Knowledge Center Catalog

Modelling sugarcane production systems I. Development and performance of the sugarcane module (Record no. 29298)

MARC details
000 -LEADER
fixed length control field 02226nab a22002897a 4500
001 - CONTROL NUMBER
control field G96871
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171220113551.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121211b |||p||p||||||| |z||| |
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/S0378-4290(98)00167-1
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title En
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Keating, B.A.
245 00 - TITLE STATEMENT
Title Modelling sugarcane production systems I. Development and performance of the sugarcane module
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc. 1999
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0378-4290
520 ## - SUMMARY, ETC.
Summary, etc. Research on more productive and sustainable sugarcaneproductionsystems would be aided by a comprehensive simulator of the sugarcane crop that is cognisant of a broader crop-soil-management system. A sugarcane crop model is described that can be deployed in the APSIM framework for agricultural systems simulation. The model operates on a daily time step, grows a leaf canopy, uses intercepted radiation to produce assimilate, and partitions this assimilate into leaf, structural stalk and sugar. The crop physiological processes represented in the model respond to the radiation and temperature environment and are sensitive to water and nitrogen supply. The model simulates growth, water use, N accumulation, sugar dry weight and fresh cane yield for plant and ratoon crops in response to climate, soil, management and genotypic factors. The model was developed on 35 datasets from Australia, Hawaii, South Africa and Swaziland, covering a wide range of crop classes, latitudes, water regimes and nitrogen supply conditions. Coefficients of determination for model predictions compared to observed data included 0.79 for LAI, 0.93 for crop biomass, 0.83 for stalk sucrose and 0.86 for N accumulation in above ground tissues. The particular strengths of this model are discussed in the context of agricultural systems simulation.
546 ## - LANGUAGE NOTE
Language note English
591 ## - CATALOGING NOTES
Affiliation Elsevier
595 ## - COLLECTION
Collection Reprints Collection
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huth, N.I.,
Relator term coaut.
9 (RLIN) 2213
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Muchow, R.C.,
Relator term coaut.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Robertson, M.J.,
Relator term coaut.
773 0# - HOST ITEM ENTRY
Title Field Crops Research
Related parts v. 61, no. 3, p. 253-271
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
07/03/2017   07/03/2017 Article Not Lost     Reprints Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2017

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