4.7 Article

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

Journal

AGRICULTURAL WATER MANAGEMENT
Volume 258, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.agwat.2021.107146

Keywords

APSIM; Floodplain; Inland valley; Oryza spp.; Tanzania; Uganda

Funding

  1. German Federal Ministry of Education and Research (BMBF)
  2. German Federal Ministry of Economic Cooperation and Development (BMZ) [FKZ 031A250 A-H]
  3. German Research Foundation (DFG) [TRR 228/1]

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Despite favorable hydro-edaphic conditions, lowland rice yields in East Africa remain low due to variations in cultural management practices and poor understanding of interactions. Multi-year field experiments in Tanzania and Uganda revealed the potential to boost yields beyond current regional means, with water table data playing a crucial role in model performance and highlighting the impact of water and N stress on yield.
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, r(2) = 0.76, RMSEa= 0.92 Mg ha(-1) in the floodplain; n = 18, r(2) = 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.

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