Indoor and Outdoor Natural Radioactivity in the Vulsini Volcanic District (Central Italy): Estimation of Doses and Radiological Risks

Terrestrial radioactivity for most individual is the major contributor to the total dose and is mostly provided by 238U, 232Th and 40K radionuclides. In particular indoor radioactivity is principally due to 222Rn, a radioactive noble gas descendent of 238U, second cause of lung cancer after cigarettes smoking. Vulsini Volcanic District is a well known quaternary volcanic area located between the northern Latium and southern Tuscany (Central Italy). It is characterized by an high natural radiation background resulting from the high concentrations of 238U, 232Th and 40K in the volcanic products. In this context, subduction-related metasomatic enrichment of incompatible elements in the mantle source coupled with magma differentiation within the upper crust has given rise to U, Th and K enriched melts. Almost every ancient village and town located in this part of Italy has been built with volcanic rocks pertaining to the Vulsini Volcanic District. The radiological risk of living in this area has been estimated considering separately: a. the risk associated with buildings made of volcanic products and built on volcanic rock substrates b. the risk associated to soil characteristics. The former has been evaluated both using direct 222Rn indoor measurements and simulations of “standard rooms” built with the tuffs and lavas from the Vulsini Volcanic District investigated in this work. The latter has been carried out by using in situ measurements of 222Rn activity in the soil gases. A radon risk map for the Bolsena village has been developed using soil radon measurements integrating geological information. Data of airborne radioactivity in ambient aerosol at two elevated stations in Emilia Romagna (North Italy) under the influence of Fukushima plume have been collected, effective doses have been calculated and an extensive comparison between doses associated with artificial and natural sources in different area have been described and discussed.

Energy-efficient Communication and Estimation in Wireless Sensor Networks

This thesis focuses on the energy efficiency in wireless networks under the transmission and information diffusion points of view. In particular, on one hand, the communication efficiency is investigated, attempting to reduce the consumption during transmissions, while on the other hand the energy efficiency of the procedures required to distribute the information among wireless nodes in complex networks is taken into account. For what concerns energy efficient communications, an innovative transmission scheme reusing source of opportunity signals is introduced. This kind of signals has never been previously studied in literature for communication purposes. The scope is to provide a way for transmitting information with energy consumption close to zero. On the theoretical side, starting from a general communication channel model subject to a limited input amplitude, the theme of low power transmission signals is tackled under the perspective of stating sufficient conditions for the capacity achieving input distribution to be discrete. Finally, the focus is shifted towards the design of energy efficient algorithms for the diffusion of information. In particular, the endeavours are aimed at solving an estimation problem distributed over a wireless sensor network. The proposed solutions are deeply analyzed both to ensure their energy efficiency and to guarantee their robustness against losses during the diffusion of information (against information diffusion truncation more in general).

A MULTILEVEL MODEL TO ADDRESS BATCH EFFECTS IN COPY NUMBER ESTIMATION USING SNP ARRAYS

Submicroscopic changes in chromosomal DNA copy number dosage are common and have been implicated in many heritable diseases and cancers. Recent high-throughput technologies have a resolution that permits the detection of segmental changes in DNA copy number that span thousands of basepairs across the genome. Genome-wide association studies (GWAS) may simultaneously screen for copy number-phenotype and SNP-phenotype associations as part of the analytic strategy. However, genome-wide array analyses are particularly susceptible to batch effects as the logistics of preparing DNA and processing thousands of arrays often involves multiple laboratories and technicians, or changes over calendar time to the reagents and laboratory equipment. Failure to adjust for batch effects can lead to incorrect inference and requires inefficient post-hoc quality control procedures that exclude regions that are associated with batch. Our work extends previous model-based approaches for copy number estimation by explicitly modeling batch effects and using shrinkage to improve locus-specific estimates of copy number uncertainty. Key features of this approach include the use of diallelic genotype calls from experimental data to estimate batch- and locus-specific parameters of background and signal without the requirement of training data. We illustrate these ideas using a study of bipolar disease and a study of chromosome 21 trisomy. The former has batch effects that dominate much of the observed variation in quantile-normalized intensities, while the latter illustrates the robustness of our approach to datasets where as many as 25% of the samples have altered copy number. Locus-specific estimates of copy number can be plotted on the copy-number scale to investigate mosaicism and guide the choice of appropriate downstream approaches for smoothing the copy number as a function of physical position. The software is open source and implemented in the R package CRLMM available at Bioconductor (http:www.bioconductor.org).

SPATIAL UNDERSTANDING OF MATRIX INVERSION FOR INVERSE FORCE ESTIMATION

A basic approach to study a NVH problem is to break down the system in three basic elements – source, path and receiver. While the receiver (response) and the transfer path can be measured, it is difficult to measure the source (forces) acting on the system. It becomes necessary to predict these forces to know how they influence the responses. This requires inverting the transfer path. Singular Value Decomposition (SVD) method is used to decompose the transfer path matrix into its principle components which is required for the inversion. The usual approach to force prediction requires rejecting the small singular values obtained during SVD by setting a threshold, as these small values dominate the inverse matrix. This assumption of the threshold may be subjected to rejecting important singular values severely affecting force prediction. The new approach discussed in this report looks at the column space of the transfer path matrix which is the basis for the predicted response. The response participation is an indication of how the small singular values influence the force participation. The ability to accurately reconstruct the response vector is important to establish a confidence in force vector prediction. The goal of this report is to suggest a solution that is mathematically feasible, physically meaningful, and numerically more efficient through examples. This understanding adds new insight to the effects of current code and how to apply algorithms and understanding to new codes.

Climate spectrum estimation in the presence of timescale errors

We introduce an algorithm (called REDFITmc2) for spectrum estimation in the presence of timescale errors. It is based on the Lomb-Scargle periodogram for unevenly spaced time series, in combination with the Welch's Overlapped Segment Averaging procedure, bootstrap bias correction and persistence estimation. The timescale errors are modelled parametrically and included in the simulations for determining (1) the upper levels of the spectrum of the red-noise AR(1) alternative and (2) the uncertainty of the frequency of a spectral peak. Application of REDFITmc2 to ice core and stalagmite records of palaeoclimate allowed a more realistic evaluation of spectral peaks than when ignoring this source of uncertainty. The results support qualitatively the intuition that stronger effects on the spectrum estimate (decreased detectability and increased frequency uncertainty) occur for higher frequencies. The surplus information brought by algorithm REDFITmc2 is that those effects are quantified. Regarding timescale construction, not only the fixpoints, dating errors and the functional form of the age-depth model play a role. Also the joint distribution of all time points (serial correlation, stratigraphic order) determines spectrum estimation.

