Retinal slit lamp video mosaicking

Purpose To this day, the slit lamp remains the first tool used by an ophthalmologist to examine patient eyes. Imaging of the retina poses, however, a variety of problems, namely a shallow depth of focus, reflections from the optical system, a small field of view and non-uniform illumination. For ophthalmologists, the use of slit lamp images for documentation and analysis purposes, however, remains extremely challenging due to large image artifacts. For this reason, we propose an automatic retinal slit lamp video mosaicking, which enlarges the field of view and reduces amount of noise and reflections, thus enhancing image quality. Methods Our method is composed of three parts: (i) viable content segmentation, (ii) global registration and (iii) image blending. Frame content is segmented using gradient boosting with custom pixel-wise features. Speeded-up robust features are used for finding pair-wise translations between frames with robust random sample consensus estimation and graph-based simultaneous localization and mapping for global bundle adjustment. Foreground-aware blending based on feathering merges video frames into comprehensive mosaics. Results Foreground is segmented successfully with an area under the curve of the receiver operating characteristic curve of 0.9557. Mosaicking results and state-of-the-art methods were compared and rated by ophthalmologists showing a strong preference for a large field of view provided by our method. Conclusions The proposed method for global registration of retinal slit lamp images of the retina into comprehensive mosaics improves over state-of-the-art methods and is preferred qualitatively.

Antifactor Xa Activity for the Management of Anticoagulation during Cardiac Surgery

Background In patients with autoimmune diseases associated with antiphospholipid antibodies, precise management of anticoagulation during extracorporeal circulation (ECC) is complicated. It was the aim of the present study to determine whether antifactor Xa (aXa) activity is useful in guiding heparin therapy during ECC. Methods In 15 patients undergoing cardiac surgery, anticoagulation with unfractionated heparin (UFH) and its reversal with protamine were guided using activated clotting time (ACT) (>400 second during ECC; ≤100 second for UFH reversal). For each ACT, the corresponding aXa activity levels were measured. Results A total of 144 blood samples were obtained. ACT and aXa activity were significantly correlated (r = 0.771, p< 0.0001, Spearman rank-order correlation). Using receiver operating characteristic curve (ROC) analyses, the cutoffvalues for aXa activity were 1.14 IU/mL (area under the ROC curve [AUC]: 0.89; inaccuracy rate: 9.4%) to predict ACT > 400 seconds and 0.55 IU/mL (AUC: 0.85; inaccuracy rate: 13.3%) for ACT ≤ 100 seconds. Conclusion AXa activity is strongly correlated with ACT, and therefore may be feasible for managing anticoagulation with UFH during ECC.

Primary lowland dipterocarp forest at Danum Valley, Sabah, Malaysia. Species composition and patterns in the understorey

The spatial distributions of species of tree ≥10 cm gbh were examined in two 4 ha plots and related to the local variation in topography and soil chemistry. The plots were similar in their species composition, particularly in terms of the densities of small trees, and they showed very similar edaphic characteristics. Size class distributions varied little within and between plots. Ordination of 0.25 ha subplots highlighted parallel gradients in the vegetation of both plots when the densities of trees ≥10 cm gbh were considered. Focusing on understorey trees in the 10-<50 cm gbh class at the 0.04 ha subplot scale showed a similar vegetation gradient in both plots closely associated with change from lower slope to ridge. No relationship with soil chemistry was found. On the ridges a special group of understorey species formed clumps and these species contributed importantly to the ordinations. Borneo has a regional history of occasionally severe droughts. It is suggested here that the observed patterns in the understorey are due to differential responses to low soil water supply, the ridges probably tending to dryness more than the lower slopes. Within the large and diverse family Euphorbiaceae, which dominates the understorey at Danum, there may be ecophysiological groupings of species. The long-term effects of disturbance interacting with local edaphic factors on forest structure and composition are discussed.

PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia.

