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Conflict of Interest. Literature Cited. Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops Tian-Gen Chang. Oxford Academic. Google Scholar. Shuoqi Chang. Qing-Feng Song. Shahnaz Perveen. Xin-Guang Zhu. Cite Citation. Permissions Icon Permissions. Abstract Recent years witnessed a stagnation in yield enhancement in major staple crops, which leads plant biologists and breeders to focus on an urgent challenge to dramatically increase crop yield to meet the growing food demand.

Open in new tab Download slide. Table 1. Open in new tab. Search ADS. New frontiers in the three-dimensional visualization of plant structure and function. Stomatal closure during leaf dehydration, correlation with other leaf physiological traits. Source-sink interaction: a century old concept under the light of modern molecular systems biology.

Systematic optimization of whole plant carbon nitrogen interaction WACNI to support crop design for greater yield.

Crop plants as models for understanding plant adaptation and diversification

Multiscale digital Arabidopsis predicts individual organ and whole-organism growth. An introduction to markers, quantitative trait loci QTL mapping and marker-assisted selection for crop improvement: the basic concepts. Modeling QTL for complex traits: detection and context for plant breeding. High-resolution inflorescence phenotyping using a novel image-analysis pipeline, PANorama. Simultaneous knockdown of six non-family genes using a single synthetic RNAi fragment in Arabidopsis thaliana.

Google Preview. Quantitative dynamics of stem water soluble carbohydrates in wheat can be monitored in the field using hyperspectral reflectance.

Leaf mesophyll conductance and leaf hydraulic conductance: an introduction to their measurement and coordination. ADEL-maize: an L-system based model for the integration of growth processes from the organ to the canopy. Application to regulation of morphogenesis by light availability. Spatiotemporal coordination of cell division and growth during organ morphogenesis. A robot-based platform to measure multiple enzyme activities in Arabidopsis using a set of cycling assays: comparison of changes of enzyme activities and transcript levels during diurnal cycles and in prolonged darkness.

Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis. Genomic analysis of hybrid rice varieties reveals numerous superior alleles that contribute to heterosis. Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations. Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces.

Identification and functional analysis of a locus for improvement of lodging resistance in rice. Improving photosynthesis and crop productivity by accelerating recovery from photoprotection. Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions. The composition of root exudates from two different resistant peanut cultivars and their effects on the growth of soil-borne pathogen. High-yielding cultural techniques of super hybrid rice YLY yielded We need winners in the race to increase photosynthesis in rice, whether from conventional breeding, biotechnology or both.

Meeting the global food demand of the future by engineering crop photosynthesis and yield potential. Crops in silico : generating virtual crops using an integrative and multi-scale modeling platform. APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification.

Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity. Marker-assisted selection for disease resistance in wheat and barley breeding. Molecular plant breeding as the foundation for 21st century crop improvement. Breaking the yield barrier. Proceedings of a workshop on rice yield potential in favourable environments. Rapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography.

OpenSimRoot: widening the scope and application of root architectural models. Breeding high-yield superior quality hybrid super rice by rational design. Marker-assisted selection to improve drought adaptation in maize: the backcross approach, perspectives, limitations, and alternatives.

Engineering quantitative trait variation for crop improvement by genome editing. Over-expressing the C 3 photosynthesis cycle enzyme sedoheptulose bisphosphatase improves photosynthetic carbon gain and yield under fully open air CO 2 fumigation FACE. Use of crop simulation modelling to aid ideotype design of future cereal cultivars. Measurement of leaf hydraulic conductance and stomatal conductance and their responses to irradiance and dehydration using the evaporative flux method EFM.

Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature. Possibility of increasing yield potential of rice by reducing panicle height in the canopy. Canopy photosynthesis and yield of isogenic lines. Pyramiding three bacterial blight resistance genes xa5, xa13 and Xa21 using marker-assisted selection into indica rice cultivar PR The impact of modifying photosystem antenna size on canopy photosynthetic efficiency.

A new canopy photosynthesis and transpiration measurement system CAPTS for canopy gas exchange research. Optimal crop canopy architecture to maximise canopy photosynthetic CO 2 uptake under elevated CO 2 - a theoretical study using a mechanistic model of canopy photosynthesis. Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change.

Inverse problem theory. Methods for data fitting and model parameter estimation.

Tackling Plant Meiosis: From Model Research to Crop Improvement

Modelling phloem transport within a pruned dwarf bean: a 2-sourcesink system. Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice. High-throughput transcriptome analysis of barley Hordeum vulgare exposed to excessive boron. Establishment of integrated protocols for automated high throughput kinetic chlorophyll fluorescence analyses. The use of plant models in deep learning: an application to leaf counting in rosette plants.

Quantitative 3D analysis of plant roots growing in soil using magnetic resonance imaging. Development of a three-dimensional ray-tracing model of sugarcane canopy photosynthesis and its application in assessing impacts of varied row spacing. Robust phenotyping strategies for evaluation of stem non-structural carbohydrates NSC in rice. Rice morphogenesis and plant architecture: measurement, specification and the reconstruction of structural development by 3D architectural modelling.

The influence of leaf anatomy on the internal light environment and photosynthetic electron transport rate: exploration with a new leaf ray tracing model. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Post-anthesis development of inferior and superior spikelets in rice in relation to abscisic acid and ethylene.


High-throughput phenotyping of maize leaf physiology and biochemistry using hyperspectral reflectance. Crop modeling, QTL mapping, and their complementary role in plant breeding. Simultaneous improvement for four quality traits of Zhenshan 97, an elite parent of hybrid rice, by molecular marker-assisted selection. Optimizing the distribution of resources between enzymes of carbon metabolism can dramatically increase photosynthetic rate: a numerical simulation using an evolutionary algorithm. Plants in silico: why, why now and what?

The slow reversibility of photosystem II thermal energy dissipation on transfer from high to low light may cause large losses in carbon gain by crop canopies: a theoretical analysis. This would have the potential to accelerate breeding of the next generation of crops required to meet the challenges of food security and climate change. Search site. International students Continuing education Executive and professional education Courses in education.

Tackling Plant Meiosis: From Model Research to Crop Improvement

Research at Cambridge. Genetic engineering of super-recombining plants to accelerate crop improvement. Strain improvement of oleaginous microalgae. Lenny de Jaeger. References Publications referenced by this paper. Lotus japonicus metabolic profiling.


Development of gas chromatography-mass spectrometry resources for the study of plant-microbe interactions. Legume natural products: understanding and manipulating complex pathways for human and animal health. Richard A.


Dixon , Lloyd W. LysM domain receptor kinases regulating rhizobial Nod factor-induced infection. Hongyan Zhu , Steven B. Cannon , Nevin D.

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