Knowledge Center Catalog

Performance and sensitivity of the DSSAT crop growth model insimulating maize yield under conservation agriculture (Record no. 58017)

MARC details
000 -LEADER
fixed length control field 04091nab a22003017a 4500
001 - CONTROL NUMBER
control field 58017
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220920151104.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121211s2016p||pn |||p op||| | d eng
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.eja.2016.02.001
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Corbeels, M.
Field link and sequence number Job0042
Miscellaneous information Formerly Sustainable Intensification Program
9 (RLIN) 1964
245 10 - TITLE STATEMENT
Title Performance and sensitivity of the DSSAT crop growth model insimulating maize yield under conservation agriculture
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Amsterdam (Netherlands) :
Name of publisher, distributor, etc. Elsevier,
Date of publication, distribution, etc. 2016.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. With the practice of conservation agriculture (CA) soil water and nutrient dynamics are modified by the presence of a mulch of crop residues and by reduced or no-tillage. These alterations may have impacts on crop yields. The crop growth model DSSAT (Decision Support Systems for Agrotechnology Transfer) has recently been modified and used to simulate these impacts on crop growth and yield. In this study, we applied DSSAT to a long-term experiment with maize (Zea mays L.) grown under contrasting tillage and residue management practices in Monze, Southern Province of Zambia. The aim was (1) to assess the capability of DSSAT in simulating crop responses to mulching and no-tillage, and (2) to understand the sensitivity of DSSAT model output to input parameters, with special attention to the determinants of the model response to the practice of CA. The model was first parameterized and calibrated for the tillage treatment (CP) of the experiment, and then run for the CA treatment by removing tillage and applying a mulch of crop residues in the model. In order to reproduce observed maize yields under the CP versus CA treatment, optimal root development in the model was restricted to the upper 22 cm soil layer in the CP treatment, while roots could optimally develop to 100 cm depth under CA. The normalized RMSE values between observed and simulated maize phenology and total above ground biomass and grain yield indicated that the CA treatment was equally well simulated as the CP treatment, for which the model was calibrated. A global sensitivity analysis using co-inertia analysis was performed to describe the DSSAT model response to 32 model input parameters and crop management factors. Phenological cultivar parameters were the most influential model parameters. This analysis also demonstrated that in DSSAT mulching primarily affects the surface soil organic carbon content and secondly the total soil moisture content, since it is negatively correlated with simulated soil water evaporation and run-off. The correlations between the input parameters or crop management factors and the output variables were stable over a wide range of seasonal rainfall conditions. A local sensitivity analysis of simulated maize yield to three key parameters for the simulation of the CA practice revealed that DSSAT responds to mulching particularly when rooting depth is restricted, i.e., when water is a critical limiting crop growth factor. The results of this study demonstrate that DSSAT can be used to simulate crop responses to CA, in particular through simulated mulching effects on the soil water balance, but other, often site-specific, factors that are not modeled by DSSAT, such as plough pan formation under CP or improved soil structure under CA, may need to be considered in the model parameterization to reproduce the observed crop yield effects of CA versus CP.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Number of CIMMYT Informa CIMMYT Informa: 1978 (October 25, 2016)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Conservation agriculture
9 (RLIN) 2619
Source of heading or term AGROVOC
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3736
Personal name Chirat, G.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3737
Personal name Messad, S.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thierfelder, C.
Miscellaneous information Sustainable Intensification Program
-- Sustainable Agrifood Systems
Field link and sequence number INT2939
9 (RLIN) 877
773 0# - HOST ITEM ENTRY
Title European Journal of Agronomy
Record control number u446870
Related parts v. 76, p. 41-53
Place, publisher, and date of publication Amsterdam (Netherlands) : Elsevier, 2016.
International Standard Serial Number 1161-0301
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Access only for CIMMYT Staff
Uniform Resource Identifier https://hdl.handle.net/20.500.12665/121
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
10/06/2016   10/06/2016 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 10/06/2016

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