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The estimation of the phosphorus fertilizer requirements of wheat in southern New South Wales by soil analysis

Colwell, JD·1963·Australian Journal of Experimental Agriculture and Animal Husbandry

Abstract

The usefulness of five contrasting methods of soil analysis for estimating the phosphorus fertilizer requirements of wheat in southern New South Wales has been investigated, using yield data provided by 27 field experiments. Because the level of yield of wheat is strongly affected by seasonal environmental conditions poor correlations are obtained between soil analysis and absolute or relative yield of wheat, Much better and often significant correlations are obtained between soil analysis and the absolute increase in yield from fertilizer application. The best correlations were obtained with an 0.5M NaHCO3 extraction of soil phosphorus. A regression response surface calculated from these relationships provides a method for making direct estimates of fertilizer requirements for maximum economic return to farmers under average climatic conditions. The precision of these estimates is limited more by the flatness of the response surface and uncontrolled variation in the field data, than by inadequacies in the representation of available phosphorus by the NaHCO3 analysis.

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Metadata

Authors
Colwell, J.
Venue
Australian Journal of Experimental Agriculture and Animal Husbandry
Published
1963-09-01
Volume
3
Issue
10
Pages
190-197
ISSN
0045-060X (ISSN-L)
OpenAlex
W2010858820
Cited by
1,034
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The estimation of the phosphorus fertilizer requirements of wheat in southern New South Wales by soil analysis. https://app.cochat.ai/papers/10.1071/ea9630190
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Colwell, J. (1963). The estimation of the phosphorus fertilizer requirements of wheat in southern New South Wales by soil analysis. Australian Journal of Experimental Agriculture and Animal Husbandry. https://doi.org/10.1071/ea9630190

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.