EVALUATION OF SOIL NUTRIENT VARIABILITY FOR DEVELOPMENT OF TURFGRASS SOIL TEST SAMPLING METHODS

2002 ◽  
Vol 33 (15-18) ◽  
pp. 3335-3345 ◽  
Author(s):  
Stephen J. Donohue
Keyword(s):  
Sampling Methods ◽  
Soil Nutrient ◽  
Soil Test ◽  
Nutrient Variability

Within-site drivers for soil nutrient variability in plantation forests: A case study from dry sub-humid New Zealand

CATENA ◽  
2021 ◽  
Vol 200 ◽  
pp. 105149
Author(s):  
Serajis Salekin ◽  
Mark Bloomberg ◽  
Justin Morgenroth ◽  
Dean F. Meason ◽  
Euan G. Mason
Keyword(s):  
New Zealand ◽  
Soil Nutrient ◽  
Plantation Forests ◽  
Nutrient Variability

Field-scale variability of soil test phosphorus and other nutrients in grasslands under long-term agricultural managements

Soil Research ◽  
2013 ◽  
Vol 51 (6) ◽  
pp. 503 ◽  
Author(s):  
Weijun Fu ◽  
Keli Zhao ◽  
Peikun Jiang ◽  
Zhengqian Ye ◽  
Hubert Tunney ◽  
...  
Keyword(s):  
Soil Nutrients ◽  
Poultry Litter ◽  
Soil Nutrient ◽  
Statistical Correlation ◽  
Soil Test ◽  
Field Scale ◽  
The North ◽  
Positive Correlations ◽  
Soil Test Phosphorus

Field-scale variation of soil nutrients in grassland is becoming important because of the use of soil-nutrient information as a basis for policies such as the recently introduced EU Nitrates Directive. This study investigates the field-scale variability of soil-test phosphorus (STP) and other nutrients in two grasslands with a long-term history of poultry litter application. Two fields (field 1 for silage and field 2 for grazing pasture) were selected, and soil samples were collected based on 12 m by 12 m (field 1) and 15 m by 15 m (field 2) grids. Data were analysed using conventional statistics, geostatistics, and a geographic information system (GIS). In field 1, STP values ranged from 12.4 to 90 mg L–1 (average 38.5 mg L–1). In field 2, STP values ranged from 4.3 to 130.0 mg L–1 (average 21.4 mg L–1). Attention should be paid to long-term poultry application, as the average STP values in both fields were much greater than the recommended agronomic optimum STP status in Ireland of 8 mg L–1. Coefficient of variation values of soil nutrients in field 2 were much higher than those in field 1. Log-transformation and Box–Cox transformation were applied to achieve normality. Statistically significant (P < 0.01), positive correlations between P and other nutrients were found in both fields. Exponential and spherical models were fitted to the experimental variograms of STP in fields 1 and 2, respectively. Compared with the counterparts in field 1, soil nutrients in field 2 had larger ‘nugget-to-sill’ values, revealing that sheep grazing could weaken the spatial auto-correlation of soil nutrients. A grid of 60 m by 60 m was recommended for soil sampling in grassland, based on this study. High STP concentrations in field 1 were in the north-eastern side, which was related to uneven poultry litter application. Strong spatial similarity of low STP, magnesium, and pH values in their spatial distribution were found in field 2, confirming their strong statistical correlation.

scholarly journals Fertiliser requirements for peat soils in the Waikato region

2001 ◽  
pp. 47-51 ◽  
Author(s):  
M.B. O'Connor ◽  
R.D. Longhurst ◽  
T.J.M. Johnston ◽  
F.N. Portegys
Keyword(s):  
Storage Capacity ◽  
Peat Soil ◽  
Soil Nutrient ◽  
Field Trials ◽  
Soil Test ◽  
Nutrient Deficiencies ◽  
Peat Soils ◽  
Pasture Production ◽  
Olsen P ◽  
Productive Land

