The soil health tool—Theory and initial broad-scale application

Haney, Richard L.; Haney, Elizabeth B.; Smith, Douglas R.; Harmel, R. Daren; White, M.H.

doi:10.1016/j.apsoil.2017.07.035

Cited by 114 publications

(111 citation statements)

References 28 publications

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“…Organic matter by LOI was not correlated with Haney C indicators, Solvita CO 2 , or SHC, which was expected because LOI measures total SOM while the Haney tests were developed to reflect only the biologically active portion (Haney et al, 2018; Table 13). Water‐extractable organic C was less variable than LOI (CV of 6.6 and 9.2%; Table 13) while Solvita and organic C/N were more variable (CV of 12.4 and 13.3%).…”

Section: Resultsmentioning

confidence: 94%

“…When the most recent Soil Health Tool became available, we used the same laboratory test values to calculate updated SHC, as follows (measurements in mg kg –1 ; Haney et al, 2018):

\begin{matrix} left \\ SHC 2018 = (Solvita {CO}_{2} \div 10) \times (WEOC \div 100) \\ \times (WEOC \div 10) \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

“…The Solvita test measures the CO 2 respired over 24‐h after rewetting a dried soil sample and has been proposed for use in quantifying microbial activity and mineralizable N and P (Haney et al, 2008a, 2008b, 2015). The Haney and Solvita tests are components of the Soil Health Tool/Soil Health Calculation (SHC), which was developed to help growers measure the effects of management on the health of their soils (Haney, 2015, Haney et al, 2018).…”

mentioning

confidence: 99%

“…Comparisons between long‐term tillage studies utilizing the SHC are problematic because a previous version of the equation (Haney, 2015) was used in work published by Mitchell et al (2017) and Roper et al (2017), while an updated, authoritative SHC has recently become available (Haney et al, 2018). Previously a score above 7 was considered “good” (Haney, 2015), though the current recommendation is to focus on tracking the progress of individual soils over time because efficient crop production can be achieved even on soils with low SHC (Haney et al, 2018). More research is needed to guide interpretation of these tests, to standardize laboratory procedures and resolve issues with reproducibility of results (Sullivan and Granatstein, 2015).…”

mentioning

confidence: 99%

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Comparing Biological and Conventional Chemical Soil Tests in Long‐Term Tillage, Rotation, N Rate Field Study

Bavougian

Shapiro

Stewart

et al. 2019

Soil Science Soc of Amer J

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Haney N and P tests were correlated with conventional soil NO3–N and Mehlich III P. Corn and soybean yields were generally not correlated with soil health indicators. Haney and conventional soil test methods had similar laboratory precision as determined by sensitivity ratio analysis. Haney Soil Health Tests generated additional information, particularly about organic C and N fractions, that is not available from conventional chemical soil tests. The Haney Soil Health Tool is a suite of tests integrating chemical and biological factors to provide a sophisticated analysis of soil nutrient availability. This research was conducted to determine if Haney tests (including H3A and water extracts, Solvita 24‐h CO2 evolution, and Soil Health Calculation [SHC]) can add value to conventional chemical soil testing methods and increase knowledge of the effects of tillage systems, crop rotation, and N rate on soil health and corn grain yield. We studied rainfed continuous corn (Zea mays L.) and corn following soybean [Glycine max (L.) Merr.] under three tillage systems and three N rates in a long‐term field experiment in northeast Nebraska. The H3A ammonium, H3A inorganic N, and water‐extractable total N tests detected more differences (significant F tests for main effects and interactions involving all treatments) than conventional NO3–N analysis (which detected the interaction of rotation × N rate). Water‐extractable organic C detected more differences than LOI. There was a three‐way interaction of tillage × rotation × N rate for Solvita and SHC; high N and intensive tillage mostly corresponded to low Solvita and SHC values. We did not expect the treatments to affect P or K directly, but the tillage × rotation interaction was significant for Mehlich III P, tillage for H3A organic P, and N rate for H3A inorganic and total P. Correlation analysis confirmed linear relationships between many Haney and conventional soil tests, and we concluded via sensitivity ratio calculations that the tests offered similar precision.

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Section: Resultsmentioning

confidence: 94%

“…When the most recent Soil Health Tool became available, we used the same laboratory test values to calculate updated SHC, as follows (measurements in mg kg –1 ; Haney et al, 2018):

\begin{matrix} left \\ SHC 2018 = (Solvita {CO}_{2} \div 10) \times (WEOC \div 100) \\ \times (WEOC \div 10) \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Comparing Biological and Conventional Chemical Soil Tests in Long‐Term Tillage, Rotation, N Rate Field Study

Bavougian

Shapiro

Stewart

et al. 2019

Soil Science Soc of Amer J

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show abstract

“…This problem is relevant all over the world and especially concerns developing countries. In order to solve the problem, cooperation of scientists from various fields of science is strongly required: physical geographers and soil scientists, ecologists, biologists, and chemists, for joint development of rational strategies for soil protection in different natural and climatic zones (Brevik et al, ; DeJong et al, ; Haney, Haney, Smith, Harmel, & White, ).…”

Section: Introductionmentioning

confidence: 99%

Humics‐based interpolyelectrolyte complexes for antierosion protection of soil: Model investigation

et al. 2018

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The aim of this article is to demonstrate a novel polymer‐based technique for stabilization of soil against wind and water erosion. Conventional approaches deal with individual water‐soluble polymers, which, being deposited on the soil, are removed from the soil surface after rewatering. Here, we describe an elegant way for soil stabilization via deposition of interpolyelectrolyte complexes formed by two oppositely charged water‐soluble polymers. Electrostatic complexation in an aqueous solution of a cationic poly(diallyldimethylammonium chloride) with an excess of water‐soluble anionic biopolymers, humic acids, results in formation of a negative non‐stoichiometric interpolyelectrolyte complex (NIPEC). Upon deposition of a NIPEC aqueous solution over soil and drying out, a protective layer (crust) forms on the surface, composed of NIPEC and soil particles, resistant to wind and water erosion. After destruction, the crust is completely restored by rewatering. The high stability of the NIPEC‐soil crust is due to a NIPEC block structure with hydrophilic free anionic units and hydrophobic mutually neutralized anionic/cationic units, which ensures optimum adsorption on the surface of soil particles and binds them to bigger aggregates. The NIPEC treatment retains the porous structure of soil that favors seed germination and plant development. Being effective absorbent of heavy metals, the NIPEC formulation ensures a normal seed germination in the presence of toxic Cu2+ ions. Thus, the humics‐based NIPECs ensures antierosion protection and detoxification of soil. Additionally to ecological and agricultural applications, the NIPEC formulations have potential for immobilization of moving sands, conservation of mining dumps, treatment of road slopes, and so forth.

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Assessment and Interpretation of Soil‐Test Biological Activity

Franzluebbers¹

2021

Soil Health Series

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The soil health tool—Theory and initial broad-scale application

Cited by 114 publications

References 28 publications

Comparing Biological and Conventional Chemical Soil Tests in Long‐Term Tillage, Rotation, N Rate Field Study

Comparing Biological and Conventional Chemical Soil Tests in Long‐Term Tillage, Rotation, N Rate Field Study

Humics‐based interpolyelectrolyte complexes for antierosion protection of soil: Model investigation

Assessment and Interpretation of Soil‐Test Biological Activity

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