Oat (Avena sativa L.), among minor grain, is an important resource for Mediterranean areas, both economic and agronomic implications. In fact, this species is more hardy than the major cereals like wheat, which allow it to grow in marginal environments typical of internal areas of South of Italy.Oat is an important crop for integrated crop-livestock farming systems, widely used as animal feed (feed-grain, hay-pasture, pasture-silage) as well as for human consumption (grain). In addition, this species is highly recognized for its positive health benefits, attributed in part to soluble fiber (especially beta-glucans).For several years, interest in oats has been increasing by the introduction of new varieties that have allowed the spread of this species in under-used agricultural areas and the possibility to introduce different oat grain products in the market for human consumption. Actually the active oat breeding programs around the world have selected new oat varieties, developed for different growing areas. Given the danger of genetic erosion the collection and enhancement of local oat germplasm is a strategic point for biodiversity conservation of the species and plant breeding. Therefore, the objectives of this study was to collect local oats populations in traditional growing areas of Sicily, and to compare their bio-agronomic and quality behavior with most common commercial varieties.A total of 26 local populations, collected in internal central-western Sicilian environments, were studied under field conditions in Cammarata (Agrigento- Southern Italy) over three growing seasons (2005-2006, 2006-2007 and 2007-2008). compared to 6 varieties listed on the Italian National Register of Varieties (Hamel, Primula, Argentina, Donata , Bionda and TeoBD41). Field experiments were carried out in a randomized block design with three replications. The sowing rates were 400 seeds m-2 for experiment conditions. and the following parameters were counted: yield (t/ha), protein and lipid content of grain (%), high of plant (cm). Data were analyzed using SAS, version 9.2.
|Number of pages||8|
|Publication status||Published - 2013|