584CONICET from ArgentinaCNPq 304758/2014-

Factors structuring microbial communities in highly impacted coastal marine sediments (Mar Menor lagoon, SE Spain)

Coastal marine lagoons are environments highly vulnerable to anthropogenic pressures such as agriculture nutrient loading or runoff from metalliferous mining. Sediment microorganisms, which are key components in the biogeochemical cycles, can help attenuate these impacts by accumulating nutrients and pollutants. The Mar Menor, located in the southeast of Spain, is an example of a coastal lagoon strongly altered by anthropic pressures, but the microbial community inhabiting its sediments remains unknown. Here, we describe the sediment prokaryotic communities along a wide range of environmental conditions in the lagoon, revealing that microbial communities were highly heterogeneous among stations, although a core microbiome was detected. The microbiota was dominated by Delta- and Gammaproteobacteria and members of the Bacteroidia class. Additionally, several uncultured groups such as Asgardarchaeota were detected in relatively high proportions. Sediment texture, the presence of Caulerpa or Cymodocea, depth, and geographic location were among the most important factors structuring microbial assemblages. Furthermore, microbial communities in the stations with the highest concentrations of potentially toxic elements (Fe, Pb, As, Zn, and Cd) were less stable than those in the non-contaminated stations. This finding suggests that bacteria colonizing heavily contaminated stations are specialists sensitive to change

Multiple approaches at admission based on lung ultrasound and biomarkers improves risk identification in COVID-19 patients

Background: Risk stratification of COVID-19 patients is fundamental to improving prognosis and selecting the right treatment. We hypothesized that a combination of lung ultrasound (LUZ-score), biomarkers (sST2), and clinical models (PANDEMYC score) could be useful to improve risk stratification. Methods: This was a prospective cohort study designed to analyze the prognostic value of lung ultrasound, sST2, and PANDEMYC score in COVID-19 patients. The primary endpoint was in-hospital death and/or admission to the intensive care unit. The total length of hospital stay, increase of oxygen flow, or escalated medical treatment during the first 72 h were secondary endpoints. Results: a total of 144 patients were included; the mean age was 57.5 ± 12.78 years. The median PANDEMYC score was 243 (52), the median LUZ-score was 21 (10), and the median sST2 was 53.1 ng/mL (30.9). Soluble ST2 showed the best predictive capacity for the primary endpoint (AUC = 0.764 (0.658–0.871); p = 0.001), towards the PANDEMYC score (AUC = 0.762 (0.655–0.870); p = 0.001) and LUZ-score (AUC = 0.749 (0.596–0.901); p = 0.002). Taken together, these three tools significantly improved the risk capacity (AUC = 0.840 (0.727–0.953); p = 0.001). Conclusions: The PANDEMYC score, lung ultrasound, and sST2 concentrations upon admission for COVID-19 are independent predictors of intra-hospital death and/or the need for admission to the ICU for mechanical ventilation. The combination of these predictive tools improves the predictive power compared to each one separately. The use of decision trees, based on multivariate models, could be useful in clinical practice. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)

Microalgae cultivation in wastewater: nutrient removal from anaerobic membrane bioreactor effluent

This study investigated the removal of nitrogen and phosphorus from the effluent of a submerged anaerobic membrane bioreactor (SAnMBR) by means of a lab-scale photobioreactor in which algae biomass was cultured in a semi-continuous mode for a period of 42 days. Solids retention time was 2 days and a stable pH value in the system was maintained by adding CO2. Nitrogen and phosphorus concentrations in the SAnMBR effluent fluctuated according to the operating performance of the bioreactor and the properties of its actual wastewater load. Despite these variations, the anaerobic effluent proved to be a suitable growth medium for microalgae (mean biomass productivity was 234 mgl(-1) d(-1)), achieving a nutrient removal efficiency of 67.2% for ammonium (NH4+-N) and 97.8% for phosphate (PO4-3-P). When conditions were optimum, excellent water quality with very low ammonium and phosphate concentrations was obtained.This research project has been supported by the Spanish Research Foundation (CICYT, projects CTM2011-28595-C02-01 and CTM2011-28595-C02-02), whose support is gratefully acknowledged.Ruiz Martínez, A.; Martin Garcia, N.; Romero Gil, I.; Seco, A.; Ferrer, J. (2012). Microalgae cultivation in wastewater: nutrient removal from anaerobic membrane bioreactor effluent. Bioresource Technology. 126:247-253. https://doi.org/10.1016/j.biortech.2012.09.022S24725312

Psychometric properties of the Clarke questionnaire for hypoglycemia awareness in the Spanish population with type 2 diabetes

Objectives: The Clarke questionnaire, validated in Spanish language, assesses hypoglycemia awareness in patients with type 1 diabetes. This study aimed to analyze its psychometric properties in patients with type 2 diabetes (T2DM). Methods: This was a questionnaire validation study. Patients with T2DM and treated with insulin, sulfonylureas or glinides were consecutively recruited from six endocrinology consultations and six primary care centers. The internal structure of the 8-item Clarke questionnaire was analyzed by exploratory (training sample) and confirmatory (testing sample) factor analysis; the internal consistency using Omega’s McDonald coefficient; and goodness of fit with comparative fit index (CFI, cutoff >0.9), Goodness of Fit Index (GFI, cutoff >0.9), and root mean-square error of approximation (RMSEA, cutoff <0.09), as well as unidimensionality indicators. Results: The 265 participants (56.8% men) had a mean age of 67.8 years. Confirmatory factor analysis for one dimension obtained poor indicators: fit test (p < 0.001); CFI = 0.748; RMSEA = 0.122 and SRMR = 0.134. Exploratory factor analysis showed 2 or 3 dimensions with poor adjustment indicators. Omega’s McDonald was 0.739. Conclusions: The Spanish version of the Clarke questionnaire was not valid or reliable for assessing hypoglycemia awareness in people with T2DM in Spanish population