Pre- and post-harvest evapotranspiration, carbon exchange and water use efficiency of a mature peach orchard in semi-arid climate

Better knowledge of the evapotranspiration and carbon exchange of fruit trees is needed to optimize the trade-off between water use and carbon assimilation and to better understand the role of agriculture in the biogeochemical cycles. In this work we measured water and carbon fluxes with eddy covariance and transpiration with sap flow in a drip irrigated peach orchard of 70% ground cover located in southern Spain for two years. The empirically measured crop coefficient (Kc) under good watering conditions in the summer ranged from 1 to 1.1. The daytime Net Ecosystem Exchange (NEE) flux of the orchard averaged 30 g CO2 m2 day-1 during the period of maximum activity in July. The daytime ecosystem water use efficiency (WUE) of the orchard reached a minimum in late June, flattened around 4 g CO2 L-1 throughout the summer, and increased in autumn, but was unaffected by fruit removal or post-harvest irrigation reduction imposed by the farm (30% reduction). The response of instantaneous peach ecosystem WUE to VPD was also investigated. Both Kc, NEE, leaf water potential and stomatal conductance decreased sharply after harvest. Transpiration data from some purposely over-irrigated experimental trees demonstrated that the post-harvest alterations we found were not caused by fruit removal, but are result of mild water stress originated by the irrigation reduction. Hence, the often-observed alterations in water relations after harvest in well-watered trees were not observed in this experiment. This work adds insight on peach irrigation efficiency and on the contribution of orchards to agricultural carbon budgets

The pitfalls of water potential for irrigation scheduling

The water potential (Ψp), has been widely used as an indicator of plant water status for irrigation management purposes. The simple infrastructure needed for its measurement and its direct relation to basic plant physiological processes, have contributed to the popularity of the methodology. When used for irrigation scheduling, it is commonly assumed that an unavoidable relationship exists between plant transpiration (T), soil water content and Ψp. Nevertheless, it is worth remembering that variations in Ψp are not solely related to changes in soil water content, but are also an expression of the interaction between the plant and its environment. We used a soil-plant-atmosphere-continuum (SPAC) model to highlight the importance of considering such interactions through a series of in silico experiments. Our analysis shows that evaporative demand, the hydraulic architecture of the plant, and the texture and depth of the soil play key roles in the final Ψp observed. To establish irrigation programs based on Ψp, without considering the environmental and plant factors that influence it, can create the paradox of having a plant that suffers greater water stress even when high irrigation volumes are applied. The conclusions from our in silico analysis provide some warnings that should be considered when using Ψp to schedule irrigation.info:eu-repo/semantics/publishedVersio

Studying and modelling winter dormancy in olive trees

The abundance of scientific papers dealing with olive reproductive phenology contrasts with the scarce information available in relation to the winter dormant state of olive vegetative structures. In this study, three experiments with young olive trees were performed in Southern Spain, aiming to provide insight into some features of the winter rest period in this evergreen species. Experiment 1 evaluated the environmental cues triggering dormancy induction by measuring leaf appearance rates in trees subjected to different conditions of temperature and daylength over the course of the 2012 autumn. In Experiment 2, several sets of plants were placed into a greenhouse at different dates along the 2013/2014 winter, testing the ability of dormant plants to resume growth upon the return of favourable temperatures. Finally, Experiment 3 was carried out during the autumns of 2016 and 2017 in two locations, and was devoted to assess differences between five cultivars in the onset of dormancy under natural conditions. Our findings revealed that dormancy induction is not controlled by photoperiod, but by low temperatures. The subsequent winter rest state seems to be easily reversed after 1–2 weeks of exposure to warm conditions, irrespective of the initial date of exposure. With regard to cultivar variability, differences in the timing of growth cessation was found to be rather small. Finally, two simple models for predicting the onset of dormancy based on the accumulation of a certain amount of chilling (either considering or not a reversal of chilling by warm temperatures) are presented. Calibration and validation was performed with independent datasets from Experiments 1, 2 and 3. Validation tests highlighted the reliability of both models in reproducing the date of growth cessation.info:eu-repo/semantics/acceptedVersio

