Características de calidad del fruto con un bioestimulante en mandarina (Citrus reticulata Blanco): Características de qualidade de frutos com biosestimulante em tangerina (Citrus reticulata Blanco)

Se evaluaron los efectos del bioestimulante Biozyme TF® y micronutrientes en algunas características de calidad del fruto de mandarina en Montemorelos, Nuevo León, México, identificando las mejores dosificaciones que dieron como resultado una mayor calidad del fruto en tres ciclos de producción (2017 – 2019). Se trabajó con un suelo no salino, arcilloso, con un pH de 7.1, rico en materia orgánica, y árboles con niveles deficientes de nitrógeno, magnesio y zinc, óptimo de potasio, calcio, hierro y cobre, pero bajos en manganeso. Las variables consideradas fueron: diámetro polar y ecuatorial, peso del fruto, firmeza del fruto, grosor de cáscara, número de gajos, número de semillas, grados Brix, pH, contenido de jugo, peso del jugo, volumen de jugo y contenido de vitamina “C”. Los resultados de las variables que se evaluaron muestran la  no inexistencia de diferencias estadísticas significativas en los tratamientos al evaluar las variables: diámetro polar, grados brix, número de gajos, número de semillas, pH del jugo, porcentaje de jugo, peso de jugo y vitamina “C”. En cambio hubo diferencias estadísticas significativas en los tratamientos peso de fruto, diámetro ecuatorial y volumen de jugo y diferencias altamente significativas en la evaluación de firmeza y grosor de cáscara del fruto. Se compararon los resultados de seis variables durante tres años de seguimiento, encontrándose una tendencia creciente y corroborando el efecto de los tratamientos aplicados

Complejo hormonal y micronutrientes en calidad del fruto de mandarina (Citrus reticulata blanco) cv Dancy / Complexo hormonal e micronutrientes na qualidade da tangerina (Citrus reticulata blanco) cv Dancy

Se evaluaron los efectos de un complejo hormonal con micronutrientes en algunas características de calidad del fruto de mandarina en Montemorelos, Nuevo León, los objetivos de este trabajo fueron cuantificar los efectos del complejo hormonal Biozyme TF®  y micronutrientes en calidad de la mandarina Dancy e identificar las mejores dosificaciones que den como resultado una mayor calidad del fruto en dos ciclos de producción (2017 – 2018). Se trabajó con un suelo no salino, arcilloso, con un pH de 7.1, rico en materia orgánica, y árboles con niveles deficientes de nitrógeno, magnesio y zinc, óptimo de potasio, calcio, hierro y cobre, pero bajos en manganeso. Se usaron como fuente el complejo hormonal Biozyme TF® y micronutrientes foliares: Poliquel zinc® y Poliquel multi®. Las variables evaluadas fueron: diámetro polar y ecuatorial, peso del fruto, firmeza del fruto, grosor de cáscara , número de gajos, número de semillas, grados Brix, pH, contenido de jugo, peso del jugo, volumen de jugo y contenido de vitamina “C”. Los resultados de las variables que se evaluaron muestran la  no inexistencia de diferencias estadísticas significativas en los tratamientos al evaluar las variables: diámetro polar, grados brix, número de gajos, número de semillas, ph del jugo, porcentaje de jugo, peso de jugo y vitamina “C”. En cambio hubo diferencias estadísticas significativas en los tratamientos peso de fruto, diámetro ecuatorial y volumen de jugo y diferencias altamente significativas en la evaluación de firmeza y grosor de cáscara del fruto.

