期刊
SOIL & TILLAGE RESEARCH
卷 155, 期 -, 页码 225-232出版社
ELSEVIER
DOI: 10.1016/j.still.2015.08.015
关键词
Soil quality evaluation; Soil quality index; Assigning indicator weights; Minimum data set; Navel orange orchards
类别
资金
- GanPo 555 Talents Program of Jiangxi Province, China
- Chinese Academy of Sciences [ISSAS Y112000016]
Soil quality evaluations based on crop yields can provide clear guidance for managing agricultural production. Navel oranges are widely cultivated around the world. However, systematic soil quality evaluations for navel orange orchards have not been reported. This study uses two weighting methods, principle component analysis (PCA) and multiple regression analysis (MRA), to evaluate the soil quality of navel orange orchards in central subtropical China. The PCA weighting method is widely used for evaluating soil quality. In contrast, the MRA weighting method, which is linked closely with crop yield, is rarely used. A variety of soil samples, representing the spatial homogeneity in 114 navel orange orchards of Xinfeng County, Jiangxi province, were collected and analyzed for 17 frequently used chemical and physical properties. Result showed that the sensitivity and accuracy of the MRA weighting method were superior to those of the PCA weighting method. Thus, the MRA weighting method was recommended for future soil quality assessments. The soil indicators retained in the minimum data set (MDS) included SUM, silt, pH, AB and AK. The MDS indicators changed with the crop and soil types. Therefore, future soil quality evaluations should be specific to the crop and soil types. Overall, the soil quality of the studied navel orange orchards was low or moderate. Thus, more efforts should be directed towards adding lime and organic, potassium (K) and boron (B) fertilizer in navel orange production management. (C) 2015 Elsevier B.V. All rights reserved.
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