Submitted:
23 July 2025
Posted:
25 July 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methodology
3. Effects of Elevated CO2 (eCO2)
3.1. Yield and Biomass
3.2. Protein and Gluten
3.3. Micronutrients and Amino Acids
4. Effects of Elevated Temperature and Heat Stress
4.1. Grain Size and Starch Content
4.2. Protein Composition and Gluten Quality
4.3. Interactions with Phenology and Diseases
5. Combined and Drought Stresses
5.1. eCO2 + Heat or Drought
5.2. Field Variability and Genotype × Environment Effects
6. Physiochemical and Rheological Changes
6.1. Starch Structure
6.2. Dough Rheology & Baking Performance
7. Nutritional Impacts
8. Adaptation Strategies
8.1. Breeding for Resilience
8.2. Agronomic Interventions & Blending
9. Gaps and Limitations

- Limited Long-Term Field Data: Most studies are short-term or conducted in controlled environments. There is a scarcity of long-duration, multi-location field studies capturing the cumulative effects of climate stresses under real-world conditions.

- Genotype-Specific Data: There is inadequate information on how diverse wheat genotypes differentially respond to combined CO2, heat, and drought stress, particularly regarding grain quality traits.

- Nutritional Bioavailability: Many studies report on total nutrient content but overlook bioavailability, especially in relation to anti-nutritional factors such as phytate.

- Insufficient Integration of Omics Approaches: Few studies link transcriptomics, proteomics, or metabolomics with grain quality under climate stress conditions.

- Adaptation Strategy Evaluation: Comprehensive evaluations of breeding and agronomic adaptation strategies under integrated climate scenarios are limited.
10. Conclusions and Future Recommendations
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- Climate change presents a complex challenge to maintaining both the yield and nutritional quality of bread wheat. Elevated CO2 and high temperatures alter the balance of starch and protein, reduce mineral content, and weaken dough quality. The interaction of genotype, environment, and management practices determines the severity of these effects. Future research should focus on multi-stress field evaluations, nutritionally enhanced genotypes, and integrative adaptation strategies that safeguard wheat’s role in food and nutrition security.
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- Multi-Stress Field Trials: Encourage region-specific, long-term, multi-stress trials under real agronomic conditions.
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- Nutrient Bioavailability Focus: Integrate mineral bioavailability assessments alongside total content measurements.
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- G×E×M Interaction Analysis: Study genotype × environment × management (G×E×M) interactions for developing holistic solutions.
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- Advanced Molecular Breeding: Use high-throughput genotyping, CRISPR, and omics tools to develop climate-resilient, nutrient-dense wheat cultivars.
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- Policy-Research Integration: Align breeding and agronomic interventions with national nutrition and climate resilience policies.
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- : Ethics declaration:
Funding Statement
Ethics Declaration
Data Availability Statement
Acknowledgment
Conflict of Interest
References
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| No | Study | CO₂ Level (ppm) | Wheat Variety | Location | Key Findings on Protein | Key Findings on Minerals | Notes |
|---|---|---|---|---|---|---|---|
| 1 | Högy & Fangmeier (2008) | 550 | cv. Batis | Germany | ↓ 7–15% protein | ↓ Fe (4–10%), ↓ Zn (6–13%) | Decline due to N-dilution effect |
| 2 | Myers et al. (2014) | 546 ± 47 | Multiple | Multi-country | ↓ 6.3% protein | ↓ Fe (4%), ↓ Zn (9%), ↓ Mg | Meta-analysis of 7 FACE sites |
| 3 | Fernando et al. (2012) | 570 | cv. Yitpi | Australia | ↓ ~10% protein | ↓ Zn, ↓ Fe, ↓ S | Protein dilution consistent with yield gain |
| 4 | Uddin et al. (2021) | 600 | cv. Baj | Pakistan | ↓ 9.1% protein | ↓ Zn, ↓ Fe, ↓ Ca | Strong genotype × CO₂ interaction |
| 5 | Broberg et al. (2017) | 550–575 | Various | Meta-analysis | ↓ 7% protein | ↓ Zn (3–12%), ↓ Fe (2–9%) | Crop quality compromised despite yield gains |
| 6 | Zhao et al. (2018) | 550 | Multiple | China | ↓ Protein content | ↓ Zn (5.1%), ↓ Fe (4.2%) | Long-term FACE trials showed consistent trends |
| 7 | Fitzgerald et al. (2016) | 550 | cv. Janz | Australia | ↓ 5–8% protein | ↓ Zn, ↓ Fe | Reduction varied across growth stages |
| 8 | Bourgault et al. (2020) | 600 | cv. Mace | Australia | ↓ 10% protein | ↓ Micronutrient density | Interaction with nitrogen fertilization observed |
| 9 | Zhang et al. (2022) | 550 | Multiple | China | ↓ Total N/protein | ↓ Ca, ↓ Mg, ↓ Zn | Varied responses by cultivar |
| No | Field | Description | Data Type | Examples / Notes |
|---|---|---|---|---|
| 1 | Study ID | Unique ID for each article | Alphanumeric | e.g., S01, S02…S70 |
| 2 | Author(s) | First author + et al. | Text | e.g., “Myers et al.” |
| 3 | Publication Year | Year of publication | Numeric | 2010–2024 |
| 4 | Journal | Publication source | Text | e.g., Global Change Biology, Field Crops Research |
| 5 | Country / Region | Location of study | Text | e.g., Australia, China, Ethiopia |
| 6 | Climate Stress Factor(s) | Main environmental variables tested | Categorical | eCO₂, Heat, Drought, eCO₂+Heat, eCO₂+Drought |
| 7 | Experimental Type | Field, FACE, Growth chamber, Greenhouse | Categorical | FACE preferred for realism |
| 8 | CO₂ Concentration (ppm) | CO₂ levels used in elevated treatments | Numeric | 500–700 ppm |
| 9 | Temperature Stress (°C) | Degree and duration of heat exposure | Numeric | e.g., +4°C for 10 days |
| 10 | Water Availability | Irrigated, Rainfed, Drought-simulated | Categorical | Drought intensity/duration also noted |
| 11 | Genotype / Cultivar | Name(s) of wheat varieties used | Text | e.g., Janz, Yitpi, Mace, Pavon 76 |
| 12 | Growth Stage Exposed | Stage when stress applied | Categorical | Anthesis, Grain filling, Whole season |
| 13 | Grain Yield (t/ha) | Reported yield under control vs. stress | Numeric | Mean and SD |
| 14 | Protein Content (%) | Grain protein % dry weight | Numeric | Includes changes (↑/↓) |
| 15 | Gluten Quality | Functional gluten metrics | Text/Numeric | SDS sedimentation, dough strength |
| 16 | Micronutrients | Zn, Fe, Ca, Mg, P content | Numeric | mg/kg or ppm; includes direction of change |
| 17 | Phytate Levels | If reported | Numeric/Text | % or mg/g; linked to bioavailability |
| 19 | Statistical Significance | Whether changes were statistically significant | Boolean | Yes / No |
| 20 | G×E Interaction Reported | Genotype × Environment noted? | Boolean | Yes / No |
| 21 | Main Conclusions | Key summary of findings | Text | e.g., “eCO₂ reduced Zn, Fe despite yield gain” |
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