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Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field

Clinical infectious diseases, 2019-01, Vol.363 (6422), p.eaat9077-eaat9077

2019

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In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management

Journal of experimental botany, 2015-06, Vol.66 (12), p.3581-3598

2015

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Using the Expolinear Growth Equation for Modelling Crop Growth in Year‐round Cut Chrysanthemum

Annals of botany, 2003-11, Vol.92 (5), p.697-708

2003

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Use of crop simulation modelling to aid ideotype design of future cereal cultivars

Journal of experimental botany, 2015-06, Vol.66 (12), p.3463-3476

2015

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Evaluation of a Dynamic Simulation Model for Tomato Crop Growth and Development

Annals of botany, 1999-04, Vol.83 (4), p.413-422

HEUVELINK, E.

1999

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Inoculation of pqqE gene inhabiting Pantoea and Pseudomonas strains improves the growth and grain yield of wheat with a reduced amount of chemical fertilizer

Journal of applied microbiology, 2020-09, Vol.129 (3), p.575-589

2020

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Bacillus cereus MH778713 elicits tomato plant protection against Fusarium oxysporum

Journal of applied microbiology, 2022-01, Vol.132 (1), p.470-482

2022

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The Influence of Climate Change on Global Crop Productivity

Plant physiology (Bethesda), 2012-12, Vol.160 (4), p.1686-1697

2012

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N uptake and distribution in crops: an agronomical and ecophysiological perspective

Journal of experimental botany, 2002-04, Vol.53 (370), p.789-799

2002

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Root plasticity under abiotic stress

Plant physiology (Bethesda), 2021-11, Vol.187 (3), p.1057-1070

2021

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Gibberellin Metabolism and Signaling: Targets for Improving Agronomic Performance of Crops

Plant and cell physiology, 2020-12, Vol.61 (11), p.1902-1911

2020

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Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops

Journal of experimental botany, 2010-05, Vol.61 (8), p.2185-2202

2010

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Can increased leaf photosynthesis be converted into higher crop mass production? A simulation study for rice using the crop model GECROS

Journal of experimental botany, 2017-04, Vol.68 (9), p.2345-2360

2017

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Transporter SlSWEET15 unloads sucrose from phloem and seed coat for fruit and seed development in tomato

Plant physiology (Bethesda), 2021-12, Vol.187 (4), p.2230-2245

2021

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Opportunities and challenges in the subsoil: pathways to deeper rooted crops

Journal of experimental botany, 2015-04, Vol.66 (8), p.2199-2210

2015

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Integrating pests and pathogens into the climate change/food security debate

Journal of Experimental Botany, 2009-07, Vol.60 (10), p.2827-2838

2009

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Use of the Expolinear Growth Model to Analyse the Growth of Faba bean, Peas and Lentils at Three Densities: Fitting the Model

Annals of botany, 1998-10, Vol.82 (4), p.497-505

1998

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Waterproofing Crops: Effective Flooding Survival Strategies

Plant physiology (Bethesda), 2012-12, Vol.160 (4), p.1698-1709

2012

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How can we make plants grow faster? A source–sink perspective on growth rate

Journal of experimental botany, 2016-01, Vol.67 (1), p.31-45

2016

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genetic basis of fruit morphology in horticultural crops: lessons from tomato and melon

Journal of experimental botany, 2014-08, Vol.65 (16), p.4625-4637

2014

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Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

Plant physiology (Bethesda), 2021-11, Vol.187 (3), p.1551-1576

2021

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How much does agriculture depend on pollinators? Lessons from long-term trends in crop production

Annals of botany, 2009-06, Vol.103 (9), p.1579-1588

2009

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Controlling crop diseases using induced resistance: challenges for the future

Journal of experimental botany, 2013-03, Vol.64 (5), p.1263-1280

2013

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Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis

The Plant cell, 2014-12, Vol.26 (12), p.4636-4655

2014

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Maximizing root/rhizosphere efficiency to improve crop productivity and nutrient use efficiency in intensive agriculture of China

Journal of experimental botany, 2013-03, Vol.64 (5), p.1181-1192

2013

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Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field

In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management

Using the Expolinear Growth Equation for Modelling Crop Growth in Year‐round Cut Chrysanthemum

Use of crop simulation modelling to aid ideotype design of future cereal cultivars

Evaluation of a Dynamic Simulation Model for Tomato Crop Growth and Development

Inoculation of pqqE gene inhabiting Pantoea and Pseudomonas strains improves the growth and grain yield of wheat with a reduced amount of chemical fertilizer

Bacillus cereus MH778713 elicits tomato plant protection against Fusarium oxysporum

The Influence of Climate Change on Global Crop Productivity

N uptake and distribution in crops: an agronomical and ecophysiological perspective

Root plasticity under abiotic stress

Gibberellin Metabolism and Signaling: Targets for Improving Agronomic Performance of Crops

Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops

Can increased leaf photosynthesis be converted into higher crop mass production? A simulation study for rice using the crop model GECROS

Transporter SlSWEET15 unloads sucrose from phloem and seed coat for fruit and seed development in tomato

Opportunities and challenges in the subsoil: pathways to deeper rooted crops

Integrating pests and pathogens into the climate change/food security debate

Use of the Expolinear Growth Model to Analyse the Growth of Faba bean, Peas and Lentils at Three Densities: Fitting the Model

Waterproofing Crops: Effective Flooding Survival Strategies

How can we make plants grow faster? A source–sink perspective on growth rate

genetic basis of fruit morphology in horticultural crops: lessons from tomato and melon

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

How much does agriculture depend on pollinators? Lessons from long-term trends in crop production

Controlling crop diseases using induced resistance: challenges for the future

Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis

Maximizing root/rhizosphere efficiency to improve crop productivity and nutrient use efficiency in intensive agriculture of China

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