Comprehensive evaluation of factors influencing selenium fertilization biofortification
Comprehensive evaluation of factors influencing selenium fertilization biofortification
Huang et al., 2024 | J Sci Food Agric | Meta Analysis
Citation
Huang Ruilin, Bañuelos Gary S, ... Shen Lidong. Comprehensive evaluation of factors influencing selenium fertilization biofortification. J Sci Food Agric. 2024-Aug-15;104(10):6100-6107. doi:10.1002/jsfa.13442
Abstract
BACKGROUND: Dietary selenium (Se) deficiency, stemming from low Se concentrations in agricultural products, threatens human health. While Se-containing fertilizers can enhance the Se content in crops, the key factors governing Se biofortification with Se fertilization remain unclear. RESULTS: This study constructed a global meta-analysis dataset based on field experiments comprising 364 entries on Se content in agricultural products and 271 entries on their yield. Random forest models and mixed effects meta-analyses revealed that plant types (i.e., cereals, vegetables, legumes, and forages) primarily influenced Se biofortification, with Se fertilization rates being the next significant factor. The random forest model, which included variables like plant types, Se fertilization rates, methods and types of Se application, initial soil conditions (including Se content, organic carbon content, and pH), soil types, mean annual precipitation, and temperature, explained 82.14% of the variation in Se content and 48.42% of the yield variation in agricultural products. For the same agricultural products, the increase in Se content decreased with higher rates of Se fertilization. The increase in Se content in their edible parts will be negligible for cereals, forages, legumes, and vegetable crops, when Se fertilization rates were 164, 103, 144, and 147 g Se ha-1, respectively. Conversely, while low Se fertilization rates enhanced yields, high rates led to a yield reduction, particularly in cereals. CONCLUSION: Our findings highlight the need for balanced and precise Se fertilization strategies to optimize Se biofortification benefits and minimize the risk of yield reduction. © 2024 Society of Chemical Industry.
Key Findings
This study constructed a global meta-analysis dataset based on field experiments comprising 364 entries on Se content in agricultural products and 271 entries on their yield. Random forest models and mixed effects meta-analyses revealed that plant types (i.e., cereals, vegetables, legumes, and forages) primarily influenced Se biofortification, with Se fertilization rates being the next significant factor. The random forest model, which included variables like plant types, Se fertilization rates,
Outcomes Measured
- Requires manual extraction
Population
| Field | Value |
|---|---|
| Population | See abstract |
| Sample Size | See abstract |
| Age Range | See abstract |
| Condition | deficiency |
MeSH Terms
- Biofortification
- Crops, Agricultural
- Edible Grain
- Fabaceae
- Fertilizers
- Selenium
- Soil
- Vegetables
Evidence Classification
- Level: Meta Analysis
- Publication Types: Journal Article, Meta-Analysis
- Vertical: selenium
Provenance
- PMID: 38445779
- DOI: 10.1002/jsfa.13442
- PMCID: Not in PMC
- Verified: 2026-04-09 via PubMed E-utilities API
Source extracted via PubMed E-utilities API on 2026-04-09