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Number of items: 4.

G

Grassini, P and Bussel, L G J V and Wart, J V and Wolf, J and Claessens, L and Yang, H and Boogaard, H and Groote, H D and Ittersum, M K V and Cassman, K G (2015) How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis. Field Crops Research, 177. pp. 49-63. ISSN 0378-4290

R

Roorkiwal, M and Jarquin, D and Singh, M K and Gaur, P M and Bharadwaj, C and Rathore, A and Howard, R and Srinivasan, S and Jain, A and Garg, V and Kale, S M and Chitikineni, A and Tripathi, S and Jones, E and Robbins, K R and Crossa, J and Varshney, R K (2018) Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea. Scientific Reports (TSI), 8 (1) (11701). pp. 1-11. ISSN 2045-2322

V

Van Bussel, L G J and Grassini, P and Wart, J V and Wolf, J and Claessens, L and Yang, H and Boogaard, H and de Groot, H and Saito, K and Cassman, K G and van Ittersum, M K (2015) From field to atlas: Upscaling of location-specific yield gap estimates. Field Crops Research, 177. pp. 98-108. ISSN 0378-4290

W

Wart, J V and Grassini, P and Yang, H and Claessens, L and Jarvis, A and Cassman, K G (2015) Creating long-term weather data from thin air for crop simulation modeling. Agricultural and Forest Meteorology, 209-10 (1). pp. 49-58. ISSN 0168-1923

This list was generated on Sat Apr 20 02:39:27 2024 UTC.