ASCS certification for commercial and private soil testing laboratories

1971 ◽  
Vol 2 (2) ◽  
pp. 89-101
Author(s):  
Bob C. Darst
Keyword(s):  
Soil Testing ◽  
Testing Laboratories

Standardizing Soil Testing Methods

1980 ◽  
Vol 63 (4) ◽  
pp. 763-765
Author(s):  
Wayne Sabbe
Keyword(s):  
United States ◽  
The United States ◽  
Soil Testing ◽  
Soil Test ◽  
Test Results ◽  
Testing Methods ◽  
Standard Methods ◽  
Testing Procedures ◽  
Testing Laboratories ◽  
Phosphorus And Potassium

Abstract Soil tests are performed to determine the amount of nutrients available to plants so that fertilizer and lime recommendations can be formulated. In 1951, State soil testing laboratories had numerous extractants for determining phosphorus and potassium. Twenty years later, only 3 extractants each were used for phosphorus and potassium. In the United States, a regional approach produced standardized methods for several of the most common soil testing procedures. These detailed standard methods resulted from identifying procedural causes for variations in soil test results. For example, the amount of nutrient extracted varied by size and shape of extraction vessel and speed and time of shaking. Currently, terminology and expression of soil test results, and a search for a more universal soil extractant, i.e., one that can be used to determine several rather than a single nutrient, are 2 of the main areas of effort.

Estimating the electrical conductivity of saturated paste extracts from 1:5 soil, water suspensions and texture

Soil Research ◽  
1993 ◽  
Vol 31 (1) ◽  
pp. 73 ◽  
Author(s):  
PG Slavich ◽  
GH Petterson
Keyword(s):  
Electrical Conductivity ◽  
Soil Water ◽  
Sandy Soils ◽  
Soil Testing ◽  
Testing Laboratories ◽  
Water Suspensions ◽  
The Relationship ◽  
Wetting Method ◽  
Lower Saturation ◽  
Labour Time

This paper presents a method of estimating the electrical conductivity (EC) of a saturated paste extract (ECe) from the EC of a 1 to 5 soil/water suspension (EC1:5) and an estimate of soil texture. The method has application in soil testing laboratories which routinely determine EC1:5 but not ECe. The method of preparing the saturated paste by capillary wetting is also compared with the standard method of hand mixing. The coefficient (f) relating ECe to EC1:5, i.e. ECe = fEC1:5 was found to be related to the water content of the saturated paste (�SP kg/kg) by f = 2.46 + 3.03/QSP. The relationship between �SP and texture, determined by hand working, indicates that the uncertainty associated with use of this relationship could be significant in sandy soils. Wetting the soil by capillarity rather than by hand mixing resulted in a lower saturation percentage and higher ECe but dissolved the same amount of salts. The capillary wetting method is preferred as it greatly reduces labour time.

scholarly journals Factors determining the soil health card adoption behaviour among farmers in Andhra Pradesh

2018 ◽  
Author(s):  
Jayalakshmi Mitnala
Keyword(s):  
Tamil Nadu ◽  
Andhra Pradesh ◽  
Central Government ◽  
Soil Health ◽  
Health Indicators ◽  
Soil Testing ◽  
Current Status ◽  
State Governments ◽  
Health Card ◽  
Testing Laboratories

The soil health card (SHC) is used to assess the current status of soil health and when usedover time, helps to determine changes in soil health that are affected by land management. ASHC displays soil health indicators and associated descriptive terms. The SHC carries cropwiserecommendations of nutrients / fertilizers required for farms, making it possible forfarmers to improve productivity by using appropriate inputs. The Central Government isproviding assistance to State Governments for setting up soil testing laboratories for issuingsuch SHCs to farmers. State Governments have adopted innovative practices like involvementof agricultural students, NGOs and private sector in soil testing, determining average soilhealth of villages, etc., to issue SHCs. Though quite a few states including Tamil Nadu,Gujarat, Andhra Pradesh and Haryana are successfully distributing such cards, the Centreplans to make it a pan India effort. According to a data, till November 15th 2017, over 9.72 croresoil health cards have been issued to farmers to make them aware about nutrient deficienciesin their fields.

Regression model for predicting yield of hard red spring wheat grown on stubble in the semiarid prairie

1997 ◽  
Vol 77 (1) ◽  
pp. 43-52 ◽  
Author(s):  
C. A. Campbell ◽  
F. Selles ◽  
R. P. Zentner ◽  
B. G. McConkey ◽  
S. A. Brandt ◽  
...  
Keyword(s):  
Water Use ◽  
Spring Wheat ◽  
Soil Testing ◽  
Soil Test ◽  
Fertilizer N ◽  
Degree Days ◽  
Hard Red Spring Wheat ◽  
Brown Soil ◽  
Testing Laboratories ◽  
Soil Zone

Soil testing laboratories require predictive equations to make accurate fertilizer recommendations to cereal producers in the Canadian prairies. We used results from two 12-yr experiments (one studying snow management × fertilizer rates, and the other a tillage experiment), conducted on a medium-textured Orthic Brown Chernozem at Swift Current, Saskatchewan, to develop a regression model to estimate grain yield of hard red spring wheat (Triticum aestivum L.) grown on stubble. Stepwise regression, with backward elimination, was used to develop the relationship:Y = 1006 + 10.53 WU − 0.017 WU2 + 5.52 FN − 0.095 FN2 − 33.16 SN + 0.436 SN2 − (0.112 FN × SN) + (0.057 FN × WU) + (0.159 SN × WU) − 1.26 DD (R2 = 0.89, P = 0.001, n = 262)where Y = grain yield (kg ha−1), WU = estimated water use (mm), SN = soil test N (kg ha−1), FN = rate of fertilizer N (kg ha−1), and DD = degree days >5 °C (°C-days). Water use was available spring water in the 0- to 1.2-m depth plus 1 May to 31 July precipitation + irrigation, and SN was NO3-N in 0- to 0.6-m depth, measured in fall. We validated this model using data from two other experiments in the Brown soil zone and one in the Dark Brown soil zone in Saskatchewan, and an irrigation × N rate experiment in the Brown soil zone in southern Alberta. The results showed that this model will provide reasonable yield estimates for fine-, medium- and coarse-textured soils, when SN ≤ 55 kg ha−1, over a wide range of water use. We recommend that this equation be tested by colleagues who have appropriate data and be considered for use by soil testing laboratories in Saskatchewan, Alberta, Montana and the Dakotas. Key words: Multiple regression, soil test N, fertilizer N, water use, degree-days

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