SPATIAL DEPENDENCE OF ELECTRICAL CONDUCTIVITY AND CHEMICAL PROPERTIES OF THE SOIL BY ELECTROMAGNETIC INDUCTION

Brazilian soils have natural high chemical variability; thus, apparent electrical conductivity (ECa) can assist interpretation of crop yield variations. We aimed to select soil chemical properties with the best linear and spatial correlations to explain ECa variation in the soil using a Profiler sensor (EMP-400). The study was carried out in Sidrolândia, MS, Brazil. We analyzed the following variables: electrical conductivity - EC (2, 7, and 15 kHz), organic matter, available K, base saturation, and cation exchange capacity (CEC). Soil ECa was measured with the aid of an all-terrain vehicle, which crossed the entire area in strips spaced at 0.45 m. Soil samples were collected at the 0-20 cm depth with a total of 36 samples within about 70 ha. Classical descriptive analysis was applied to each property via SAS software, and GS+ for spatial dependence analysis. The equipment was able to simultaneously detect ECa at the different frequencies. It was also possible to establish site-specific management zones through analysis of correlation with chemical properties. We observed that CEC was the property that had the best correlation with ECa at 15 kHz.

Geosynthetic Reinforced Soil for Low-Volume Bridge Abutments, January 2012

This report presents a review of literature on geosynthetic reinforced soil (GRS) bridge abutments, and test results and analysis from two field demonstration projects (Bridge 1 and Bridge 2) conducted in Buchanan County, Iowa, to evaluate the feasibility and cost effectiveness of the use of GRS bridge abutments on low-volume roads (LVRs). The two projects included GRS abutment substructures and railroad flat car (RRFC) bridge superstructures. The construction costs varied from $43k to $49k, which was about 50 to 60% lower than the expected costs for building a conventional bridge. Settlement monitoring at both bridges indicated maximum settlements ≤1 in. and differential settlements ≤ 0.2 in transversely at each abutment, during the monitoring phase. Laboratory testing on GRS fill material, field testing, and in ground instrumentation, abutment settlement monitoring, and bridge live load (LL) testing were conducted on Bridge 2. Laboratory test results indicated that shear strength parameters and permanent deformation behavior of granular fill material improved when reinforced with geosynthetic, due to lateral restraint effect at the soilgeosynthetic interface. Bridge LL testing under static loads indicated maximum deflections close to 0.9 in and non-uniform deflections transversely across the bridge due to poor load transfer between RRFCs. The ratio of horizontal to vertical stresses in the GRS fill was low (< 0.25), indicating low lateral stress on the soil surrounding GRS fill material. Bearing capacity analysis at Bridge 2 indicated lower than recommended factor of safety (FS) values due to low ultimate reinforcement strength of the geosynthetic material used in this study and a relatively weak underlying foundation layer. Global stability analysis of the GRS abutment structure revealed a lower FS than recommended against sliding failure along the interface of the GRS fill material and the underlying weak foundation layer. Design and construction recommendations to help improve the stability and performance of the GRS abutment structures on future projects, and recommendations for future research are provided in this report.

Sampling Position under No-Tillage System Affects the Results of Soil Physical Properties

ABSTRACT Understanding the spatial behavior of soil physical properties under no-tillage system (NT) is required for the adoption and maintenance of a sustainable soil management system. The aims of this study were to quantify soil bulk density (BD), porosity in the soil macropore domain (PORp) and in the soil matrix domain (PORm), air capacity in the soil matrix (ACm), field capacity (FC), and soil water storage capacity (FC/TP) in the row (R), interrow (IR), and intermediate position between R and IR (designated IP) in the 0.0-0.10 and 0.10-0.20 m soil layers under NT; and to verify if these soil properties have systematic variation in sampling positions related to rows and interrows of corn. Soil sampling was carried out in transect perpendicular to the corn rows in which 40 sampling points were selected at each position (R, IR, IP) and in each soil layer, obtaining undisturbed samples to determine the aforementioned soil physical properties. The influence of sampling position on systematic variation of soil physical properties was evaluated by spectral analysis. In the 0.0-0.1 m layer, tilling the crop rows at the time of planting led to differences in BD, PORp, ACm, FC and FC/TP only in the R position. In the R position, the FC/TP ratio was considered close to ideal (0.66), indicating good water and air availability at this sampling position. The R position also showed BD values lower than the critical bulk density that restricts root growth, suggesting good soil physical conditions for seed germination and plant establishment. Spectral analysis indicated that there was systematic variation in soil physical properties evaluated in the 0.0-0.1 m layer, except for PORm. These results indicated that the soil physical properties evaluated in the 0.0-0.1 m layer were associated with soil position in the rows and interrows of corn. Thus, proper assessment of soil physical properties under NT must take into consideration the sampling positions and previous location of crop rows and interrows.

