Scott Chapman
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An overview of APSIM, a model designed for farming systems simulation
BA Keating, PS Carberry, GL Hammer, ME Probert, MJ Robertson, ...
European journal of agronomy 18 (3-4), 267-288, 2003
APSIM–evolution towards a new generation of agricultural systems simulation
DP Holzworth, NI Huth, PG deVoil, EJ Zurcher, NI Herrmann, G McLean, ...
Environmental Modelling & Software 62, 327-350, 2014
Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects
RS Pinto, MP Reynolds, KL Mathews, CL McIntyre, JJ Olivares-Villegas, ...
Theoretical and applied genetics 121, 1001-1021, 2010
Using a chlorophyll meter to estimate specific leaf nitrogen of tropical maize during vegetative growth
SC Chapman, HJ Barreto
Agronomy Journal 89 (4), 557-562, 1997
Expression profile analysis of the low-oxygen response in Arabidopsis root cultures
EJ Klok, IW Wilson, D Wilson, SC Chapman, RM Ewing, SC Somerville, ...
The Plant Cell 14 (10), 2481-2494, 2002
Raising yield potential of wheat. I. Overview of a consortium approach and breeding strategies
M Reynolds, D Bonnett, SC Chapman, RT Furbank, Y Manès, DE Mather, ...
Journal of experimental botany 62 (2), 439-452, 2011
Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, and harvest index
GO Edmeades, J Bolaños, SC Chapman, HR Lafitte, M Bänziger
Crop science 39 (5), 1306-1315, 1999
Models for navigating biological complexity in breeding improved crop plants
G Hammer, M Cooper, F Tardieu, S Welch, B Walsh, F van Eeuwijk, ...
Trends in plant science 11 (12), 587-593, 2006
Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops
GL Hammer, E van Oosterom, G McLean, SC Chapman, I Broad, ...
Journal of experimental botany 61 (8), 2185-2202, 2010
Development of a generic crop model template in the cropping system model APSIM
E Wang, MJ Robertson, GL Hammer, PS Carberry, D Holzworth, ...
European journal of Agronomy 18 (1-2), 121-140, 2002
Pheno-copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping
SC Chapman, T Merz, A Chan, P Jackway, S Hrabar, MF Dreccer, ...
Agronomy 4 (2), 279-301, 2014
Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modelling water-deficit patterns in North-Eastern Australia
K Chenu, M Cooper, GL Hammer, KL Mathews, MF Dreccer, ...
Journal of experimental botany 62 (6), 1743-1755, 2011
Selection improves drought tolerance in tropical maize populations: II. Direct and correlated responses among secondary traits
SC Chapman, GO Edmeades
Crop Science 39 (5), 1315-1324, 1999
Plant adaptation to climate change—opportunities and priorities in breeding
SC Chapman, S Chakraborty, MF Dreccer, SM Howden
Crop and Pasture Science 63 (3), 251-268, 2012
A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding
M Tattaris, MP Reynolds, SC Chapman
Frontiers in plant science 7, 1131, 2016
Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for A ustralian bread wheat (T riticum …
B Zheng, K Chenu, M Fernanda Dreccer, SC Chapman
Global Change Biology 18 (9), 2899-2914, 2012
The shifting influence of drought and heat stress for crops in northeast Australia
DB Lobell, GL Hammer, K Chenu, B Zheng, G McLean, SC Chapman
Global change biology 21 (11), 4115-4127, 2015
Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle
T Duan, SC Chapman, Y Guo, B Zheng
Field Crops Research 210, 71-80, 2017
Large‐scale characterization of drought pattern: a continent‐wide modelling approach applied to the Australian wheatbelt–spatial and temporal trends
K Chenu, R Deihimfard, SC Chapman
New Phytologist 198 (3), 801-820, 2013
Evaluating plant breeding strategies by simulating gene action and dryland environment effects
S Chapman, M Cooper, D Podlich, G Hammer
Agronomy Journal 95 (1), 99-113, 2003
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