School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China.
College of Resource and Environment, Anhui Science and Technology University, Chuzhou, China.
J Sci Food Agric. 2024 Aug 15;104(10):6100-6107. doi: 10.1002/jsfa.13442. Epub 2024 Mar 15.
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.
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, respectively. Conversely, while low Se fertilization rates enhanced yields, high rates led to a yield reduction, particularly in cereals.
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.
农产品中硒(Se)浓度低导致的膳食硒缺乏威胁着人类健康。含硒肥料可以提高作物中的硒含量,但硒施肥促进硒生物强化的关键因素仍不清楚。
本研究基于田间试验构建了一个全球荟萃分析数据集,其中包括 364 个农产品硒含量和 271 个产量条目。随机森林模型和混合效应荟萃分析表明,植物类型(即谷物、蔬菜、豆类和饲料)主要影响硒生物强化,而硒施肥率是下一个重要因素。随机森林模型包括植物类型、硒施肥率、硒施用方法和类型、初始土壤条件(包括硒含量、有机碳含量和 pH 值)、土壤类型、年平均降水量和温度等变量,解释了农产品硒含量变化的 82.14%和产量变化的 48.42%。对于相同的农产品,随着硒施肥率的增加,硒含量的增加会减少。对于谷物、饲料、豆类和蔬菜作物,当硒施肥率分别为 164、103、144 和 147g Se ha 时,其可食用部分的硒含量增加将微不足道。相反,虽然低硒施肥率会提高产量,但高施肥率会导致产量降低,尤其是在谷物中。
我们的研究结果强调需要采取平衡和精确的硒施肥策略,以优化硒生物强化的益处并最小化产量降低的风险。 © 2024 化学工业协会。