Effect of rooting depth, plant density and planting date on maize (Zea mays L.) yield and water use efficiency in semi-arid Zimbabwe: Modelling with AquaCrop

Under low and poorly distributed rainfall higher food production can be achieved by increasing crop water use efficiency (WUE) through optimum soil fertility management and selection of deep-rooting cultivars, appropriate plant density and planting dates. We explored AquaCrop's applicability in selecting adaptive practices for improving maize yield and WUE under rainfed smallholder farming in semi-arid Zimbabwe. AquaCrop was first tested using field measurements without calibration. The model was subsequently applied to estimate the effect of effective rooting depth (ERD), plant density and planting date on maize yield. Simulations were done with daily rainfall data for 25 seasons. During model testing AquaCrop simulated canopy cover development well and simulated biomass accumulation showed good agreement with measured values. The model overestimated soil water, and observed final biomass and grain yield were 96 and 92% of simulated values, respectively. Model application showed that increasing ERD from 0.40m at 32,500plantsha−1 to 0.60m at 44,400plantsha−1 increased grain yield from 6.0 to 7.8tha−1, biomass water use efficiency by 20.5%, grain water use efficiency by 23.6% and transpiration water use efficiency by 26.8%. At 0.60 and 0.80m ERD and 44,400plantsha−1, biomass and grain yield, and WUE, were similar. Drainage below the rootzone was ≥40% of non-productive water losses in normal and wet seasons whilst soil evaporation contributed 47% in dry seasons at 0.80m ERD. To improve yield and WUE, we recommend: incorporation of deep-rooting legumes, deeper-rooting cultivars (≥0.60m effective rooting depth) and practices that improve ERD, a plant density of 44,400plantsha−1; and practices that reduce soil evaporation e.g. mulching and addition of organic fertilisers to improve soils’ available water capacity and enhance response to mineral fertilisers. Further research should include field testing of results from this study with farmers.

[1]  H. Vogel Tillage effects on maize yield, rooting depth and soil water content on sandy soils in Zimbabwe , 1993 .

[2]  Kenneth G. Renard,et al.  Runoff Curve Number Variation with Drainage Area, Walnut Gulch, Arizona , 1996 .

[3]  R. Stričević,et al.  Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower , 2011 .

[4]  John H. Prueger,et al.  Managing Soils to Achieve Greater Water Use Efficiency , 2001 .

[5]  T. Mhizha,et al.  Increase of yield stability by staggering the sowing dates of different varieties of rainfed maize in Zimbabwe , 2010 .

[6]  D. Raes,et al.  AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize , 2009 .

[7]  Mark A. Nearing,et al.  Curve numbers and Green-Ampt effective hydraulic conductivities. , 1996 .

[8]  I. P. Anderson,et al.  Physical resource inventory of the Communal Lands of Zimbabwe - An overview (NRI Bulletin 60) , 1993 .

[9]  A. Blum Drought resistance, water-use efficiency, and yield potential-are they compatible, dissonant, or mutually exclusive? , 2005 .

[10]  R. Evans,et al.  Soil, water, and crop characteristics important to irrigation scheduling , 1991 .

[11]  J. Rockström,et al.  The New Blue and Green Water Paradigm: Breaking New Ground for Water Resources Planning and Management , 2006 .

[12]  E. Mashonjowa,et al.  Using seasonal climate forecasts to improve maize production decision support in Zimbabwe , 2011 .

[13]  I. W. Nyakudya,et al.  Infiltration and planting pits for improved water management and maize yield in semi-arid Zimbabwe , 2014 .

[14]  C. B. Tanner,et al.  Water-Use Efficiency in Crop Production , 1984 .

[15]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[16]  D. Raes,et al.  Crop yield response to water , 2012 .

[17]  I. W. Nyakudya,et al.  Water management options based on rainfall analysis for rainfed maize (Zea Mays L.) production in Rushinga district Zimbabwe , 2011 .

[18]  G. Bouyoucos Hydrometer Method Improved for Making Particle Size Analyses of Soils1 , 1962 .

[19]  S. Evett,et al.  Validating the FAO AquaCrop Model for Irrigated and Water Deficient Field Maize , 2009 .

[20]  P. Kaumbutho,et al.  Conservation Tillage with Animal Traction , 1999 .

[21]  Gerrit Hoogenboom,et al.  Assessing crop management options with crop simulation models based on generated weather data , 2007 .

[22]  K. Giller,et al.  When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture , 2013 .

[23]  H. C. Hanson,et al.  An Agricultural Survey of Southern Rhodesia. Part I. Agro-Ecological Survey , 1962 .

[24]  H. Farahani,et al.  Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton , 2009 .

[25]  Suhas P. Wani,et al.  Managing water in rainfed agriculture—The need for a paradigm shift , 2010 .

[26]  D. Raes,et al.  AquaCrop — The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description , 2009 .

[27]  J. F. Clewett,et al.  Seasonal climate forecasts and decision support systems for drought prone agriculture: a case study based on the development and application of the Rainman climate analysis software , 2002 .

[28]  K. Giller,et al.  Nitrate-N dynamics following improved fallows and maize root development in a Zimbabwean sandy clay loam , 2003, Agroforestry Systems.

[29]  Leo Stroosnijder,et al.  To tie or not to tie ridges for water conservation in Rift Valley drylands of Ethiopia , 2012 .

[30]  S. Twomlow,et al.  Reduced tillage, mulching and rotational effects on maize (Zea mays L.), cowpea (Vigna unguiculata (Walp) L.) and sorghum (Sorghum bicolor L. (Moench)) yields under semi-arid conditions , 2012 .

[31]  J. Feyen,et al.  Effect of tied-ridging on soil water status of a maize crop under Malawi conditions , 2000 .

[32]  D. Raes,et al.  AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles , 2009 .

[33]  Theodore C. Hsiao,et al.  Water Stress and Dynamics of Growth and Yield of Crop Plants , 1976 .

[34]  Dirk Raes,et al.  Evaluation of first planting dates recommended by criteria currently used in Zimbabwe , 2004 .

[35]  Adrian C. Newton,et al.  Adapting crops and cropping systems to future climates to ensure food security: The role of crop modelling , 2013 .

[36]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[37]  L. Stroosnijder Modifying land management in order to improve efficiency of rainwater use in the African highlands. , 2009 .

[38]  A. Munodawafa,et al.  Improving water utilization in maize production through conservation tillage systems in semi-arid Zimbabwe , 2008 .

[39]  Y. Pachepsky,et al.  Effect of soil organic carbon on soil water retention , 2003 .

[40]  P. Krause,et al.  COMPARISON OF DIFFERENT EFFICIENCY CRITERIA FOR HYDROLOGICAL MODEL ASSESSMENT , 2005 .

[41]  E. Newman,et al.  A METHOD OF ESTIMATING THE TOTAL LENGTH OF ROOT IN A SAMPLE , 1966 .