Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress
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2002, Present and future of quantitative trait locus analysis in plant breeding, Plant Breeding, 121, 281, 10.1046/j.1439-0523.2002.730285.x
2010, Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case-study of fruit and grain quality traits, Journal of Experimental Botany, 61, 955, 10.1093/jxb/erp377
2013, Putting mechanisms into crop production models, Plant, Cell and Environment, 36, 1658, 10.1111/pce.12119
2003, Evaluating plant breeding strategies by simulating gene action and dryland environment effects, Agronomy Journal, 95, 99, 10.2134/agronj2003.0099
2008, Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize, Plant, Cell and Environment, 31, 378, 10.1111/j.1365-3040.2007.01772.x
2009, Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a ‘gene-to-phenotype’ modeling approach, Genetics, 183, 1507, 10.1534/genetics.109.105429
2008, Marker-assisted selection: an approach for precision plant breeding in the twenty-first century, Philosophical Transactions of the Royal Society B: Biological Sciences, 363, 557, 10.1098/rstb.2007.2170
2012, Rice in a cropping systems – modelling transitions between flooded and non-flooded soil environments, European Journal of Agronomy, 30, 9
2012, Using chromosome introgression lines to map quantitative trait loci for photosynthesis parameters in rice (Oryza sativa L.) leaves under drought and well watered field conditions, Journal of Experimental Botany, 63, 455, 10.1093/jxb/err292
2012, Physiological basis of genetic variation in leaf photosynthesis among rice (Oryza sativa L.) introgression lines under drought and well-watered conditions, Journal of Experimental Botany, 63, 5137, 10.1093/jxb/ers170
2005, Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems, Crop and Pasture Science, 56, 947, 10.1071/AR05157
2006, Models for navigating biological complexity in breeding improved crop plants, Trends in Plant Science, 11, 587, 10.1016/j.tplants.2006.10.006
2010, Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops, Journal of Experimental Botany, 61, 2185, 10.1093/jxb/erq095
2000, Molecular marker assisted tagging of morphological and physiological traits under two contrasting moisture regimes at peak vegetative stage in rice (Oryza sativa L.), Euphytica, 112, 69, 10.1023/A:1003854224905
2007, High temperature stress and spikelet fertility in rice (Oryza sativa L.), Journal of Experimental Botany, 58, 1627, 10.1093/jxb/erm003
2008, Molecular markers and their use in marker-assisted selection in rice, Crop Science, 48, 1266, 10.2135/cropsci2008.02.0082
1998, QTL analysis in plants; where are we now?, Heredity, 80, 137, 10.1046/j.1365-2540.1998.00500.x
2003, Modelling cereal root systems for water and nitrogen capture: towards an economic optimum, Annals of Botany, 91, 383, 10.1093/aob/mcg033
La H The QTL mapping of traits related to drought tolerance and genetic transformation of herbicide tolerance in rice (Oryza sativa L.) 2004 Beijing, China China Agricultural University Dissertation
1992, Multivariate calibration
2006, A gene-based model to simulate soybean development and yield responses to environment, Crop Science, 46, 456, 10.2135/cropsci2005.04-0372
2011, Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance, Journal of Experimental Botany, 62, 855, 10.1093/jxb/erq329
2011, The role of QTLs in the breeding of high-yielding rice, Trends in Plant Science, 16, 319, 10.1016/j.tplants.2011.02.009
2001, Understanding the collinearity problem in regression and discriminant analysis, Journal of Chemometrics, 15, 413, 10.1002/cem.676
2005, Flowering response of rice to photoperiod and temperature: a QTL analysis using a phenological model, Theoretical and Applied Genetics, 110, 778, 10.1007/s00122-004-1905-4
2010, An introduction to statistical methods and data analysis
2008, Progress in ideotype breeding to increase rice yield potential, Field Crops Research, 108, 32, 10.1016/j.fcr.2008.04.001
2011, Combining ecophysiological modelling and quantitative trait locus analysis to identify key elementary processes underlying tomato fruit sugar concentration, Journal of Experimental Botany, 62, 907, 10.1093/jxb/erq318
