Yield responsiveness and response curvature as essential criteria for the evaluation and calibration of soil phosphate tests for wheat

Soil Research ◽  
1985 ◽  
Vol 23 (2) ◽  
pp. 167 ◽  
Author(s):  
ICR Holford ◽  
JM Morgan ◽  
J Bradley ◽  
BR Cullis
Keyword(s):  
Field Experiments ◽  
Yield Response ◽  
Soil Test ◽  
Wheat Field ◽  
Fertilizer Effectiveness ◽  
Soil Phosphate ◽  
Fertilizer Requirement ◽  
Dry Conditions ◽  
Using Data ◽  
Actual Response

In a study using data from 57 wheat field experiments on the central-western slopes of New South Wales, eight soil phosphate tests (Bray,, Bray,, alkaline fluoride, Mehlich, Truog, lactate, Olsen and Colwell) were evaluated and calibrated in terms of responsiveness (�) and response curvature (C) parameters derived from the Mitscherlich equation. The results showed that, regardless of how well correlated a soil test is with yield responsiveness, it cannot give a satisfactory estimate of fertilizer requirement unless yield response curvature is also taken into account. The tendency of soil test values, especially of the Colwell test, to be negatively related to response curvature, and hence inversely related to fertilizer effectiveness, compounded the problem of directly relating soil test values to fertilizer requirement. The best test (lactate) accounted for only 28% of the variance in fertilizer requirement, compared with 50% of the variance in responsiveness, and the worst test (Colwell) was completely unrelated to fertilizer requirements. When fertilizer requirement was estimated from the lactate test value and the actual response curvature for each experiment, 68% of the variance (from the actual fertilizer requirement) was accounted for. Thirteen experiments were subject to drier conditions than the others, and these were less responsive and had lower fertilizer requirements relative to soil test values. In relation to yield responsiveness, the Colwell test was most sensitive (P < 0.001) to dry conditions, while the two best tests (lactate and Bray,) were the least sensitive (P > 0.05). The results demonstrated the superiority of acidic anionic extractants over alkaline bicarbonate extractants on moderately acid to alkaline wheat-growing soils.

Effects of phosphate buffer capacity on yield response curvature and fertilizer requirements of wheat in relation to soil phosphate tests

Soil Research ◽  
1985 ◽  
Vol 23 (3) ◽  
pp. 417 ◽  
Author(s):  
ICR Holford ◽  
BR Cullis
Keyword(s):  
Phosphate Buffer ◽  
Buffer Capacity ◽  
Field Experiments ◽  
Significant Negative Correlation ◽  
Yield Response ◽  
Alkaline Soils ◽  
Soil Tests ◽  
Soil Phosphate ◽  
Fertilizer Requirement ◽  
Actual Response

Data from 39 fertilizer field experiments in north-western New South Wales were used to examine the effects of phosphate buffer capacity on yield response curvature and fertilizer requirements of wheat in relation to six soil phosphate tests (Bray1, Bray2, BSES, Truog, lactate, and bicarbonate). The soil tests were also evaluated for their accuracy in predicting yield responsiveness in a total of 48 experiments. There was a highly significant negative correlation between buffer capacity and response curvature, accounting for nearly 50% of the variance in curvature. The accuracy of the relationship was highest for moderately and strongly buffered soils. When used to predict curvature and hence fertilizer requirements, buffer capacity increased the variance accounted for by the most effective soil test (lactate) from 32% to 75%, compared with 93% using actual response curvatures. Whether used to predict responsiveness or fertilizer requirement, the lactate test was superior and the bicarbonate test was inferior to other soil tests. The bicarbonate test accounted for only half as much variance in responsiveness as the lactate test, and it accounted for none of the variance in fertilizer requirement. The results confirmed earlier studies showing that the bicarbonate test has several intrinsic properties which make it inferior to other soil tests on moderately acid to alkaline soils.

An evaluation of several soil tests for predicting wheat yield response to superphosphate in Victoria

1968 ◽  
Vol 8 (30) ◽  
pp. 52
Author(s):  
JV Mullaly ◽  
JKM Skene ◽  
R Jardine
Keyword(s):  
Field Experiments ◽  
Wheat Yield ◽  
Response Variability ◽  
The Other ◽  
Yield Response ◽  
Available Phosphorus ◽  
Soil Test ◽  
Soil Tests ◽  
Using Data ◽  
Soil Groups

The predictability of three different measures of wheat yield response to superphosphate from each of four soil test measures of available phosphorus (0-6 inches) was examined, using data from field experiments over the period 1951 to 1965. The associations were studied separately within the three great soil groups that are dominant over the wheatgrowing areas of Victoria. Whichever measure of yield response was considered, soil bicarbonate P test measurement gave the best basis for prediction. However, at most, only 26 per cent of the yield response variability was predictable, and the other three tests were substantially less successful. Under the general conditions considered, where yield response is subject to a variety of uncorrected environmental deficiencies, it is concluded that the soil tests for P investigated in this paper are of doubtful practical value.