Symptoms of primary ciliary dyskinesia (PCD) are nonspecific and guidance on whom to refer for testing is limited. Diagnostic tests for PCD are highly specialised, requiring expensive equipment and experienced PCD scientists. This study aims to develop a practical clinical diagnostic tool to identify patients requiring testing.Patients consecutively referred for testing were studied. Information readily obtained from patient history was correlated with diagnostic outcome. Using logistic regression, the predictive performance of the best model was tested by receiver operating characteristic curve analyses. The model was simplified into a practical tool (PICADAR) and externally validated in a second diagnostic centre.Of 641 referrals with a definitive diagnostic outcome, 75 (12%) were positive. PICADAR applies to patients with persistent wet cough and has seven predictive parameters: full-term gestation, neonatal chest symptoms, neonatal intensive care admittance, chronic rhinitis, ear symptoms, situs inversus and congenital cardiac defect. Sensitivity and specificity of the tool were 0.90 and 0.75 for a cut-off score of 5 points. Area under the curve for the internally and externally validated tool was 0.91 and 0.87, respectively.PICADAR represents a simple diagnostic clinical prediction rule with good accuracy and validity, ready for testing in respiratory centres referring to PCD centres.

STUDY OF THE EFFECTS OF TOTAL MODULATION TRANSFER FUNCTION CHANGES ON OBSERVER PERFORMANCE USING CLINICAL MAMMOGRAMS

The main goal of this study was to relate physical changes in image quality measured by Modulation Transfer Function (MTF) to diagnostic accuracy.^ One Hundred and Fifty Kodak Min-R screen/film combination conventional craniocaudal mammograms obtained with the Pfizer Microfocus Mammographic system were selected from the files of the Department of Radiology, at M.D. Anderson Hospital and Tumor Institute.^ The mammograms included 88 cases with a variety of benign diagnosis and 62 cases with a variety of malignant biopsy diagnosis. The average age of the patient population was 55 years old. 70 cases presented calcifications with 30 cases having calcifications smaller than 0.5mm. 46 cases presented irregular bordered masses larger than 1 cm. 30 cases presented smooth bordered masses with 20 larger than 1 cm.^ Four separated copies of the original images were made each having a different change in the MTF using a defocusing technique whereby copies of the original were obtained by light exposure through different thicknesses (spacing) of transparent film base.^ The mammograms were randomized, and evaluated by three experienced mammographers for the degree of visibility of various anatomical breast structures and pathological lesions (masses and calicifications), subjective image quality, and mammographic interpretation.^ 3,000 separate evaluations were anayzed by several statistical techniques including Receiver Operating Characteristic curve analysis, McNemar test for differences between proportions and the Landis et al. method of agreement weighted kappa for ordinal categorical data.^ Results from the statistical analysis show: (1) There were no statistical significant differences in the diagnostic accuracy of the observers when diagnosing from mammograms with the same MTF. (2) There were no statistically significant differences in diagnostic accuracy for each observer when diagnosing from mammograms with the different MTF's used in the study. (3) There statistical significant differences in detail visibility between the copies and the originals. Detail visibility was better in the originals. (4) Feature interpretations were not significantly different between the originals and the copies. (5) Perception of image quality did not affect image interpretation.^ Continuation and improvement of this research ca be accomplished by: using a case population more sensitive to MTF changes, i.e., asymptomatic women with minimum breast cancer, more observers (including less experienced radiologists and experienced technologists) must collaborate in the study, and using a minimum of 200 benign and 200 malignant cases.^

Bayesian and survival model for tumor relapse status and disease-specific survival, with applications to breast cancer

