Agriculture Reference
In-Depth Information
203. International Wheat Genome Organization. Available online: http://www.wheatgen-
ome.org/ (accessed on 1 September 2011).
204. International Barley Sequencing Consortium. Available online: http://barleygen-
ome.org/ (accessed on 1 September 2011).
205. Food and Agriculture Organization. Available online: http://www.fao.org/world-
foodsituation/wfs-home/csdb/en/ (accessed on 1 September 2011).
206. Edgerton, M.D. Increasing crop productivity to meet global needs for feed, food and
fuel. Plant Physiol. 2009, 149, 7-13, doi:10.1104/pp.108.130195.
207. Pilbeam, D.J. The utilization of nitrogen by plants: A whole plant perspective. In
Annual Plant Reviews, Nitrogen Metabolism in Plants in the Post-genomic Era;
Foyer, C.H., Zhang, H., Eds.; Wiley-Blackwell: Chichester, UK, 2011; Volume 42,
pp. 305-352.
208. Cañas, R.A.; Amiour, N.; Quilleré, I.; Hirel, B. An integrated statistical analysis of
the genetic variability of nitrogen metabolism in the ear of three maize inbred lines
(Zea mays L.). J. Exp. Bot. 2010, 62, 2309-2318.
209. Charpentier, M.; Oldroyd, G. How close are we to nitrogen-fixing cereals? Curr.
Opin. Plant Biol. 2010, 13, 556-564, doi:10.1016/j.pbi.2010.08.003.
210. Tremblay, M.; Wallach, D. Comparison of parameter estimation methods for crop
models. Agronomie 2004, 24, 351-365, doi:10.1051/agro:2004033.
211. McCown, R.L.; Hammer, G.L.; Hargreaves, J.N.G.; Holzworth, D.P.; Freebairn,
D.M. APSIM: A novel software system for model development, model testing
and simulation in agricultural systems research. Agr. Syst. 1996, 50, 255-271,
doi:10.1016/0308-521X(94)00055-V.
212. Stark, C.H.; Richards, K.G. The continuing challenge of agricultural nitrogen loss to
the environment in the context of global change and advancing research. Dyn. Soil.
Dyn. Plant 2008, 2, 1-12.
213. Hammer, G.L.; Kropff, M.J.; Sinclair, T.R.; Porter, J.R. Future contributions of
crop modeling—from heuristics and supporting decision-making to understanding
genetic regulation and aiding crop improvement. Eur. J. Agron. 2002, 18, 15-31,
doi:10.1016/S1161-0301(02)00093-X.
214. Samborski, S.M.; Tremblay, N.; Fallon, E. Strategies to make use of plant sensors-
based diagnostic information for nitrogen recommendations. Agron. J. 2009, 101,
800-816, doi:10.2134/agronj2008.0162Rx.