Do Rates and Splitting of Phosphogypsum Applications Influence the Soil and Annual Crops in a No-Tillage System?

ABSTRACT Applications of phosphogypsum (PG) provide nutrients to the soil and reduce Al3+ activity, favoring soil fertility and root growth, but allow Mg2+ mobilization through the soil profile, resulting in variations in the PG rate required to achieve the optimum crop yield. This study evaluated the effect of application rates and splitting of PG on soil fertility of a Typic Hapludox, as well as the influence on annual crops under no-tillage. Using a (4 × 3) + 1 factorial structure, the treatments consisted of four PG rates (3, 6, 9, and 12 Mg ha-1) and three split applications (P1 = 100 % in 2009; P2 = 50+50 % in 2009 and 2010; P3 = 33+33+33 % in 2009, 2010 and 2011), plus a control without PG. The soil was sampled six months after the last PG application, in stratified layers to a depth of 0.8 m. Corn, wheat and soybean were sown between November 2011 and December 2012, and leaf samples were collected for analysis when at least 50 % of the plants showed reproductive structures. The application of PG increased Ca2+ concentrations in all sampled soil layers and the soil pH between 0.2 and 0.8 m, and reduced the concentrations of Al3+ in all layers and of Mg2+ to a depth of 0.6 m, without any effect of splitting the applications. The soil Ca/Mg ratio increased linearly to a depth of 0.6 m with the rates and were found to be higher in the 0.0-0.1 m layer of the P2 and P3 treatments than without splitting (P1). Sulfur concentrations increased linearly by application rates to a depth of 0.8 m, decreasing in the order P3>P2>P1 to a depth of 0.4 m and were higher in the treatments P3 and P2 than P1 between 0.4-0.6 m, whereas no differences were observed in the 0.6-0.8 m layer. No effect was recorded for K, P and potential acidity (H+Al). The leaf Ca and S concentration increased, while Mg decreased for all crops treated with PG, and there was no effect of splitting the application. The yield response of corn to PG rates was quadratic, with the maximum technical efficiency achieved at 6.38 Mg ha-1 of PG, while wheat yield increased linearly in a growing season with a drought period. Soybean yield was not affected by the PG rate, and splitting had no effect on the yield of any of the crops. Phosphogypsum improved soil fertility in the profile, however, Mg2+ migrated downwards, regardless of application splitting. Splitting the PG application induced a higher Ca/Mg ratio in the 0.0-0.1 m layer and less S leaching, but did not affect the crop yield. The application rates had no effect on soybean yield, but were beneficial for corn and, especially, for wheat, which was affected by a drought period during growth.

Development of LRFD Procedures for Bridge Pile Foundations in Iowa: Volume II: Field Testing of Steel Piles in Clay, Sand, and Mixed Soils and Data Analysis, September 2011

