European Journal of Soil Science, volume 68, issue 6, pages 873-885

A comparison of soil tests for available phosphorus in long-term field experiments in Europe

S Nawara 1
T Van Dael 1
R. Merckx 1
Fien Amery 2
Annemie Elsen 3
W Odeurs 3
H Vandendriessche 3, 4
S McGrath 5
C. ROISIN 6
C Jouany 7
S. Pellerin 8
Pascal Denoroy 8
B. Eichler-Löbermann 9
Gary Borjesson 10
Peter Goos 11, 12
W Akkermans 11
E Smolders 1
Show full list: 17 authors
2
 
Institute for Agricultural and Fisheries Research; Plant Sciences Unit - Crop Husbandry and Environment, Burgemeester Van Gansberghelaan 109, 9820 Merelbeke Belgium
3
 
Soil Service of Belgium; Willem De Croylaan 48, 3001 Heverlee Belgium
6
 
Walloon Center of Agricultural Research; Rue du Bordia 4, 5030 Gembloux Belgium
8
 
ISPA, Bordeaux Sciences Agro, INRA; 71 avenue Edouard Bourlaux, CS 20032 33882 Villenave d'Ornon CEDEX France
Publication typeJournal Article
Publication date2017-10-23
scimago Q1
SJR1.160
CiteScore8.2
Impact factor4
ISSN13510754, 13652389
Soil Science
Abstract
Summary Most soil tests for available phosphorus (P) perform rather poorly in predicting crop response. This study was set up to compare different established soil tests in their capacity to predict crop response across contrasting types of soil. Soil samples from long-term field experiments, the oldest >100 years old, were collected in five European countries. The total number of soil samples (n = 218), which differed in cropping and P treatment, and originated from 11 different soil types, were analysed with five tests: ammonium oxalate (Ox), ammonium lactate (AL), Olsen P, 0.01 m CaCl2 and the diffusive gradient in thin film (DGT). The first three tests denote available P quantity (Q), whereas the last two indicate P intensity (I) of the soil solution. All five tests were positively related to the crop yield data (n = 317). The Q-tests generally outperformed I-tests when evaluated with goodness of fit in Mitscherlich models, but critical P values of the I-tests varied the least among different types of soil. No test was clearly superior to the others, except for the oxalate extraction, which was generally poor. The combination of Q- and I-tests performed slightly better for predicting crop yield than any single soil P test. This Q + I analysis explains why recent successes with I-tests (e.g. DGT) were found for soils with larger P sorption than for those in the present study. This systematic evaluation of soil tests using a unique compilation of established field trials provides critical soil P values that are valid across Europe. Highlights We compared soil P tests for predicting crop response across contrasting soil types. No test was clearly superior to the others except for the oxalate extraction, which was generally poor. This study suggests that intensity tests do not perform markedly better than quantity tests. The evaluation of soil P tests on this unique dataset provided critical soil P values across Europe.

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