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https://hdl.handle.net/1959.11/15063
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DC Field | Value | Language |
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dc.contributor.author | Rahman, Muhammad Moshiur | en |
dc.contributor.author | Lamb, David | en |
dc.contributor.author | Stanley, John | en |
dc.contributor.author | Trotter, Mark | en |
dc.date.accessioned | 2014-05-14T12:01:00Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Crop and Pasture Science, 65(4), p. 400-409 | en |
dc.identifier.issn | 1836-5795 | en |
dc.identifier.issn | 1836-0947 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/15063 | - |
dc.description.abstract | Monitoring pasture growth rate is an important component of managing grazing livestock production systems. In this study, we demonstrate that a pasture growth rate (PGR) model, initially designed for NOAA AVHRR normalised difference vegetation index (NDVI) and since adapted to MODIS NDVI, can provide PGR at spatial resolution of ~2 m with an accuracy of ~2 kg DM/ha.day when incorporating in-situ sensor data. A PGR model based on light-use efficiency (LUE) was combined with 'in-situ' measurements from proximal weather (temperature), plant (fraction of absorbed photosynthetically active radiation, fAPAR) and soil (relative moisture) sensors to calculate the growth rate of a tall fescue pasture. Based on an initial estimate of LUEmax for the candidate pasture, followed by a process of iterating LUEmax to reduce prediction errors, the model was capable of estimating PGR with a root mean square error of 1.68 kg/ha.day (R² = 0.96, P-value ≈ 0). The iterative process proved to be a convenient means of estimating LUE of this pasture (1.59 g DM/MJ APAR) under local conditions. The application of the LUE-PGR approach to developing an in-situ pasture growth rate monitoring system is discussed. | en |
dc.language | en | en |
dc.publisher | CSIRO Publishing | en |
dc.relation.ispartof | Crop and Pasture Science | en |
dc.title | Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiency | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1071/CP14071 | en |
dc.subject.keywords | Agricultural Spatial Analysis and Modelling | en |
local.contributor.firstname | Muhammad Moshiur | en |
local.contributor.firstname | David | en |
local.contributor.firstname | John | en |
local.contributor.firstname | Mark | en |
local.subject.for2008 | 070104 Agricultural Spatial Analysis and Modelling | en |
local.subject.seo2008 | 830406 Sown Pastures (excl. Lucerne) | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | Office of Faculty of Science, Agriculture, Business and Law | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | mrahma37@une.edu.au | en |
local.profile.email | dlamb@une.edu.au | en |
local.profile.email | jstanle4@une.edu.au | en |
local.profile.email | mtrotte3@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20140512-13016 | en |
local.publisher.place | Australia | en |
local.format.startpage | 400 | en |
local.format.endpage | 409 | en |
local.identifier.scopusid | 84900400788 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 65 | en |
local.identifier.issue | 4 | en |
local.contributor.lastname | Rahman | en |
local.contributor.lastname | Lamb | en |
local.contributor.lastname | Stanley | en |
local.contributor.lastname | Trotter | en |
dc.identifier.staff | une-id:mrahma37 | en |
dc.identifier.staff | une-id:dlamb | en |
dc.identifier.staff | une-id:jstanle4 | en |
dc.identifier.staff | une-id:mtrotte3 | en |
local.profile.orcid | 0000-0001-6430-0588 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:15278 | en |
local.identifier.handle | https://hdl.handle.net/1959.11/15063 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiency | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Rahman, Muhammad Moshiur | en |
local.search.author | Lamb, David | en |
local.search.author | Stanley, John | en |
local.search.author | Trotter, Mark | en |
local.uneassociation | Unknown | en |
local.year.published | 2014 | en |
local.subject.for2020 | 300206 Agricultural spatial analysis and modelling | en |
local.subject.seo2020 | 100505 Sown pastures (excl. lucerne) | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science |
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