Effects of elevated CO2 on the growth, seed yield, and water use efficiency of soybean (Glycine max (L.) Merr.) under drought stress

Li, Dongxiao; Liu, Huiling; Qiao, Yu; Wang, Youning; Cai, Zhongyin; Dong, Baodi; Shi, Changhai; Liu, Yueyan; Li, Xia; Liu, Mengyu

doi:10.1016/j.agwat.2013.07.014

Cited by 83 publications

(36 citation statements)

References 49 publications

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“…The present work confirmed the results of Li et al. (), as enhanced atmospheric CO 2 concentration was found to improve WUE to the greatest extent in the case of optimum water supplies. In field experiments Kang et al.…”

Section: Discussionsupporting

confidence: 92%

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Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Varga

Vida

Varga-László

et al. 2016

J Agronomy Crop Science

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The decline in the amount of water available to plants will lend growing importance to the dynamics of water uptake and to water use efficiency (WUE; g kg−1) in cereals. Water use properties were investigated in terms of the phenological and yield parameters of five winter wheat genotypes in a greenhouse experiment carried out in climate‐controlled chambers. The plants were grown either with optimum water supplies or with simulated drought in two phenophases, combined with different CO2 concentrations (ambient and enriched to 700 and 1000 ppm). Multivariate analysis showed that the CO2 concentration alone significantly influenced water use and water use efficiency but in combination with the cultivars, it also had a significant influence on the grain yield and in a combination with the water supply on the straw biomass, respectively. Higher CO2 concentration significantly reduced the water uptake and improved the WUE values in both the drought treatments. All three factors investigated were found to have a significant influence on the water consumption during the growing season, and the interaction between CO2 and the cultivar influenced WUE. The least change in WUE was detected for Bánkúti 1201 (1.35–1.86 g kg−1), while Mv Mambó, Plainsman V and Mv Toborzó formed a group responding similarly to various environmental effects (1.85–2.55 g kg−1; 1.57–2.34 g kg−1 and 1.45–2.24 g kg−1, respectively).

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Section: Discussionsupporting

confidence: 92%

“…Li et al. () reported that elevated atmospheric CO 2 concentration stimulated the growth of soybean plants and improved their WUE values, especially in the case of normal water supplies, but the high gas concentration was not found to improve the stress tolerance of the plants. The present work confirmed the results of Li et al.…”

Section: Discussionmentioning

confidence: 99%

Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Varga

Vida

Varga-László

et al. 2016

J Agronomy Crop Science

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“…We determined that the model could reproduce yield responses to these climate variables reasonably well. The results are consistent with other studies on soybean responses to different climate variables (Alagarswamy et al, 2006;Li et al, 2013;Roberto et al, 2006).…”

Section: Methodssupporting

confidence: 83%

Simulation of CO2 enrichment and climate change impacts on soybean production

Fu¹,

Ha²,

Ko³

2016

International Agrophysics

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A b s t r a c t. The potential doubling of atmospheric CO 2 concentration and associated changes in temperature and precipitation are crucial issues for agricultural productivity. The CROPGROSoybean model in decision support system for agro-technology transfer v4.5 to simulate soybean (Glycine max cv. Pioneer 93B15) grown in an elevated CO 2 environment was calibrated and validated. Crop growth and yield data were obtained from a series of experiments conducted in central Illinois at the soybean free air CO 2 enrichment facility from 2002 to 2006. The model was applied to simulate the possible impacts of climate change on soybean yield in the region for the future years of 2080-2100, centred on 2090. The model reproduced the measured soybean growth and yield well under ambient and elevated CO 2 conditions. For the period from 2081 to 2100, soybean yield was projected to decrease due to elevated temperature but to increase due to elevated precipitation and CO 2 concentration, achieving counterbalance. The adverse impacts of the warming conditions on soybean yield can be mitigated by late planting within an optimum planting range (day of year 145 to 152) as a management option, as well as by controlling genetic responses to thermal days in the reproductive stage.

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“…Both error and variation decreased with increasing number of models in an ensemble, although no further declines were observed after at least ten models were randomly included. Uncertainty among models with respect to climate change factors varied according to site and crop management and increased with higher T. Strikingly similar results were observed with other cereal crops by the AgMIP Maize Pilot (Bassu et al ., ) and the AgMIP Rice Pilot (Li et al ., ) except that both pilots measured increased variability among models with increasing C as well as T. Marin et al . () made similar recommendations with respect to sugarcane and climate change; however, only two models were compared.…”

Section: Introductionmentioning

confidence: 76%

A potato model intercomparison across varying climates and productivity levels

Fleisher

Condori

Quiroz

et al. 2016

Global Change Biology

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A potato crop multimodel assessment was conducted to quantify variation among models and evaluate responses to climate change. Nine modeling groups simulated agronomic and climatic responses at low-input (Chinoli, Bolivia and Gisozi, Burundi)- and high-input (Jyndevad, Denmark and Washington, United States) management sites. Two calibration stages were explored, partial (P1), where experimental dry matter data were not provided, and full (P2). The median model ensemble response outperformed any single model in terms of replicating observed yield across all locations. Uncertainty in simulated yield decreased from 38% to 20% between P1 and P2. Model uncertainty increased with interannual variability, and predictions for all agronomic variables were significantly different from one model to another (P < 0.001). Uncertainty averaged 15% higher for low- vs. high-input sites, with larger differences observed for evapotranspiration (ET), nitrogen uptake, and water use efficiency as compared to dry matter. A minimum of five partial, or three full, calibrated models was required for an ensemble approach to keep variability below that of common field variation. Model variation was not influenced by change in carbon dioxide (C), but increased as much as 41% and 23% for yield and ET, respectively, as temperature (T) or rainfall (W) moved away from historical levels. Increases in T accounted for the highest amount of uncertainty, suggesting that methods and parameters for T sensitivity represent a considerable unknown among models. Using median model ensemble values, yield increased on average 6% per 100-ppm C, declined 4.6% per °C, and declined 2% for every 10% decrease in rainfall (for nonirrigated sites). Differences in predictions due to model representation of light utilization were significant (P < 0.01). These are the first reported results quantifying uncertainty for tuber/root crops and suggest modeling assessments of climate change impact on potato may be improved using an ensemble approach.

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Effects of elevated CO2 on the growth, seed yield, and water use efficiency of soybean (Glycine max (L.) Merr.) under drought stress

Cited by 83 publications

References 49 publications

Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Simulation of CO2 enrichment and climate change impacts on soybean production

A potato model intercomparison across varying climates and productivity levels

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Effects of elevated CO2 on the growth, seed yield, and water use efficiency of soybean (Glycine max (L.) Merr.) under drought stress

Cited by 83 publications

References 49 publications

Combined Effect of Drought Stress and Elevated Atmospheric CO2 Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Combined Effect of Drought Stress and Elevated Atmospheric CO2 Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Simulation of CO2 enrichment and climate change impacts on soybean production

A potato model intercomparison across varying climates and productivity levels

Contact Info

Product

Resources

About

Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes

Combined Effect of Drought Stress and Elevated Atmospheric CO₂ Concentration on the Yield Parameters and Water Use Properties of Winter Wheat (Triticum aestivum L.) Genotypes