* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download De Pace et al. (2007)-Farm. Syst. Des
Pharmacogenomics wikipedia , lookup
Medical genetics wikipedia , lookup
Genetically modified food wikipedia , lookup
Designer baby wikipedia , lookup
Quantitative trait locus wikipedia , lookup
Biology and consumer behaviour wikipedia , lookup
Koinophilia wikipedia , lookup
Pathogenomics wikipedia , lookup
Behavioural genetics wikipedia , lookup
Population genetics wikipedia , lookup
Human genetic variation wikipedia , lookup
Heritability of IQ wikipedia , lookup
Genetic testing wikipedia , lookup
Microevolution wikipedia , lookup
Genetic engineering wikipedia , lookup
History of genetic engineering wikipedia , lookup
Genetically modified crops wikipedia , lookup
Genome (book) wikipedia , lookup
Public health genomics wikipedia , lookup
Genetically modified organism containment and escape wikipedia , lookup
De Pace C., M. Pasquini, A. Matere, 2007. Genetic information on crop varieties provide high quality indicators to address agri-environmental issues. In: Farming Systems Design 2007, Int. Symposium on Methodologies on IntegratedAnalysis on Farm Production Systems, M. Donatelli, J. Hatfield, A. Rizzoli Eds., Catania (Italy), 10-12 September 2007, book 2 – Field-farm scale design and improvement, pag. 155-156. ISBN 978-88-7830-474-1. PDF Summary In farming systems aimed to sustainable crop production, the pressure of certain activities (i.e. agrochemical distribution, crop variety choice) on the environmental media (soil, water or air) and systems (biodiversity and landscape) is gauged by indicators such as the net surpluses of soil nutrients and pesticide residue into the soil and crop products. Several factors account for levels of those difficult-to-measure indicators, but the genetic pool of crop species and varieties used for production has the major share. Mixtures of crop species and crop varieties that withstand pathogen epidemics favour pesticide input reduction and increase crop yield per unit of inputs compared to the monoculture of the single components. Therefore, temporal and spatial genetic diversification in crop fields achieved through crop rotation, intercropping, variety mixture and stacking resistance genes in one variety, is a strategy that slows down the rate of pathogen and pest evolution, enforces host resistance, reduces pesticide use and increases the output performance of the system compared to the mean of its components or genes. This suggests that the ’number of components’ in intercrop, rotation, or mixture is a reliable indicator of lower pressure over the environment. Crop varieties with durable genetic resistance to major pests and diseases reduce also the use of fungicides and input resources. Therefore, in a DPSIR (Driving forces-Pressure-State-Impact-Response) conceptual framework, the “number of genes” controlling the productivity resilience of stress resistant crop varieties or an index of the reduction of disease severity symptoms due to genetic field resistance, will be consistent and reliable driving force indicators linked to a reduced pressure of agriculture on environmental resources. Evidences are provided that driving force sustainability indicators can be standardized from genetic information on: (a) Triticum aestivum (bread wheat) response to powdery mildew disease caused by Blumeria (syn. Erysiphe) graminis f. sp. tritici , and (b)T. turgidum var. durum (durum wheat) field response to brown rust disease caused by Puccinia triticina. Key words: Sustainability; indicators; genetic resistance; DPSIR; Powdery mildew; Brown rust; Dasypyrum.