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RESEARCH ARTICLE
Contents Vol 47(7)

Potentially mineralisable nitrogen: relationship to crop production and spatial mapping using infrared reflectance spectroscopy

D. V. Murphy A C , M. Osman A , C. A. Russell B , S. Darmawanto A and F. C. Hoyle A
+ Author Affiliations
- Author Affiliations

A Soil Biology Group, School of Earth and Environment, The University of Western Australia, Crawley, WA 6009, Australia.

B Centre of Excellence in Natural Resource Management, Faculty of Natural and Agricultural Sciences, Albany, WA 6330, Australia.

C Corresponding author. Email: daniel.murphy@uwa.edu.au

Australian Journal of Soil Research 47(7) 737-741 https://doi.org/10.1071/SR08096
Submitted: 28 April 2008  Accepted: 22 June 2009   Published: 6 November 2009

Abstract

Accurate and rapid prediction of the spatial structure of soil nitrogen (N) supply would have both economic and environmental benefits with respect to improved inorganic N fertiliser management. Yet traditional biochemical indices of soil N supply have not been widely incorporated into fertiliser decision support systems or environmental risk monitoring programs. Here we illustrate that in a low-input, semi-arid environment, potentially mineralisable N (PMN, as determined by anaerobic incubation) explained 21% of wheat grain yield (P = 0.003), whereas there was no significant relationship between wheat grain yield and inorganic N fertiliser application. We also assessed the spatial pattern of PMN using a structured grid soil sampling strategy over a 10-ha area (180 separate samples, 0–0.1 m). PMN in each soil sample was determined by standard biochemical analysis and also predicted using a fourier transform infrared spectrometer (FTIR). Findings illustrate that FTIR was able to significantly predict (P < 0.001) PMN values in soil and has the advantage of enabling high sample throughput and rapid (within minutes) soil analysis. Given the relatively low cost of FTIR machines and ease of use, such an approach has practical application in situations where analysis cost or access to equipped laboratories has hindered the measurement and monitoring of soil N supply within paddocks and across regions.


Acknowledgment

This research was funded by the Australian Grains Research and Development Corporation.


References


Angus JF (1992) Soil N for wheat yield and grain protein. In ‘Transfer of biologically fixed nitrogen to wheat’. (Ed. J. Angus) pp. 109–116. (Grains Research and Development Corporation: Canberra, ACT)

Angus JF (2001) Nitrogen supply and demand in Australian agriculture. Australian Journal of Experimental Agriculture 41, 277–288.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Baxter SJ, Oliver MA, Gaunt J (2003) A geostatistical analysis of the spatial variation of soil mineral nitrogen and potentially available nitrogen within an arable field. Precision Agriculture 4, 213–226.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Bertrand I, Janik LJ, Holloway RE, Armstrong RD, McLaughlin MJ (2002) The rapid assessment of concentrations and solid phase associations of macro- and micronutrients in alkaline soils by mid-infrared diffuse reflectance spectroscopy. Australian Journal of Soil Research 40, 1339–1356.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Bundy LG , Meisinger JJ (1994) Nitrogen availability indices. In ‘Methods of soil analysis. Part 2’. SSSA Book Series 5. (Eds RW Weaver, et al.) pp. 951–984. (SSSA: Madison, WI)

Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field scale variability of soil properties in Central Iowa soils. Soil Science Society of America Journal 58, 1501–1511. open url image1

Cookson WR, Murphy DV (2004) Quantifying the contribution of dissolved organic matter to soil nitrogen cycling using 15N isotopic pool dilution. Soil Biology & Biochemistry 36, 2097–2100.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Corre MD, Schnabel RR, Stout WL (2002) Spatial and seasonal variation of gross nitrogen transformations and microbial biomass in a Northeastern US grassland. Soil Biology & Biochemistry 34, 445–457.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Dahiya IS, Anlauf R, Kersebaum KC, Richter J (1985) Spatial variability of some nutrient constituents of an alfisol from loess. 2. Geostatistical analysis. Zeitschrift fur Pflanzenernährung und Bodenkunde 148, 268–277.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Dell JM , Keating AJ , Milne J , Antoszewski J , Musca CA , Faraone L , Murphy D , Samardzic O (2007) Micro-electromechanical systems-based microspectrometers covering wavelengths from 1500 nm to 5000 nm. In ‘Next-generation spectroscopic technologies’. (Eds CD Brown, MA Druy, JP Coates). Proceedings of SPIE 6765, 1–9.