Breast cancer is the most common non-skin cancer and the second leading cause of cancer-related death in women in the United States. Studies on ipsilateral breast tumor relapse (IBTR) status and disease-specific survival will help guide clinic treatment and predict patient prognosis.^ After breast conservation therapy, patients with breast cancer may experience breast tumor relapse. This relapse is classified into two distinct types: true local recurrence (TR) and new ipsilateral primary tumor (NP). However, the methods used to classify the relapse types are imperfect and are prone to misclassification. In addition, some observed survival data (e.g., time to relapse and time from relapse to death)are strongly correlated with relapse types. The first part of this dissertation presents a Bayesian approach to (1) modeling the potentially misclassified relapse status and the correlated survival information, (2) estimating the sensitivity and specificity of the diagnostic methods, and (3) quantify the covariate effects on event probabilities. A shared frailty was used to account for the within-subject correlation between survival times. The inference was conducted using a Bayesian framework via Markov Chain Monte Carlo simulation implemented in softwareWinBUGS. Simulation was used to validate the Bayesian method and assess its frequentist properties. The new model has two important innovations: (1) it utilizes the additional survival times correlated with the relapse status to improve the parameter estimation, and (2) it provides tools to address the correlation between the two diagnostic methods conditional to the true relapse types.^ Prediction of patients at highest risk for IBTR after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The goals of the second part of this dissertation were to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center, to determine the risk of IBTR in patients with DCIS treated with local excision, and to determine whether there is a subset of patients at low risk of IBTR. Patients who had undergone local excision from 1990 through 2007 at MD Anderson Cancer Center with a final diagnosis of DCIS (n=794) were included in this part. Clinicopathologic factors and the performance of the Memorial Sloan-Kettering Cancer Center nomogram for prediction of IBTR were assessed for 734 patients with complete data. Nomogram for prediction of 5- and 10-year IBTR probabilities were found to demonstrate imperfect calibration and discrimination, with an area under the receiver operating characteristic curve of .63 and a concordance index of .63. In conclusion, predictive models for IBTR in DCIS patients treated with local excision are imperfect. Our current ability to accurately predict recurrence based on clinical parameters is limited.^ The American Joint Committee on Cancer (AJCC) staging of breast cancer is widely used to determine prognosis, yet survival within each AJCC stage shows wide variation and remains unpredictable. For the third part of this dissertation, biologic markers were hypothesized to be responsible for some of this variation, and the addition of biologic markers to current AJCC staging were examined for possibly provide improved prognostication. The initial cohort included patients treated with surgery as first intervention at MDACC from 1997 to 2006. Cox proportional hazards models were used to create prognostic scoring systems. AJCC pathologic staging parameters and biologic tumor markers were investigated to devise the scoring systems. Surveillance Epidemiology and End Results (SEER) data was used as the external cohort to validate the scoring systems. Binary indicators for pathologic stage (PS), estrogen receptor status (E), and tumor grade (G) were summed to create PS+EG scoring systems devised to predict 5-year patient outcomes. These scoring systems facilitated separation of the study population into more refined subgroups than the current AJCC staging system. The ability of the PS+EG score to stratify outcomes was confirmed in both internal and external validation cohorts. The current study proposes and validates a new staging system by incorporating tumor grade and ER status into current AJCC staging. We recommend that biologic markers be incorporating into revised versions of the AJCC staging system for patients receiving surgery as the first intervention.^ Chapter 1 focuses on developing a Bayesian method to solve misclassified relapse status and application to breast cancer data. Chapter 2 focuses on evaluation of a breast cancer nomogram for predicting risk of IBTR in patients with DCIS after local excision gives the statement of the problem in the clinical research. Chapter 3 focuses on validation of a novel staging system for disease-specific survival in patients with breast cancer treated with surgery as the first intervention. ^