In response to the mandate on Load and Resistance Factor Design (LRFD) implementations by the Federal Highway Administration (FHWA) on all new bridge projects initiated after October 1, 2007, the Iowa Highway Research Board (IHRB) sponsored these research projects to develop regional LRFD recommendations. The LRFD development was performed using the Iowa Department of Transportation (DOT) Pile Load Test database (PILOT). To increase the data points for LRFD development, develop LRFD recommendations for dynamic methods, and validate the results ofLRFD calibration, 10 full-scale field tests on the most commonly used steel H-piles (e.g., HP 10 x 42) were conducted throughout Iowa. Detailed in situ soil investigations were carried out, push-in pressure cells were installed, and laboratory soil tests were performed. Pile responses during driving, at the end of driving (EOD), and at re-strikes were monitored using the Pile Driving Analyzer (PDA), following with the CAse Pile Wave Analysis Program (CAPWAP) analysis. The hammer blow counts were recorded for Wave Equation Analysis Program (WEAP) and dynamic formulas. Static load tests (SLTs) were performed and the pile capacities were determined based on the Davisson’s criteria. The extensive experimental research studies generated important data for analytical and computational investigations. The SLT measured loaddisplacements were compared with the simulated results obtained using a model of the TZPILE program and using the modified borehole shear test method. Two analytical pile setup quantification methods, in terms of soil properties, were developed and validated. A new calibration procedure was developed to incorporate pile setup into LRFD.

Heated Optical Fiber for Distributed Soil-Moisture Measurements: A Lysimeter Experiment

An Actively Heated Fiber Optics (AHFO) method to estimate soil moisture is tested and the analysis technique improved on. The measurements were performed in a lysimeter uniformly packed with loam soil with variable water content profiles. In the first meter of the soil profi le, 30 m of fiber optic cable were installed in a 12 loops coil. The metal sheath armoring the fiber cable was used as an electrical resistance heater to generate a heat pulse, and the soil response was monitored with a Distributed Temperature Sensing (DTS) system. We study the cooling following three continuous heat pulses of 120 s at 36 W m(-1) by means of long-time approximation of radial heat conduction. The soil volumetric water contents were then inferred from the estimated thermal conductivities through a specifically calibrated model relating thermal conductivity and volumetric water content. To use the pre-asymptotic data we employed a time correction that allowed the volumetric water content to be estimated with a precision of 0.01-0.035 (m(3) m(-3)). A comparison of the AHFO measurements with soil-moisture measurements obtained with calibrated capacitance-based probes gave good agreement for wetter soils [discrepancy between the two methods was less than 0.04 (m(3) m(-3))]. In the shallow drier soils, the AHFO method underestimated the volumetric water content due to the longertime required for the temperature increment to become asymptotic in less thermally conductive media [discrepancy between the two methods was larger than 0.1 (m(3) m(-3))]. The present work suggests that future applications of the AHFO method should include longer heat pulses, that longer heating and cooling events are analyzed, and, temperature increments ideally be measured with higher frequency.

Advanced geostatistical and machine-learning models for spatial data analysis of radioactively contaminated regions

Radioactive soil-contamination mapping and risk assessment is a vital issue for decision makers. Traditional approaches for mapping the spatial concentration of radionuclides employ various regression-based models, which usually provide a single-value prediction realization accompanied (in some cases) by estimation error. Such approaches do not provide the capability for rigorous uncertainty quantification or probabilistic mapping. Machine learning is a recent and fast-developing approach based on learning patterns and information from data. Artificial neural networks for prediction mapping have been especially powerful in combination with spatial statistics. A data-driven approach provides the opportunity to integrate additional relevant information about spatial phenomena into a prediction model for more accurate spatial estimates and associated uncertainty. Machine-learning algorithms can also be used for a wider spectrum of problems than before: classification, probability density estimation, and so forth. Stochastic simulations are used to model spatial variability and uncertainty. Unlike regression models, they provide multiple realizations of a particular spatial pattern that allow uncertainty and risk quantification. This paper reviews the most recent methods of spatial data analysis, prediction, and risk mapping, based on machine learning and stochastic simulations in comparison with more traditional regression models. The radioactive fallout from the Chernobyl Nuclear Power Plant accident is used to illustrate the application of the models for prediction and classification problems. This fallout is a unique case study that provides the challenging task of analyzing huge amounts of data ('hard' direct measurements, as well as supplementary information and expert estimates) and solving particular decision-oriented problems.

