"7695","10","archive","128",,,"disk0/00/00/76/95","2014-03-24 08:05:31","2017-09-04 08:38:11","2014-03-24 08:05:31","article",,,"show","Library-ICRISAT@CGIAR.ORG",,,"","","","","","","","","","",,,,"Vadez","V","","","","","","","Vadez","V","","","","",,,,,"","",,,,,"","","ICRISAT(Patancheru)","India","Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling*","pub","s2.4","","","public",,,"aquaporin, lysimeters, vapor pressure deficit, water saving traits. *G*E*M: Genotype, Environment and Management.",,,"Crop production is axiomatically related to water consumption of transpiring leaves.
Crop adaptation to water limitation then becomes an exercise of matching water
supply and demand in away that the crop has enough water to complete its cropping
cycle. Weather conditions vary greatly across years within environments while both
weather and soil conditions vary across locations, which means that drought
scenario are extremely variable and these need to be properly characterized as a
pre-requisite to undertake drought research. Once the weather scenarios are
defined, traits contributing to the crop adaptation to any of these scenarios need to be
identified.We believe that much of these traits revolve around the need to optimize
plant water use and make it efficient, together with the need to maximize water
capture from the soil.Optimization of plant water use consist in identifying traits that
will ensure maximum crop growth while keeping sufficient water for the grain filling
period, and it deals with controlling water losses, and minimizing leaf canopy
development. While tapping more water is surely important, the timing of water
extraction to critical crop stages, e.g. the grain filling stage, is even more critical. It
depends in great part on the way water has been managed by the plant at earlier
stages, in particular to the capacity to develop a smaller crop canopy, or the capacity
to restrict plant transpiration, especially under high evaporative demand. Clearly,
the development of cultivars capable of better performance under water limited
conditions is the result of many possible characteristics that interact with one another
andwith the environment, and it is difficult to experimentally determinewhich among
these traits has a predominant effect on yield in a given situation. Crop simulation
modeling comes in to help to navigate biological complexity by allowing to test the
effect of traits on yield acrossmany years of weather andmany locations. It also helps
combining both agronomic and genetic options to maximize crop production at the
plot level.","2013",,,"Secheresse","24",,"John Libbey Eurotext",,"274-281",,,,,,,,,,,"TRUE",,"1147-7806",,,,,,"","http://www.jle.com/en/revues/agro_biotech/sec/sommaire.phtml","http://scholar.google.co.in/scholar?as_q=%22Coping+with+drought%3A+Resilience+versus+risk.+Targeting+the+most+suitable+G*E*M+options+by+crop+simulation+modeling*%22&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=","pub",,"","",,,,,,"",,,,,,,"",,,,,"",,,,,"","",,,,,"","",,,,,
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