Estimation of male-to-female ratios of mutation rate in primates and rodents

Haldane (1935) developed a method for estimating the male-to-female ratio of mutation rate ($\alpha$) by using sex-linked recessive genetic disease, but in six different studies using hemophilia A data the estimates of $\alpha$ varied from 1.2 to 29.3. Direct genomic sequencing is a better approach, but it is laborious and not readily applicable to non-human organisms. To study the sex ratios of mutation rate in various mammals, I used an indirect method proposed by Miyata et al. (1987). This method takes advantage of the fact that different chromosomes segregate differently between males and females, and uses the ratios of mutation rate in sequences on different chromosomes to estimate the male-to-female ratio of mutation rate. I sequenced the last intron of ZFX and ZFY genes in 6 species of primates and 2 species of rodents; I also sequenced the partial genomic sequence of the Ube1x and Ube1y genes of mice and rats. The purposes of my study in addition to estimation of $\alpha$'s in different mammalian species, are to test the hypothesis that most mutations are replication dependent and to examine the generation-time effect on $\alpha$. The $\alpha$ value estimated from the ZFX and ZFY introns of the six primate specise is ${\sim}$6. This estimate is the same as an earlier estimate using only 4 species of primates, but the 95% confidence interval has been reduced from (2, 84) to (2, 33). The estimate of $\alpha$ in the rodents obtained from Zfx and Zfy introns is ${\sim}$1.9, and that deriving from Ube1x and Ube1y introns is ${\sim}$2. Both estimates have a 95% confidence interval from 1 to 3. These two estimates are very close to each other, but are only one-third of that of the primates, suggesting a generation-time effect on $\alpha$. An $\alpha$ of 6 in primates and 2 in rodents are close to the estimates of the male-to-female ratio of the number of germ-cell divisions per generation in humans and mice, which are 6 and 2, respectively, assuming the generation time in humans is 20 years and that in mice is 5 months. These findings suggest that errors during germ-cell DNA replication are the primary source of mutation and that $\alpha$ decreases with decreasing length of generation time. ^

Estimation of aortic pressure waveforms from 4D phase-contrast MRI

Several approaches for the non-invasive MRI-based measurement of the aortic pressure waveform over the heart cycle have been proposed in the last years. These methods are normally based on time-resolved, two-dimensional phase-contrast sequences with uni-directionally encoded velocities (2D PC-MRI). In contrast, three-dimensional acquisitions with tridirectional velocity encoding (4D PC-MRI) have been shown to be a suitable data source for detailed investigations of blood flow and spatial blood pressure maps. In order to avoid additional MR acquisitions, it would be advantageous if the aortic pressure waveform could also be computed from this particular form of MRI. Therefore, we propose an approach for the computation of the aortic pressure waveform which can be completely performed using 4D PC-MRI. After the application of a segmentation algorithm, the approach automatically computes the aortic pressure waveform without any manual steps. We show that our method agrees well with catheter measurements in an experimental phantom setup and produces physiologically realistic results in three healthy volunteers.

Automatic estimation of noise parameters in Fourier-domain optical coherence tomography cross sectional images using statistical information

We present an application and sample independent method for the automatic discrimination of noise and signal in optical coherence tomography Bscans. The proposed algorithm models the observed noise probabilistically and allows for a dynamic determination of image noise parameters and the choice of appropriate image rendering parameters. This overcomes the observer variability and the need for a priori information about the content of sample images, both of which are challenging to estimate systematically with current systems. As such, our approach has the advantage of automatically determining crucial parameters for evaluating rendered image quality in a systematic and task independent way. We tested our algorithm on data from four different biological and nonbiological samples (index finger, lemon slices, sticky tape, and detector cards) acquired with three different experimental spectral domain optical coherence tomography (OCT) measurement systems including a swept source OCT. The results are compared to parameters determined manually by four experienced OCT users. Overall, our algorithm works reliably regardless of which system and sample are used and estimates noise parameters in all cases within the confidence interval of those found by observers.

Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina

Solar radiation is the most important source of renewable energy in the planet; it's important to solar engineers, designers and architects, and it's also fundamental for efficiently determining irrigation water needs and potential yield of crops, among others. Complete and accurate solar radiation data at a specific region are indispensable. For locations where measured values are not available, several models have been developed to estimate solar radiation. The objective of this paper was to calibrate, validate and compare five representative models to predict global solar radiation, adjusting the empirical coefficients to increase the local applicability and to develop a linear model. All models were based on easily available meteorological variables, without sunshine hours as input, and were used to estimate the daily solar radiation at Cañada de Luque (Córdoba, Argentina). As validation, measured and estimated solar radiation data were analyzed using several statistic coefficients. The results showed that all the analyzed models were robust and accurate (R2 and RMSE values between 0.87 to 0.89 and 2.05 to 2.14, respectively), so global radiation can be estimated properly with easily available meteorological variables when only temperature data are available. Hargreaves-Samani, Allen and Bristow-Campbell models could be used with typical values to estimate solar radiation while Samani and Almorox models should be applied with calibrated coefficients. Although a new linear model presented the smallest R2 value (R2 = 0.87), it could be considered useful for its easy application. The daily global solar radiation values produced for these models can be used to estimate missing daily values, when only temperature data are available, and in hydrologic or agricultural applications.