Soil tillage affects the community structure of mycorrhizal fungi in maize roots

In this study we tested whether communities of arbuscular mycorrhizal fungi (AMF) colonizing the roots of maize (Zea mays L.) were affected by soil tillage practices (plowing, chiseling, and no-till) in a long-term field experiment carried out in Tanikon (Switzerland). AMF were identified in the roots using specific polymerase chain reaction (PCR) markers that had been developed for the AMF previously isolated from the soils of the studied site. A nested PCR procedure with primers of increased specificity (eukaryotic, then, fungal, then AMF species or. species-grouop specific) was used. Sequencing of amplified DNA confirmed that the DNA obtained from the maize roots was of AMF origin. Presence of particular AMF species or species-group was scored as a presence of a DNA product after PCR with specific primers. We also used single-strand conformation polymorphism analysis (SSCP), of amplified DNA samples to-check if the amplification of the DNA from maize roots matched the expected profile for a particular AMF isolate with a given specific primer pair. Presence of the genus Scutellospora, in maize roots was strongly reduced in plowed and chiseled soils. Fungi from the suborder Glomineae were more prevalent colonizers of maize roots growing in plowed soils, but were also present in the roots from other tillage treatments. These changes in community of AMF colonizing maize roots might be due to (1), the differences in tolerance to the tillage-induced disruption of the hyphae among the different AMF species, (2) changes in nutrient content of the soil, (3) changes in microbial activity, or (4) changes in weed populations in response to soil tillage. This is the first report on community composition of AMF in the roots of a field-grown crop plant (maize) as affected by soil tillage.

Correlation between species composition and soil properties in the pastures of Plana de Vic (Catalonia, Spain)

The correlation between the species composition of pasture communities and soil properties in Plana de Vic has been studied using two multivariate methods, Correspondence Analysis (CA) for the vegetation data and Principal Component Analysis (PCA) for the soil data. To analyse the pastures, we took 144 vegetation relevés (comprising 201 species) that have been classified into 10 phytocoenological communities elsewhere. Most of these communities are almost entirely built up by perennials, ranging from xerophilous, clearly Mediterranean, to mesophilous, related to medium-European pastures, but a few occurring in shallow soils are dominated by therophytes. As for the soil properties, we analysed texture, pH, depth, bulk density, organic matter, C/N ratio and the carbonates content of 25 samples, correspondingto representative relevés of the communities studied.

Predictive analysis and mapping of indoor radon concentrations in Switzerland

It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

Critical values of nitrogen indices in tomato plants grown in soil and nutrient solution determined by different statistical procedures

The objective of this study was to establish critical values of the N indices, namely soil-plant analysis development (SPAD), petiole sap N-NO3 and organic N in the tomato leaf adjacent to the first cluster (LAC), under soil and nutrient solution conditions, determined by different statistical approaches. Two experiments were conducted in randomized complete block design with four repli-cations. Tomato plants were grown in soil, in 3 L pot, with five N rates (0, 100, 200, 400 and 800 mg kg-1) and in solution at N rates of 0, 4, 8, 12 and 16 mmol L-1. Experiments in nutrient solution and soil were finished at thirty seven and forty two days after transplanting, respectively. At those times, SPAD index and petiole sap N-NO3 were evaluated in the LAC. Then, plants were harvested, separated in leaves and stem, dried at 70ºC, ground and weighted. The organic N was determined in LAC dry matter. Three statistical procedures were used to calculate critical N values. There were accentuated discrepancies for critical values of N indices obtained with plants grown in soil and nutrient solution as well as for different statistical procedures. Critical values of nitrogen indices at all situations are presented.

Enhanced Botrytis cinerea resistance of Arabidopsis plants grown in compost may be explained by increased expression of defense-related genes, as revealed by microarray analysis

