The New Cispadana Motorway. Impact on Industrial Buildings Property Values

Infrastructures, through externalities, modify the territorial status quo: by creating advantages and disadvantages, they lead to inequalities and territorial cohesion problems, calling for a setup of territorial equalization mechanisms. In this paper, the estimation of the costs and benefits generated from the building of the new Cispadana regional motorway (Emilia-Romagna Region, Italy) is described. The study focuses on the price variations of the industrial buildings property values in the real estate market after the new motorway will be built, aiming at developing a forecasting method, which could be repeatable and applicable to other kinds of externalities. Thanks to the hedonic pricing method, which is recurring in transport literature, using a multiple linear regression model based on ordinary least squares method (OLS), the contribution of the accessibility on the industrial buildings' pricing has been isolated; it was then possible to forecast the rise in the industrial buildings prices that will be due to the accessibility variation produced by the new infrastructure. The purpose of such a procedure is the setup of equalization mechanisms, which can re-balance the territorial effects though he so-called “land value capture” tools. Thanks to a relatively quick phase of development and implementation, the described application could be used as a tool for the ex-ante evaluation of different infrastructure projects and as an ex-post analysis tool for the monitoring of an existing infrastructure. Finally, thanks to the chance to understand the contribution of each territorial feature to the final price of the good, this application could be very useful in participatory planning processes because it could provide a common knowledge base which could be used to support the public administration’s capability of negotiation with the private partner, both in the participatory planning processes and in the public-private partnership procedures

Marker-assisted backcrossing for introgression of the saltol locus conferring salt stress tolerance in rice. [PE0856]

Soil salinization represents a threat for rice cultivation. The H2020 project NEURICE (New Commercial EUropean Rice) aimed at identifying and introducing genetic variation for salt tolerance in European rice germplasm, mainly by exploiting the positive effect of the Saltol QTL in maintaining the Na/K homeostasis. The Saltol QTL from the indica rice donor IR64-Saltol (located on chromosome 1) was introgressed into two japonica Italian varieties, Onice and Vialone Nano following a marker-assisted backcross (MABC) scheme, through three backcrosses and two selfing to achieve the BC3F4 generation. During the backcrosses, the scheme was coupled to an embryo rescue technique to fasten the process. At each backcross cycle, the foreground and background selections relied on SNP-based KASP markers. The BC3F1 selected lines showed a 91-98 and 93-98 recovery percentage for Onice and Vialone Nano backcrosses, respectively. BC3F2 lines were genotyped to identify homozygous lines at Saltol locus and the best BC3F3 lines (10 in Vialone Nano and 12 in Onice) were subjected to genotyping by sequencing (GBS) to allow a more precise screening of the recurrent parent genome. Finally, the best BC3F4 lines were subjected to field phenotyping in salinized fields on delta Po river, to in vivo assess their salt tolerance

Genome-wide association mapping in winter barley for grain yield and culm cell wall polymer content using the high-throughput CoMPP technique

<div><p>A collection of 112 winter barley varieties (<i>Hordeum vulgare</i> L.) was grown in the field for two years (2008/09 and 2009/10) in northern Italy and grain and straw yields recorded. In the first year of the trial, a severe attack of barley yellow mosaic virus (BaYMV) strongly influenced final performances with an average reduction of ~ 50% for grain and straw harvested in comparison to the second year. The genetic determination (GD) for grain yield was 0.49 and 0.70, for the two years respectively, and for straw yield GD was low in 2009 (0.09) and higher in 2010 (0.29). Cell wall polymers in culms were quantified by means of the monoclonal antibodies LM6, LM11, JIM13 and BS-400-3 and the carbohydrate-binding module CBM3a using the high-throughput CoMPP technique. Of these, LM6, which detects arabinan components, showed a relatively high GD in both years and a significantly negative correlation with grain yield (GYLD). Overall, heritability (<i>H</i>^<i>2</i>) was calculated for GYLD, LM6 and JIM and resulted to be 0.42, 0.32 and 0.20, respectively. A total of 4,976 SNPs from the 9K iSelect array were used in the study for the analysis of population structure, linkage disequilibrium (LD) and genome-wide association study (GWAS). Marker-trait associations (MTA) were analyzed for grain yield and cell wall determination by LM6 and JIM13 as these were the traits showing significant correlations between the years. A single QTL for GYLD containing three MTAs was found on chromosome 3H located close to the Hv-eIF4E gene, which is known to regulate resistance to BaYMV. Subsequently the QTL was shown to be tightly linked to rym4, a locus for resistance to the virus. GWAs on arabinans quantified by LM6 resulted in the identification of major QTLs closely located on 3H and hypotheses regarding putative candidate genes were formulated through the study of gene expression levels based on bioinformatics tools.</p></div

Genome-wide association analysis of grain yield-associated traits in a pan-European barley cultivar collection

A collection of 379 Hordeum vulgare cultivars, comprising all combinations of spring and winter growth habits with two and six row ear type, was screened by genome wide association analysis to discover alleles controlling traits related to grain yield. Genotypes were obtained at 6,810 segregating gene-based single nucleotide polymorphism (SNP) loci and corresponding field trial data were obtained for eight traits related to grain yield at four European sites in three countries over two growth years. The combined data were analyzed and statistically significant associations between the traits and regions of the barley genomes were obtained. Combining this information with the high resolution gene map for barley allowed the identification of candidate genes underlying all scored traits and superposition of this information with the known genomics of grain trait genes in rice resulted in the assignation of 13 putative barley genes controlling grain traits in European cultivated barley. Several of these genes are associated with grain traits in both winter and spring barley