Visual Tracking, Pose Estimation, and Control for Aerial Vehicles

El principal objetivo de esta tesis es dotar a los vehículos aéreos no tripulados (UAVs, por sus siglas en inglés) de una fuente de información adicional basada en visión. Esta fuente de información proviene de cámaras ubicadas a bordo de los vehículos o en el suelo. Con ella se busca que los UAVs realicen tareas de aterrizaje o inspección guiados por visión, especialmente en aquellas situaciones en las que no haya disponibilidad de estimar la posición del vehículo con base en GPS, cuando las estimaciones de GPS no tengan la suficiente precisión requerida por las tareas a realizar, o cuando restricciones de carga de pago impidan añadir sensores a bordo de los vehículos. Esta tesis trata con tres de las principales áreas de la visión por computador: seguimiento visual y estimación visual de la pose (posición y orientación), que a su vez constituyen la base de la tercera, denominada control servo visual, que en nuestra aplicación se enfoca en el empleo de información visual para controlar los UAVs. Al respecto, esta tesis se ocupa de presentar propuestas novedosas que permitan solucionar problemas relativos al seguimiento de objetos mediante cámaras ubicadas a bordo de los UAVs, se ocupa de la estimación de la pose de los UAVs basada en información visual obtenida por cámaras ubicadas en el suelo o a bordo, y también se ocupa de la aplicación de las técnicas propuestas para solucionar diferentes problemas, como aquellos concernientes al seguimiento visual para tareas de reabastecimiento autónomo en vuelo o al aterrizaje basado en visión, entre otros. Las diversas técnicas de visión por computador presentadas en esta tesis se proponen con el fin de solucionar dificultades que suelen presentarse cuando se realizan tareas basadas en visión con UAVs, como las relativas a la obtención, en tiempo real, de estimaciones robustas, o como problemas generados por vibraciones. Los algoritmos propuestos en esta tesis han sido probados con información de imágenes reales obtenidas realizando pruebas on-line y off-line. Diversos mecanismos de evaluación han sido empleados con el propósito de analizar el desempeño de los algoritmos propuestos, entre los que se incluyen datos simulados, imágenes de vuelos reales, estimaciones precisas de posición empleando el sistema VICON y comparaciones con algoritmos del estado del arte. Los resultados obtenidos indican que los algoritmos de visión por computador propuestos tienen un desempeño que es comparable e incluso mejor al de algoritmos que se encuentran en el estado del arte. Los algoritmos propuestos permiten la obtención de estimaciones robustas en tiempo real, lo cual permite su uso en tareas de control visual. El desempeño de estos algoritmos es apropiado para las exigencias de las distintas aplicaciones examinadas: reabastecimiento autónomo en vuelo, aterrizaje y estimación del estado del UAV. Abstract The main objective of this thesis is to provide Unmanned Aerial Vehicles (UAVs) with an additional vision-based source of information extracted by cameras located either on-board or on the ground, in order to allow UAVs to develop visually guided tasks, such as landing or inspection, especially in situations where GPS information is not available, where GPS-based position estimation is not accurate enough for the task to develop, or where payload restrictions do not allow the incorporation of additional sensors on-board. This thesis covers three of the main computer vision areas: visual tracking and visual pose estimation, which are the bases the third one called visual servoing, which, in this work, focuses on using visual information to control UAVs. In this sense, the thesis focuses on presenting novel solutions for solving the tracking problem of objects when using cameras on-board UAVs, on estimating the pose of the UAVs based on the visual information collected by cameras located either on the ground or on-board, and also focuses on applying these proposed techniques for solving different problems, such as visual tracking for aerial refuelling or vision-based landing, among others. The different computer vision techniques presented in this thesis are proposed to solve some of the frequently problems found when addressing vision-based tasks in UAVs, such as obtaining robust vision-based estimations at real-time frame rates, and problems caused by vibrations, or 3D motion. All the proposed algorithms have been tested with real-image data in on-line and off-line tests. Different evaluation mechanisms have been used to analyze the performance of the proposed algorithms, such as simulated data, images from real-flight tests, publicly available datasets, manually generated ground truth data, accurate position estimations using a VICON system and a robotic cell, and comparison with state of the art algorithms. Results show that the proposed computer vision algorithms obtain performances that are comparable to, or even better than, state of the art algorithms, obtaining robust estimations at real-time frame rates. This proves that the proposed techniques are fast enough for vision-based control tasks. Therefore, the performance of the proposed vision algorithms has shown to be of a standard appropriate to the different explored applications: aerial refuelling and landing, and state estimation. It is noteworthy that they have low computational overheads for vision systems.

Development of a wake model for wind farms based on an open source CFD solver. Strategies on parabolization and turbulence modeling

Wake effect represents one of the most important aspects to be analyzed at the engineering phase of every wind farm since it supposes an important power deficit and an increase of turbulence levels with the consequent decrease of the lifetime. It depends on the wind farm design, wind turbine type and the atmospheric conditions prevailing at the site. Traditionally industry has used analytical models, quick and robust, which allow carry out at the preliminary stages wind farm engineering in a flexible way. However, new models based on Computational Fluid Dynamics (CFD) are needed. These models must increase the accuracy of the output variables avoiding at the same time an increase in the computational time. Among them, the elliptic models based on the actuator disk technique have reached an extended use during the last years. These models present three important problems in case of being used by default for the solution of large wind farms: the estimation of the reference wind speed upstream of each rotor disk, turbulence modeling and computational time. In order to minimize the consequence of these problems, this PhD Thesis proposes solutions implemented under the open source CFD solver OpenFOAM and adapted for each type of site: a correction on the reference wind speed for the general elliptic models, the semi-parabollic model for large offshore wind farms and the hybrid model for wind farms in complex terrain. All the models are validated in terms of power ratios by means of experimental data derived from real operating wind farms.

Optimización de la Exactitud Geométrica al Integrar Diversas Fuentes de Datos en Proyectos de Inventario Forestal Basados en Escaneo Laser Aerotransportado=Optimizing Geometric Accuracy in Data Source Integration for Airborne Laser Scanning-based Forest Inventory Projects