TIME SERIES ANALYSIS AS INPUT FOR PREDICTIVE MODELING: PREDICTING CARDIAC ARREST IN A PEDIATRIC INTENSIVE CARE UNIT

The first manuscript, entitled "Time-Series Analysis as Input for Clinical Predictive Modeling: Modeling Cardiac Arrest in a Pediatric ICU" lays out the theoretical background for the project. There are several core concepts presented in this paper. First, traditional multivariate models (where each variable is represented by only one value) provide single point-in-time snapshots of patient status: they are incapable of characterizing deterioration. Since deterioration is consistently identified as a precursor to cardiac arrests, we maintain that the traditional multivariate paradigm is insufficient for predicting arrests. We identify time series analysis as a method capable of characterizing deterioration in an objective, mathematical fashion, and describe how to build a general foundation for predictive modeling using time series analysis results as latent variables. Building a solid foundation for any given modeling task involves addressing a number of issues during the design phase. These include selecting the proper candidate features on which to base the model, and selecting the most appropriate tool to measure them. We also identified several unique design issues that are introduced when time series data elements are added to the set of candidate features. One such issue is in defining the duration and resolution of time series elements required to sufficiently characterize the time series phenomena being considered as candidate features for the predictive model. Once the duration and resolution are established, there must also be explicit mathematical or statistical operations that produce the time series analysis result to be used as a latent candidate feature. In synthesizing the comprehensive framework for building a predictive model based on time series data elements, we identified at least four classes of data that can be used in the model design. The first two classes are shared with traditional multivariate models: multivariate data and clinical latent features. Multivariate data is represented by the standard one value per variable paradigm and is widely employed in a host of clinical models and tools. These are often represented by a number present in a given cell of a table. Clinical latent features derived, rather than directly measured, data elements that more accurately represent a particular clinical phenomenon than any of the directly measured data elements in isolation. The second two classes are unique to the time series data elements. The first of these is the raw data elements. These are represented by multiple values per variable, and constitute the measured observations that are typically available to end users when they review time series data. These are often represented as dots on a graph. The final class of data results from performing time series analysis. This class of data represents the fundamental concept on which our hypothesis is based. The specific statistical or mathematical operations are up to the modeler to determine, but we generally recommend that a variety of analyses be performed in order to maximize the likelihood that a representation of the time series data elements is produced that is able to distinguish between two or more classes of outcomes. The second manuscript, entitled "Building Clinical Prediction Models Using Time Series Data: Modeling Cardiac Arrest in a Pediatric ICU" provides a detailed description, start to finish, of the methods required to prepare the data, build, and validate a predictive model that uses the time series data elements determined in the first paper. One of the fundamental tenets of the second paper is that manual implementations of time series based models are unfeasible due to the relatively large number of data elements and the complexity of preprocessing that must occur before data can be presented to the model. Each of the seventeen steps is analyzed from the perspective of how it may be automated, when necessary. We identify the general objectives and available strategies of each of the steps, and we present our rationale for choosing a specific strategy for each step in the case of predicting cardiac arrest in a pediatric intensive care unit. Another issue brought to light by the second paper is that the individual steps required to use time series data for predictive modeling are more numerous and more complex than those used for modeling with traditional multivariate data. Even after complexities attributable to the design phase (addressed in our first paper) have been accounted for, the management and manipulation of the time series elements (the preprocessing steps in particular) are issues that are not present in a traditional multivariate modeling paradigm. In our methods, we present the issues that arise from the time series data elements: defining a reference time; imputing and reducing time series data in order to conform to a predefined structure that was specified during the design phase; and normalizing variable families rather than individual variable instances. The final manuscript, entitled: "Using Time-Series Analysis to Predict Cardiac Arrest in a Pediatric Intensive Care Unit" presents the results that were obtained by applying the theoretical construct and its associated methods (detailed in the first two papers) to the case of cardiac arrest prediction in a pediatric intensive care unit. Our results showed that utilizing the trend analysis from the time series data elements reduced the number of classification errors by 73%. The area under the Receiver Operating Characteristic curve increased from a baseline of 87% to 98% by including the trend analysis. In addition to the performance measures, we were also able to demonstrate that adding raw time series data elements without their associated trend analyses improved classification accuracy as compared to the baseline multivariate model, but diminished classification accuracy as compared to when just the trend analysis features were added (ie, without adding the raw time series data elements). We believe this phenomenon was largely attributable to overfitting, which is known to increase as the ratio of candidate features to class examples rises. Furthermore, although we employed several feature reduction strategies to counteract the overfitting problem, they failed to improve the performance beyond that which was achieved by exclusion of the raw time series elements. Finally, our data demonstrated that pulse oximetry and systolic blood pressure readings tend to start diminishing about 10-20 minutes before an arrest, whereas heart rates tend to diminish rapidly less than 5 minutes before an arrest.

