Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis.
Pierre Casadebaig; Bangyou Zheng; Scott Chapman; Neil Huth; Robert Faivre; Karine Chenu;
- Publisher: Public Library of Science (PLoS)
- Journal: PLoS ONE,volume 11,issue 1 (issn: 1932-6203, eissn: 1932-6203)
Related identifiers: ,
- Subject: Research Article | Crop Genetics | Natural Resources | WATER-LIMITED ENVIRONMENTS;SPRING BREAD WHEAT;GRAIN-YIELD;SYSTEMS SIMULATION;DROUGHT TOLERANCE;GENETIC-VARIATION;USE EFFICIENCY;GENOTYPE;ADAPTATION;SELECTION | Ecology and Environmental Sciences | Crops | Chemical Compounds | Agriculture | Genetics | Physical Sciences | Grasses | Water Resources | Agrochemicals | Plants | Crop Science | Plant Science | Wheat | Cereal Crops | Chemistry | Carbon Dioxide | Crop Management | Biology and Life Sciences | Quantitative Biology - Populations and Evolution | Fertilizers | Medicine | Soil Science | Plant Genetics | Q | R | Agricultural Soil Science | Science | Organisms | Quantitative Biology - Quantitative Methods
A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of numerical methods for model exploration assist in evaluating the major most influential inputs... View more