La mayoría de las aplicaciones forestales del escaneo laser aerotransportado (ALS, del inglés airborne laser scanning) requieren la integración y uso simultaneo de diversas fuentes de datos, con el propósito de conseguir diversos objetivos. Los proyectos basados en sensores remotos normalmente consisten en aumentar la escala de estudio progresivamente a lo largo de varias fases de fusión de datos: desde la información más detallada obtenida sobre un área limitada (la parcela de campo), hasta una respuesta general de la cubierta forestal detectada a distancia de forma más incierta pero cubriendo un área mucho más amplia (la extensión cubierta por el vuelo o el satélite). Todas las fuentes de datos necesitan en ultimo termino basarse en las tecnologías de sistemas de navegación global por satélite (GNSS, del inglés global navigation satellite systems), las cuales son especialmente erróneas al operar por debajo del dosel forestal. Otras etapas adicionales de procesamiento, como la ortorectificación, también pueden verse afectadas por la presencia de vegetación, deteriorando la exactitud de las coordenadas de referencia de las imágenes ópticas. Todos estos errores introducen ruido en los modelos, ya que los predictores se desplazan de la posición real donde se sitúa su variable respuesta. El grado por el que las estimaciones forestales se ven afectadas depende de la dispersión espacial de las variables involucradas, y también de la escala utilizada en cada caso. Esta tesis revisa las fuentes de error posicional que pueden afectar a los diversos datos de entrada involucrados en un proyecto de inventario forestal basado en teledetección ALS, y como las propiedades del dosel forestal en sí afecta a su magnitud, aconsejando en consecuencia métodos para su reducción. También se incluye una discusión sobre las formas más apropiadas de medir exactitud y precisión en cada caso, y como los errores de posicionamiento de hecho afectan a la calidad de las estimaciones, con vistas a una planificación eficiente de la adquisición de los datos. La optimización final en el posicionamiento GNSS y de la radiometría del sensor óptico permitió detectar la importancia de este ultimo en la predicción de la desidad relativa de un bosque monoespecífico de Pinus sylvestris L. ABSTRACT Most forestry applications of airborne laser scanning (ALS) require the integration and simultaneous use of various data sources, pursuing a variety of different objectives. Projects based on remotely-sensed data generally consist in upscaling data fusion stages: from the most detailed information obtained for a limited area (field plot) to a more uncertain forest response sensed over a larger extent (airborne and satellite swath). All data sources ultimately rely on global navigation satellite systems (GNSS), which are especially error-prone when operating under forest canopies. Other additional processing stages, such as orthorectification, may as well be affected by vegetation, hence deteriorating the accuracy of optical imagery’s reference coordinates. These errors introduce noise to the models, as predictors displace from their corresponding response. The degree to which forest estimations are affected depends on the spatial dispersion of the variables involved and the scale used. This thesis reviews the sources of positioning errors which may affect the different inputs involved in an ALS-assisted forest inventory project, and how the properties of the forest canopy itself affects their magnitude, advising on methods for diminishing them. It is also discussed how accuracy should be assessed, and how positioning errors actually affect forest estimation, toward a cost-efficient planning for data acquisition. The final optimization in positioning the GNSS and optical image allowed to detect the importance of the latter in predicting relative density in a monospecific Pinus sylvestris L. forest.

Wavelet description of the Glottal Gap

The Glottal Source correlates reconstructed from the phonated parts of voice may render interesting information with applicability in different fields. One of them is defective closure (gap) detection. Through the paper the background to explain the physical foundations of defective gap are reviewed. A possible method to estimate defective gap is also presented based on a Wavelet Description of the Glottal Source. The method is validated using results from the analysis of a gender-balanced speakers database. Normative values for the different parameters estimated are given. A set of study cases with deficient glottal closure is presented and discussed.

Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of mild cognitive impaired conditions

Whole brain resting state connectivity is a promising biomarker that might help to obtain an early diagnosis in many neurological diseases, such as dementia. Inferring resting-state connectivity is often based on correlations, which are sensitive to indirect connections, leading to an inaccurate representation of the real backbone of the network. The precision matrix is a better representation for whole brain connectivity, as it considers only direct connections. The network structure can be estimated using the graphical lasso (GL), which achieves sparsity through l1-regularization on the precision matrix. In this paper, we propose a structural connectivity adaptive version of the GL, where weaker anatomical connections are represented as stronger penalties on the corre- sponding functional connections. We applied beamformer source reconstruction to the resting state MEG record- ings of 81 subjects, where 29 were healthy controls, 22 were single-domain amnestic Mild Cognitive Impaired (MCI), and 30 were multiple-domain amnestic MCI. An atlas-based anatomical parcellation of 66 regions was ob- tained for each subject, and time series were assigned to each of the regions. The fiber densities between the re- gions, obtained with deterministic tractography from diffusion-weighted MRI, were used to define the anatomical connectivity. Precision matrices were obtained with the region specific time series in five different frequency bands. We compared our method with the traditional GL and a functional adaptive version of the GL, in terms of log-likelihood and classification accuracies between the three groups. We conclude that introduc- ing an anatomical prior improves the expressivity of the model and, in most cases, leads to a better classification between groups.

Identification of the method to quantify soluble fibre and the effect of the source of fibre on the ileal and faecal digestibility of soluble and insoluble fibre in rabbits = Identificación del método para cuantificar la fibra soluble y el efecto de la fuente de fibra en la digestibilidad ileal y fecal de la fibra soluble e insoluble en conejos