Composts are the products obtained after the aerobic degradation of different types of organic matter waste and can be used as substrates or substrate/soil amendments for plant cultivation. There is a small but increasing number of reports that suggest that foliar diseases may be reduced when using compost, rather than standard substrates, as growing medium. The purpose of this study was to examine the gene expression alteration produced by the compost to gain knowledge of the mechanisms involved in compost-induced systemic resistance. A compost from olive marc and olive tree leaves was able to induce resistance against Botrytis cinerea in Arabidopsis, unlike the standard substrate, perlite. Microarray analyses revealed that 178 genes were differently expressed, with a fold change cut-off of 1, of which 155 were up-regulated and 23 were down-regulated in compost-grown, as against perlite-grown plants. A functional enrichment study of up-regulated genes revealed that 38 Gene Ontology terms were significantly enriched. Response to stress, biotic stimulus, other organism, bacterium, fungus, chemical and abiotic stimulus, SA and ABA stimulus, oxidative stress, water, temperature and cold were significantly enriched, as were immune and defense responses, systemic acquired resistance, secondary metabolic process and oxireductase activity. Interestingly, PR1 expression, which was equally enhanced by growing the plants in compost and by B. cinerea inoculation, was further boosted in compost-grown pathogen-inoculated plants. Compost triggered a plant response that shares similarities with both systemic acquired resistance and ABA-dependent/independent abiotic stress responses.

Genome-wide analysis of Sphingomonas wittichii RW1 behaviour during inoculation and growth in contaminated sand.

The efficacy of inoculation of single pure bacterial cultures into complex microbiomes, for example, in order to achieve increased pollutant degradation rates in contaminated material (that is, bioaugmentation), has been frustrated by insufficient knowledge on the behaviour of the inoculated bacteria under the specific abiotic and biotic boundary conditions. Here we present a comprehensive analysis of genome-wide gene expression of the bacterium Sphingomonas wittichii RW1 in contaminated non-sterile sand, compared with regular suspended batch growth in liquid culture. RW1 is a well-known bacterium capable of mineralizing dibenzodioxins and dibenzofurans. We tested the reactions of the cells both during the immediate transition phase from liquid culture to sand with or without dibenzofuran, as well as during growth and stationary phase in sand. Cells during transition show stationary phase characteristics, evidence for stress and for nutrient scavenging, and adjust their primary metabolism if they were not precultured on the same contaminant as found in the soil. Cells growing and surviving in sand degrade dibenzofuran but display a very different transcriptome signature as in liquid or in liquid culture exposed to chemicals inducing drought stress, and we obtain evidence for numerous 'soil-specific' expressed genes. Studies focusing on inoculation efficacy should test behaviour under conditions as closely as possible mimicking the intended microbiome conditions.