2004, QTL analysis of quality traits in an advanced backcross between Prunus persica cultivars and the wild relative species P. davidiana, Theoretical and Applied Genetics, 109, 884, 10.1007/s00122-004-1703-z
2005, Analysing the genetic control of peach fruit quality through an ecophysiological model combined with a QTL approach, Journal of Experimental Botany, 56, 3083, 10.1093/jxb/eri305
2003, Combining quantitative trait loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit, Plant Physiology, 131, 664, 10.1104/pp.013839
2004, Dealing with the genotype × environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters, Journal of Experimental Botany, 55, 2461, 10.1093/jxb/erh200
2000, Selectable traits to increase crop photosynthesis and yield of grain crops, Journal of Experimental Botany, 51, 447, 10.1093/jexbot/51.suppl_1.447
2011, Challenges in breeding for yield increase for drought, Trends in Plant Science, 16, 289, 10.1016/j.tplants.2011.02.008
1975, Photosynthate and nitrogen requirements for seed production by various crops, Science, 189, 565, 10.1126/science.189.4202.565
2004, Crop transformation and the challenge to increase yield potential, Trends in Plant Science, 9, 70, 10.1016/j.tplants.2003.12.008
1998, Genotypic variation in nitrogen use efficiency in medium- and long-duration rice, Field Crops Research, 58, 35, 10.1016/S0378-4290(98)00084-7
2010, Dissection and modelling of abiotic stress tolerance in plants, Current Opinion in Plant Biology, 13, 206, 10.1016/j.pbi.2009.12.012
2008, Crop model based QTL analysis across environments and QTL based estimation of time to floral induction and flowering in Brassica oleracea, Molecular Breeding, 21, 205, 10.1007/s11032-007-9121-y
2012, Prediction of flowering time in Brassica oleracea using a quantitative trait loci-based phenology model, Plant Biology, 14, 179, 10.1111/j.1438-8677.2011.00478.x
2006, Working with dynamic crop models: evaluation, analysis, parameterization, and applications
2008, Simulation-based analysis of effects of Vrn and Ppd loci on flowering in wheat, Crop Science, 48, 678, 10.2135/cropsci2007.06.0318
2011, Genetic and molecular bases of rice yield, Annual Review of Plant Biology, 61, 421
2008, Fine mapping of a major quantitative trait loci, qSSP7, controlling the number of spikelets per panicle as a single Mendelian factor in rice, Theoretical and Applied Genetics, 116, 789, 10.1007/s00122-008-0711-9
2011, A functional–structural model of rice linking quantitative genetic information with morphological development and physiological processes, Annals of Botany, 107, 817, 10.1093/aob/mcq264
2013, Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO2 concentration on crop productivity, Annals of Botany, 112, 465, 10.1093/aob/mct016
2008, Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomics, New Phytologist, 179, 629, 10.1111/j.1469-8137.2008.02424.x
2010, Modelling the crop: from system dynamics to systems biology, Journal of Experimental Botany, 61, 2171, 10.1093/jxb/erp375
2005, Crop systems dynamics: an ecophysiological simulation model for genotype-by-environment interactions
2000, A model analysis of yield differences among recombinant inbred lines in barley, Agronomy Journal, 92, 114, 10.2134/agronj2000.921114x
2000, Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley, Heredity, 85, 539, 10.1046/j.1365-2540.2000.00790.x
2002, Use of component analysis in QTL mapping of complex crop traits: a case study on yield in barley, Plant Breeding, 121, 314, 10.1046/j.1439-0523.2002.729117.x
2004, Role of crop physiology in predicting gene-to-phenotype relationships, Trends in Plant Science, 9, 426, 10.1016/j.tplants.2004.07.007
2005, QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley, Journal of Experimental Botany, 56, 967, 10.1093/jxb/eri090
2005, Model analysis of flowering phenology in recombinant inbred lines of barley, Journal of Experimental Botany, 56, 959, 10.1093/jxb/eri089
Zhang C The genetic analysis and the QTL mapping of the major agronomic traits in RIL between lowland and upland ric (Oryza sativa L.) 2006 Beijing, China China Agricultural University Dissertation