Unforeseen plant phenotypic diversity in a dry and grazed world

23 páginas..- 4 figuras y 7 figuras.- 50 referencias y 90 referenciasEarth harbours an extraordinary plant phenotypic diversity1 that is at risk from ongoing global changes2,3. However, it remains unknown how increasing aridity and livestock grazing pressure—two major drivers of global change4,5,6—shape the trait covariation that underlies plant phenotypic diversity1,7. Here we assessed how covariation among 20 chemical and morphological traits responds to aridity and grazing pressure within global drylands. Our analysis involved 133,769 trait measurements spanning 1,347 observations of 301 perennial plant species surveyed across 326 plots from 6 continents. Crossing an aridity threshold of approximately 0.7 (close to the transition between semi-arid and arid zones) led to an unexpected 88% increase in trait diversity. This threshold appeared in the presence of grazers, and moved toward lower aridity levels with increasing grazing pressure. Moreover, 57% of observed trait diversity occurred only in the most arid and grazed drylands, highlighting the phenotypic uniqueness of these extreme environments. Our work indicates that drylands act as a global reservoir of plant phenotypic diversity and challenge the pervasive view that harsh environmental conditions reduce plant trait diversity8,9,10. They also highlight that many alternative strategies may enable plants to cope with increases in environmental stress induced by climate change and land-use intensification.This research was funded by the European Research Council (ERC Grant agreement 647038 1004 [BIODESERT]) and Generalitat Valenciana (CIDEGENT/2018/041). N.G. was supported by CAP 20–25 (16-IDEX-0001) and the AgreenSkills+ fellowship programme which has received funding from the European Union’s Seventh Framework Programme under grant agreement FP7-609398 (AgreenSkills+ contract). F.T.M. acknowledges support from the King Abdullah University of Science and Technology (KAUST), the KAUST Climate and Livability Initiative, the University of Alicante (UADIF22-74 and VIGROB22-350), the Spanish Ministry of Science and Innovation (PID2020-116578RB-I00), and the Synthesis Center (sDiv) of the German Centre for Integrative Biodiversity Research Halle–Jena–Leipzig (iDiv). Y.L.B.-P. was supported by a Marie Sklodowska-Curie Actions Individual Fellowship (MSCA-1018 IF) within the European Program Horizon 2020 (DRYFUN Project 656035). H.S. is supported by a María Zambrano fellowship funded by the Ministry of Universities and European Union-Next Generation plan. L.W. acknowledges support from the US National Science Foundation (EAR 1554894). G.M.W. acknowledges support from the Australian Research Council (DP210102593) and TERN. M.B is supported by a Ramón y Cajal grant from Spanish Ministry of Science (RYC2021-031797-I). L.v.d.B. and K.T. were supported by the German Research Foundation (DFG) Priority Program SPP-1803 (TI388/14-1). A.F. acknowledges the financial support from ANID PIA/BASAL FB210006 and Millenium Science Initiative Program NCN2021-050. A.J. was supported by the Bavarian Research Alliance for travel and field work (BayIntAn UBT 2017 61). A.L. and L.K. acknowledge support from the German Research Foundation, DFG (grant CRC TRR228) and German Federal Government for Science and Education, BMBF (grants 01LL1802C and 01LC1821A). B.B. and S.U. were supported by the Taylor Family-Asia Foundation Endowed Chair in Ecology and Conservation Biology. P.J.R. and A.J.M. acknowledge support from Fondo Europeo de Desarrollo Regional through the FEDER Andalucía operative programme, FEDER-UJA 1261180 project. E.M.-J. and C.P. acknowledge support from the Spanish Ministry of Science and Innovation (PID2020-116578RB-I00). D.J.E. was supported by the Hermon Slade Foundation. J.D. and A.Rodríguez acknowledge support from the FCT (2020.03670.CEECIND and SFRH/BDP/108913/2015, respectively), as well as from the MCTES, FSE, UE and the CFE (UIDB/04004/2021) research unit financed by FCT/MCTES through national funds (PIDDAC). S.C.R. acknowledges support from the US Department of Energy (DE-SC-0008168), US Department of Defense (RC18-1322), and the US Geological Survey Ecosystems Mission Area. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US government. E.H.-S. acknowledges support from Mexican National Science and Technology Council (CONACYT PN 5036 and 319059). A.N. and C. Branquinho. acknowledge the support from FCT—Fundação para a Ciência e a Tecnologia (CEECIND/02453/2018/CP1534/CT0001, PTDC/ASP-SIL/7743/ 2020, UIDB/00329/2020), from AdaptForGrazing project (PRR-C05-i03-I-000035) and from LTsER Montado platform (LTER_EU_PT_001). Field work of G.P. and J.M.Z. was supported by UNRN (PI 40-C-873).Peer reviewe