La presente tesis constituye un avance en el estudio de los métodos para cuantificar la fibra soluble y los efectos de las fracciones de fibra y las fuentes de fibra sobre la digestión de las diferentes fracciones de fibra (soluble e insoluble) en el conejo. Hay un efecto positivo de la fibra soluble sobre la salud intestinal de los conejos y, por ende, una reducción de la mortalidad en animales destetados. Pese a esto, no está claro si estos efectos se deben específicamente a la fracción soluble. Por lo que los objetivos generales de esta tesis fueron: 1) comparar diferentes metodologías químicas e in vitro para cuantificar la fibra soluble y estudiar las posibles interferencias en la cuantificación de la fibra soluble por las mucinas, y viceversa, 2) determinar los efectos de la fibra, el lugar de fermentación, el método para valorar la fibra soluble e insoluble, y la corrección de la fibra soluble por el contenido intestinal de mucinas sobre la digestibilidad de las distintas fracciones de la fibra y 3) evaluar los efectos individuales de las fracciones soluble e insoluble de la fibra de pulpa de remolacha y de manzana, sobre la digestibilidad de la fibra soluble e insoluble y los parámetros digestivos. Para ello se llevaron a cabo 4 estudios. En el primer estudio se compararon diferentes metodologías químicas e in vitro para valorar la fibra soluble de diferentes alimentos y se estudió la posible interferencia en la determinación de la fibra soluble y mucinas. Para ello se utilizaron seis ingredientes (pulpa de remolacha, pectinas de pulpa de remolacha, pulpa de remolacha lavada, paja de cereal, cascarilla de girasol y lignocelulosa) y siete piensos de conejos con diferentes niveles de fibra soluble. En un primer experimento se analizó la fibra dietética total (FDT), la fibra dietética insoluble (FDI), la fibra dietética soluble (FDS), la fibra neutro detergente corregida por cenizas y proteínas (aFNDmo-pb), y la digestibilidad in vitro 2 pasos pepsina/pancreatina (residuo corregido por cenizas y proteína, ivMSi2) de los ingredientes y piensos. Además la fibra soluble se calculó mediante la diferencia entre FDT-FDI (FDSFDI), FDT- ivMSi2 (FDSivMSi2), y FDT - aFNDmo-pb (FDSaFNDmo-pb). Cuando la fibra soluble se determinó directamente como FDS o se calculó como FDT-FDI no se observaron diferencias (109 g/kg MS, en promedio). Sin embargo, cuando la fibra soluble se calculó como FDT - aFNDmo-pb su valor fue un 40% menor (153 g/kg MS. P < 0,05), mientras que la FDSFDI (124 g/kg MS) no fue diferente a ninguna de las otras metodologías. La correlación entre los tres métodos fue elevada (r > 0,96. P < 0,001. n = 13), pero disminuyó o incluso desapareció cuando la pulpa o las pectinas de la remolacha fueron excluidas del análisis. En un segundo experimento, se comparó el método ivDMi2 usando crisoles (método de referencia) con una modificación del mismo usando bolsas ANKOM digeridas individualmente o en colectivo para simplificar la determinación de la FDSivMSi2. La FDSivMSi2 no difirió entre los métodos comparados. En un tercer experimento, se analizó la posible interferencia entre la determinación de la fibra soluble y las mucinas intestinales. Se observó un contenido de FDT y de mucinas elevado en las muestras de pectinas de remolacha (994 y 709 g/kg MS), así como en el moco intestinal de conejo (571 y 739 g/kg MS) cuando se aplicó el método de mucinas por precipitación con etanol. Sin embargo, después de aplicar una pectinasa en el material precipitado, la cantidad de mucinas recuperadas en las muestras de pectinas de remolacha fue cercana a cero, mientras que en el moco intestinal fue similar a los resultados previos al uso de la enzima. Con los resultados de este ensayo se estimaron los carbohidratos de mucinas retenidos en los contenidos digestivos y se propuso una corrección para la determinación de la digestibilidad de la FDT y fibra soluble. En conclusión, la contaminación de las mucinas de la digesta con fibra soluble se soluciona usando pectinasas. El segundo estudio se centró en estudiar: 1) el efecto del tipo de fibra, 2) el sitio de fermentación, 3) el método para cuantificar fibra y 4) la corrección por mucinas sobre la digestibilidad de la fibra. Para ello se formularon tres piensos con diferentes niveles de fibra soluble (FDT-aFNDmo-pb). Un pienso bajo en fibra soluble (LSF. 85 g/kg DM), un pienso medio en fibra soluble (MSF. 102 g/kg DM), y un pienso alto en fibra soluble (HSF. 145 g/kg DM). Estos piensos se obtuvieron reemplazando un 50% del heno del alfalfa en el pienso MSF por una mezcla de pulpa de manzana y remolacha (HSF) o por una mezcla de cascarilla de avena y proteína de soja (LSF). Se utilizaron 30 conejas canuladas para determinar la digestibilidad ileal y fecal. La digestibilidad cecal se calculó mediante diferencia entre la digestibilidad fecal e ileal. La fibra insoluble se determinó como aFNDmo-pb, IDF, e ivMSi2, mientras que la fibra soluble se calculó como FDSFDI, FDSaFNDmo-pb, y FDSivMSi2. La digestibilidad de la FDT y la fibra soluble se corrigieron por las mucinas. La concentración de mucinas en la digesta ileal y fecal, aumento desde el grupo LSF hasta el grupo con el pienso HSF (P < 0,01). La corrección por mucinas aumentó las digestibilidades de la FDT y la fibra soluble a nivel ileal, mientras que a nivel cecal las redujo. (P < 0.01). El coeficiente de digestibilidad ileal de FDT aumentó desde el grupo LSF al grupo HSF (0,12 vs. 0,281. P < 0,01), sin diferencias en el coeficiente de digestibilidad cecal (0,264), por lo que la tendencia a nivel fecal entre los grupos se mantuvo. El coeficiente de digestibilidad ileal de la fibra insoluble aumento desde el grupo con el pienso LSF al grupo con el pienso HSF (0,113 vs. 0,210. P < 0,01), sin diferencias a nivel cecal (0,139) y sin efecto del método usado, resultando en una digestibilidad elevada a nivel fecal, con tendencias similares a las observadas a nivel ileal. El coeficiente de digestibilidad de la FND fue elevada en comparación con la FDI o la ivMSi2 (P > 0.01). El coeficiente de la digestibilidad ileal de la fibra soluble fue mayor en el grupo LSF respecto al grupo LSF (0,436 vs. 0,145. P < 0,01) y el método no afectó a esta determinación. El coeficiente de la digestibilidad cecal de la fibra soluble se redujo desde el grupo LSF hasta el grupo HSF (0,721 vs. 0,492. P < 0,05). El valor más bajo de digestibilidad cecal y fecal de fibra soluble fue medido con el método FDSaFNDmo-pb (P < 0,01). Se observó una alta correlación entre las digestibilidades de la fibra soluble determinada como FDSFDI, FDSaFNDmo-pb, y FDSivMSi2, por lo tanto la información proporcionada por una u otra metodología fueron similares. Sin embargo, cuando se compararon con efectos fisiológicos (producción de mucinas y peso del ciego y pH del ciego de un trabajo previo), la FDSaFNDmo-pb globalmente mostró estar mejor correlacionado con estos parámetros fisiológicos. En conclusión, la corrección por mucinas es necesaria para determinar la digestibilidad ileal de la FDT y fibra soluble, mientras que la elección de uno u otro método es menos relevante. La inclusión de pulpa de manzana y remolacha incrementa la cantidad