3D model validation to estimate intercepted radiation using high spatial resolution imagery in row-tree canopies

En este trabajo se llevó a cabo la validación del modelo 3D de transferencia radiativa FLIGHT para la estimación de la fracción de radiación fotosintéticamente activa interceptada (fIPAR) en cubiertas heterogéneas. El modelo permite simular cubiertas de tipo discontinuo evaluando la relación entre la energía reflejada y absorbida en función de distintos parámetros como la estructura de la plantación, geometría de visión o las propiedades espectrales del suelo y la vegetación. El estudio fue llevado a cabo en cultivos de melocotón y naranjo, pertenecientes a fincas comerciales situadas en las provincias de Córdoba y Sevilla. De cada plantación, se tomaron imágenes multiespectrales de alta resolución mediante un vehículo aéreo no tripulado (UAV) en zonas de estudio con un amplio rango de heterogeneidad estructural, donde se realizaron medidas ópticas foliares, estructurales y de interceptación de radiación. El sensor utilizado para la toma de imágenes fue una cámara multiespectral de 6 bandas y 10 nm FWHM, obteniendo los datos de radiación interceptada para validación de fIPAR mediante ceptómetro en el momento del vuelo del UAV. Los errores obtenidos en la estimación de fIPAR usando el modelo FLIGHT fueron de 10% RMSE, permitiendo parametrizar la relación NDVI vs fIPARA study was conducted to evaluate the 3D radiative transfer model FLIGHT to estimate fraction of Intercepted Photosyntetically Active Radiation (fIPAR) in heterogeneous canopies. The FLIGHT 3D canopy model enables simulation of the effects of different input parameters on fIPAR, such as the orchard architecture, planting grid, solar geometry and background artifacts. The study was conducted over two commercial peach and orange orchards located in Cordoba and Seville, where study areas showing a gradient in heterogeneous structure were selected. High resolution multispectral imagery was acquired by an unmanned aerial vehicle (UAV). The multispectral sensor used in this study was a 6-band multispectral camera with 10nm FWHM bands, using a ceptometer for ground truth data of intercepted radiation. Estimates for radiation interception using a modeling approach yielded errors bellow 10% RMS

Impact of extreme meteorological events on crop yield: a common framework approach

The hypothesis is that yield variations due to an extreme event (cold temperature, high temperature or water deficit) is mediated by a change in Harvest Index (HI), while the main effect of weather on crop performance is already captured by existing crop models

Detección de estrés hídrico en olivar mediante datos hiperespectrales y térmicos del sensor AHS

El sensor hiperespectral AHS (Airborrne Hyperspectal Scanner) fue utilizado para obtener imágenes de 2.5 m de resolución espacial en el espectro visible, infrarrojo cercano y térmico en una parcela de olivar en Córdoba (España) con el fin de estudiar la variabilidad espacial y temporal del estrés hídrico. Los datos térmicos del AHS permitieron obtener imágenes de temperatura de superficie de la parcela a las 7:30, 9:30 y 12:30 GMT el 25 de julio de 2004. EL diseño experimental en bloques aleatorios consistió en aplicar tres dosis diferentes de riego durante julio, agosto y septiembre, realizando medidas semanales de potencial hídrico, fotosíntesis y conductancia para estudiar los efectos del estrés hídrico en el cultivo. Los sensores de infrarrojo IRT permitieron la realización de medidas continuas de temperatura sobre las copas de los árboles, facilitando la validación de las imágenes térmicas. Los resultados de este estudio son presentados, destacando la aplicabilidad en la agricultura de precisión de la teledetección térmica e hiperespectral de alta resolución espacial para el estudio del suministro y la dosificación del riego.The Airborne Hyperspectral Scanner (AHS) was used to acquire images with 2.5 m spatiala resolution in the visible, near infrared and thermal spectral regions over an olive orchard in Cordoba (Spain) to study the spatial and temporal variability of water stress. The AHS thermal information enabled obtaining surface temperature images of the orchard at 7:30, 9:30 and 12:30 GMT in 25 july 2004. The experimental design consisted of applying three different irrigation treatments in randomly selected blocks during july, august and septemper, acquiring measurements of leaf water potential, stomatal conductance and photosynthesis to study the water stress effects on the trees. Infrared sensors IRT placed on top of the trees allowed to obtain continuously temperature measurements, providing validation data for the airborne thermal imagery. Results of this study are presented, suggesting that hyperspectral and high resolution remote sensing methods have important applicability in precision agriculture for management of controlled deficit irrigation method