MOLECULAR MECHANISMS OF A ROOT SYSTEM TO SOIL ADAPTATION

Contrairement aux animaux, les plantes sont des organismes sessiles qui ne possèdent pas de mécanismes de fuite quand les conditions environnementales ne sont plus optimales. Les plantes sont physiquement ancrées à l'endroit où elles ont germées et aux conditions environnementales qui parfois peuvent être extrêmes. Les possibilités d'acclimatation de différentes espèces, parfois même de groupes de plantes au sein d'une même espèce, peuvent varier mais repose sur une adaptation génétique de la plante. L'adaptation est un long processus qui repose sur l'apparition spontanée de mutations génétiques, leur mise à l'épreuve face aux conditions environnementales, et dans le cas où la mutation a un impact positif sur la survie dans cet habitat particulier, elle sera maintenue dans une population donnée de plantes. De telles populations, appelées écotypes, sont le matériel de départ pour la découverte de gènes qui induisent un bénéfice pour la plante dans un environnement donné. La plante la plus étudiée en biologie moléculaire est Arabidopsis thaliana, l'arabette des prés. Dans une étude précédente, les racines d'écotypes naturels d'Arabidopsis ont été comparées et un écotype, Uk-1, avait le système racinaire le plus particulier. Cet écotype possède des racines beaucoup plus courtes et plus ramifiées que tous les autres écotypes. Des analyses plus poussées ont montré qu'une seule mutation dans un gène était la cause de ce phénotype, le gène BREVIS RADIX (BRX), mot latin signifiant 'racine courte'. Bien que l'on connaisse le gène BRX, on connaît finalement peu de choses sur son importance adaptative. Dans cette étude, nous avons montré que la mutation dans le gène BRX rend la plante plus résistante aux sols acides. Dans l'optique de mieux comprendre cette valeur adaptative du mutant brx, nous avons analysé dans quels tissus le gène BRX jouait un rôle important. Nous avons pu mettre en évidence que BRX est important pour le développement du protophloème. Le protophloème est un élément du système vasculaire de la plante. En général, les plantes supérieures possèdent deux systèmes de transport à longue distance. L'un d'eux, appelé xylème, transporte l'eau et les nutriments absorbés du sol par les racines vers les feuilles. Les feuilles sont le siège du processus de photosynthèse au cours duquel sont produits des sucres qui devront être distribués partout dans les autres parties de la plante. Le tissu cellulaire chargé de livrer les produits de la photosynthèse, ainsi que les régulateurs de croissance, est le phloème. Ce dernier regroupe le métaphloème et le protophloème. Le protophloème est essentiel pour la livraison des sucres synthétisés ainsi que des signaux de croissance aux pointes des racines, centres organogéniques responsables de la production de nouvelles cellules durant la phase de croissance de la racine. La structure du protophloème peut être décrite comme des tubes continus, vides et résistants, faits de cellules spécialisées qui permettent un transport efficace et rapide. Nous avons montré que dans les mutants brx ces canaux de transports sont discontinus car certaines cellules n'ont pas terminé leur cycle de différenciation. Ces cellules obstruent le conduit ce qui fait que les sucres et les signaux de croissance, comme l'auxine, ne peuvent plus être transportés aux méristèmes. En conséquence, la prolifération de l'activité des méristèmes est compromise, ce qui explique les racines courtes. Au lieu d'être délivré aux méristèmes, l'auxine se concentre en amont des méristèmes où cela provoque l'apparition de nouvelles racines branchées et, très probablement, l'activation des pompes à protons. Sur des sols acides, la concentration en ion H+ est très élevée. Ces ions entrent dans les cellules de la racine par diffusion et perturbent notablement la croissance des racines et de la plante en général. Si les cellules de la racine possédaient des pompes à protons hyperactives, elles seraient capable d'évacuer le surplus d'ions H+ en dehors de la cellule, ce qui leur assurerait de meilleures chances de survie sur sols acides. De fait, le mutant brx est capable d'acidifier le milieu de culture dans lequel il est cultivé plus efficacement que la plante sauvage. Ce mutant est également capable de donner plus de progéniture sur ce type de milieu de croissance que les plantes sauvages. Finalement, nous avons trouvé d'autres mutants brx en milieu naturel poussant sur sols acides, ce qui suggère fortement que la mutation du gène BRX est une des causes de l'adaptation aux sols acides. -- Plants as sessile organisms have developed different mechanisms to cope with the complex environmental conditions in which they live. Adaptation is the process through which traits evolve by natural selection to functionally improve in a given environmental context. An adaptation to the environment is characterized by the genetic changes in the entire populations that have been fixed by natural selection over many generations. BREVIS RADIX (BRX) gene was found through natural Arabidopsis accessions screen and was characterized as a root growth regulator since loss-of-function mutants exhibit arrested post-embryonic primary root growth in addition to a more branched root system. Although brx loss-of-function causes a complete alteration in root architecture, BRX activity is only required in the root vasculature, in particular in protophloem cell file. Protophloem is a part of the phloem transport network and is responsible for delivery of photo-assimilates and growth regulators, coming from the shoot through mature phloem component - metaphloem, to the all plant primary meristems. In order to perform its function, protophloem is the first cell file to differentiate within the root meristem. During this process, protophloem cells undergo a partial programmed cell death, during which they build a thicker cell wall, degrade nucleus and tonoplast while plasma membrane stays functional. Interestingly, protophloem cells enter elongation process only after differentiation into sieve elements is completed. Here we show that brx mutants fail to differentiate protophloem cell file properly, a phenotype that can be distinguished by a presence of a "gap" cells, non-differentiated cells between two flanking differentiated cells. Discontinuity of protophloem differentiation in brx mutants is considered to be a consequence of local hyperactivity of CLAVATA3/EMBRYO SURROUNDING REGION 45 (CLE45) - BARELY ANY MERISTEM 3 (BAM3) signaling module. Interestingly, a CLE45 activity, most probably at the level of receptor binding, can be modulated by apoplastic pH. Altogether, our results imply that the activity of proton pumps, expressed in non-differentiated cells of protophloem, must be maintained under certain threshold, otherwise CLE45-BAM3 signaling pathway will be stimulated and in turn protophloem will not differentiate. Based on vacuolar morphology, a