de FDT que desaparece antes de llegar al ciego. En el tercer estudio se estudió el efecto de la fracción fibrosa soluble e insoluble de la pulpa de remolacha y el método de cuantificación de la fibra soluble e insoluble sobre la digestibilidad de la fibra y algunos parámetros digestivos. Para ello se formularon cuatro piensos con niveles similares de fibra insoluble (315g aFNDmo-pb/kg MS) y proteína (167 g/kg MS). El pienso control contuvo el nivel más bajo de fibra soluble (30,3 g/kg, con cascarilla de girasol y paja como fuente de fibra). Un segundo pienso se obtuvo mediante la sustitución de 60 g de almidón/kg del pienso control por pectinas de remolacha (82,9 g fibra soluble/kg MS). Los otras dos piensos resultaron de la sustitución parcial de las fuentes de fibra del pienso control por la fracción insoluble de la pulpa de remolacha y la pulpa de remolacha entera (42.2 y 82.3 g fibra soluble/kg MS, respectivamente). Cincuenta y seis conejos en cebo (14/pienso), de 2,4  0.21 kg de peso, fueron usados para determinar la digestibilidad ileal y fecal de la FDT, FDI, aFNDmo-pb, FDSFDI, y FDSaFNDmo-pb. La concentración de mucinas en el íleon y heces se utilizaron para corregir la digestibilidad de la FDT y fibra soluble. También se midió el peso de diferentes segmentos del tracto digestivo y el pH del contenido digestivo. Los conejos alimentados con el pienso de fibra insoluble de pulpa de remolacha mostraron los consumos más bajos con respecto a los demás grupos (124 vs. 139 g/d, respectivamente. P < 0,05). El flujo de mucinas ileales fue más alto (P < 0.05) en el grupo alimentado con el pienso de pectinas de remolacha (9,0 g/d en promedio) que los del grupo control (4,79 g/d), mostrando los otros dos grupos valores intermedios, sin detectarse diferencias a nivel fecal. La digestibilidad ileal de la FDT (corregida por mucinas) y la fibra insoluble no se vieron afectadas por el tipo de pienso. El método usado para determinar la fibra insoluble afectó su digestibilidad ileal (0,123 para FDI vs. 0,108 para aFNDmo-pb. P < 0.01). De todas formas, los métodos no afectaron al cálculo de la fibra fermentada antes del ciego (4,9 g/d en promedio). Los conejos alimentados con el pienso de pulpa de remolacha y con el pienso con la fracción insoluble de la pulpa de remolacha mostraron las digestibilidades fecales más altas de la fibra insoluble (0,266 en promedio vs. 0,106 del grupo control), mientras que en los animales del pienso con pectinas esta digestibilidad fue un 47% mayor respecto al pienso control (P < 0,001). La digestibilidad fecal de la fibra insoluble fue un 20% más alta cuando se usó la FND en lugar de FDI para determinarla (P < 0.001). Esto hizo variar la cantidad de fibra insoluble fermentada a lo largo del tracto digestivo (9,5 ó 7,5 g/d cuando fue calculada como FDI o aFNDmo-pb, respectivamente. P < 0,001). Las digestibilidades ileales de la fibra soluble fueron positivas cuando los análisis de fibra soluble de los contenidos ileales fueron corregidos por mucinas, (P < 0,001) excepto para la digestibilidad ileal de la FDSIDF del grupo control. Una vez corregidas por mucinas, los conejos alimentados con los piensos que contuvieron la fracción soluble de la pulpa de remolacha (pienso de pectina y pulpa de remolacha) mostraron una mayor digestibilidad ileal de la fibra soluble, respecto al grupo control (0,483 vs. -0,010. P = 0.002), mientras que el grupo del pienso de fibra insoluble de pulpa de remolacha mostró un valor intermedio (0,274). La digestibilidad total de la fibra soluble fue similar entre todos los grupos (0.93). Los conejos alimentados con pulpa de remolacha y su fracción insoluble mostraron los pesos relativos más altos del estómago respecto a los del pienso control y de pectinas (11 y 56 % respectivamente; P < 0,05). Por otra parte, el peso relativo del ciego aumentó en los animales que consumieron tanto la fracción soluble como insoluble de la pulpa de remolacha, siendo un 16% más pesados (P < 0,001) que el grupo control. El pH del contenido cecal fue más bajo en los animales del grupo de pulpa de remolacha que en los del grupo control (5,64 vs. 6,03; P < 0,001), mientras que los del grupo de pectinas y de fibra insoluble de pulpa de remolacha mostraron valores intermedios. En conclusión, el efecto positivo de la pulpa de remolacha en el flujo de mucinas a nivel ileal se debe a la fracción soluble e insoluble de la pulpa de remolacha. La mitad de la fibra soluble de la pulpa de remolacha desaparece antes de llegar al ciego, independientemente si esta proviene de pectinas puras o de la pulpa de remolacha. El pH cecal esta mejor correlacionado con la cantidad de FDT que desaparece antes del ciego más que con la que se degrada en el ciego. En el último estudio se estudiaron los efectos de la fibra soluble e insoluble de la pulpa de manzana sobre la digestibilidad de la fibra y algunos parámetros digestivos. Cuatro dietas fueron formuladas con niveles similares de fibra insoluble (aFNDmo-pb 32,4%) y proteína (18,6% ambos en base seca). El pienso control contuvo el nivel más bajo de fibra soluble (46 g de fibra soluble/kg, con cascarilla de girasol y paja de cereales como la fuentes de fibra). Un segundo pienso fue obtenido mediante la sustitución de 60 g de almidón/kg del pienso control por pectinas de manzana (105 g fibra soluble/kg). Los otros dos piensos se obtuvieron por la substitución de parte de las fuentes de fibra del pienso control por pulpa de manzana o pulpa de manzana despectinizada (93 y 71 g de fibra soluble/kg, respectivamente). La digestibilidad fecal fue determinada en 23 conejos/pienso con 1.68 ± 0.23 kg de peso vivo, los cuales fueron sacrificados a los 60 d edad para recolectar su contenido digestivo para determinar digestibilidad ileal y otros parámetros digestivos. La fibra soluble de manzana (pectinas y pulpa entera) estimuló el flujo ileal de mucinas (P = 0,002), pero no asi la pulpa despectinizada. La corrección por mucinas incrementó la digestibilidad de la FDT y la fibra soluble a nivel fecal, y especialmente a nivel ileal. Cerca de la mitad de la fibra soluble proveniente de los piensos con cualquiera de las fracciones de la pulpa de manzana fue degradada a nivel ileal, sin mostrar diferencias entre los grupos (46 y 86% en promedio a nivel ileal y fecal respectivamente). La inclusión de pulpa despectinizada de manzana mejoró la digestibilidad de la FND a nivel fecal (P < 0,05) pero no a nivel ileal. El contenido cecal de los conejos alimentados con la pulpa de manzana tuvieron el pH cecal más ácido que los del pienso control (5,55 vs. 5,95. P < 0,001), mientras que los animales con el pienso de pectinas de manzana y de pulpa de manzana despectinizada mostraron valores intermedios. En conclusión los efectos positivo de la pulpa de manzana en el flujo de mucinas se debió principalmente a la fracción soluble de la pulpa de manzana. La mitad de la fibra soluble fue degradada antes del ciego independientemente de si esta provino de las pectinas o de la pulpa de manzana. El pH cecal estuvo mejor correlacionado con la cantidad de FDT fermentada en todo el tracto digestivo y antes de llegar al ciego que con la que se degradó en el ciego. Al