Is new olive farming sustainable? A spatial comparison of productive and environmental performances between traditional and new olive orchards with the model OliveCan

Olive (Olea europaea L.) is a widely spread tree species in the Mediterranean. In the last decades, olive farming has known major management changes with high economic and environmental impacts. The fast track expansion of this modern olive farming in these recent years casts doubts on the sustainability of such important tree plantation across the Mediterranean. In this work, we performed a spatial modelling analysis to investigate the implications of climate variability and farming management on the productivity and environmental performances of olive orchards around the Mediterranean. Implementation of this research is based on the use of OliveCan; a process-based model able to illustrate responses of water and carbon balances to weather variables, soil characteristics and management techniques enabling the comprehension of olive orchard dynamics under heterogeneous conditions of climate and agricultural practices. Four main intensification levels were adopted to reflect the main olive grove types from traditional to new intensive plantations: low density LD (100 trees ha−1), medium density MD (200 trees ha−1), high density HD (400 trees ha−1) and super high density SHD (1650 trees ha−1). Managements tested were intensification, water supply (rainfed, deficit and full irrigated) and the fate of pruning residues (exported or left on the soil). Two cases studies in two of the main Mediterranean olive-growing regions with contrasting environmental conditions, Tuscany and Jaen regions, focused on mitigation alternative managements for carbon sequestration. Results showed that olive orchards responses in terms of yield and Net Ecosystem Productivity (NEP) vary along with climatic conditions. Water supply was the main driver with a production function that varies for different atmospheric demands. Application of deficit irrigation proved to boost water use efficiency. Besides, intensification from LD to SHD, presented the greatest improvements, 28–73% for yield and 50–100% for NEP. The C sequestration potential of olive orchards was confirmed. In fact, soil organic carbon (SOC) increased continuously over 400 years of simulation, reaching a state of equilibrium. Moreover, intensification and irrigation improved total carbon sequestration. Management of incorporating pruning residues in the soil increased SOC of 10.5 t C ha−1 for Tuscany and 10.8 t C ha−1 for Jaen. Findings of this research enabled the identification of the main drivers influencing the productive and environmental performance of olive groves in the different Mediterranean sub-climates. Impacts of management innovations on olive farming sustainability were also quantified which may help improve production systems for a more sustainable olive cultivation

A windows application that supports the teaching of the calculation of fertilizer requirements

