Knowledge Center Catalog

Characterising production environments for maize in eastern and southern Africa using the APSIM Model (Record no. 59101)

MARC details
000 -LEADER
fixed length control field 03243nab a22003257a 4500
001 - CONTROL NUMBER
control field 59101
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250808020847.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180124b2017 ne |||p| p||| 00| 0 eng d
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.agrformet.2017.08.023
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 6746
Personal name Seyoum, S.
245 10 - TITLE STATEMENT
Title Characterising production environments for maize in eastern and southern Africa using the APSIM Model
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Amsterdam, Netherlands :
Name of publisher, distributor, etc. Elsevier,
Date of publication, distribution, etc. 2017.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. Maize is a staple food crop in eastern and southern Africa with significant contribution for food security of this vast region. Efforts to breed superior maize cultivars for the region are challenged by high genotype x environment interactions arising mainly due to variable soil moisture supply caused by high temporal and spatial variability in rainfall. Information on major drought patterns and their frequencies, which can assist in dealing with such interactions in the region, however, is not available. The objectives of this study were therefore to (i) identify major drought patterns and their frequencies, (ii) identify iso-environments based on the similarity of drought patterns and (iii) explore scope for yield improvement through optimising genotype and management in various drought patterns. We used the well validated APSIM model to characterise major drought patterns and their frequencies experienced by maize cropping systems in the target population of environments spread across six countries of the region including Ethiopia, Kenya, Tanzania, Malawi, Mozambique and Zimbabwe. The data-base used for the model simulations consisted of 35 locations, 17–86 years of daily climate records and three cultivars. The dynamic changes in water supply-demand ratio in each season was simulated against the thermal time for each cultivar across the 35 locations and clustering analysis was used to cluster the major drought patterns. The analysis identified four major drought patterns characterised by low-stress, mid-season drought, late terminal drought and early-terminal drought patterns, occurring at 46%, 11%, 22% and 21% of the years, respectively. The frequencies of these patterns varied in relation to locations, genotypes and management. Yield reduction of up to 80% was observed for early terminal drought compared with low-stress drought pattern. There was significant scope for yield improvement through manipulating genotype and management. These results have important implications for germplasm enhancement and deployment over similar environments in the region.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Maize CRP
Maize Flagship Projects FP3 - Stress resilient and nutritious maize
546 ## - LANGUAGE NOTE
Language note Text in English
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 Cropping systems
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1068
651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
9 (RLIN) 1954
Geographic name Southern Africa
Source of heading or term AGROVOC
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 6747
Personal name Chauhan, Y.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 6748
Personal name Rachaputi, R.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 6749
Personal name Fekybelu, S.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Prasanna, B.M.
Miscellaneous information Global Maize Program
-- Borlaug Institute for South Asia
Field link and sequence number INT3057
9 (RLIN) 887
773 0# - HOST ITEM ENTRY
Related parts v. 247, p. 445-453
Title Agricultural and Forest Meteorology
Record control number u444454
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Access only for CIMMYT Staff
Uniform Resource Identifier http://libcatalog.cimmyt.org/Download/cis/59101.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Article
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
01/24/2018   01/24/2018 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 01/24/2018

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