Giebel A, Wendroth O, Reuter HI, Kersebaum K-C, Schwarz J (2006) How representatively can we sample soil mineral nitrogen? Journal of Plant Nutrition and Soil Science 169, 52–59.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Haaland DM, Thomas VT (1988) Partial least-square methods for spectral analyses. I. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chemistry 60, 1193–1202.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Janik LJ, Merry RH, Skjemstad JO (1998) Can mid infrared diffuse reflectance analysis replace soil extractions? Australian Journal of Experimental Agriculture 38, 681–696.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Keeney DR, Bremner JM (1966) Comparison and evaluation of laboratory method of obtaining an index of soil nitrogen availability. Agronomy Journal 58, 498–503.
|  CAS |
open url image1

Magdoff F, Ross D, Amadon J (1984) A soil test for nitrogen availability to corn. Soil Science Society of America Journal 48, 1301–1304. open url image1

Mahmoudjafari M, Kluitenberg GJ, Halvin JL, Sisson JB, Schwab AP (1997) Spatial variability of nitrogen mineralisation at the field scale. Soil Science Society of America Journal 61, 1214–1221.
|  CAS |
open url image1

McTaggart IP, Smith KA (1993) Estimation of potentially mineralisable nitrogen in soil by KCl extraction. II. Comparison with soil N uptake in the field. Plant and Soil 157, 175–184.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Mimmo T, Reeves JB, McCarty GW, Galletti G (2002) Determination of biochemical measures by mid-infrared diffuse reflectance spectroscopy in soils within a landscape. Soil Science 167, 281–287.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Mulvaney RL, Khan SA, Hoeft RG, Brown HM (2001) A soil organic nitrogen fraction that reduces the need for nitrogen fertilisation. Soil Science Society of America Journal 65, 1164–1172.
|  CAS |
open url image1

Murphy DV, Fillery IRP, Sparling GP (1998) Seasonal fluctuations in gross N mineralisation, ammonium consumption and microbial biomass in a Western Australian soil under different land use. Australian Journal of Agricultural Research 49, 523–535.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Picone LI, Cabrera ML, Franzluebbers AJ (2002) A rapid method to estimate potentially mineralisable nitrogen in soil. Soil Science Society of America Journal 66, 1843–1847.
|  CAS |
open url image1

Robertson GP, Crum JR, Ellis BG (1993) The spatial variability of soil resources following long-term disturbance. Oecologia 96, 451–456.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Russell CA, Angus JF, Batten GD, Dunn BW, Williams RL (2002) The potential of NIR spectroscopy to predict nitrogen mineralisation in rice soils. Plant and Soil 247, 243–252.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Shepherd KD, Walsh MG (2002) Development of reflectance spectral libraries for characterisation of soil properties. Soil Science Society of America Journal 66, 988–998.
|  CAS |
open url image1

Skjemstad JO, Spouncer LR, Cowie B, Swift RS (2004) Calibration of the Rothamsted organic carbon turnover model (RothC ver. 26.3), using measurable soil organic carbon pools. Australian Journal of Soil Research 42, 79–88.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Smith JU (2001) Prediction of soil nitrogen supply by combined modelling and measurement. In ‘Proceedings of the SCI Meeting on Assessing Soil Fertility, Modelling, Measurement or both?’ London, 20 March 2001 (SCI Agriculture and Environment Group: London)

Stenger R, Priesack E, Beese F (1998) Distribution of inorganic nitrogen in agricultural soils at different dates and scales. Nutrient Cycling in Agroecosystems 50, 291–297.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Stockdale EA, Rees RM (1994) Relationships between biomass nitrogen and nitrogen extracted by other nitrogen availability methods. Soil Biology & Biochemistry 26, 1213–1220.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Walley F, Yates T, Van Groenigen JW, Van Kessel C (2002) Relationships between soil nitrogen availability indices, yield, and nitrogen accumulation of wheat. Soil Science Society of America Journal 66, 1549–1561.
|  CAS |
open url image1

Webster R, Oliver MA (1992) Sample adequately to estimate variograms of soil properties. Journal of Soil Science 43, 177–192.
| Crossref | GoogleScholarGoogle Scholar | open url image1