Heat Unit Requirements of “Flame Seedless” Table Grape: A Tool to Predict Its Harvest Period in Protected Cultivation

Greenhouse cultivation of table grapes is a challenge due to difficulties imposed by their perennial habit and chilling requirements. Despite difficulties, greenhouse cultivation allows ripening long before that in the open field. Nonetheless, for harvesting “Flame Seedless” in the most profitable periods, a cultural practices timetable has to be established. In this context, an estimation of development rate as a function of temperature becomes essential. This work puts forward a procedure to determine “Flame Seedless” threshold temperatures and heat requirements from bud break to ripening. “Flame Seedless” required an average of 1633 growing degree days (GDD) in the open field with a base temperature of 5 °C and an upper threshold temperature of 30 °C. Strikingly, only 1542 GDD were required within the greenhouse. This procedure forecast “Flame Seedless” ripening with an accuracy of three and six days in the open field and greenhouse, improving predictions based on the average number of days between bud break and ripening. The procedure to predict oncoming harvest date was found satisfactory, just four days earlier than the real date. If we used the typical meteorological year instead of the average year, then the prediction was greatly improved since harvest was forecast just one day before its occurrence

Unexploited biodiversity data sources: the case of airborne pollen

With more than one billion primary biodiversity data records (PBR), the Global Biodiversity Information Facility (GBIF) is the largest and, arguably, most comprehensive and accurate resource about the biodiversity data on the planet. Yet, its gaps (taxonomical, geographical or chronological, among others) have often been brought to attention (Gaijy et al. 2013) and efforts are continuously made to ensure more uniform coverage. Especially as data obtained through this resource are increasingly being used for science, policy, and conservation (Ariño et al. 2018), drawing on every possible source of information to complement already existing data opens new opportunities for supplying the integrative knowledge required for global endeavors, such as understanding the global patterns of ecosystem and environment changes

The Effects of Combined Pre and Postharvest Deficit Irrigation on Loquat Yield, Fruit Quality and Handling Aptitude

Loquat prices depend on fruit size and earliness. Earliness is improved by postharvest deficit irrigation (DI), without negative effects on fruit size. An optimization of postharvest DI strategies carried out by limiting the dry period led to greater harvest date advancement, but water savings were reduced. To further improve fruit earliness and quality and increase water savings, we combined pre and postharvest DI strategies. Treatments were T1: trees not irrigated during six weeks after harvest (no preharvest DI applied); T2: trees that, in addition to postharvest DI, were not watered from the rapid fruit growth phase to harvest (nine extra weeks of DI); T3: trees that, in addition to postharvest DI, were not watered from color break to harvest (six weeks of DI plus postharvest DI); and T4: trees that in addition to postharvest DI were not watered during rapid fruit growth, but were re-irrigated at color break (2–3 weeks of DI, depending on the season). Full-irrigated trees were grown for comparison. T1 saved 18% water with respect to full-irrigation, and advanced harvesting by 16 days. T2 saved more water, had an earlier harvest and produced a higher early yield. Shorter dry periods were beneficial to a lower extent. Fruit size was significantly diminished by T2, but not by T4. A major advantage of T3 and T4 was the better performance of fruit during handling and shelf life. T2 fruits were favored by panelists for their sweetness but criticized for their smaller size

NO2 climatology in the northern subtropical region: diurnal, seasonal and interannual variability

Daily NO2 vertical column density (VCD) has been routinely measured by zenith sky spectroscopy at the subtropical station of Izaña (28° N, 16° W) since 1993 in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC). Based on 14 years of data the first low latitude NO2 VCD climatology has been established and the main characteristics from short timescales of one day to interannual variability are presented. Instrumental descriptions and different sources of errors are described in detail. The observed diurnal cycle follows that expected by gas-phase NOx chemistry, as can be shown by the good agreement with a vertically integrated chemical box model, and is modulated by solar radiation. The seasonal evolution departs from the phase of the hours of daylight, indicating the signature of upper stratospheric temperature changes. From the data record (1993–2006) no significant long-term trends in NO2 VCD can be inferred. Comparison of the ground-based data sets with nadir-viewing satellite spectrometers shows excellent agreement for SCIAMACHY with differences between both datasets of 1.1%. GOME displays unrealistic features with the largest discrepancies during summer. The ground-based data are compared with long-term output of the SLIMCAT 3-D chemical transport model (CTM). The basic model, forced by ECMWF (ERA-40) analyses, captures the observed NO2 annual cycle but significantly underestimates the spring/summer maximum (by 12% at sunset and up to 25% at sunrise). In a model run which uses assimilation of satellite CH4 profiles to constrain the model long-lived tracers the agreement is significantly improved. This improvement in modelled column NO2 is due to better modelled NOy profiles and points to transport errors in the ECMWF ERA-40 reanalyses.Routine measurements have been possible thanks to the funding provided by the projects QUILT (EU EVK2-CT2000-0059) SCOUT-O3 (EU 505390-GOCE-CT-2004), TROMPETA (MCyT CGL2004-03669) and is on-going through GEOMON (EU FP6-2005-Global-4- 036677)

Comparación de tres métodos cortos contra un método estándar para analizar la composición nutricional de reportes de consumo de alimentos de adultos costarricenses

