<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling*"^^ . "Crop production is axiomatically related to water consumption of transpiring leaves.\r\nCrop adaptation to water limitation then becomes an exercise of matching water\r\nsupply and demand in away that the crop has enough water to complete its cropping\r\ncycle. Weather conditions vary greatly across years within environments while both\r\nweather and soil conditions vary across locations, which means that drought\r\nscenario are extremely variable and these need to be properly characterized as a\r\npre-requisite to undertake drought research. Once the weather scenarios are\r\ndefined, traits contributing to the crop adaptation to any of these scenarios need to be\r\nidentified.We believe that much of these traits revolve around the need to optimize\r\nplant water use and make it efficient, together with the need to maximize water\r\ncapture from the soil.Optimization of plant water use consist in identifying traits that\r\nwill ensure maximum crop growth while keeping sufficient water for the grain filling\r\nperiod, and it deals with controlling water losses, and minimizing leaf canopy\r\ndevelopment. While tapping more water is surely important, the timing of water\r\nextraction to critical crop stages, e.g. the grain filling stage, is even more critical. It\r\ndepends in great part on the way water has been managed by the plant at earlier\r\nstages, in particular to the capacity to develop a smaller crop canopy, or the capacity\r\nto restrict plant transpiration, especially under high evaporative demand. Clearly,\r\nthe development of cultivars capable of better performance under water limited\r\nconditions is the result of many possible characteristics that interact with one another\r\nandwith the environment, and it is difficult to experimentally determinewhich among\r\nthese traits has a predominant effect on yield in a given situation. Crop simulation\r\nmodeling comes in to help to navigate biological complexity by allowing to test the\r\neffect of traits on yield acrossmany years of weather andmany locations. It also helps\r\ncombining both agronomic and genetic options to maximize crop production at the\r\nplot level."^^ . "2013" . . "24" . . "John Libbey Eurotext"^^ . . . "Secheresse"^^ . . . "11477806" . . . . . . . . . . "J"^^ . "Kholova"^^ . "J Kholova"^^ . . "V"^^ . "Vadez"^^ . "V Vadez"^^ . . . . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (PDF)"^^ . . . . . "Secheresse_2013_24_274-281.pdf"^^ . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (Other)"^^ . . . . . . "small.jpg"^^ . . . "Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling* (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #7695 \n\nCoping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling*\n\n" . "text/html" . . . "Agriculture-Farming, Production, Technology, Economics"@en . .