公开(公告)号：EP3474167A1

公开(公告)日：2019-04-24

申请号：EP17196950.4

申请日：2017-10-17

申请人： Agroscope

发明人： Herrera, Juan ,  Levy, Lilia ,  Holzkämper, Annelie ,  Pellet, Didier

IPC分类号： G06F19/18 ,  G06F19/24

摘要： An automated system is described for predicting performance of a crop genotype under particular environmental conditions. The system 1 is operable in a training phase, during which crop performance information 5' and corresponding environmental data 2' are used to train a predictor model 10 using a RR-BLUP regression algorithm 9. Predictor variables 8 for the regression algorithm are generated from the environment data 2' using a standard crop model 3. In an operation mode of the system, the trained model is used to generate predicted value(s) 7 of the performance parameters 5 of a particular genotype on the basis of environmental limiting factors 8 derived using the same crop model 3 from specified environmental conditions 2. A training method, a prediction method and a computer program product are also described.