Biochar and Managed Perennial Ecosystems

Biochar is a carbon-rich material that is similar to charcoal. It is produced when biomass is burned in the absence of oxygen, a process otherwise known as pyrolysis. Pyrolysis and the production of biochar are currently being promoted as a means to both produce domestic fuel (bio-oil) while concurrently producing a co-product that increases crop yield and sequesters carbon in the soil (biochar). While there may be many potential benefits in the application of biochar to agricultural soils, such as enhanced soil fertility and improved soil water status, there are no studies of higher-order ecological and ecosystem effects of biochar and its potential synergistic interactions (either positive or negative) on complex perennial systems. The goal of this field experiment is to determine how biochar and manure addition directly affect ecosystem structure and function in perennial systems, specifically soil nutrients, water, plants, and soil organisms.

Riego con equipos presurizados

En un área de aprox. 2 000 000 ha del sur de Córdoba (Argentina) se evaluaron los equipos de riego con el fin de conocer su funcionamiento, el grado de uniformidad con que trabajan y la eficiencia de riego lograda por los productores. Se realizaron 21 evaluaciones sobre equipos operando de acuerdo con la programación establecida por sus usuarios; 14 sobre pivote, una sobre avance lateral, 4 sobre enrolladores (3 de cañón y uno de baja presión) y 2 sobre side roll. Los parámetros de calidad de riego brindaron coeficiente medio de uniformidad = 81,4 %, con uniformidad de distribución = 73,23 %. En el 80 % de los casos, la lámina aplicada fluctuó entre 10 y 20 mm siendo su promedio = 17 mm. De los resultados se puede inferir que -en general- la superficie asignada a cada equipo es siempre mayor que su capacidad para realizar oportunamente una óptima reposición del agua al suelo y que, si bien los coeficientes de uniformidad y distribución del agua pueden considerarse aceptables, la programación del riego es mala en todos los establecimientos evaluados poniéndose de manifiesto en la baja eficiencia de almacenamiento y repercutiendo directamente sobre la producción de los cultivos regados.

Influencia de restricciones hídricas poscosecha en el crecimiento vegetativo y reproductivo en plantaciones jóvenes de cerezo (Prunus avium L.)

En cerezos plantas con excesivo vigor son poco precoces, a menudo poco productivas y de difícil manejo en el cultivo. El exceso de vigor puede ser controlado con el uso de estrategias de riego deficitario controlado (RDC). Para contribuir a la racionalización del uso del recurso hídrico, controlar el crecimiento vegetativo vigoroso y estimular la producción precoz en plantaciones jóvenes de cerezo, se estableció un ensayo de RDC en un monte frutal comercial de la variedad Bing regado por goteo en la localidad de Agua Amarga, Mendoza, Argentina, Se evaluó la respuesta a distintos regímenes de riego poscosecha sobre parámetros de crecimiento vegetativo (crecimiento de brotes y tronco, área y peso seco foliar), reproductivo (densidad de floración, rendimiento y calidad de frutos) y estado nutricional (nutrimentos foliares y reservas de carbohidratos no estructurales). Los tratamientos de riego poscosecha fueron: riego a demanda plena (T1= Etc 100 %) y RDC reponiendo el 75 % (T2= Etc 75 %) y 50 % (T3= Etc 50 %) respecto de T1. Se midió el estado hídrico de la planta a través del potencial agua del tallo a mediodía y del suelo con sonda de capacitancia y gravimetría. En T3 disminuyó la longitud de brotes, número y longitud de entrenudos, número de hojas, área foliar y peso seco foliar, y área de tronco. En T2 disminuyó la longitud de brotes y de entrenudos. En T3 la intensidad del déficit hídrico impuesta aumentó la calidad de los ramilletes y la producción de yemas de flor, flores y frutos en el ciclo vegetativo siguiente. La calidad y madurez de frutos no fue afectada por los tratamientos de RDC, aunque en T3 aumentó levemente la proporción de frutos dobles. Luego del primer año de RDC en las plantas del T3 hubo una disminución significativa, aunque leve, del contenido de Ky P foliares y de almidón en raíces, El potencial hídrico del tallo a mediodía resultó un buen indicador del estado hídrico de las plantas. En cerezos un ajuste preciso del nivel de restricción hidrica poscosecha puede ser una estrategia de manejo para controlar el vigor y estimular la producción precoz, Al mismo tiempo se ahorran importantes cantidades de agua.