premature cell wall acidification in brx mutants stochastically prevents the protophloem differentiation. Only after protophloem differentiates, proton pumps can be activated in order to acidify apoplast and to support enucleated protophloem multifold elongation driven by surrounding cells growth. Finally, the protophloem differentiation failure would result in an auxin "traffic jam" in the upper parts of the root, created from the phloem-transported auxin that cannot be efficiently delivered to the meristem. Physiologically, auxin "leakage" from the plant vasculature network could have various consequences, since auxin is involved in the regulation of almost every aspect of plant growth and development. Thus, given that auxin stimulates lateral roots initiation and growth, this scenario explains more branched brx root system. Nevertheless, auxin is considered to activate plasma membrane proton pumps. Along with this, it has been shown that brx mutants acidify media much more than the wild type plants do, a trait that was proposed as an adaptive feature of naturally occurring brx null alleles in Arabidopsis populations found on acidic soils. Additionally, in our study we found that most of accessions originally collected from acidic sampling sites exhibit hypersensitivity to CLE45 treatment. This implies that adaptation of plants to acidic soil involves a positive selection pressure against upstream negative regulators of CLE45-BAM3 signaling, such as BRX. Perspective analysis of these accessions would provide more profound understanding of molecular mechanisms underlying plant adaptation to acidic soils. All these results are suggesting that targeting of the factors that affect protophloem differentiation is a good strategy of natural selection to change the root architecture and to develop an adaptation to a certain environment. -- Les plantes comme organismes sessiles ont développé différents mécanismes pour s'adapter aux conditions environnementales complexes dans lesquelles elles vivent. L'adaptation est le processus par lequel des traits vont évoluer via la sélection naturelle vers une amélioration fonctionnelle dans un contexte environnemental donné. Une adaptation à l'environnement est caractérisée par des changements génétiques dans des populations entières qui ont été fixés par la sélection naturelle sur plusieurs générations. Le gène BREVIS RADIX (BRX) a été identifié dans le crible d'une collection d'accessions naturelles d'Arabidopsis et a été caractérisé comme un régulateur de la croissance racinaire étant donné que le mutant perte-de-fonction montre une croissance racinaire primaire arrêtée au stade post-embryonnaire et présente de plus un système racinaire plus ramifié que la plante sauvage. Bien que le mutant perte-de-fonction brx cause une altération complète de l'architecture racinaire, l'activité de BRX n'est requise que dans la vascularisation racinaire, en particulier au niveau du protophloème. Le protophloème est un composant du réseau de transport du phloème et est responsable du transit des dérivés de la photosynthèse ainsi que des régulateurs de croissances, venant de la partie aérienne par le phloème mature (métaphloème) vers tous les méristèmes primaires de la plante. Pour pouvoir réaliser sa fonction, le protophloème est la première file de cellules à se différencier à l'intérieur du méristème de la racine. Pendant ce processus, les cellules du protophloème subissent une mort cellulaire programmée partielle durant laquelle elles épaississent leur paroi cellulaire, dégradent le noyau et le tonoplaste tandis que la membrane plasmique demeure fonctionnelle. De manière intéressante, les cellules du protophloème entament le processus d'allongement seulement après que la différenciation en tubes criblés soit complète. Ce travail montre que le mutant brx est incapable de mener à bien la différenciation de la file de cellules du protophloème, phénotype qui peut être visualisé par la présence de cellules 'trous', de cellules non différenciées entourées de deux cellules différenciées. La discontinuité de la différenciation du phloème dans le mutant brx est considérée comme la conséquence de l'hyperactivité localisée du module de signalisation CLA VA TA3/EMBRYO SURROUNDING REGION 45 (CLE45) - BARELY ANY MERISTEM 3 (BAM3). De manière intéressante, l'activité de CLE45, très probablement au niveau de la liaison avec le récepteur, peut être modulé par le pH apoplastique. Pris ensemble, nos résultats impliquent que l'activité des pompes à protons, actives dans les cellules non différenciées du protophloème, doit être maintenue en dessous d'un certain seuil autrement la cascade de signalisation CLE45-BAM3 serait stimulée, en conséquence de quoi le protophloème ne pourrait se différencier. D'après la morphologie vacuolaire, une acidification prématurée de la paroi cellulaire dans le mutant brx empêche la différenciation du protophloème de manière stochastique. Une fois que le protophloème se différencie, les pompes à protons peuvent alors être activées afin d'acidifier l'apoplaste et ainsi faciliter l'allongement des cellules énuclées du protophloème, entraînées par la croissance des cellules environnantes. Finalement, la différenciation défectueuse du protophloème produit une accumulation d'auxine dans la partie supérieure de la racine car le phloème ne peut plus acheminer efficacement l'auxine au méristème. Physiologiquement, la 'fuite' d'auxine à partir du réseau vasculaire de la plante peut avoir des conséquences variées puisque l'auxine est impliquée dans la régulation de la majorité des aspects de la croissance et développement de la plante. Etant donné que l'auxine stimule l'initiation et développement des racines latérales, ce scénario pourrait expliquer le système racinaire plus ramifié du mutant brx. En plus, l'auxine est considérée comme un activateur des pompes à protons. Par ailleurs, nous avons montré que les mutants brx ont la capacité d'acidifier le milieu plus efficacement que les plantes sauvages, une caractéristique des populations sauvages <¥Arabidopsis poussant sur des sols acides et contenant les allèles délétés brx. De plus, dans nos résultats nous avons mis en évidence que la plupart des accessions collectées originellement sur des sites acidophiles montre une hypersensibilité au traitement par CLE45. Ceci implique que l'adaptation des plantes aux sols acides repose sur la pression de sélection positive à rencontre des régulateurs négatifs de CLE45- BAM3, situés en amont de la cascade, tel le produit du gène BRX. Les analyses de ces accessions pourraient aboutir à une meilleure compréhension des mécanismes moléculaires responsables de l'adaptation des plantes aux sols acides. Tous nos résultats suggèrent que le ciblage des facteurs affectant la différenciation du protophloème serait une stratégie gagnante dans la sélection naturelle pour changer l'architecture de la racine et ainsi s'adapter efficacement à un nouvel environnement.

