Die Bestimmung des spezifischen Gewichtes des Bodens

Mitscherlich, E.

doi:10.1007/978-3-642-91972-5_12

Cited by 4 publications

(7 citation statements)

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“…A parallel series was run in which the plants derived their phosphate from weighed amounts of soil from the different treatments, the weight of sand + soil in each pot being kept constant at 15 lb. Apart from differences in the soil: sand ratio, the experimental technique was essentially that described by Mitscherlich (1930), and yield data for straw + grain were obtained from the triplicate determinations.…”

Section: Modified Mitscherlich Method a Series Of Potmentioning

confidence: 99%

Studies on phosphate fixation in Scottish soils. I. The recovery of added phosphate from a soil of the acid igneous group

Williams

Stewart

1943

J. Agric. Sci.

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1. A long-term investigation consisting of field, pot and laboratory experiments has been commenced to study the extent, rate, nature and significance of phosphate fixation in north Scottish soils with the ultimate objects of improving fertilizer practice and standardizing methods for determining readily soluble phosphate.2. Quantities of a phosphate-deficient soil derived mainly from granitic drift were treated with incremental dressings of phosphate and exposed in earthenware pots in the open. The soil had an initial pH of 5·80 and a total phosphate content of 0·250% of which 28% is soluble in constant-boiling HCl solution.3. The recovery of added phosphate by different methods from samples taken after varying periods of exposure has been studied. Data are given for extractions with calcium lactate, acetic acid, potassium bisulphate, citric acid, magnesium bicarbonate, sodium hydroxide, hydrochloric acid, and chloride and sulphate solutions, together with pot experiments and determinations by the Neubauer and aspergillus methods.4. Complete recovery is approached only in strongly acid and strongly alkaline extracts, and about 25% of the added phosphate is very firmly bound by the soil. The solubility varies greatly with the pH of the extracts and is very low at pH values in the region of 5. At lower pH values, however, the nature and concentration of the anions present are also of considerable importance. The results indicate a high capacity for fixing phosphate in difficultly soluble form.

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Section: Modified Mitscherlich Method a Series Of Potmentioning

confidence: 99%

Studies on phosphate fixation in Scottish soils. I. The recovery of added phosphate from a soil of the acid igneous group

Williams

Stewart

1943

J. Agric. Sci.

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“…where 1' = yield, A = maximal dry matter yield, b = 'dn intercept parameter for yield, N = applied N rate and c -the N response coefficient. This model is easily recognized as a simplified version of a general fanh (AO model (Hotellmg 1927, cited by Richards 1969), Mitscherlich (1930 developed a similar version much earlier for application to soil fertility studies without acknowledging any relationship to the tanh(AO function. The simplified tanh(AO function risks some loss of ability to meet important residual criteria for an economic analysis of the data but only at initial rates of nutrient addition.…”

Section: R^^ni+e-'-^-"^)-' (3)mentioning

confidence: 99%

Calculation of Optimal Fertilizer Rates: A Comparison of Three Response Models†

Olness

Evans

Alderfer

1998

J Agronomy Crop Science

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Determination of optimal N-fertilization rates, A',., for crop production that minimize risk of environmental degradation require accurate application of a response model. Several models are available to describe crop yield response to N fertilization. The objective of this work was to compare the relative accuracy of a quadratic, /{NQ), a modified Mitscherlich, and tanh(/V") models on 48 data sets. Data were collected from a Tara silt loam (fine-silty, mixed, frigid Pachic LJdic HaploboroU) over a 6-year period using two maize {Zea mays L.) hybrids and four tillage treatments, mouldboard plough, chisel plough, ridge tillage and no-tillage. In about one-third of the cases, all models performed about equally well. Generally, the tanh(jV) and modified Mitscherlich models gave better fit between N rate and grain yield data. The No,, ranged from about 140 to i 70 kg ha"' for the modified Mitscherlich model, 136 to 184 kg ha ' for the tanh(A') function, and 124 to f73 kg ha"' using the/^Aq) model. Estimated grain yields at these rates ranged between 6.58±1.30 to 7.59+1.69 Mg ha"' for the 90-day Minnesota maturity rated (MR) hybrid and between 7.52±2.40 to 8.72±1.70 Mg ha"' for the 95-day MR hybrid.

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“…The priority work on the productivity functions in agricultural chemistry is the work of Liebig, 1855 [1], although so-called model of Liebig (FPL) in the linear and partially smoothed form, took the mathematical form of a linear function with a subsequent plateau later [2-6 etc.]. Beginning in 1909, the works of Mitscherlich [7] and independently from 1923 works of Spillman [8] offered a model (productivity functions of Mitscherlich-Spillman PFMS) based on the inverse exponent, which has also a plateau as productivity function of Liebig, but it has damped response within the break point. Further development of theoretical concepts of the FP was made by Baule in 1918 (multifactor model of Mitscherlich-Baule [9]), Bray since 1944 (the concept of influence of mobility of food compounds on PF [10][11][12], Von Boguslawski E., & B. Schneider, refinement of Mitscherlich model [13][14][15][16] and many other researchers [2][3][4][17][18][19][20][21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the main focus is on the factor of phosphorus. Phosphorus compounds are often one of the limiting factors in plant productivity [1,7,13,33]. Their low mobility in soil determines prolonged aftereffect of phosphate fertilizers, which allows them to "store" [12,34].…”

Section: Introductionmentioning

confidence: 99%

“…Their low mobility in soil determines prolonged aftereffect of phosphate fertilizers, which allows them to "store" [12,34]. Increase in the phosphate content in the soil using phosphate fertilizers increases the efficiency of the use of other fertilizers, especially nitrogen [7,[33][34][35]. However, on sloping lands it also increases the risk of run-off into waterways, leading to eutrophication [6,[36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

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Ability of Mitscherlich-Spillman Model to Estimate Critical Soil Phosphate Levels

Pukhovskiy¹

2013

IJNFS

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Abstract:More than 150 years research groups from different countries have been studying the effect of various factors on the productivity of the plants described by so-called productivity functions (PF). Interest to PF stems from the needs of economists, agronomists, agricultural chemists and environmentalists who use the PF modeling as a basis for solving their problems. The article describes development of models of productivity for agricultural chemistry and approaches to its calibration. The phenomenon of quasi-linearity (R 2 > 0.998) of Mitscherlich-Von Boguslawski functions within the range of 30 to 90% efficiency after logarithmic transformation of the argument and practical applications of the method were considered. The limitations were considered in the use of recommendations in relation to the properties of the scale of the studied factors. The approach proposed is applicable to only the values belonging to an absolute scale (ratio scale). The analysis of the possibility and feasibility to assess the so called critical levels of mobile phosphates was made using modeling with recently published Rothamsted long-term experimental data.

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Die Bestimmung des spezifischen Gewichtes des Bodens

Cited by 4 publications

References 0 publications

Studies on phosphate fixation in Scottish soils. I. The recovery of added phosphate from a soil of the acid igneous group

Studies on phosphate fixation in Scottish soils. I. The recovery of added phosphate from a soil of the acid igneous group

Calculation of Optimal Fertilizer Rates: A Comparison of Three Response Models†

Ability of Mitscherlich-Spillman Model to Estimate Critical Soil Phosphate Levels

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