A Study of Techniques for Predicting the Potassium and Boron Requirements of Alfalfa: I. The Influence of Muriate of Potash and Borax on Yield, Deficiency Symptoms, and Potassium Content of Plant and Soil

Chandler, Robert F.; Peech, Michael; Bradfield, Richard

doi:10.2136/sssaj1946.03615995001000c00023x

Cited by 15 publications

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“…The point where this line cuts the curve relating responses to nutrient levels is taken as the critical level. In special cases, as applied for example by Chandler et al ( 1946), this method has particular merit, but as a general technique it is unsatisfactory as the criteria will depend on the experimental error. "Critical" values will be relatively high when plot variability is small and relatively low when the experimental error is large.…”

Section: Correlation Of Plant' Analytical Levels With Responses To Apmentioning

confidence: 99%

Potassium deficiency in pastures

McNaught¹

1958

New Zealand Journal of Agricultural Research

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Legumes and grasses were analysed from two series of trials (a) pure species trials (b) mixed pastures from which legumes and grasses were dissected out for separate analysis.In the pasture trials on Horotiu sandy loam under cow grazing, yield responses to potassium fertilisers commenced in September, reached a maximum in summer (November to January), declined in autumn and were at a minimum in winter. The appearance of deficiency symptoms in white and red clovers corresponded to this pattern of growth responses which followed the seasonal growth cycle. Symptoms were not detected in winter.On deficient soils, uptake responses to potassium fertilisers were appreciable over the whole range from severe deficiency to adequacy, but were small or not detectable on soils with high available potassium.Large differences in analytical levels were found in different tissues of plants well supplied with potassium. Differences were much smaller in potassium-deficient plants.Seasonal decline in the potassium content of pasture species in autumn may have been due mainly to differences in maturity of tissues, associated with longer intervals between grazings, and to "carbohydrate dilution".Clover leaves (leaflets plus petioles), with deficiency symptoms, showed potassium levels below 0.7 %.The critical level, or minimum level for near-maximum growth, was approximately 1.8% K for whole leaves (immature plus mature) of white and red clover at grazing height. The value for ryegrass was approximately 1.6% K and similar levels were indicated for cocksfoot and Yorkshire fog. Sweet vernal and especially paspalum appear to have much lower needs. The gap between the maximum level in clover leaves showing symptoms and the apparent critical level in relation to yield may be partly due to (a) differences in maturity and type of tissues analysed, (b) soil heterogeneity, (c) other limiting growth factors.In pastures on potassium-deficient soils, grasses are more efficient at securing their potassium needs than associated clovers. When ryegrass-dominant pastures are analysed for the purpose of predicting responses of the clover component to potassium fertiliser, higher reference levels may be required than for pure clover stands.

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Section: Correlation Of Plant' Analytical Levels With Responses To Apmentioning

confidence: 99%

Potassium deficiency in pastures

McNaught¹

1958

New Zealand Journal of Agricultural Research

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“…Chandler et al (12) for alfalfa, Lundegârdh (49) for oats and small grains, Clements (18,19) and Borden (7,8) for sugar cane and numerous investigators for horticultural crops.…”

Section: B Application Of Plant Analysis For Diagnostic Purposesmentioning

confidence: 99%

Relationship between the chemical composition of corn leaves and yield responses from nitrogen and phosphorus fertilizer

Dumenil¹

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“…Chandler et al (1945) and Bray (1948) were among the first to use relative yields to relate crop responses of a nutrient applied as fertilizer with results of soils analysis, using it for K fertilization of corn. A similar relation was presented by Raij et al (1983) for corn experiments and resin-extractable soil P. From a research with N, P, and K for corn, the results of soil analyses proved to be adequate for the prediction of the degree of deficiency of P and K, but not for N (Raij et al, 1981).…”

Section: Introductionmentioning

confidence: 99%

A quadratic model for fertilizer recommendations based on results of soil analyses

Raij

Cantarella

1996

Communications in Soil Science and Plant Analysis

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The establishment of a quantitative relationship between crop yields and amounts of applied nutrients is essential for fertilizer recommendations. A model was developed that uses yield goals, results of a soil analysis, and cost/value ratios for the calculations of rates of nitrogen (N), phosphorus (P), and potassium (K) to apply to corn. The coefficients for the equation: Y = a 0 + a 1 X + a 2 X 2 , are calculatedIn these equations, Y m stands for maximum yield, X m is the quantity of applied nutrient correspondent to the maximum yield, Y 0 is the yield without application of the nutrient, and SI is the sufficiency index calculated from soil analysis calibration curves. Experimental results of 25 NPK experiments with corn were used to evaluate the model. Modelestimated values of optimal nutrient rates and yield increases were, on the average, slightly higher than the experimental values for the three nutrients, with pronounced differences for isolated cases. However, profits calculated with the response curves, considering the experimental optima and the most economical rates given by the model, were quite close. The model can be applied using yield goals and organic matter, P and K given by soil analysis as inputs, giving calculations of optimal rates of nutrients, expected yield increases, and profits. 1595

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A Study of Techniques for Predicting the Potassium and Boron Requirements of Alfalfa: I. The Influence of Muriate of Potash and Borax on Yield, Deficiency Symptoms, and Potassium Content of Plant and Soil

Cited by 15 publications

References 0 publications

Potassium deficiency in pastures

Potassium deficiency in pastures

Relationship between the chemical composition of corn leaves and yield responses from nitrogen and phosphorus fertilizer

A quadratic model for fertilizer recommendations based on results of soil analyses

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