An alternative approach in hydrograph decomposition and separation of the baseflow

The identification of the moment when direct flow ends and baseflow begins is one of the biggest challenges of hydrological cycle modeling. The objectives of this research were: to characterize the recession curves (RC) and to separate the components of the hydrograph in a compact model. The RC were extracted from time series in three subwatersheds in Mexico. An expo-linear model was adapted and fitted to the master recession curves to find the transition point of the hydrograph and separate the baseflow. The model discriminated the RC in two decreasing ratios: one linear associated to the direct flow, and one exponential linked to the baseflow. The transition point between these two flows was obtained analytically by equaling both ratios. The derivation of a model parameter allowed to find the maximum points in the hydrometric time series, which were the criterion to separate the baseflow. The application of this model is recommended in the analysis of RC with different magnitudes from the flexibility and attachment to the fundaments of exhaustion of a reservoir

Design of a Whole-Cell Biosensor Based on Bacillus subtilis Spores and the Green Fluorescent Protein To Monitor Arsenic

ABSTRACT A green fluorescent protein (GFP)-based whole-cell biosensor (WCB-GFP) for monitoring arsenic (As) was developed in Bacillus subtilis. To this end, we designed a reporter gene fusion carrying the gfpmut3a gene under the control of the promoter/operator region of the arsenic operon (Pars::gfpmut3a) in the extrachromosomal plasmid pAD123. This construct was transformed into B. subtilis 168, and the resultant strain was used as a whole-cell biosensor (BsWCB-GFP) for the detection of As. The BsWCB-GFP was specifically activated by inorganic As(III) and As(V), but not by dimethylarsinic acid [DMA(V)], and exhibited high tolerance to the noxious effects of arsenic. Accordingly, after 12 h exposure, B. subtilis cells carrying the Pars::gfpmut3a fusion exhibited 50 and 90% lethal doses (LD50 and LD90) to As(III) of 0.89 mM and As 1.71 mM, respectively. Notably, dormant spores from the BsWCB-GFP were able to report the presence of As(III) in a concentration range from 0.1 to 1,000 μM 4 h after the onset of germination. In summary, the specificity and high sensitivity for As, as well as its ability to proliferate under concentrations of the metal that are considered toxic in water and soil, makes the B. subtilis biosensor developed here a potentially important tool for monitoring environmental samples contaminated with this pollutant. IMPORTANCE Arsenic (As) contamination of groundwater is associated with serious worldwide health risks. Detection of this pollutant at concentrations that are established as permissible for water consumption by WHO is a matter of significant interest. Here, we report the generation of a whole-cell biosensor for As detection in the Gram-positive spore former B. subtilis. This biosensor reports the presence of inorganic As, activating the expression of the green fluorescent protein (GFP) under the control of the promoter/operator of the ars operon. The biosensor can proliferate under concentrations of As(III) that are considered toxic in water and soil and detect this ion at concentrations as low as 0.1 μM. Of note, spores of the Pars-GFP biosensor exhibited the ability to detect As(III) following germination and outgrowth. Therefore, this novel tool has the potential to be directly applied to monitor As contamination in environmental samples

Degradación y deforestación en la cuenca del río Conchos (México): modelado predictivo mediante regresión logística (1985-2016)

