Precision N rates for dryland farming?

Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region

Research output: Book chapter/Published conference paperConference paper

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Abstract

This study focuses on the questions of profitability and risk in dryland precision N rate applications. Poor-repeatability of past yield-rankings observed over time, combined with uncertainty in rainfalls following N applications, reduce predictability of outcomes such that precision N rates performed no better in financial terms than uniform applications.
Original languageEnglish
Title of host publication63rd AARES Annual Conference proceedings
Publisher Australasian Agricultural and Resource Economics Society Ltd
Number of pages35
Publication statusPublished - 14 Feb 2019
Event63rd Annual Conference of the Australasian Agricultural and Resource Economics Society (AARES 2019) - Melbourne Convention and Exhibition Centre , Melbourne, Australia
Duration: 12 Feb 201915 Feb 2019
Conference number: 63rd
http://www.aares.org.au/imis_prod/AARES2016/Events/2019_Annual_Conference/AARES2016/Event/2019AC/2019AC_Home_Page.aspx?hkey=6354dd3f-4265-4364-b3cd-fa026db77108 (conference website)
http://www.aares.org.au/imis_prod/documents/2019AC/AARES-2019-FINAL-PROGRAM.pdf (conference program)

Conference

Conference63rd Annual Conference of the Australasian Agricultural and Resource Economics Society (AARES 2019)
CountryAustralia
CityMelbourne
Period12/02/1915/02/19
Internet address

Fingerprint

dryland farming
nitrogen
profitability
ranking
rainfall
analysis
rate
plain

Grant Number

  • 102349

Cite this

Nordblom, T., Hutchings, T., Godfrey, S., & Schefe, C. (2019). Precision N rates for dryland farming? Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region. In 63rd AARES Annual Conference proceedings Australasian Agricultural and Resource Economics Society Ltd .
Nordblom, Thomas ; Hutchings, Timothy ; Godfrey, Sosheel ; Schefe, Cassandra . / Precision N rates for dryland farming? Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region. 63rd AARES Annual Conference proceedings. Australasian Agricultural and Resource Economics Society Ltd , 2019.
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title = "Precision N rates for dryland farming?: Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region",
abstract = "This study focuses on the questions of profitability and risk in dryland precision N rate applications. Poor-repeatability of past yield-rankings observed over time, combined with uncertainty in rainfalls following N applications, reduce predictability of outcomes such that precision N rates performed no better in financial terms than uniform applications.",
keywords = "Precision Agriculture, Site-Specific Nitrogen Applications (SSNA), Growing Season Rainfall, EM38, Commodity Prices, Economic Modelling, Financial Modelling, Cumulative Interest, Risk Profile",
author = "Thomas Nordblom and Timothy Hutchings and Sosheel Godfrey and Cassandra Schefe",
year = "2019",
month = "2",
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Nordblom, T, Hutchings, T, Godfrey, S & Schefe, C 2019, Precision N rates for dryland farming? Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region. in 63rd AARES Annual Conference proceedings. Australasian Agricultural and Resource Economics Society Ltd , 63rd Annual Conference of the Australasian Agricultural and Resource Economics Society (AARES 2019), Melbourne, Australia, 12/02/19.

Precision N rates for dryland farming? Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region. / Nordblom, Thomas; Hutchings, Timothy; Godfrey, Sosheel; Schefe, Cassandra .

63rd AARES Annual Conference proceedings. Australasian Agricultural and Resource Economics Society Ltd , 2019.

Research output: Book chapter/Published conference paperConference paper

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Nordblom T, Hutchings T, Godfrey S, Schefe C. Precision N rates for dryland farming? Financial analysis of variable-rate Nitrogen (VRN) in the Riverine Plains Region. In 63rd AARES Annual Conference proceedings. Australasian Agricultural and Resource Economics Society Ltd . 2019