<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Borges, P. J.</style></author><author><style face="normal" font="default" size="100%">Fragoso, R.</style></author><author><style face="normal" font="default" size="100%">Garcia-Gonzalo, J.</style></author><author><style face="normal" font="default" size="100%">Borges, J. G.</style></author><author><style face="normal" font="default" size="100%">Marques, S.</style></author><author><style face="normal" font="default" size="100%">Lucas, M. R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system</style></title><secondary-title><style face="normal" font="default" size="100%">Forest Policy and Economics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agricultural policy</style></keyword><keyword><style  face="normal" font="default" size="100%">decision support system</style></keyword><keyword><style  face="normal" font="default" size="100%">Land use pattern</style></keyword><keyword><style  face="normal" font="default" size="100%">mathematical programming</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S1389934109001178</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">111 - 120</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper discusses research aiming at assessing Common Agricultural Policy impacts on agriculture and forestry. For this purpose an approach is developed that includes a linear programming model to estimate the Positive Mathematical Programming production cost function coefﬁcients of current agricultural– forestry activities. It further includes a heuristic — simulated annealing — to generate solutions for each policy scenario. This model base approach is integrated within a decision support system (DSS) for testing purposes. The DSS further encompasses a relational database that stores agricultural–forestry technical and economic data and a geographic information system that stores topological data of regional farm-type land units. The DSS Graphical User Interface provides tabular and geographical reporting capabilities. Results are discussed for an application to the Alentejo region in Southern Portugal. Results demonstrate the usefulness and relevance of the proposed approach to assess the impact of changes in prices and in agricultural policy on land use patterns and on forestry</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier B.V.</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Burgarella, C.</style></author><author><style face="normal" font="default" size="100%">Lorenzo, Z.</style></author><author><style face="normal" font="default" size="100%">Jabbour-Zahab, R.</style></author><author><style face="normal" font="default" size="100%">Lumaret, R.</style></author><author><style face="normal" font="default" size="100%">Guichoux, E.</style></author><author><style face="normal" font="default" size="100%">Petit, R. J.</style></author><author><style face="normal" font="default" size="100%">Soto, A.</style></author><author><style face="normal" font="default" size="100%">Gil, L.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detection of hybrids in nature: application to oaks (Quercus suber and Q. ilex).</style></title><secondary-title><style face="normal" font="default" size="100%">Heredity</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">clustering analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">introgressive hybridization</style></keyword><keyword><style  face="normal" font="default" size="100%">microsatellites</style></keyword><keyword><style  face="normal" font="default" size="100%">Q. ilex</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus suber</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19240752</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">102</style></volume><pages><style face="normal" font="default" size="100%">442 - 452</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Powerful and accurate detection of first-generation (F1) hybrids and backcrosses in nature is needed to achieve a better understanding of the function and dynamics of introgression. To document the frequency of ongoing interspecific gene exchange between two Mediterranean evergreen oaks, the cork oak (Quercus suber) and the holm oak (Q. ilex), we analyzed 1487 individuals originating from across the range of the two species using eight microsatellite loci and two Bayesian clustering approaches (implemented in the programs STRUCTURE and NEWHYBRIDS). Simulated data were used to assess the differences between the two clustering methods and to back up the choice of the threshold value for the posterior probability to discriminate admixed from pure individuals. We found that the use of STRUCTURE resulted in the highest power to detect hybrids, whereas NEWHYBRIDS provided the highest accuracy. Irrespective of the approach, the two species were clearly distinguished as independent genetic entities without any prior information. In contrast with previous reports, we found no evidence for unidirectional introgression. The overall hybridization rate was very low (&lt;2% of introgressed individuals). Only two individuals were identified as F1 hybrids and five as early backcrosses. This work shows that the combined application of the two complementary Bayesian approaches and their systematic validation with simulations, fit for the case at hand, helps gain resolution in the identification of admixed individuals.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 19240752</style></notes></record></records></xml>