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BACKGROUND AND AIMS Aerenchyma formation in maize adventitious roots is induced in nutrient solution by the deprivation of sulfate (S) under well-oxygenated conditions. The aim of this research was to examine the extent of aerenchyma formation in the cortex of sulfate-deprived adventitious roots along the root axis, in correlation with the presence of(More)
Young maize (Zea mays L., Poaceae) plants were grown in a complete, well-oxygenated nutrient solution and then deprived of their external source of sulphate. This treatment induced the formation of aerenchyma in roots. In addition to the effect of sulphate starvation on root anatomy, the presence and location of superoxide anions and hydrogen peroxide, and(More)
Nitrate (N), phosphate (P) or sulphate (S) deprivation causes aerenchyma formation in maize (Zea mays L.) nodal roots. The exact mechanisms that trigger the formation of aerenchyma under these circumstances are unclear. We have compared aerenchyma distribution across the nodal roots of first whorl (just emerging in 10-day-old seedlings), which were subject(More)
The Organic.Edunet Web portal is a multilingual federation of educational repositories, developed in order to enhance the availability and retrieval of quality educational resources about Organic Agriculture (OA) and Agroecology (AE). This paper presents the results of an online survey that took place from March to August 2010 in order to evaluate the user(More)
The agINFRA project (www.aginfra.eu) is a European Commission funded project under the 7th Framework Programme that aimed to introduce agricultural scientific communities to the vision of open and participatory data-intensive science. Working on enhancing the interoperability between heterogeneous data sources, the agINFRA project has left a set of grid-(More)
The agINFRA project focuses on the production of interoperable data in agriculture, starting from the vocabularies and KOS used to classify and annotate them. In this paper we report on our first steps in the direction of contributing to a LOD of agricultural data. In particular we look at germplasm data and soil data, which are still widely missing from(More)
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