A methodology for analysis of sugarcane productivity trends - I. Analysis across districts

Ellis, R. N., Basford, K. E., Cooper, M., Leslie, J. K. and Byth, D. E. (2001) A methodology for analysis of sugarcane productivity trends - I. Analysis across districts. Australian Journal of Agricultural Research, 52 10: 1001-1009.


Author Ellis, R. N.
Basford, K. E.
Cooper, M.
Leslie, J. K.
Byth, D. E.
Title A methodology for analysis of sugarcane productivity trends - I. Analysis across districts
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
Publication date 2001
Sub-type Article (original research)
DOI 10.1071/AR00130
Volume 52
Issue 10
Start page 1001
End page 1009
Total pages 9
Place of publication Canberra
Publisher CSIRO
Collection year 2001
Language eng
Subject C1
230204 Applied Statistics
620106 Sugar
Abstract Historically, few articles have addressed the use of district level mill production data for analysing the effect of varietal change on sugarcane productivity trends. This appears to be due to lack of compiled district data sets and appropriate methods by which to analyse these data. Recently, varietal data on tonnes of sugarcane per hectare (TCH), sugar content (CCS), and their product, tonnes of sugar content per hectare (TSH) on a district basis, have been compiled. This study was conducted to develop a methodology for regular analysis of such data from mill districts to assess productivity trends over time, accounting for variety and variety x environment interaction effects for 3 mill districts (Mulgrave, Babinda, and Tully) from 1958 to 1995. Restricted maximum likelihood methodology was used to analyse the district level data and best linear unbiased predictors for random effects, and best linear unbiased estimates for fixed effects were computed in a mixed model analysis. In the combined analysis over districts, Q124 was the top ranking variety for TCH, and Q120 was top ranking for both CCS and TSH. Overall production for TCH increased over the 38-year period investigated. Some of this increase can be attributed to varietal improvement, although the predictors for TCH have shown little progress since the introduction of Q99 in 1976. Although smaller gains have been made in varietal improvement for CCS, overall production for CCS decreased over the 38 years due to non-varietal factors. Varietal improvement in TSH appears to have peaked in the mid-1980s. Overall production for TSH remained stable over time due to the varietal increase in TCH and the non-varietal decrease in CCS.
Keyword Agriculture, Multidisciplinary
Blup
Combined Analysis
Reml
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
 
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