In this work, the pine, oak and mixed forest areas, with the highest probability of being degraded-deforested, were identified in the Conchos river basin (Chihuahua-Durango, Mexico). Degraded-deforested of pine, oak and mixed forest areas were calculated from 1985-2016 through map algebra (Inventory of land uses and vegetation series I and VI). Subsequently, the logistic regression technique was applied considering eight physical and socioeconomic variables possibly associated with the loss / degradation of the forest. A pseudo R2 value of 0.204 was obtained, which indicates high predictive power of the model. An area of 733.43 km2 was identified at risk of being deforested / degraded in the future, representing 6.7% of the forest area currently existing in the basin. The variables with the greatest specific weight in deforestation / forest degradation were, in descending order: marginalization, mining concessions and land tenure. The results are helpful to prevent the loss / degradation of pine-oak forests in the basin, and facilitate its environmental management.En este trabajo se identificaron las áreas de bosques de pinos, encinos y mixtos, con mayor probabilidad de ser degradadas-deforestadas en la cuenca del río Conchos (Chihuahua-Durango, México). Mediante superposición de cartografías (inventario de suelo y vegetación series I y VI) se obtuvieron las áreas donde los bosques de pinos, encinos y mixtos, se ha degradado-deforestado durante el periodo 1985-2016 en dicha cuenca. Posteriormente se aplicó la técnica de regresión logística considerando ocho variables físicas y socioeconómicas, posiblemente asociadas con la pérdida/degradación del bosque. Se obtuvo un valor de Pseudo R2 de McFadden 0.204, que indica un alto poder predictivo del modelo. Se identificó una superficie de 733.43 km2 en riesgo de ser deforestada y degradada en el futuro, la cual representa el 6.7 % de la superficie de bosque existente actualmente en la cuenca. Las variables con mayor peso específico en la deforestación y degradación del bosque fueron, en orden descendente, marginación, concesiones mineras y tenencia de la tierra. Los resultados son útiles para prevenir la pérdida y degradación de los bosques en la cuenca del Río Conchos, y facilitan el manejo ambiental de la misma

Guía de diseño y mejora continua de procesos asistenciales integrados. 2ª ed

Publicado en la página web de la Consejería de Igualdad, Salud y Políticas Sociales: www.juntadeandalucia.es/salud (Consejería de Salud / Profesionales / Nuestro Compromiso por la Calidad / Procesos Asistenciales Integrados)YesEsta segunda edición pretende potenciar e impulsar los principios básicos del abordaje de los Procesos Asistenciales Integrados (PAI) en Andalucía y establecer la metodología para la actualización y descripción de los PAI para este nuevo impulso

COVID-19 in hospitalized HIV-positive and HIV-negative patients : A matched study

CatedresObjectives: We compared the characteristics and clinical outcomes of hospitalized individuals with COVID-19 with [people with HIV (PWH)] and without (non-PWH) HIV co-infection in Spain during the first wave of the pandemic. Methods: This was a retrospective matched cohort study. People with HIV were identified by reviewing clinical records and laboratory registries of 10 922 patients in active-follow-up within the Spanish HIV Research Network (CoRIS) up to 30 June 2020. Each hospitalized PWH was matched with five non-PWH of the same age and sex randomly selected from COVID-19@Spain, a multicentre cohort of 4035 patients hospitalized with confirmed COVID-19. The main outcome was all-cause in-hospital mortality. Results: Forty-five PWH with PCR-confirmed COVID-19 were identified in CoRIS, 21 of whom were hospitalized. A total of 105 age/sex-matched controls were selected from the COVID-19@Spain cohort. The median age in both groups was 53 (Q1-Q3, 46-56) years, and 90.5% were men. In PWH, 19.1% were injecting drug users, 95.2% were on antiretroviral therapy, 94.4% had HIV-RNA < 50 copies/mL, and the median (Q1-Q3) CD4 count was 595 (349-798) cells/μL. No statistically significant differences were found between PWH and non-PWH in number of comorbidities, presenting signs and symptoms, laboratory parameters, radiology findings and severity scores on admission. Corticosteroids were administered to 33.3% and 27.4% of PWH and non-PWH, respectively (P = 0.580). Deaths during admission were documented in two (9.5%) PWH and 12 (11.4%) non-PWH (P = 0.800). Conclusions: Our findings suggest that well-controlled HIV infection does not modify the clinical presentation or worsen clinical outcomes of COVID-19 hospitalization