Fly Ash Soil Stabilization for Non-Uniform Subgrade Soils, Volume II: Influence of Subgrade Non-Uniformity on PCC Pavement Performance, TR-461, 2005

To provide insight into subgrade non-uniformity and its effects on pavement performance, this study investigated the influence of non-uniform subgrade support on pavement responses (stress and deflection) that affect pavement performance. Several reconstructed PCC pavement projects in Iowa were studied to document and evaluate the influence of subgrade/subbase non-uniformity on pavement performance. In situ field tests were performed at 12 sites to determine the subgrade/subbase engineering properties and develop a database of engineering parameter values for statistical and numerical analysis. Results of stiffness, moisture and density, strength, and soil classification were used to determine the spatial variability of a given property. Natural subgrade soils, fly ash-stabilized subgrade, reclaimed hydrated fly ash subbase, and granular subbase were studied. The influence of the spatial variability of subgrade/subbase on pavement performance was then evaluated by modeling the elastic properties of the pavement and subgrade using the ISLAB2000 finite element analysis program. A major conclusion from this study is that non-uniform subgrade/subbase stiffness increases localized deflections and causes principal stress concentrations in the pavement, which can lead to fatigue cracking and other types of pavement distresses. Field data show that hydrated fly ash, self-cementing fly ash-stabilized subgrade, and granular subbases exhibit lower variability than natural subgrade soils. Pavement life should be increased through the use of more uniform subgrade support. Subgrade/subbase construction in the future should consider uniformity as a key to long-term pavement performance.