Efecto del riego deficitario controlado sobre el crecimiento vegetativo en plantaciones jóvenes de cerezo (Prunus avium L.)

En cerezo, plantas con excesivo vigor son poco precoces, poco productivas y de difícil manejo. El exceso de vigor podría ser controlado con estrategias de riego deficitario controlado (RDC). Durante dos años se realizó un ensayo de RDC en un monte frutal comercial joven y de alto vigor de cerezos Bing, plantado en suelo árido poco profundo y regado por goteo. Se evaluó la respuesta a distintos regímenes de riego sobre el crecimiento de brotes terminales y vigorosos, área y peso seco foliar, y crecimiento de tronco. Los tratamientos de riego fueron: T1 = 100%, T2 = 75% y T3 = 50% de la evapotranspiración máxima (ETc full), respectivamente. Se midió periódicamente el estado hídrico de la planta a través del potencial agua del tallo a mediodía y el estado hídrico del suelo mediante gravimetría. En T3 disminuyó la longitud de brotes, número y longitud de entrenudos, número de hojas, área foliar y peso seco foliar, y área de tronco. En T2 disminuyó la longitud de brotes y entrenudos y el área de sección de tronco. El potencial hídrico del tallo a mediodía fue un buen indicador del estado hídrico de las plantas. En cerezos, un ajuste preciso del nivel de restricción hídrica puede ser una estrategia de manejo para controlar vigor y para ahorrar importantes cantidades de agua.

Regulación de la hidratación y la turgencia foliares por mecanismos evitadores del estrés, y resistencia a déficit hídrico en vid

El transporte del agua en las plantas es impulsado por diferencias de energía libre entre el suelo y la atmósfera, y está regulado por mecanismos biológicos evitadores, como el cierre estomático. La hidratación y la turgencia foliares resultan del equilibrio entre ΨL del apoplasto, el potencial osmótico del simplasto y la elasticidad de los tejidos. Sobre esta base se conjeturó que las interacciones de los mecanismos evitadores del estrés hídrico de la planta tienen un rol clave en la definición de su resistencia a déficit hídrico. Para probar esta hipótesis se construyó un modelo mecanístico basado en las leyes del flujo de savia de Van de Honert, de difusión de Fick, de elasticidad de Hooke, la ecuación de Gardner para el flujo del agua en la rizósfera y el modelo de conductancia estomática (gs) de Buckley. Mediante el modelo se demostró teóricamente que la hidratación y la turgencia foliares dependen de la oferta de agua edáfica (representada por el potencial hídrico del suelo) y de la demanda evaporativa de la atmósfera (representada por la radiación absorbida, la temperatura del aire, la velocidad del viento y el déficit de presión de vapor de la atmósfera). También que los mecanismos evitadores del estrés hídrico -i.e., conductancia hidráulica de la planta, conductancia estomática, elasticidad del tejido y potencial osmótico a turgencia máxima- son todos necesarios para determinar la hidratación y la turgencia foliares. El modelo también demostró que la conductancia hidráulica suelo-hoja (kL) depende de la fracción de agua edáfica transpirable (FTSW) con un patrón de decaimiento sigmoide, a medida que el suelo se seca. Esto implica que las variables que dependen en parte de kL (i.e., gs, transpiración, fotosíntesis y superficie foliar) también dependen de FTSW con el mismo patrón. El modelo se probó experimentalmente a distintos niveles de humedad edáfica (desde déficit hídrico nulo, hasta severo) en cinco variedades de vid y mostró un poder predictivo superior al 90%. En todas las variedades las gs se asociaron linealmente con las kL observadas, al considerar todas las situaciones de déficit hídrico en conjunto, si bien la pendiente de estas relaciones fueron distintas en cada variedad. La contrastación experimental mostró que, en una escala de tiempo de varios meses, las variedades más evitadoras -i.e., Grenache y Cereza- mantuvieron mayor kL, ajuste osmótico y rigidez de los tejidos y una menor pendiente de la relación de gs vs. kL, que las variedades menos evitadoras -i.e., Malbec y Syrah-. La menor pendiente de la relación entre gs y kL, en las variedades más evitadoras, estuvo asociada a una mayor cantidad de estomas, en relación con la cantidad de células epidérmicas. Los variedades más evitadoras bajo déficit hídrico moderado -i.e., con una fracción de agua edáfica transpirable entre 0,6 y 0,4- tuvieron mayor superficie foliar y produjeron más biomasa, favoreciendo raíces profundas y densas, y ahorrando agua. Chardonnay mantuvo una alta hidratación y turgencia a expensas de un alto gasto de agua debido a que privilegiaba una alta kL por sobre el ajuste estomático, por lo que no podría considerarse en forma estricta como muy evitadora.

