Pedosphere 23(5): 564--576, 2013
ISSN 1002-0160/CN 32-1315/P
©2013 Soil Science Society of China
Published by Elsevier B.V. and Science Press
Minimum data set for assessing soil quality in farmland of Northeast China
CHEN Yu-Dongjm1,2, WANG Huo-Yan1, ZHOU Jian-Min1, XING Lu1,2, ZHU Bai-Shu1,3, ZHAO Yong-Cun1 and CHEN Xiao-Qin1
1Institute of Soil Science, Chinese Academy of Science, Nanjing 210008 (China)
2University of Chinese Academy of Sciences, Beijing 100049 (China)
3Southwest University, College of Resources and Environment, Chongqing 400716 (China)
      Soil quality assessment provides a tool for agriculture managers and policy makers to gain a better understanding of how various agricultural systems affect soil resources. Soil quality of Hailun County, a typical soybean (Glycine max L. Merill) growing area located in Northeast China, was evaluated using soil quality index (SQI) methods. Each SQI was computed using a minimum data set (MDS) selected using principal components analysis (PCA) as a data reduction technique. Eight MDS indicators were selected from 20 physical and chemical soil measurements. The MDS accounted for 74.9% of the total variance in the total data set (TDS). The SQI values for 88 soil samples were evaluated with linear scoring techniques and various weight methods. The results showed that SQI values correlated well with soybean yield (r = 0.658**) when indicators in MDS were weighted by the regression coefficient computed for each yield and index. Stepwise regression between yield and principal components (PCs) indicated that available boron (AvB), available phosphorus (AvP), available potassium (AvK), available iron (AvFe) and texture were the main factors limiting soybean yield. The method used to select an MDS could not only appropriately assess soil quality but also be used as a powerful tool for soil nutrient diagnosis at the regional level.
Key Words:  norm value, principal component analysis, soil quality index, stepwise regression
Citation: Chen, Y. D., Wang, H. Y., Zhou, J. M., Xing, L., Zhu, B. S., Zhao, Y. C. and Chen, X. Q. 2013. Minimum data set for assessing soil quality in farmland of Northeast China. Pedosphere. 23(5): 564-576.
View Full Text

Copyright © 2019 Editorial Committee of PEDOSPHERE. All rights reserved.
Address: P. O. Box 821, 71 East Beijing Road, Nanjing 210008, China    E-mail:
Technical support: Beijing E-Tiller Co.,Ltd.