Scott Chapman
Scott Chapman
CSIRO and The University of Queensland
Verified email at csiro.au
Title
Cited by
Cited by
Year
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
23432003
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
7592014
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
4521997
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
4092002
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 (6), 1001-1021, 2010
3972010
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
3671999
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
3662006
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
3362011
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
2692002
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
2521999
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
2372010
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
2172003
Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a “gene-to-phenotype” modeling approach
K Chenu, SC Chapman, F Tardieu, G McLean, C Welcker, GL Hammer
Genetics 183 (4), 1507-1523, 2009
2052009
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
2032011
Adaptation science for agriculture and natural resource management—urgency and theoretical basis
H Meinke, SM Howden, PC Struik, R Nelson, D Rodriguez, SC Chapman
Current Opinion in Environmental Sustainability 1 (1), 69-76, 2009
1952009
A sunflower simulation model: I. Model development
SC Chapman, GL Hammer, H Meinke
Agronomy Journal 85 (3), 725-735, 1993
1921993
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
1892012
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
1862014
Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions
CL McIntyre, KL Mathews, A Rattey, SC Chapman, J Drenth, M Ghaderi, ...
Theoretical and Applied Genetics 120 (3), 527-541, 2010
1782010
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
1682013
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