Consumo de agua de plantas jóvenes de manzano regadas por goteo

En la EEA INTA Alto Valle se determinaron coeficientes de cultivos (Kc) de manzano 'Cripp´s Pink', en su segunda temporada de crecimiento, mediante la utilización de tres lisímetros de drenaje. Dentro de cada lisímetro se colocó un manzano, en la misma fecha en la cual se realizó la plantación del monte frutal. El cultivo fue regado diariamente, mediante un lateral, con goteros integrales de 4 l h-1 distanciados cada 0,50 m. Durante la temporada de crecimiento del cultivo se realizaron determinaciones de: volumen de agua aplicada y drenada, tensión del agua en el suelo, área seccional de tronco, intercepción de radiación y porcentaje de superficie sombreada. La mayor evapotranspiración del cultivo (ETc) mensual correspondió a enero con 2,5 mm día-1 lo que equivale a 20 litros planta-1 día-1 teniendo en cuenta el marco de plantación del cultivo. Los Kc incrementaron sus valores desde un valor inicial de 0,26 en plena floración (04/10/09) hasta 0,47 a finales de noviembre, y desde entonces permanecieron casi constantes hasta finales de abril. El valor calculado de la evapotranspiración anual del manzano 'Cripp's Pink', en su segunda temporada de crecimiento fue de 401 mm.

Efecto del régimen de riego en el rendimiento de alfalfa para corte en el Valle Central de Catamarca, Argentina

En la provincia de Catamarca existe una gran superficie cultivada con alfalfa bajo riego. La falta de conocimiento de los requerimientos hídricos del cultivo en esta zona es un grave inconveniente. Con el objeto de subsanar este problema, se realizó en el Valle Central un ensayo de riego con un diseño en bloques completamente al azar, con cuatro tratamientos y cuatro repeticiones. Los tratamientos consistieron en la reposición de humedad al suelo a distintos umbrales: 75, 50, 25 y 0% de la capacidad de almacenamiento total de agua del suelo. Se evaluó la producción de materia seca en cada tratamiento durante siete cortes. Los resultados mostraron que al regar con un umbral del 75 o del 50% se obtienen rendimientos promedio similares de materia seca: 25.674,4 kg.ha-1.año-1 y 24.215,4 kg.ha-1.año-1 respectivamente. El trabajo muestra que hay diferencias significativas (p < 0,0001) entre las medias de estos tratamientos con respecto a los otros dos, que tienen rendimientos inferiores: 16.366,7 kg.ha-1.año-1 para el umbral de riego del 25% y de 9.970,9 kg.ha-1.año-1 para un umbral del 0%. Se concluyó que la producción del cultivo disminuye considerablemente con intervalos de riego muy prolongados.