En el actual contexto de rápidos e incesantes desarrollos tecnológicos, existe una necesidad creciente de incorporar nuevas herramientas basadas en las Tecnologías de la Información y la Comunicación (TIC) en los procesos de enseñanza-aprendizaje en ingeniería. Este artículo describe las principales características de FertiliCalc, una novedosa aplicación Windows concebida como herramienta de apoyo en la docencia del cálculo de necesidades de nutrientes y fertilizantes de los cultivos. La aplicación permite al usuario determinar las cantidades estacionales requeridas de nitrógeno, potasio y fósforo y la combinación más barata de fertilizantes comerciales para 149 cultivos. Más aún, se han desarrollado versiones de FertiliCalc y videos tutoriales de uso en hasta 25 idiomas, haciendo posible su empleo en diferentes universidades alrededor del mundo y que cualquier estudiante pueda aprender la terminología relacionada en otros idiomas. Las primeras evaluaciones del uso de la aplicación en un curso reducido perteneciente al Grado de Ingeniería Agroalimentaria de la Universidad de Córdoba han revelado mayores tasas de éxito por parte de los estudiantes en el cálculo de las necesidades de fertilizantes en relación a ediciones pasadas del mismo. Se concluye que FertiliCalc representa una prometedora y potente herramienta para la docencia.Under the current context of fast and constant technological developments, there is a major call for the introduction of new tools based on the new available Information and Communication Technologies (TIC) in the processes of teaching-learning in engineering. This article describes the main characteristics of FertiliCalc, a novel Windows application conceived as a support tool for teaching the calculation of nutrient and fertilizer requirements of crops. The application allows the user to calculate the seasonal amounts of nitrogen, potassium and phosphorous needed and the most cost-effective combination of commercial fertilizers for up to 149 crops. Moreover, versions of FertiliCalc and video tutorials have been developed in up to 25 languages, so that it can be used in different universities across the world and allows students to learn the related terminology in foreign languages. The first assessments of the use of the application in a course belonging to the Degree on Agricultural Engineering of the University of Córdoba revealed a higher success rate among students in the calculation of fertilizer requirements in relation to past editions of that course. It is concluded that FertiliCalc represents a promising and powerful tool for teaching

Pre-pregnancy maternal obesity associates with endoplasmic reticulum stress in human umbilical vein endothelium

Obesity associates with the endoplasmic reticulum (ER) stress-induced endothelial dysfunction. Pregnant women with pre-pregnancy maternal obesity (PGMO) may transfer this potential risk to their offspring; however, whether ER stress occurs and associates with foetoplacental endothelial dysfunction in PGMO is unknown. We studied the l-arginine transport and nitric oxide (NO) synthesis in human umbilical vein endothelial cells (HUVECs) from women with PGMO or with a normal pre-pregnancy weight. We analysed the expression and activation of the ER stress sensors protein kinase RNA-like endoplasmic reticulum kinase (PERK), inositol-requiring enzyme 1α (IRE1α), and activating transcription factor 6 (ATF6). PGMO associated with lower endothelial NO synthase activity due to increased Thr-inhibitor and decreased Ser-stimulator phosphorylation. However, higher expression and activity of the human cationic amino acid transporter 1 was found. PGMO caused activation of PERK and its downstream targets eukaryotic initiation factor 2 (eIF2α), C/EBP homologous protein 10 (CHOP), and tribbles-like protein 3 (TRB3). Increased IRE1α protein abundance (but not its phosphorylation or X-box binding protein 1-mRNA splicing) and increased c-Jun N-terminal kinase 1 phosphorylation was seen in PGMO. A preferential nuclear location of the activating transcription factor 6 (ATF6) was found in HUVECs from PGMO. All the changes seen in PGMO were blocked by TUDCA but unaltered by tunicamycin. Thus, PGMO may determine a state of ER stress via upregulation of the PERK-eIF2α-CHOP-TRB3 axis signalling in HUVECs. This phenomenon results in foetoplacental vascular endothelial dysfunction at birth

Polymerizable Materials for Diffractive Optical Elements Recording

The technologies based on holographic and photonic techniques related to the optical storage and optical processing of information are rapidly evolving. One of the key points of this evolution are the new recording materials able to perform under the most specific situations and applications. In this sense, the importance of the photopolymers is growing spectacularly. This is mainly due to their versatility in terms of composition and design together with other interesting properties such as self-processing capabilities. In this chapter, we introduce the diffractive optical elements (DOE) generation in these materials and some of the most important parameters involved in this process. The deep knowledge of the material is essential to model its behavior during and after the recording process and we present different techniques to characterize the recording materials. We also present a 3D theoretical diffusion model able to reproduce and predict the experimental behavior of the recording process of any kind of DOE onto the photopolymers. The theoretical results will be supported by experimental analysis using a hybrid optical-digital setup, which includes a liquid crystal on silicon display. Besides this analysis, we study a method to improve the conservation and characteristics of these materials, an index-matching system