Soil and tissue tests to predict pasture yield responses to applications of potassium fertiliser in high-rainfall areas of south-western Australia

2002 ◽  
Vol 42 (2) ◽  
pp. 149 ◽  
Author(s):  
M. D. A. Bolland ◽  
W. J. Cox ◽  
B. J. Codling
Keyword(s):  
Western Australia ◽  
Field Experiments ◽  
Relative Yield ◽  
Subterranean Clover ◽  
Test Method ◽  
Yield Response ◽  
Soil Test ◽  
Test Procedures ◽  
Pasture Production ◽  
Yield Responses

Dairy and beef pastures in the high (>800 mm annual average) rainfall areas of south-western Australia, based on subterranean clover (Trifolium subterraneum) and annual ryegrass (Lolium rigidum), grow on acidic to neutral deep (>40 cm) sands, up to 40 cm sand over loam or clay, or where loam or clay occur at the surface. Potassium deficiency is common, particularly for the sandy soils, requiring regular applications of fertiliser potassium for profitable pasture production. A large study was undertaken to assess 6 soil-test procedures, and tissue testing of dried herbage, as predictors of when fertiliser potassium was required for these pastures. The 100 field experiments, each conducted for 1 year, measured dried-herbage production separately for clover and ryegrass in response to applied fertiliser potassium (potassium chloride). Significant (P<0.05) increases in yield to applied potassium (yield response) were obtained in 42 experiments for clover and 6 experiments for ryegrass, indicating that grass roots were more able to access potassium from the soil than clover roots. When percentage of the maximum (relative) yield was related to soil-test potassium values for the top 10 cm of soil, the best relationships were obtained for the exchangeable (1 mol/L NH4Cl) and Colwell (0.5 mol/L NaHCO3-extracted) soil-test procedures for potassium. Both procedures accounted for about 42% of the variation for clover, 15% for ryegrass, and 32% for clover + grass. The Colwell procedure for the top 10 cm of soil is now the standard soil-test method for potassium used in Western Australia. No increases in clover yields to applied potassium were obtained for Colwell potassium at >100 mg/kg soil. There was always a clover-yield increase to applied potassium for Colwell potassium at <30 mg/kg soil. Corresponding potassium concentrations for ryegrass were >50 and <30 mg/kg soil. At potassium concentrations 30–100 mg/kg soil for clover and 30–50 mg/kg soil for ryegrass, the Colwell procedure did not reliably predict yield response, because from nil to large yield responses to applied potassium occurred. The Colwell procedure appears to extract the most labile potassium in the soil, including soluble potassium in soil solution and potassium balancing negative charge sites on soil constituents. In some soils, Colwell potassium was low indicating deficiency, yet plant roots may have accessed potassum deeper in the soil profile. Where the Colwell procedure does not reliably predict soil potassium status, tissue testing may help. The relationship between relative yield and tissue-test potassium varied markedly for different harvests in each year of the experiments, and for different experiments. For clover, the concentration of potassium in dried herbage that was related to 90% of the maximum, potassium non-limiting yield (critical potassium) was at the concentration of about 15 g/kg dried herbage for plants up to 8 weeks old, and at <10 g/kg dried herbage for plants older than 10–12 weeks. For ryegrass, there were insufficient data to provide reliable estimates of critical potassium.

THE RELATION OF SOIL TEST VALUES TO FERTILIZER RESPONSE BY THE POTATO: IV. AVAILABLE PHOSPHORUS AND PHOSPHATIC FERTILIZER REQUIREMENTS

1967 ◽  
Vol 47 (3) ◽  
pp. 175-185 ◽  
Author(s):  
R. F. Bishop ◽  
C. R. MacEachern ◽  
D. C. MacKay
Keyword(s):  
Field Experiments ◽  
Yield Response ◽  
Available Phosphorus ◽  
Soil Test ◽  
Soil Series ◽  
Response Curves ◽  
Fertilizer Response ◽  
Soil P ◽  
Wide Range ◽  
Mitscherlich Equation

In field experiments, conducted at 18 locations during a 3-year period, tuber yields on zero-P plots ranged from 49.7–95.5% of those obtained with optimum P fertilization. Each of three chemical methods used to estimate available soil P showed a wide range of values for the different locations.When Bray's modification of the Mitscherlich equation was used to express the relationship between soil test values and yield response to applied P, there were appreciable differences in c1 values which varied with soil series and soil test methods.Polynomial response curves showed that, irrespective of the chemical method used, if soils were grouped on the basis of available P into "high", "medium" and "low" classes, response to applied P was much less in the high than in the medium and low classes. Response curves also showed that both P requirements and maximum yields varied with different soil series.

