Assessing the effects of management and hydro-edaphic conditions on rice in contrasting East African wetlands using experimental and modelling approaches

This page lists all metadata that was entered for this dataset. Only registered users of the TRR228DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title:Main Title: Assessing the effects of management and hydro-edaphic conditions on rice in contrasting East African wetlands using experimental and modelling approaches
Description:Abstract: Lowland rice yields in East Africa remain low despite favourable hydro-edaphic conditions as benefits from improved cultural management vary between and within wetland types and interactions are poorly understood. Hence, multi-year agronomic field experiments were established to assess the differential responses of lowland rice to management (rainfed 0 and 60 kg N ha−1, and irrigated 120 kg N ha−1 + 60 kg PK ha−1) and field position within a floodplain in Tanzania (fringe and middle positions) and an inland valley in Uganda (valley-fringe, mid-valley and valley-bottom positions). We then calibrated and validated the Agricultural Production System Simulator (APSIM), evaluated the importance of external water table data as model input and assessed the relative effects of water and N stress on yield as affected by wetland type and field position. Yields of 3.2–9.2 Mg ha−1 were attained in the floodplain and of 1.9–6.3 Mg ha−1 in the inland valley, highlighting the substantial scope to boost yields beyond current regional means of around 2 Mg ha−1. The model estimated grain yields in both wetlands well within the experimental uncertainty during model validation (n = 12, r2 = 0.76, RMSEa= 0.92 Mg ha−1 in the floodplain; n = 18, r2 = 0.71, RMSEa= 0.72 Mg ha−1 in the inland valley). Results further emphasised the importance of external water table data for sound model performance as they evidently alleviated seasonal droughts. Simulated abiotic stress patterns additionally highlighted hydro-edaphic differences from field positioning within and between both wetlands. While low soil N was generally the main yield constraint, water stress was comparably more pronounced in the inland valley and supplemental irrigation thus more beneficial on yield. Hydro-edaphic field conditions favoured rice production in the floodplain’s fringe with comparably lower N stress, while large spatial-temporal variabilities prevented a distinct delineation based on toposequential field positions in the inland valley.
Identifier:10.1016/j.agwat.2021.107146 (DOI)
Responsible Party
Creators:Kristina Grotelüschen (Author), Donald S. Gaydon (Author), Matthias Langensiepen (Author), Susanne Ziegler (Author), Julius Kwesiga (Author), Kalimuthu Senthilkumar (Author), Anthony M. Withbread (Author), Mathias Becker (Author)
Funding Reference:Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 228: Future Rural Africa: Future-making and social-ecological transformation
Publisher:Elsevier
Publication Year:2021
Topic
TRR228 Topic:Agriculture
Related Subproject:A3
Subjects:Keywords: Rice, Agriculture
Geogr. Information Topic:Farming
File Details
Filename:GrotelueschenRicePaper.pdf
Data Type:Text - Publication
File Size:4.8 MB
Dates:Accepted: 21.08.2021
Available: 17.09.2021
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Only Project Members
General Access and Use Conditions:According to the TRR228DB data policy agreement.
Access Limitations:According to the TRR228DB data policy agreement.
Licence:[TRR228DB] Data policy agreement
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Agricultural Water Management
Issue:107146
Volume:258
Number of Pages:14 (1 - 14)
Metadata Details
Metadata Creator:Matthias Langensiepen
Metadata Created:18.04.2023
Metadata Last Updated:18.04.2023
Subproject:A3
Funding Phase:1
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:47
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Feature
A download is not possibleDownload