We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Comprehensive evaluation of factors influencing selenium fertilization biofortification.
- Authors
Huang, Ruilin; Bañuelos, Gary S.; Zhao, Jianrong; Wang, Zhangmin; Farooq, Muhammad Raza; Yang, Yuling; Song, Jiaping; Zhang, Zezhou; Chen, Youtao; Yin, Xuebin; Shen, Lidong
- 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.
- Subjects
SOCIETY of Chemical Industry (Great Britain); SELENIUM; BIOFORTIFICATION; FARM produce; RANDOM forest algorithms; FIELD research; SOIL classification; MIXED forests
- Publication
Journal of the Science of Food & Agriculture, 2024, Vol 104, Issue 10, p6100
- ISSN
0022-5142
- Publication type
Article
- DOI
10.1002/jsfa.13442