CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate

Ramirez‐Villegas, Julian, Molero Milan, Anabel, Alexandrov, Nickolai, Asseng, Senthold, Challinor, Andrew J., Crossa, Jose, van Eeuwijk, Fred, Ghanem, Michel Edmond +14 more·2020·Crop Science

Cites (210)

Items 201–210 of 210

  1. Environment characterisation for the interpretation of environmental effect and genotype � environment interaction
    Xavier Lacaze, Pierre Roumet · 2004 · Theoretical and Applied Genetics
  2. New modelling technique for improving crop model performance - Application to the GLAM model
    Ioannis Droutsas, Andrew Juan Challinor, Mikolaj Swiderski, Mikhail A. Semenov · 2019 · Environmental Modelling & Software
  3. Model‐Driven Multidisciplinary Global Research to Meet Future Needs: The Case for “Improving Radiation Use Efficiency to Increase Yield”
    Senthold Asseng, Pierre Martre, Frank A. Ewert, Maria Fernanda Dreccer, Brian L. Beres, Matthew Paul Reynolds, Hans‐Joachim Braun, Peter Langridge, Jacques Le Gouis, Jérôme Salse et al. · 2019 · Crop Science
  4. Characterizing the diversity of sweetpotato through growth parameters and leaf traits: Precocity and light use efficiency as important ordination factors
    David A. Ramírez, Carla P. Gavilan, Carolina Barreda, Bruno Condori, Genoveva Rossel, Robert O. M. Mwanga, Maria Andrade, Philippe Monneveux, Noelle Lynette Anglin, David D. Ellis et al. · 2017 · South African Journal of Botany
  5. Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations
    Senthold Asseng, Frank A. Ewert, Pierre Martre, Cynthia E. Rosenzweig, Jim W. Jones, Jerry Lee Hatfield, Alex C. Ruane, Kenneth Jay Boote, Peter J. Thorburn, Reimund Paul Rötter et al. · 2016 · Open Data Journal for Agricultural Research
  6. Modeling Genotype × Environment Interaction Using a Factor Analytic Model of On‐Farm Wheat Trials in the Yaqui Valley of Mexico
    Mateo Vargas, Iván Ortiz‐Monasterio, Paulino Pérez‐Rodríguez, Osval Antonio Montesinos-López, Abelardo Montesinos‐López, Juan A. Burgueño, José Luis Crossa · 2018 · Agronomy Journal
  7. Genomic Prediction Accounting for Residual Heteroskedasticity
    Zhining Ou, Robert John Tempelman, Juan Pedro Steibel, Catherine W. Ernst, Ronald O Bates, Nora M. Bello · 2015 · G3 Genes Genomes Genetics
  8. Towards a genotypic adaptation strategy for Indian groundnut cultivation using an ensemble of crop simulations
    Julián Ramírez-Villegas, Andrew Juan Challinor · 2016 · Climatic Change
  9. Global field experiments for potato simulations
    R. Raymundo, S. Asseng, R. Prasad, U. Kleinwechter, B. Condori, W. Bowen, J. Wolf, J. Olesen, Qiaoxue Dong, L. Zotarelli et al. · 2018 · Open Data Journal for Agricultural Research
  10. SAMARA: A crop model for simulating rice phenotypic plasticity
    Michaël Dingkuhn, Uttam Kumar, Ma. Rebecca C. Laza, Richard Pasco · 2016 · Agritrop (Cirad)