ArticleAnnals of botany2013
Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO(2) concentration on crop productivity.
Article in Annals of botany, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Rising atmospheric carbon dioxide concentrations increase gaps of rice yields between low- and middle-to-high-income countries.Nature food · 2024Pooled it
- COPlants (Basel, Switzerland) · 2026Review
- Variation in the Respiration-to-Photosynthesis Ratio of Chinese Fir Saplings Is Associated with Foliar Non-Structural Carbohydrates.Plants (Basel, Switzerland) · 2026Article
- Triose phosphate utilization in leaves is modulated by whole-plant sink-source ratios and nitrogen budgets in rice.Journal of experimental botany · 2023Article
- Neglecting acclimation of photosynthesis under drought can cause significant errors in predicting leaf photosynthesis in wheat.Global change biology · 2023Article
- Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding.Plant phenomics (Washington, D.C.) · 2023Review
- Three new methods indicate that COAoB PLANTS · 2021Article
- Photosynthesis in a Changing Global Climate: Scaling Up and Scaling Down in Crops.Frontiers in plant science · 2020Review
- Substantial differences occur between canopy and ambient climate: Quantification of interactions in a greenhouse-canopy system.PloS one · 2020Article
- Assessing the impact of global climate changes on irrigated wheat yields and water requirements in a semi-arid environment of Morocco.Scientific reports · 2019Article
- Novel multimodel ensemble approach to evaluate the sole effect of elevated COScientific reports · 2019Article
- Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields.Journal of experimental botany · 2019Article
- Improving the use of crop models for risk assessment and climate change adaptation.Agricultural systems · 2018Article
- Causes of variation among rice models in yield response to COScientific reports · 2017Article
- Can the Responses of Photosynthesis and Stomatal Conductance to Water and Nitrogen Stress Combinations Be Modeled Using a Single Set of Parameters?Frontiers in plant science · 2017Article
- Article
- Impact of climate change on crop yield and role of model for achieving food security.Environmental monitoring and assessment · 2016Article
- Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.Annals of botany · 2014Article
- Constructing a framework for risk analyses of climate change effects on the water budget of differently sloped vineyards with a numeric simulation using the Monte Carlo method coupled to a water balance model.Frontiers in plant science · 2014Article
- Comment on 'improving ecophysiological simulation models to predict the impact of elevated CO(2) concentration on crop productivity' by X. Yin.Annals of botany · 2013Article
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No grant is acknowledged in the PubMed record.
Abstract
backgroundProcess-based ecophysiological crop models are pivotal in assessing responses of crop productivity and designing strategies of adaptation to climate change. Most existing crop models generally over-estimate the effect of elevated atmospheric [CO2], despite decades of experimental research on crop growth response to [CO2]. ANALYSIS: A review of the literature indicates that the quantitative relationships for a number of traits, once expressed as a function of internal plant nitrogen status, are altered little by the elevated [CO2]. A model incorporating these nitrogen-based functional relationships and mechanisms simulated photosynthetic acclimation to elevated [CO2], thereby reducing the chance of over-estimating crop response to [CO2]. Robust crop models to have small parameterization requirements and yet generate phenotypic plasticity under changing environmental conditions need to capture the carbon-nitrogen interactions during crop growth.
conclusionsThe performance of the improved models depends little on the type of the experimental facilities used to obtain data for parameterization, and allows accurate projections of the impact of elevated [CO2] and other climatic variables on crop productivity.
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