integrar los resultados de los estudio 2, 3 y 4 se concluyó que la corrección de mucinas de los contenidos digestivos al determinar FDT y fibra soluble es necesaria para ajustar los cálculos de su digestibilidad. Esta corrección es mucho más importante a nivel ileal y en dietas bajas en fibra soluble. Por otra parte, la FDT desapareció en proporciones importantes antes de llegar al ciego, especialmente en piensos que contienen pulpa de remolacha o de manzana o alguna fracción soluble o insoluble de las mismas y estas diferencias observadas entre los piensos a nivel ileal se correlacionaron mejor con el pH cecal, lo que indicaría que la FDT se solubilizó antes de llegar al ciego y una vez en esté fermentó. Estos resultados implican que determinar la fibra soluble como FDSaFNDmo-pb es la mejor opción y que en la determinación de la digestibilidad de la FDT y fibra soluble se debe considerar la corrección por mucinas especialmente a nivel ileal y en piensos bajos en fibra soluble. ABSTRACT The present thesis constitutes a step forward in advancing the knowledge of the methods to quantify soluble fibre and the effects of the fibre fractions and source of fibre on the site the digestion of different fractions of fibre (soluble and insoluble) in the rabbit. There is a positive effect of soluble fibre on rabbit digestive health and therefore on the reduction of mortality in weaning rabbits. Nevertheless, it is no so clear that the effects of soluble fibre on rabbits are due particularly to this fraction. This thesis aims: 1) to compare the quantification of soluble fibre in feeds using different chemical and in vitro approaches, and to study the potential interference between soluble fibre and mucin determinations, 2) to identify the effects of type of fibre, site of fermentation, method to quantify insoluble and soluble fibre, and correction of the intestinal soluble fibre content for intestinal mucin on the digestibility of fibre fractions and 3) to evaluate the individual effect of soluble and insoluble fibre from sugar beet pulp and apple pulp on ileal and faecal soluble and insoluble digestibility and digestive traits. These objectives were developed in four studies: The first study compared the quantification of soluble fibre in feeds using different chemical and in vitro approaches, and studied the potential interference between soluble fibre and mucin determinations. Six ingredients, sugar beet pulp (SBP), SBP pectins, insoluble SBP, wheat straw, sunflower hulls and lignocellulose, and seven rabbit diets, differing in soluble fibre content, were evaluated. In experiment 1, ingredients and diets were analysed for total dietary fibre (TDF), insoluble dietary fibre (IDF), soluble dietary fibre (SDF), aNDFom (corrected for protein, aNDFom-cp) and 2-step pepsin/pancreatin in vitro DM indigestibility (corrected for ash and protein, ivDMi2). Soluble fibre was estimated by difference using three procedures: TDF - IDF (SDFIDF), TDF - ivDMi2 (SDFivDMi2), and TDF - aNDFom-cp (SDFaNDFom-cp). Soluble fibre determined directly (SDF) or by difference, as SDFivDMi2 were not different (109 g/kg DM, on average). However, when it was calculated as SDFaNDFom-cp the value was 40% higher (153 g/kg DM, P < 0.05), whereas SDFIDF (124 g/kg DM) did not differ from any of the other methods. The correlation between the four methods was high (r ≥ 0.96. P ≤ 0.001. n = 13), but it decreased or even disappeared when SBP pectins and SBP were excluded and a lower and more narrow range of variation of soluble fibre was used. In experiment 2, the ivDMi2 using crucibles (reference method) were compared to those made using individual or collective ankom bags in order to simplify the determination of SDFivDMi2. The ivDMi2 was not different when using crucibles or individual or collective ankom bags. In experiment 3, the potential interference between soluble fibre and intestinal mucin determinations was studied using rabbit intestinal raw mucus, digesta and SBP pectins, lignocelluloses and a rabbit diet. An interference was observed between the determinations of soluble fibre and crude mucin, as the content of TDF and apparent crude mucin were high in SBP pectins (994 and 709 g/kg DM) and rabbit intestinal raw mucus (571 and 739 g/kg DM). After a pectinase treatment, the coefficient of apparent mucin recovery of SBP pectins was close to zero, whereas that of rabbit mucus was not modified. An estimation of the crude mucin carbohydrates retained in digesta TDF is proposed to correct TDF and soluble fibre digestibility. In conclusion, the values of soluble fibre depend on the methodology used. The contamination of crude mucin with soluble fibre is avoided using pectinase. The second study focused on the effect of type of fibre, site of fermentation, method for quantifying insoluble and soluble dietary fibre, and their correction for intestinal mucin on fibre digestibility. Three diets differing in soluble fibre were formulated (85 g/kg DM soluble fibre, in the low soluble fibre [LSF] diet; 102 g/kg DM in the medium soluble fibre [MSF] diet; and 145 g/kg DM in the high soluble fibre [HSF] diet). They were obtained by replacing half of the dehydrated alfalfa in the MSF diet with a mixture of beet and apple pulp (HSF diet) or with a mix of oat hulls and soybean protein (LSF diet). Thirty rabbits with ileal T-cannulas were used to determine total tract apparent digestibility (CTTAD) and ileal apparent digestibility (CIAD). Caecal digestibility was determined by difference between CTTAD and CIAD. Insoluble fibre was measured as aNDFom-cp, IDF, and ivDMi2, whereas soluble fibre was calculated as SDFaNDFom-cp, SDFIDF, SDFivDMi2. The intestinal mucin content was used to correct the TDF and soluble fibre digestibility. Ileal and faecal concentration of mucin increased from the LSF to the HSF diet group (P < 0.01). Once corrected for intestinal mucin, The CTTAD and CIAD of TDF and soluble fibre increased whereas caecal digestibility decreased (P < 0.01). The CIAD of TDF increased from the LSF to the HSF diet group (0.12 vs. 0.281. P < 0.01), with no difference in the caecal digestibility (0.264), resulting in a higher CTTAD from the LSF to the HSF diet group (P < 0.01). The CIAD of insoluble fibre increased from the LSF to the HSF diet group (0.113 vs. 0.21. P < 0.01), with no difference in the caecal digestibility (0.139) and no effect of fibre method, resulting in a higher CTTAD for rabbits fed the HSF diet compared with the MSF and LSF diets groups (P < 0.01). The CTTAD of aNDFom-cp was higher compared with IDF or ivDMi2 (P < 0.01). The CIAD of soluble fibre was higher for the HSF than for the LSF diet group (0.436 vs. 0.145. P < 0.01) and fibre method did not affect it. Caecal soluble fibre digestibility decreased from the LSF to the HSF diet group (0.721 vs. 0.492. P < 0.05). The lowest caecal and faecal soluble fibre digestibility was measured using SDFaNDFom-cp (P < 0.01). There was a high correlation among the digestibilities of soluble fibre measured as SDFaNDFom-cp, SDFIDF, and SDFivDMi2. Therefore, these methodologies provide similar information. However, the method that seems to be globally better related to the