Peat soils cover approximately 94 000 ha of productive land in the Waikato and are an important soil resource for the region. Much of the research on peats in the 1950s-60s concentrated on the development of raw peats and later in the 1970s on nutrient deficiencies such as copper and selenium. Little to no work was undertaken on soil fertility/soil nutrient relationships of developed peat soils. In 1996, a series of eight field trials was established across a range of developed peat soils in the Waikato to investigate such relationships. The trials continued for 3 years. Results showed that the optimum Olsen P soil test for sustaining near maximum pasture production was 35-45, that K soil tests were of limited use on well developed peats and that winter leaching of S was likely to be important. The Anion Storage Capacity (ASC) test was found to be a valuable tool in indicating the degree of development of peat and in turn allowing interpretation of fertiliser responses. From these introductory investigations of nutrient requirements on peat soils some guidelines and recommendations are presented. Keywords: anion storage capacity (ASC), Olsen P, pasture production, peat, soil test

scholarly journals Ion Exchange Resin Membrane Sensitivity Analysis of Selected Parameters for Soil Nutrient Extraction

2016 ◽  
Vol 8 (10) ◽  
pp. 189
Author(s):  
Plinio L. Kroth ◽  
Clesio Gianello ◽  
Leandro Bortolon ◽  
Jairo A. Schlindwein ◽  
Elisandra S.O. Bortolon
Keyword(s):  
Ion Exchange ◽  
Crop Production ◽  
Exchange Resin ◽  
Extraction Procedure ◽  
Soil Nutrient ◽  
Ion Exchange Resin ◽  
Test Method ◽  
Soil Test ◽  
Soil P ◽  
Wide Range

<p>The ion exchange resin method has received considerable attention as an alternative soil test method to evaluate plant available nutrients. This study sought to investigate the effect of changes to the resin standard method in the capacity of the resin to extract soil P, K, Ca, and Mg in soils with different texture. We tested the following modifications: soil grinding levels (&lt; 2 mm; &lt; 0.3 mm), shaking time (8 h; 16 h; 24 h), reciprocation level (12.5 rpm; 25 rpm; 50 rpm), solution and elution saturation concentration (0.25/0.25 mol L<sup>-1</sup>; 0.5/0.5 mol L<sup>-1</sup>; 1.0/1.0 mol L<sup>-1</sup>), soil:solution ratio (1:5 v:v; 1:10 v:v; 1:16 v:v; 1:25 v:v), room temperature (10 <sup>o</sup>C, 15 <sup>o</sup>C, 25 <sup>o</sup>C, 40 <sup>o</sup>C), and resin amount (1 n; 2 n). When one factor was changed all the others were kept the same as the standard procedure. We selected the five most representative soil orders used for crop production in Southern Brazil which have a wide range of clay, organic matter, Mehlich-1 extractable P and K, and KCl exchangeable Ca, and Mg contents. Results showed that modifications on the standard extraction procedure affected the amounts of soil P, K, Ca, and Mg extracted. Temperature was the main factor affecting the amount of P extracted from the soil with ion exchange membrane resin. Our results can be useful to other regions that might be interested in adopting the resin soil test method, allowing others to identify the impacts of similar method modifications on soil nutrient availability according to soil type, soil management, and temperature conditions.</p>

scholarly journals Nutrient management for jute-rice cropping system using soil test target yield equation

2015 ◽  
Vol 7 (1) ◽  
pp. 211-214
Author(s):  
M.V. Singh ◽  
Mukesh Kumar ◽  
S. Mitra ◽  
M. Ramesh Naik
Keyword(s):  
Nutrient Management ◽  
Cropping System ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
Cost Ratio ◽  
Soil Test ◽  
System Productivity ◽  
Benefit Cost Ratio ◽  
Target Yield ◽  
Soil Fertility Status

