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Article

Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland

1
Center for Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa 1000, Ethiopia
2
Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 98, Hobart, TAS 7001, Australia
3
Commonwealth Scientific and Industrial Research Organization, Private Bag 12, Hobart, TAS 7001, Australia
4
Commonwealth Scientific and Industrial Research Organization, 203 Tor St, Toowoomba, QLD 4350, Australia
*
Author to whom correspondence should be addressed.
Forests 2020, 11(11), 1175; https://doi.org/10.3390/f11111175
Received: 16 September 2020 / Revised: 29 October 2020 / Accepted: 3 November 2020 / Published: 4 November 2020
(This article belongs to the Section Forest Ecology and Management)
Poor agricultural productivity has led to food shortages for smallholder farmers in Ethiopia. Agroforestry may improve food security by increasing soil fertility, crop production, and livelihoods. Agroforestry simulation models can be useful for predicting the effects of tree management on crop growth when designing modifications to these systems. The Agricultural Production Systems sIMulator (APSIM) agroforestry tree-proxy model was used to simulate the response of maize yield to N fertilizer applications and tree pruning practices in the parkland agroforestry system in the Central Rift Valley, Ethiopia. The model was parameterized and tested using data collected from an experiment conducted under trees and in crop-only plots during the 2015 and 2016 growing seasons. The treatments contained three levels of tree pruning (100% pruned, 50% pruned, and unpruned) as the main plots, and N fertilizers were applied to maize at two rates (9 or 78 kg N ha−1) as sub-plots. Maize yield predictions across two years in response to tree pruning and N applications under tree canopies were satisfactorily simulated (NSE = 0.72, RSR = 0.51, R2 = 0.8). Virtual experiments for different rates of N, pruning levels, sowing dates, and cultivars suggest that maize yield could be improved by applying fertilizers (particularly on crop-only plots) and by at least 50% pruning of trees. Optimal maize yield can be obtained at a higher rate of fertilization under trees than away from them due to better water relations, and there is scope for improving the sowing date and cultivar. Across a 34-year range of recent climate, small increases in yields due to optimum N-fertilizing and pruning were probably limited by nutrient limitations other than N, but the highest yields were consistently in the 2–4 m zone under trees. These virtual experiments helped to form hypotheses regarding fertilizers, pruning, and the effects of trees on soil that warrant further field evaluation. View Full-Text
Keywords: Ethiopia; simulation; APSIM; water; nitrogen; light; roots; climate Ethiopia; simulation; APSIM; water; nitrogen; light; roots; climate
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MDPI and ACS Style

Dilla, A.M.; Smethurst, P.J.; Huth, N.I.; Barry, K.M. Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland. Forests 2020, 11, 1175. https://doi.org/10.3390/f11111175

AMA Style

Dilla AM, Smethurst PJ, Huth NI, Barry KM. Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland. Forests. 2020; 11(11):1175. https://doi.org/10.3390/f11111175

Chicago/Turabian Style

Dilla, Aynalem M., Philip J. Smethurst, Neil I. Huth, and Karen M. Barry 2020. "Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland" Forests 11, no. 11: 1175. https://doi.org/10.3390/f11111175

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