Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress
Authors
Keywords
-
Journal
ANNALS OF BOTANY
Volume 114, Issue 3, Pages 499-511
Publisher
Oxford University Press (OUP)
Online
2014-07-02
DOI
10.1093/aob/mcu127
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO2 concentration on crop productivity
- (2013) Xinyou Yin ANNALS OF BOTANY
- Putting mechanisms into crop production models
- (2013) KENNETH J. BOOTE et al. PLANT CELL AND ENVIRONMENT
- Physiological basis of genetic variation in leaf photosynthesis among rice (Oryza sativa L.) introgression lines under drought and well-watered conditions
- (2012) Junfei Gu et al. JOURNAL OF EXPERIMENTAL BOTANY
- A functional–structural model of rice linking quantitative genetic information with morphological development and physiological processes
- (2011) Lifeng Xu et al. ANNALS OF BOTANY
- 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
- (2011) Junfei Gu et al. JOURNAL OF EXPERIMENTAL BOTANY
- The next generation models for crops and agro-ecosystems
- (2011) XinGuang Zhu et al. Science China-Information Sciences
- Challenges in breeding for yield increase for drought
- (2011) Thomas R. Sinclair TRENDS IN PLANT SCIENCE
- The role of QTLs in the breeding of high-yielding rice
- (2011) Kotaro Miura et al. TRENDS IN PLANT SCIENCE
- Dissection and modelling of abiotic stress tolerance in plants
- (2010) François Tardieu et al. CURRENT OPINION IN PLANT BIOLOGY
- Combining ecophysiological modelling and quantitative trait locus analysis to identify key elementary processes underlying tomato fruit sugar concentration
- (2010) Marion Prudent et al. JOURNAL OF EXPERIMENTAL BOTANY
- Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance
- (2010) Carlos D. Messina et al. JOURNAL OF EXPERIMENTAL BOTANY
- Modelling the crop: from system dynamics to systems biology
- (2010) Xinyou Yin et al. JOURNAL OF EXPERIMENTAL BOTANY
- Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops
- (2010) Graeme L. Hammer et al. JOURNAL OF EXPERIMENTAL BOTANY
- Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A “Gene-to-Phenotype” Modeling Approach
- (2009) Karine Chenu et al. GENETICS
- Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case-study of fruit and grain quality traits
- (2009) N. Bertin et al. JOURNAL OF EXPERIMENTAL BOTANY
- Progress in ideotype breeding to increase rice yield potential
- (2008) Shaobing Peng et al. FIELD CROPS RESEARCH
- Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomics
- (2008) Xinyou Yin et al. NEW PHYTOLOGIST
- Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize
- (2008) KARINE CHENU et al. PLANT CELL AND ENVIRONMENT
- Fine mapping of a major quantitative trait loci, qSSP7, controlling the number of spikelets per panicle as a single Mendelian factor in rice
- (2008) Y. Z. Xing et al. THEORETICAL AND APPLIED GENETICS
- Marker-assisted selection: an approach for precision plant breeding in the twenty-first century
- (2007) B. C.Y Collard et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started