Genetic dissection of photoperiod response based on GWAS of pre-anthesis phase duration in spring barley

Heading time is a complex trait, and natural variation in photoperiod responses is a major factor controlling time to heading, adaptation and grain yield. In barley, previous heading time studies have been mainly conducted under field conditions to measure total days to heading. We followed a novel approach and studied the natural variation of time to heading in a world-wide spring barley collection (218 accessions), comprising of 95 photoperiod-sensitive (Ppd-H1) and 123 accessions with reduced photoperiod sensitivity (ppd-H1) to long-day (LD) through dissecting pre-anthesis development into four major stages and sub-phases. The study was conducted under greenhouse (GH) conditions (LD; 16/8 h; ∼20/∼16°C day/night). Genotyping was performed using a genome-wide high density 9K single nucleotide polymorphisms (SNPs) chip which assayed 7842 SNPs. We used the barley physical map to identify candidate genes underlying genome-wide association scans (GWAS). GWAS for pre-anthesis stages/sub-phases in each photoperiod group provided great power for partitioning genetic effects on floral initiation and heading time. In addition to major genes known to regulate heading time under field conditions, several novel QTL with medium to high effects, including new QTL having major effects on developmental stages/sub-phases were found to be associated in this study. For example, highly associated SNPs tagged the physical regions around HvCO1 (barley CONSTANS1) and BFL (BARLEY FLORICAULA/LEAFY) genes. Based upon our GWAS analysis, we propose a new genetic network model for each photoperiod group, which includes several newly identified genes, such as several HvCO-like genes, belonging to different heading time pathways in barley

Morphisms between Grassmannians, II

Denote by $\mathbb G(k,n)$ the Grassmannian of linear subspaces of dimension $k$ in $\mathbb P^n$. We show that, if $\varphi:\mathbb G(l,n) \to \mathbb G(k,n)$ is a non constant morphism and $l \not=0,n-1$ then $l=k$ or $l=n-k-1$ and $\varphi$ is an isomorphism

Eco-Industrial Parks and Sustainable Spatial Planning: A Possible Contradiction?

The definition and the subsequent development of eco-industrial parks (EIPs) have been deeply based on the application of industrial ecology theory, which pays specific attention to metabolic exchanges within industrial processes to address a deep reduction of limited resource consumption and a minimization of waste production in the framework of a sustainable development approach. Despite the EIPs configurations being essentially based on the overall idea of sustainability, the problem of defining their proper location inside the territory and the consequent land use model, to minimize land consumption, have not always been central in the wide range of studies and practices concerning the EIPs. Nevertheless, the specific problem of a drastic reduction of land consumption at the EIP planning stage acquires a crucial role and, therefore, needs to be carefully assessed inside the perspective of sustainable urban development. In this framework, the paper firstly aims at facing the nontrivial relationship between the EIPs' theorizations and implementations and the reduction of land consumption by referencing specific studies and shared tools, where new developments have been favored despite the conversion and redevelopment of existing industrial park

Hippocampal volume and integrity as predictors of cognitive decline in intact elderly

Risk of Alzheimer’s disease (AD) can be predicted by volumetric analyses of MRI data in the medial temporal lobe. The present study compared a volumetric measurement of the hippocampus to a novel measure of hippocampal integrity derived from the ratio of parenchyma volume over total volume. Participants were cognitively intact and aged 60 or older at baseline, and were tested twice, roughly three years apart. Participants had been recruited for a study on late-life major 34 depression (LLMD) and were evenly split between depressed and controls. Linear regression models were applied to the data with a cognitive composite score as outcome, and hippocampal integrity (HI) and volume (HV), together or separately, as predictors. Subsequent cognitive performance was predicted well by models that include an interaction between HI and LLMD-status, such that lower HI scores predicted more cognitive decline in depressed subjects. More research is needed, but tentative results from this study appear to suggest that the newly introduced measure HI is an effective tool for the purpose of predicting future changes in general cognitive ability, and especially so in individuals with LLMD

Escape to the country: A reaction-driven rural renaissance on a Swedish island post COVID-19

The COVID-19 pandemic could be driving more households to migrate out of cities and to the countryside, but this might result in an increased demand for access to green space which, in the long run, may cause a widening of social inequalities in rural areas. On the contrary, if planned for, it could provide an opportunity for repopulation and regeneration. This article explores the underlying causes and impacts of current rural in-migration, and further, it touches on how planning can balance development while supporting communities for a rural renaissance. By using a case study area in Sweden, it examines evidence of amenity-driven in-migration flows before and during the pandemic. The findings show an increased usage of part-time housing as a result of demand for space and nature; however, this was made possible through already well functioning infrastructures. Acknowledging that it is crucial to maintain and enhance natural capital, this study suggests that the supply of services and infrastructure is essential to achieve a rural renaissance beyond temporary tourism. As people are increasingly dividing their time between their urban permanent home and their rural second home, this may further suggest that there is a need to improve the connections between urban and rural areas