Minimum Data Set for Assessing Soil Quality in Farmland of Northeast China

doi:10.1016/S1002-0160(13)60050-8

Pedosphere

Volume 23, Issue 5, October 2013, Pages 564-576

https://doi.org/10.1016/S1002-0160(13)60050-8 Get rights and content

Abstract

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.

References (53)

S.S. Andrews et al.
Designing a soil quality assessment tool for sustainable agroecosystem management
Ecol. Appl.
(2001)
S.S. Andrews et al.
Growers' perceptions and acceptance of soil quality indices
Geoderma.
(2003)
S.S. Andrews et al.
The soil management assessment framework: A quantitative soil quality evaluation method
Soil Sci. Soc. Am. J.
(2004)
S.S. Andrews et al.
A comparison of soil quality indexing methods for vegetable production systems in northern california
Agr. Ecosyst. Environ.
(2002)
S.S. Andrews et al.
On-farm assessment of soil quality in california's central valley
Agron. J.
(2002)
M.A. Arshad et al.
Identifying critical limits for soil quality indicators in agro-ecosystems
Agr. Ecosyst. Environ.
(2002)
A.K. Bhardwaj et al.
Ecological management of intensively cropped agro-ecosystems improves soil quality with sustained productivity
Agr. Ecosyst. Environ.
(2011)
L. Borůvka et al.
Forest soil acidification assessment using principal component analysis and geostatistics
Geoderma.
(2007)
J.J. Brejda et al.
Identification of regional soil quality factors and indicators: II. Northern mississippi loess hills and palouse prairie
Soil Sci. Soc. Am. J.
(2000)
Z.H. Cao et al.
Soil Quality of China
(2008)

A.C.R. de Lima et al.

Soil quality assessment in rice production systems: Establishing a minimum data set

J Environ Qual.

(2008)

A. Desbiez et al.

Perceptions and assessment of soil fertility by farmers in the mid-hills of Nepal

Agr. Ecosyst. Environ.

(2004)

Diack, M. and Stott, D. E. 2001. Development of a soil quality index for the chalmers silty clay loam from the midwest...

C.A. Ditzler et al.

Soil quality field tools of USDA-NRCS soil quality institute

Agron. J.

(2002)

J.W. Doran et al.

Defining and assessing soil quality

Z. Fatima et al.

Effect of rhizobium strains and phosphorus on growth of soybean (glycine max) and survival of rhizobium and P solubilizing bacteria

Pak. J. Bot.

(2006)

H.E. Goldbach

A critical review on current hypotheses concerning the role of boron in higher plants: Suggestions for further research and methodological requirements

J. Trace Microprobe T.

(1997)

B. Huang et al.

Environmental. Assessment of small-scale vegetable farming systems in peri-urban areas of the Yangtze River Delta Region, China

Agr. Ecosyst. Environ.

(2006)

I. Hussain et al.

Adaptation of soil quality indices and application to three tillage systems in southern illinois

Soil Till. Res.

(1999)

M.J. Imaz et al.

Soil quality indicator response to tillage and residue management on semi-arid Mediterranean cropland

Soil Till. Res.

(2010)

D.L. Karlen et al.

Soil quality: Current concepts and applications

Adv. Agron.

(2001)

D.L. Karlen et al.

Soil quality: A concept, definition, and framework for evaluation

Soil Sci. Soc. Am. J.

(1997)

D.L. Karlen et al.

Use of soil quality indicators to evaluate cconservation reserve program sites in Iowa

D.L. Karlen et al.

A preliminary watershed scale soil quality assessment in north central Iowa, USA

Soil Till. Res.

(2008)

A.A. Klingebiel et al.

Land Capability Classification

(1961)

W.E. Larson et al.

The dynamics of soil quality as a measure of sustainable management

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: Supported by the Knowledge Innovation Program of Chinese Academy of Sciences (No. KSCX1-YW-09-02), the National Basic Research Program of China (No. 2013CB127401), the National Natural Science Foundation of China (No. 41271309), and the International Plant Nutrition Institute (IPNI) China Program.

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Minimum Data Set for Assessing Soil Quality in Farmland of Northeast China

Abstract

Designing a soil quality assessment tool for sustainable agroecosystem management

Ecol. Appl.

Growers' perceptions and acceptance of soil quality indices

Geoderma.

The soil management assessment framework: A quantitative soil quality evaluation method

Soil Sci. Soc. Am. J.

A comparison of soil quality indexing methods for vegetable production systems in northern california

Agr. Ecosyst. Environ.

On-farm assessment of soil quality in california's central valley

Agron. J.

Identifying critical limits for soil quality indicators in agro-ecosystems

Agr. Ecosyst. Environ.

Ecological management of intensively cropped agro-ecosystems improves soil quality with sustained productivity

Agr. Ecosyst. Environ.

Forest soil acidification assessment using principal component analysis and geostatistics

Geoderma.

Identification of regional soil quality factors and indicators: II. Northern mississippi loess hills and palouse prairie

Soil Sci. Soc. Am. J.

Soil Quality of China

Soil quality assessment in rice production systems: Establishing a minimum data set

J Environ Qual.

Perceptions and assessment of soil fertility by farmers in the mid-hills of Nepal

Agr. Ecosyst. Environ.

Soil quality field tools of USDA-NRCS soil quality institute

Agron. J.

Defining and assessing soil quality

Effect of rhizobium strains and phosphorus on growth of soybean (glycine max) and survival of rhizobium and P solubilizing bacteria

Pak. J. Bot.

A critical review on current hypotheses concerning the role of boron in higher plants: Suggestions for further research and methodological requirements

J. Trace Microprobe T.

Environmental. Assessment of small-scale vegetable farming systems in peri-urban areas of the Yangtze River Delta Region, China

Agr. Ecosyst. Environ.

Adaptation of soil quality indices and application to three tillage systems in southern illinois

Soil Till. Res.

Soil quality indicator response to tillage and residue management on semi-arid Mediterranean cropland

Soil Till. Res.

Soil quality: Current concepts and applications

Adv. Agron.

Soil quality: A concept, definition, and framework for evaluation

Soil Sci. Soc. Am. J.

Use of soil quality indicators to evaluate cconservation reserve program sites in Iowa

A preliminary watershed scale soil quality assessment in north central Iowa, USA

Soil Till. Res.

Land Capability Classification

The dynamics of soil quality as a measure of sustainable management