Forecasting Australian wheat yields with a weighted rainfall index

cg.contactunknown550@unknown.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerMurdoch Universityen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/0168-1923(94)90014-0en_US
cg.isijournalISI Journalen_US
cg.issn0168-1923en_US
cg.issue3-4en_US
cg.journalAgricultural and Forest Meteorologyen_US
cg.subject.agrovocaustraliaen_US
cg.volume71en_US
dc.contributorWalker, G Ken_US
dc.contributorLyons, T.Jen_US
dc.creatorStephens, D.Jen_US
dc.date.accessioned2021-10-21T21:36:57Z
dc.date.available2021-10-21T21:36:57Z
dc.description.abstractMonthly rainfall was correlated with shire wheat yields across the Australian wheat belt and an average correlation coefficient determined for each month. Based on this varying usefulness of rainfall throughout the year, a rainfall index that weights district rainfall over the wheat belt was found strongly to relate to state and national wheat yields. Accuracy of the model was improved by filtering out insignificant and excess rainfall according to the broad scale water holding capacities of regional soils. As one moves clockwise around Australia from the east the soil is less able to store water and truncated winter rainfall is a major problem on poorer soils. Assuming actual rainfall up to the forecast date and average rainfall beyond, hindcasted yields in 1988 and 1989 were within 10% of the final figure 3 months in advance of harvest. A marked trend to early sowing and higher yielding varieties, coupled with increased inputs caused the model to underestimate in 1990, 1991 and 1992. However, at the end of the year model predictions equalled, or were more accurate than official predictions in 4 out of 5 years. Large-area Australian yields appear to be a function of both rainfall amount and distribution, as well as the time of sowing and extent of frost in critical periods.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationD. J Stephens, G K Walker, T. J Lyons. (1/11/1994). Forecasting Australian wheat yields with a weighted rainfall index. Agricultural and Forest Meteorology, 71 (3-4), pp. 247-263.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/66269
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.sourceAgricultural and Forest Meteorology;71,(1994) Pagination 247-263en_US
dc.subjectwheat yieldsen_US
dc.titleForecasting Australian wheat yields with a weighted rainfall indexen_US
dc.typeJournal Articleen_US
dcterms.available1994-11-01en_US
dcterms.extent247-263en_US
mel.impact-factor5.734en_US

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