scholarly journals Foliar Potassium Fertilizer Additives Affect Soybean Response and Weed Control with Glyphosate

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Kelly A. Nelson ◽  
Peter P. Motavalli ◽  
William E. Stevens ◽  
John A. Kendig ◽  
David Dunn ◽  
...  
Keyword(s):  
Grain Yield ◽  
Weed Control ◽  
Field Experiments ◽  
Leaf Tissue ◽  
High Yield ◽  
Yield Response ◽  
Soil Test ◽  
Potassium Fertilizer ◽  
K Fertilizer ◽  
Soil Test K

Research in 2004 and 2005 determined the effects of foliar-applied K-fertilizer sources (0-0-62-0 (%N-%P2O5-%K2O-%S), 0-0-25-17, 3-18-18-0, and 5-0-20-13) and additive rates (2.2, 8.8, and 17.6 kg K ha−1) on glyphosate-resistant soybean response and weed control. Field experiments were conducted at Novelty and Portageville with high soil test K and weed populations and at Malden with low soil test K and weed populations. At Novelty, grain yield increased with fertilizer additives at 8.8 kg K ha−1in a high-yield, weed-free environment in 2004, but fertilizer additives reduced yield up to 470 kg ha−1in a low-yield year (2005) depending on the K source and rate. At Portageville, K-fertilizer additives increased grain yield from 700 to 1160 kg ha−1compared to diammonium sulfate, depending on the K source and rate. At Malden, there was no yield response to K sources. Differences in leaf tissue K(P=0.03), S(P=0.03), B(P=0.0001), and Cu(P=0.008)concentrations among treatments were detected 14 d after treatment at Novelty and Malden. Tank mixtures of K-fertilizer additives with glyphosate may provide an option for foliar K applications.

Simulating phenology and yield response of canola to sowing date in Western Australia using the APSIM model

2002 ◽  
Vol 53 (10) ◽  
pp. 1155 ◽  
Author(s):  
I. Farré ◽  
M. J. Robertson ◽  
G. H. Walton ◽  
S. Asseng
Keyword(s):  
Western Australia ◽  
Field Experiments ◽  
Rainfall Variability ◽  
Sowing Date ◽  
Weather Data ◽  
Yield Response ◽  
Yield Reduction ◽  
Sowing Dates ◽  
3.0 T ◽  
Using Data

Canola is a relatively new crop in the Mediterranean environment of Western Australia and growers need information on crop management to maximise profitability. However, local information from field experiments is limited to a few seasons and its interpretation is hampered by seasonal rainfall variability. Under these circumstances, a simulation model can be a useful tool. The APSIM-Canola model was tested using data from Western Australian field experiments. These experiments included different locations, cultivars, and sowing dates. Flowering date was predicted by the model with a root mean squared deviation (RMSD) of 4.7 days. The reduction in the period from sowing to flowering with delay in sowing date was accurately reproduced by the model. Observed yields ranged from 0.1 to 3.2 t/ha and simulated yields from 0.4 to 3.0 t/ha. Yields were predicted with a RMSD of 0.3–0.4 t/ha. The yield reduction with delayed sowing date in the high, medium, and low rainfall region (3.2, 6.1, and 8.6% per week, respectively) was accurately simulated by the model (1.1, 6.7, and 10.3% per week, respectively). It is concluded that the APSIM-Canola model, together with long-term weather data, can be reliably used to quantify yield expectation for different cultivars, sowing dates, and locations in the grainbelt of Western Australia.

Efficacy of various soil phosphate tests for predicting phosphate responsiveness and requirements of clover pastures on acidic tableland soils

Soil Research ◽  
1988 ◽  
Vol 26 (3) ◽  
pp. 479 ◽  
Author(s):  
ICR Holford ◽  
GJ Crocker
Keyword(s):  
White Clover ◽  
Significant Positive Correlation ◽  
New South ◽  
Acid Soils ◽  
Critical Values ◽  
Yield Response ◽  
Acidic Soils ◽  
Soil Phosphate ◽  
South Wales ◽  
Fertilizer Requirement

The efficacies of six different soil phosphate tests (Bray1, Bray2, alkaline fluoride, lactate, Olsen and Colwell) for predicting yield responsiveness and phosphate requirements of white clover pastures were investigated in 41 experiments over five years on acidic soils of the Northern Tablelands of New South Wales. The results contrasted with those obtained on slightly acid-to-alkaline wheat-growing soils and supported the dual hypothesis that a different type of phosphate extractant is required on acidic pasture soils from that required on more alkaline wheat-growing soils, and that phosphate sorptivity is of little importance on more acid soils. The Bray1 test was the most effective, and the lactate test least effective, in predicting responsiveness and fertilizer requirement. All soil tests, except Bray2 and lactate, were more effective on these acidic soils than on more alkaline wheat-growing soils. This was partly caused by a significant positive correlation between values of the more effective tests and yield response curvatures. However, there was no correlation between phosphate sorption and response curvature. The critical values for Bray1, fluoride and bicarbonate tests were similar to those on wheat-growing soils, but those for Bray2 and lactate were somewhat higher. Critical values for the Colwell test tended to increase with increasing phosphate sorptivity.

