Articles citing this paper
Simulation of growth, development and yield of canola (Brassica napus) in APSIM
M. J. Robertson A B D and J. M. Lilley A C
+ Author Affiliations
- Author Affiliations
A CSIRO Agriculture.
B PMB 5, Wembley, WA 6913, Australia.
C GPO Box 1600, Canberra, ACT 2601, Australia.
D Corresponding author. Email: michael.robertson@csiro.au
Crop and Pasture Science 67(4) 332-344 https://doi.org/10.1071/CP15267
Submitted: 16 August 2015 Accepted: 31 October 2015 Published: 29 March 2016
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He Di,
Wang Jing,
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Deligios Paola A.,
Grant Brian,
Jing Qi,
Nendel Claas,
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Qian Budong,
Eyshi Rezaei Ehsan,
Smith Ward,
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Crop and Pasture Science. 2016 67(4). p.419
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Wang Enli,
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Parry Hazel,
Umina Paul A.,
Binns Matthew R.,
Heddle Thomas,
Hoffmann Ary A.,
Holloway Joanne,
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Ward Samantha,
Wood Rachel, Macfadyen Sarina
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Wang Enli,
Wang Jing, Robertson Michael J.
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Field Crops Research. 2020 246 p.107679