Objective: comparison of three short methods for analysis of food consumption data from a group of Costa Rican adults. Methodology: 100 questionnaires from 24-hour recalls were obtained from the Latin American Study of Nutrition and Health. Three short methods for dietary analysis based on two different exchange lists and a new food group system proposed by the researchers) were compared to a standard method based on food composition tables. The values ​​obtained were compared using the Wilcoxon signed-rank test, Spearman´s rank correlation coefficient and the Bland-Altman plot. Results: the food group system is the short method of diet whose results are more similar to the standard method in terms of energy, macro and micronutrients. In the ADA exchange lists, carbohydrates are underestimated (-19.2%) and fats are overestimated (53.8%). The Colombian exchange lists resulted in significant differences and lower correlation coefficients for sodium (0.692) and fatty acids (0.758). Conclusion: the food group system is the method that presents results which are more similar to the standard method for dietary analysis and is considered easier to use in clinical practice.Objetivo: comparar tres métodos cortos de análisis de datos de consumo de alimentos contra un método estándar en un grupo de adultos costarricenses. Metodología: se realizó un análisis de la composición nutricional de los alimentos incluidos en 100 recordatorios de 24 horas del Estudio Latinoamericano de Nutrición y Salud. Se utilizaron tres métodos cortos de análisis de dieta (listas de intercambio de la Asociación Dietética Norteamericana, listas colombianas y un nuevo sistema de grupos de alimentos propuesto por las investigadoras), así como un método estándar basado en tablas de composición de alimentos. Los valores obtenidos se compararon mediante la Prueba de Rangos de Wilcoxon, correlaciones de Spearman y gráficos de Bland-Altman. Resultados: se comprueba que el sistema de grupos de alimentos es el método corto de análisis de dieta cuyos resultados son más similares a los obtenidos por el método estándar en cuanto a energía, macro y micronutrientes. En el caso de las listas de intercambio de la ADA los carbohidratos se subestiman (-19.2 %) y las grasas se sobreestiman (53.8 %). En cuanto a las listas colombianas se observan diferencias significativas y menores coeficientes de correlación para el sodio (0.692) y los ácidos grasos (0.758). Conclusión: se encontró que el sistema de grupos de alimentos es el método que presenta los resultados más semejantes al método estándar para el análisis de dieta y se considera más fácil de utilizar en la práctica clínica.UCR::Vicerrectoría de Docencia::Salud::Facultad de Medicina::Escuela de NutriciónUCR::Vicerrectoría de Docencia::Salud::Facultad de Medicina::Escuela de Medicin

Investment in the long-tail of biodiversity data: from local research to global knowledge

In business, the "long-tail economy" refers to a market strategy where the gravity center shifts from a few high-demand products to many, varied products focused on small niches. Commercialization of individually low-demand products can be profitable as long as their production cost is low and, all taken together, they aggregate into a big chunk of the market. Similarly, in the "business" of biodiversity data acquisition, we can find several mainstream products that produce zillions of bits of information every year and account for most of the budget allocated to increase our primary data-based knowledge about Earth's biological diversity. These products play a crucial role in biodiversity research. However, along with these large global projects, there is a constellation of small-scale institutions that work locally, but whose contribution to our understanding of natural processes should not be dismissed. These information datasets can be collectively referred to as the "long-tail biodiversity data"

First computational design using lambda-superstrings and in vivo validation of SARS-CoV-2 vaccine

Coronavirus disease 2019 (COVID-19) is the greatest threat to global health at the present time, and considerable public and private effort is being devoted to fighting this recently emerged disease. Despite the undoubted advances in the development of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, uncertainty remains about their future efficacy and the duration of the immunity induced. It is therefore prudent to continue designing and testing vaccines against this pathogen. In this article we computationally designed two candidate vaccines, one monopeptide and one multipeptide, using a technique involving optimizing lambda-superstrings, which was introduced and developed by our research group. We tested the monopeptide vaccine, thus establishing a proof of concept for the validity of the technique. We synthesized a peptide of 22 amino acids in length, corresponding to one of the candidate vaccines, and prepared a dendritic cell (DC) vaccine vector loaded with the 22 amino acids SARS-CoV-2 peptide (positions 50-71) contained in the NTD domain (DC-CoVPSA) of the Spike protein. Next, we tested the immunogenicity, the type of immune response elicited, and the cytokine profile induced by the vaccine, using a non-related bacterial peptide as negative control. Our results indicated that the CoVPSA peptide of the Spike protein elicits noticeable immunogenicity in vivo using a DC vaccine vector and remarkable cellular and humoral immune responses. This DC vaccine vector loaded with the NTD peptide of the Spike protein elicited a predominant Th1-Th17 cytokine profile, indicative of an effective anti-viral response. Finally, we performed a proof of concept experiment in humans that included the following groups: asymptomatic non-active COVID-19 patients, vaccinated volunteers, and control donors that tested negative for SARS-CoV-2. The positive control was the current receptor binding domain epitope of COVID-19 RNA-vaccines. We successfully developed a vaccine candidate technique involving optimizing lambda-superstrings and provided proof of concept in human subjects. We conclude that it is a valid method to decipher the best epitopes of the Spike protein of SARS-CoV-2 to prepare peptide-based vaccines for different vector platforms, including DC vaccines.Luis Martínez and Iker Malaina were supported by the Basque Government, grants IT974-16 and KK-2018/00090 and by the UPV/EHU and Basque Center of Applied Mathematics, grants US18/21 and US21/27. Carmen Alvarez-Dominguez was funded by the Instituto de Salud Carlos III, grants DTS18-00022 and PI19-01580, co-funded in part with European FEDER funds “A new way of making Europe”, the Instituto de Investigación Marqués de Valdecilla, grant INNVAL20/01, and the COST European action ENOVA CA-16231. David Salcines-Cuevas was supported by a predoctoral contract for the BioHealth research program of the Cantabria government. Hector Teran-Navarro salary was supported by the Instituto de Investigación Marqués de Valdecilla, grant INNVAL19/26. Andrea Zeoli was an Erasmus student from the University of Milan “La Statale” (Milan, Italy) performing a stay at IDIVAL.Peer reviewe