A field experiment was conducted during the year 2011-13 to study the nutrient management based on soil test to achieve the target yield of jute and rice and their effect of soil nutrient status for jute-rice cropping system. The target yield of jute fibre (3.5 t/ha) with -6% deviation and target yield of rice (5.5 t/ha) were achieved with application of 100% NPK based on ST-TY based along with 5 t/ha Farm Yard Manure (FYM). The highest system productivity (11.7 t/ha) and benefit-cost ratio (3.16) was also recorded higher with application 100% NPK based on ST-TY based along with 5 t/ha FYM. The nutrient uptake by crops and soil nutrients status were higher after three year of jute-rice cropping sequence when NPK were applied with FYM. Hence, combination of inorganic and organic (FYM) fertilizer could achieve target yield and maintain the soil fertility status.

scholarly journals Novel Innovation of Subsidized Fertilizers based on Soil Variability and Farmer’s Perception

2017 ◽  
Vol 18 (1) ◽  
pp. 50
Author(s):  
Elisa Wildayana ◽  
M. Edi Armanto ◽  
M. Edi Armanto ◽  
Imron Zahri ◽  
M. Edi Armanto ◽  
...  
Keyword(s):  
Conflicts Of Interest ◽  
Soil Nutrient ◽  
Fertilizer Application ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Randomized Design ◽  
Nutrient Variability ◽  
One Way Anova ◽  
Farmer’S Perception

The study aimed to find novel innovation and research of subsidized fertilizers based on soil nutrient variability and farmer’s perception in rice farming. This study uses a completely randomized design with four natural treatments, a one-way Anova and Tukey HSD Test as well as multiple linear and cubic regressions. The fertilizer uniformity on varied ricefields was a big failure because it causes fertilization becoming ineffective, inefficient and unsustainable. Ricefield variability (due to geomorphogenesis, pedogenesis, interflow flow, vegetation distribution, land use patterns, and fertilizer application) causes not optimized fertilization (dose, balance, time, methods of fertilization). The perception of farmers can create conflicts of interest, which are determined as normal, unavoidable and natural.  Short-term research target is how fertilization in the field is done effectively, efficiently, and sustainably, whereas long-term target is to generate new sources of wealth, fertilization technology based on soil science knowledge, forming professional researcher, the great inventions of patents, cooperation media between scientists, technocrats and bureaucrats and research funding.

scholarly journals Minimum soil nutrient guidelines for turfgrass developed from Mehlich 3 soil test results

2016 ◽  
Author(s):  
Micah S Woods ◽  
Larry J Stowell ◽  
Wendy D Gelernter
Keyword(s):  
Random Sample ◽  
Probability Distributions ◽  
Soil Nutrient ◽  
Common Species ◽  
Soil Test ◽  
Test Results ◽  
High Quality ◽  
Indirect Approach ◽  
Repeated Calls ◽  
Fertilizer Recommendations

Conventional soil nutrient guidelines are higher than needed to produce high quality turfgrass. Although there have been repeated calls for more turfgrass soil calibration research, it is not practical to conduct conventional soil test calibrations for this global crop. Turfgrass comprises more than 10 common species and hundreds of cultivars, grown in a multitude of soils and climates. We took an indirect approach to identify universally applicable guidelines by studying a large sample of 16,163 Mehlich 3 soil test results collected from good-performing turf. We modeled a subset (n = 3,683) of those results, specifically from soils with low nutrient holding capacity, as 2 parameter log-logistic distributions. We take these continuous probability distributions to be representative of soils in which good-performing turf is being produced. The minimum levels for sustainable nutrition (MLSN) guidelines were selected as the value \(x\) at which the probability of a random sample \(X\) drawn from the distribution being less than or equal to \(x\) is \( 0.1\). That is, we identified the level \(x\) where \(P (X ≤ x) = 0.1\). We propose the MLSN guidelines as minimum levels for all turfgrass sites, with fertilizer recommendations suggested as the quantity sufficient to prevent each element from dropping below the MLSN guideline. The MLSN guidelines from the Mehlich 3 data used in this paper are, for K, P, Ca, Mg, and S respectively, 37, 21, 348, 47, and 7 mg kg-1.

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