An evaluation of eight soil phosphate extractants on acidic wheat growing soils

Soil Research ◽  
1985 ◽  
Vol 23 (4) ◽  
pp. 647 ◽  
Author(s):  
ICR Holford ◽  
BR Cullis
Keyword(s):  
Field Experiments ◽  
New South ◽  
New South Wales ◽  
Acid Soils ◽  
Critical Values ◽  
Alkaline Soils ◽  
Wheat Field ◽  
Extraction Procedures ◽  
Soil Phosphate ◽  
South Wales

In a study using earlier data from 44 wheat field experiments on acidic (pH < 5.6) soils in southern New South Wales, eight soil phosphate extractants (Bray,, Bray,, neutral fluoride, Mehlich, Truog, lactate, Olsen and Colwell) were evaluated and calibrated in terms of responsiveness (�) and response curvature (C) parameters derived from the Mitscherlich equation. All extraction procedures, except Colwell, had a standard shaking time of 30 min and so1ution:soil ratio of 50. The order of efficacy of the tests was different from that obtained on moderately acid to alkaline soils of central and northern New South Wales. Neutral fluoride and acidic sulfate (Truog) replaced lactate as the best extractant, followed by the double acid Mehlich extractant. The Colwell test was more effective on these very acid soils than on the more alkaline soils, being equal to Bray1 and greatly superior to Bray2 and Olsen. The critical values of the fluoride, Mehlich, Truog, lactate and Colwell tests were significantly lower than they were for more alkaline soils in central New South Wales. The changes in extraction procedures could explain the lower critical values of the lactate and Truog tests, but differences in the critical values of the other three tests were inconsistent with changes in extraction procedures. The results support the hypothesis that a different phosphate extractant is required on very acid soils from that required on moderately acid to alkaline soils.

Sodium bicarbonate soil test values and the phosphate buffering capacity of soils

Soil Research ◽  
1977 ◽  
Vol 15 (3) ◽  
pp. 263 ◽  
Author(s):  
KR Helyar ◽  
K Spencer
Keyword(s):  
Sodium Bicarbonate ◽  
Field Experiments ◽  
Critical Level ◽  
Soil Phosphorus ◽  
Buffering Capacity ◽  
Soil Test ◽  
Preliminary Estimate ◽  
Test Functions ◽  
Soil Phosphate ◽  
Phosphorus Levels

Fifty-one field experiments dealing with responses of subterranean and white clover pastures to applied phosphate at a range of soil phosphorus levels, were carried out. The level of sodium bicarbonate extractable phosphorus above which little or no response to applied phosphate occurs (critical level), increased from 22 to 48 pg phosphorus/g soil with increases in soil phosphate buffering capacity (at solution [P] of 0.3 pg phosphorus/ml) from 1 to 20 ml/g x 10-1. On the few highly buffered soils occurring outside this range critical levels up to 60 �g phosphorus/g soil were indicated. A preliminary estimate is made of the way yield/soil test functions vary with changes in soil phosphate buffering capacity.

Calibration and assessment of soil tests for estimating fertilizer requirements. I. Statistical models and tests of significance.

Soil Research ◽  
1967 ◽  
Vol 5 (2) ◽  
pp. 275 ◽  
Author(s):  
JD Colwell
Keyword(s):  
Field Experiments ◽  
Fertilizer Application ◽  
Application Rate ◽  
Yield Response ◽  
Soil Test ◽  
Regression Equations ◽  
Soil Tests ◽  
Yield Data ◽  
Fertilizer Application Rate ◽  
The Relationship

The calibration of soil tests requires a statistical model to describe the relationship between yield of crop, fertilizer application rate, and soil test. Yield response to fertilizers can be represented by polynomials both in the natural and square-root scales, and these polynomials can be generalized for a given crop and region, using soil test expressions. The generalization can be done using orthogonal polynomials and simultaneous regression equations that relate the coefficients of the polynomials to the soil test variables. This procedure is necessary because of heterogeneity in the residual sum of squares of regressions fitted to the yield data of several fertilizer field experiments within a region. The set of simultaneous regression equations constitutes a direct calibration of the soil test, since it can be used for the estimation of economic fertilizer requirement. Highly significant calibrations are demonstrated for a phosphorus soil test with wheat and a potassium test with potatoes. A nitrogen test gave only non-significant (P > 0.05) relationships.

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