Wang Sheng, Liu Qi, Liu Zhizong, Chen Wen, Zhao Xuanyue, Zhang Jilai, Bao Li, Zhang Naiming
College of Plant Protection, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Yunnan Soil Fertility and Pollution Remediation Engineering Research Center, Kunming, 650201, Yunnan, China.
Sci Rep. 2024 Jul 23;14(1):16923. doi: 10.1038/s41598-024-67450-7.
To investigate the distribution characteristics of selenium (Se) in mountainous soil-crop systems and examine the threshold value of Se-rich soil, 275 soil samples and 153 associated crop samples (rice, maize, tea, nuts, konjac, mushrooms, buckwheat, and coffee) were collected in Ximeng County, a typical mountainous area in southwest China. The total Se, available Se, organic matter, pH, sampling point elevation, and crop Se content were analyzed to examine the distribution characteristics of soil Se and the ability of primary crops to enrich Se in Ximeng County. Random forest and multiple regression models were established to identify the factors influencing the available soil Se and the crop Se enrichment coefficient. Finally, the Se-rich soil threshold was examined based on the total Se, available Se, and Se content in primary crops (rice, maize, and tea). The results showed soil Se resource abundance in the study region, with high Se soil accounting for 64.72% of the entire area. The soil Se content displayed significant spatial autocorrelation. The average Se enrichment coefficient of the main cultivated crops included mushrooms > nuts > rice > coffee > tea > maize > buckwheat > konjac. The total Se content in the soil had the highest impact on the available Se content in the soil and the Se enrichment coefficient of crops. A Se-rich soil threshold of 0.3 mg·kg was used for rice and maize, while that of tea was 0.4 mg·kg. This result provided a theoretical basis for developing and utilizing Se resources in mountainous soil in southwestern China and dividing the Se-rich soil threshold.
为研究山区土壤 - 作物系统中硒(Se)的分布特征并确定富硒土壤的阈值,在中国西南部典型山区西盟县采集了275个土壤样本和153个相关作物样本(水稻、玉米、茶叶、坚果、魔芋、蘑菇、荞麦和咖啡)。分析了土壤全硒、有效硒、有机质、pH值、采样点海拔以及作物硒含量,以研究西盟县土壤硒的分布特征和主要作物的富硒能力。建立随机森林和多元回归模型来识别影响土壤有效硒和作物硒富集系数的因素。最后,基于全硒、有效硒以及主要作物(水稻、玉米和茶叶)中的硒含量来确定富硒土壤阈值。结果表明,研究区域土壤硒资源丰富,高硒土壤占整个区域的64.72%。土壤硒含量呈现出显著的空间自相关性。主要种植作物的平均硒富集系数为蘑菇>坚果>水稻>咖啡>茶叶>玉米>荞麦>魔芋。土壤全硒含量对土壤有效硒含量和作物硒富集系数的影响最大。水稻和玉米的富硒土壤阈值为0.3 mg·kg,茶叶的富硒土壤阈值为0.4 mg·kg。该结果为中国西南部山区土壤硒资源的开发利用及富硒土壤阈值划分提供了理论依据。