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<title>Publicacions de Projectes de recerca del Plan Nacional</title>
<link>http://hdl.handle.net/10854/4377</link>
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<dc:date>2026-04-17T10:27:10Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10854/5373">
<title>Pig slurry fertilization in a double-annual cropping forage system under sub-humid mediterranean conditions</title>
<link>http://hdl.handle.net/10854/5373</link>
<description>Pig slurry fertilization in a double-annual cropping forage system under sub-humid mediterranean conditions
Ovejero García, Jonatan; Ortiz, C.; Boixadera, J.; Serra Jubany, Xavier; Ponsá Salas, Sergio; Lloveras, J.; Casas i Arcarons, M. Carme (Maria Carme)
In areas of Southern Europe with very intensive pig production, most of the pig slurry (PS) is applied asfertilizer. However, in the European Union, no more than 170 kg N ha−1year−1can be applied in nitratevulnerable zones (NVZs) from livestock manures. In this context, a six-year trial was conducted for amaize-triticale double-annual forage cropping rotation under rainfed conditions. Four different N rateswere applied (0, 170, 250 and 330 kg N ha−1year−1), to evaluate their effect on crop yield, N uptake, unre-covered N and soil nitrate content. The corresponding PS rates were defined as zero (PS 0), low (PSL)medium (PSM) and high (PSH). The annual average dry matter (DM) yields (maize + triticale) for the PSfertilization treatments PS0, PSL, PSM and PSH were 12.6, 17.7, 20.2 and 22.0 Mg DM ha−1, respectively.Maize DM yield was influenced mainly by weather conditions, and triticale DM yield was clearly influ-enced by initial soil NO3−-N and PS fertilization rates. Unrecovered N was affected by PS fertilizationrate and initial soil NO3−-N content. A residual effect of the PS when applied to maize had an importanteffect on soil NO3−-N and subsequent triticale DM yield. Moreover, total annual average unrecoveredN, considering the sum of both crops (maize + triticale), were 91, 144, and 222 kg N ha−1in PSL, PSMand PSH, respectively. In order to avoid part of this unrecovered N, mainly by lixiviation of nitrates, PSfertilization in triticale should be applied as side dressing at tillering. The application of N, in the formof PS, at rates higher than the legally permitted maximum of 170 kg N ha−1year−1, may result in betteryields. However, high rates of PS fertilization may originate in significantly lower N use efficiency anda higher potential environmental impact in double-cropping systems, practiced in rainfed sub-humidMediterranean conditions.
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<dc:date>2016-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10854/4174">
<title>The Spanish Civil War as seen through children’s drawings of the time</title>
<link>http://hdl.handle.net/10854/4174</link>
<description>The Spanish Civil War as seen through children’s drawings of the time
Padrós Tuneu, Núria; Carrillo, Isabel; Casanovas i Prat, Josep; Prat Viñolas, Pilar; Tort, Antoni; Gómez Mundó, Anna
This article presents the most significant results to have emerged from the&#13;
research process “Documentation, interpretation and digital diffusion of the&#13;
educational patrimony produced in the period 1936–1939 in the schools of&#13;
Barcelona: children’s drawings”. This research set out to analyse the drawings&#13;
produced by the children of the Grup Escolar Lluís Vives that reflect their&#13;
everyday lives both inside and outside school during the period of the Spanish&#13;
Civil War (1936–1939). The article begins by describing the methodology&#13;
employed in our multidisciplinary study and follows by presenting the various&#13;
dimensions of the lived experiences of children in wartime, understanding that&#13;
these dimensions both reflect and draw on the political, educational and social&#13;
context of that time. Taken together, the multiple voices of the children allow us&#13;
to develop an interdisciplinary vision of the everyday life and school&#13;
experiences of the children of Barcelona during the Spanish Civil War.
</description>
<dc:date>2015-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10854/3262">
<title>Global adaptive rank truncated product method for gene-set analysis in association studies</title>
<link>http://hdl.handle.net/10854/3262</link>
<description>Global adaptive rank truncated product method for gene-set analysis in association studies
Vilor Tejedor, Natàlia; Calle, M. Luz
Gene set analysis (GSA) aims to assess the overall association of a set of genetic variants with a&#13;
phenotype and has the potential to detect subtle effects of variants in a gene or a pathway that might be&#13;
missed when assessed individually. We present a new implementation of the Adaptive Rank Truncated&#13;
Product method (ARTP) for analyzing the association of a set of Single Nucleotide Polymorphisms&#13;
(SNPs) in a gene or pathway. The new implementation, referred to as globalARTP, improves the&#13;
original one by allowing the different SNPs in the set to have different modes of inheritance. We&#13;
perform a simulation study for exploring the power of the proposed methodology in a set of scenarios&#13;
with different numbers of causal SNPs with different effect sizes. Moreover, we show the advantage&#13;
of using the gene set approach in the context of an Alzheimer’s disease case-control study where we&#13;
explore the endocytosis pathway. The new method is implemented in the R function globalARTP of&#13;
the globalGSA package available at http://cran.r-project.org.
</description>
<dc:date>2014-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10854/3060">
<title>Model-Based Multifactor Dimensionality Reduction for detecting epistasis in case–control data in the presence of noise</title>
<link>http://hdl.handle.net/10854/3060</link>
<description>Model-Based Multifactor Dimensionality Reduction for detecting epistasis in case–control data in the presence of noise
Cattaert, Tom; Calle, M. Luz; Dudek, Scott M.; Mahachie John, Jestinah M.; Van Lishout, François; Urrea Gales, Víctor; Ritchie, Marylyn D.; Van Steen, Kristel
Analyzing the combined effects of genes and/or environmental factors on the development of complex diseases is a&#13;
great challenge from both the statistical and computational perspective, even using a relatively small number of genetic&#13;
and nongenetic exposures. Several data-mining methods have been proposed for interaction analysis, among them, the&#13;
Multifactor Dimensionality Reduction Method (MDR) has proven its utility in a variety of theoretical and practical&#13;
settings. Model-Based Multifactor Dimensionality Reduction (MB-MDR), a relatively new MDR-based technique that&#13;
is able to unify the best of both nonparametric and parametric worlds, was developed to address some of the remaining&#13;
concerns that go along with an MDR analysis. These include the restriction to univariate, dichotomous traits, the absence&#13;
of flexible ways to adjust for lower order effects and important confounders, and the difficulty in highlighting epistatic&#13;
effects when too many multilocus genotype cells are pooled into two new genotype groups. We investigate the empirical&#13;
power of MB-MDR to detect gene–gene interactions in the absence of any noise and in the presence of genotyping&#13;
error, missing data, phenocopy, and genetic heterogeneity. Power is generally higher for MB-MDR than for MDR, in&#13;
particular in the presence of genetic heterogeneity, phenocopy, or low minor allele frequencies.
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
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