physiological traits (ileal flow of mucins, and relative weight of the caecum and caecal pH from previous work) was the SDFaNDFom-cp. In conclusion, a correction for intestinal mucin is necessary for ileal TDF and soluble fibre digestibility whereas the selection of the fibre method has a minor relevance. The inclusion of sugar beet and apple pulp increased the amount of TDF fermented in the small intestine. The third study examined the effect of fibre fractions of sugar beet pulp (SBP) and the method for quantifying soluble and insoluble fibre on soluble and insoluble fibre digestibility and digestive traits. Four diets were formulated with similar level of insoluble fibre (aNDFom-cp: 315 g/kg DM) and protein (167 g/kg DM). Control diet contained the lowest level of soluble fibre (30.3 g/kg DM, including sunflower hulls and straw as sole sources of fibre). A second diet was obtained by replacing 60 g starch/kg of control diet with SBP pectins (82.9 g soluble fibre/kg DM). Two more diets were obtained by replacing part of the fibrous sources of the control diet with either insoluble SBP fibre or SBP (42.2 and 82.3 g soluble fibre/kg DM, respectively). Fifty six (14/diet) rabbits weighing 2.40  0.213 kg were used to determine faecal and ileal digestibility of total dietary fibre (TDF), insoluble dietary fibre (IDF), neutral detergent fibre corrected for ash and CP (aNDFom-cp) and soluble fibre estimated as SDFaNDFom-cp and SDFIDF. Faecal and ileal mucin content was used to correct TDF and soluble fibre digestibility. It was also recorded weight of digestive segments and digesta pH. Rabbits fed insoluble SBP showed the lowest feed intake with respect to the other 3 diets (124 vs. 139 g/d, respectively. P < 0.05). Ileal mucin flow was higher (P < 0.05) in animals fed pectin and SBP diets (9.0 g/d, as average) than those fed control diet (4.79 g/d), showing InsSBP group an intermediate value. No differences on mucin content were detected at faecal level. There was no diet effect on the CIAD of TDF (corrected for mucin) and insoluble fibre. Fibre methodology influenced the CIAD of insoluble fibre (0.123 for IDF vs. 0.108 for aNDFom-cp. P < 0.01). Anyway, the amount of insoluble fibre fermented before the caecum did not differ between both methods (4.9 g/d, on average). Rabbits fed insoluble SBP and SBP diets showed the highest CTTAD of insoluble fibre (0.266 on average vs. 0.106 for control group), whereas those fed pectin diet had an intermediate value (0.106. P < 0.001). The CTTAD of insoluble fibre measured with IDF was higher than that measured with aNDFom-cp (by 20%. P < 0.001). It led that the amount of insoluble fibre fermented along the digestive tract were different (9.5 or 7.5 g/d when calculated as IDF or aNDFom-cp, respectively; P < 0.001). When the CIAD of soluble fibre was corrected for mucin they became positive (P < 0.001) except for control group measured as SDFIDF. Once corrected for mucin content, rabbits fed soluble fibre from SBP (pectin and SBP groups) showed higher CIAD of soluble fibre than control group (0.483 vs. -0.019. respectively), whereas the value for insoluble SBP group was intermediate 0.274. The CTTAD of soluble fibre (mucin corrected) was similar among diets 0.93. Rabbits fed with SBP and insoluble SBP diets showed higher total digestive tract and stomach relative weight than those fed pectin and control diets (by 11 and 56 %. respectively, P < 0.05). The caecal relative weight did not differ in rabbits fed pectin, insoluble SBP, and SBP diets (62 g/kg BW, as average) and they were on average 16% higher (P < 0.001) than in control group. Caecal content of rabbits fed SBP diet was more acid than those fed control diet (5.64 vs. 6.03. P < 0.001), whereas those from pectin and insoluble SBP diets showed intermediate values. In conclusion, the positive effect of SBP fibre on ileal mucin flow was due to both its soluble and insoluble fibre fraction. Half of the soluble SBP fibre was degraded before the caecum independently it came from pectin or SBP. The caecal pH correlated better with the ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. The last study examined the effect of soluble and insoluble fibre of apple pulp on fibre digestibility and digestive traits. Four diets were formulated with similar level of insoluble fibre (aNDFom-cp: 324 g/kg DM) and protein (18.6 g/kg DM). Control diet contained the lowest level of soluble fibre (46 g soluble fibre/kg DM, including oat hulls and straw as sole sources of fibre). A second diet was obtained by replacing 60 g starch/kg of control diet with apple pectins (105 g soluble fibre/kg DM). Two more diets were obtained by substituting part of the fibrous sources of the control diet by either apple pulp or depectinized apple pulp (93 and 71 g soluble fibre/kg, respectively). The CTTAD was determined in 23 rabbits/diet weighing 1.68  0.23 kg BW, and 23 rabbits/diet were slaughtered at 60 d of age to collect ileal digesta to determine CIAD and record other digestive traits. Soluble fibre from apple stimulated ileal flow of mucin (P = 0.002), but depectinized apple pulp did not. The correction for mucin increased the digestibility of crude protein, total dietary fibre, and soluble fibre at faecal, but especially at ileal level, depending in this case on the diet. Around half of the soluble fibre in diets containing any fibre fraction from apple was degraded at ileal level, with no differences among these diets (0.46 vs. 0.066 for control group, P=0.046). Faecal soluble fibre digestibility was 0.86 on average for all groups). Inclusion of the apple insoluble fibre improved NDF digestibility at faecal (0.222 vs. 0.069. P < 0.05) but not at ileal level. Caecal content of rabbits fed apple pulp diet was more acid than those fed control diet (5.55 vs. 5.95. P < 0.001), whereas those from pectin and depectinised apple pulp diets showed intermediate values. In conclusion, the positive effect of apple fibre on ileal mucin flow was mainly due to its soluble fibre fraction. Half of the soluble apple fibre was degraded before the caecum independently it came from pectin or apple pulp. The caecal pH correlated better with the total and ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. The results obtained in the studies 2, 3 and 4 were considered together. These results showed that the mucin correction is necessary when the TDF and soluble fibre digestibility is determined, and it correction is more important at ileal level and in diets with low level of soluble fibre. On another hand, incrementing the soluble fibre using sugar beet and apple pulp increased the amount of TDF disappear before the caecum. Moreover, the caecal pH correlated better with the ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. This suggests that an ileal fibre solubilisation may occur rather than ileal fermentation. Therefore the implications of this work were that: the estimation of soluble fibre as SDFaNDFom-cp is an adequate method considering its correlation with the physiological effects; and the TDF and soluble fibre digestibility must be corrected with intestinal mucins, especially when the ileal digestibility is determined.