Soil quality index;
Soil quality indicators;
Minimum data set;
Principal component analysis (PCA);
MINIMUM DATA SET;
MANAGEMENT;
YIELD;
D O I:
10.1016/j.still.2012.07.011
中图分类号:
S15 [土壤学];
学科分类号:
0903 ;
090301 ;
摘要:
The hilly red soil region of subtropical China is a major rice producing area, where over-exploitation and non-agricultural uses of paddy soils have decreased soil quality and rice productivity. Our objectives were to develop and evaluate a soil quality assessment protocol for Yujiang County in Jiangxi Province. A variety of soil samples, representing the spatial homogeneity in 114 paddy fields, were collected and analyzed for several chemical and physical properties. Pearson correlation analysis between rice yield and the various soil properties was used to identify potential soil quality indicators. Principal component analysis (PCA) was then used to group the indicators into appropriate soil quality factors. A minimum data set (MDS) including soil organic matter, available nitrogen, available phosphorus, slowly available potassium and sand content accounted for 77.9% of the quality variation among soils. A soil quality index (SQI) was calculated using the Integrated Quality Index (IQI) equation. Significant correlation between the SQL and rice yield indicated the index had high biological significance for Jiangxi province and other paddy areas with similar soils. (C) 2012 Elsevier B.V. All rights reserved.
机构:
Tsinghua Univ, Inst Hosp Management, Tsinghua Shenzhen Int Grad Sch, 2279 Lishui Rd, Shenzhen 518055, Peoples R ChinaTsinghua Univ, Inst Hosp Management, Tsinghua Shenzhen Int Grad Sch, 2279 Lishui Rd, Shenzhen 518055, Peoples R China
Lin, Qian
论文数: 引用数:
h-index:
机构:
Hao, Horng-Shuh
Qin, Deqing
论文数: 0引用数: 0
h-index: 0
机构:
Dongguan Songshan Lake North Dist Sch, Songshan Lake Management Comm, 24 Gongye West Rd, Dongguan 523803, Guangdong, Peoples R ChinaTsinghua Univ, Inst Hosp Management, Tsinghua Shenzhen Int Grad Sch, 2279 Lishui Rd, Shenzhen 518055, Peoples R China
Qin, Deqing
Zhang, Dan
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Inst Hosp Management, Tsinghua Shenzhen Int Grad Sch, 2279 Lishui Rd, Shenzhen 518055, Peoples R ChinaTsinghua Univ, Inst Hosp Management, Tsinghua Shenzhen Int Grad Sch, 2279 Lishui Rd, Shenzhen 518055, Peoples R China