Soil data importance in guiding maize intensification and yield gap estimations in East Africa

References

• Affholder F, Poeydebat C, Corbeels M, Scopel E, Tittonell P. 2013. The yield gap of major food crops in family agriculture in the tropics: assessment and analysis through field surveys and modelling. Field Crops Res. 143:106−118.
   Web of Science ®Google Scholar
• AGRA. 2014. Africa agriculture status report: climate change and smallholder Agriculture in Sub- Saharan Africa. Nairobi (Kenya): Alliance for a green revolution in Africa (AGRA).
   Google Scholar
• Avellan T, Zabel F, Mauser W. 2012. The influence of input data quality in determining areas suitable for crop growth at the global scale – a comparative analysis of two soil and climate datasets. Soil Use Manage. 28:249−265.
   Web of Science ®Google Scholar
• Baijukya FP, de Ridder N, Masuki KF, Giller KE. 2005. Dynamics of banana-based farming systems in Bukoba District, Tanzania: changes in land use, cropping and cattle keeping. ‎Agric Ecosyst Environ. 106:395−406.
   Web of Science ®Google Scholar
• Batjes NH. 1996. Development of a world data set of soil water retention properties using pedo-transfer rules. Geoderma. 71:31−52.
   Web of Science ®Google Scholar
• Cassman KG, Grassini P, van Wart J. 2010. Crop yield potential, yield trends and global food security in a changing climate. In: Rosenzweig C, Hillel D, editors. Handbook of climate change and agroecosystems. London (UK): Imperial College Press; p. 37.
   Google Scholar
• Cenacchi C, Jawoo K. 2011. Effects of drought tolerance on maize yields in sub-Saharan Africa. Article prepared for the conference “increasing agricultural productivity and enhancing food security in Africa, New challenges and opportunities. Addis Ababa (Ethiopia): Africa Hall, UNECA.
   Google Scholar
• Challinor A, Wheeler T, Garforth C, Craufurd P, Kassam A. 2007. Assessing the vulnerability of food crop systems in Africa to climate change. Clim Change. 83:381−399.
   Web of Science ®Google Scholar
• Dalal RC. 1997. Soil organic phosphorus. Adv Agron. 29:83–117.
   Google Scholar
• Dzotsi KA, Jones JW, Adiku SGK, Naab JB, Singh U, Porter CH, Gijsman AJ. 2010. Modeling soil and plant phosphorus with DSSAT. Ecol Model. 221:2839−2849.
   Web of Science ®Google Scholar
• FAO. 2009. How to feed the world 2050. The special challenge for sub-Saharan Africa. High level expert forum. October 11-12. Rome (Italy): Food and Agriculture Organization (FAO).
   Google Scholar
• Folberth C, Yang H, Gaiser T, Abbaspour KC, Schulin R. 2013. Modeling maize yield responses to improvement in nutrient, water and cultivar inputs in sub-Saharan Africa. Agric Syst. 119:22−34.
   Web of Science ®Google Scholar
• Gijsman AJ, Hoogenboom G, Parton WJ, Kerridge PC. 2002. Modifying DSSAT crop models for low-input agricultural systems using a soil organic matter-Residue module from century. Agron J. 94:462−474.
   Web of Science ®Google Scholar
• HarvestChoice. 2009. Harmonized World Soil Database (HWSD). Washington (DC. and University of Minnesota, St. Paul, MN, USA): International Food Policy Research Institute.
   Google Scholar
• Hodnett MG, Tomasella J. 2002. Marked differences between van Genuchten soil water- retention parameters for temperate and tropical soils: a new water retention pedo- transfer functions developed for tropical soils. Geoderma. 108:155–180.
   Web of Science ®Google Scholar
• Hoogenboom G, Jones JW, Porter CH, Wilkens PW, Boote KJ, Batchelor WD, Hunt LA, Tsuji GY. 2003. Decision support system for agrotechnology transfer. Version 4.0. Vol. 1. Honolulu (HI): University of Hawaii.
   Google Scholar
• Huising J, Zingore S, Kihara J, Nziguheba G. 2010. Diagnostic trials. Practical guide and instruction manual. Africa Soil Information Service (AFSIS).
   Google Scholar
• JAICAF. 2008. The maize of Zambia and Malawi. Japan association for international collaboration of agriculture and forestry report. Tokyo (Japan): Sozasha Ltd
   Google Scholar
• Jaleta M, Kassie M, Shiferaw B. 2013. Trade-off s in crop residue utilization in mixed crop- livestock systems and implications for conservation agriculture. Agric Syst. 121:96−101.
   Web of Science ®Google Scholar
• Jobbagy GE, Jackson RB. 2000. Vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol applic. 10(2):423−436.
   Web of Science ®Google Scholar
• Jones CA, Kiniry JR. 1986. CERES-Maize, a simulation model of maize growth and development. College Station: Texas A&M University Press.
   Google Scholar
• Kaizzi KC, Byalebeka J, Semalulu O, Alou I, Zimwanguyizza W, Nansamba A, Musinguzi P, Ebanyat P, Hyuha T, Wortmann CS. 2012. Maize response to fertilizer and nitrogen use efficiency in Uganda. Agron J. 104:73−82.
   Web of Science ®Google Scholar
• Kanyanjua SM, Keter JK, Okalebo JK, Verchot L. 2006. Identifying potassium deficient soils in Kenya by mapping and analysis of selected sites. Soil Sci. 171(8):610−626.
   Web of Science ®Google Scholar
• Kihara J, Huising J, Nziguheba G, Njoroge S. 2013. Diagnosis of production constraints: highlights of agronomic activities in AfSIS phase 1 (2009−2012). AFSIS project report. Nairobi (Kenya): Africa Information Service
   Google Scholar
• Kihara JNjoroge S. 2013. Phosphorus agronomic efficiency in maize-based cropping systems: a focus on western kenya. Field Crop Res. 150:1-8.
   Web of Science ®Google Scholar
• Landon JR. 1986. Booker tropical soil manual: a handbook for soil survey and agricultural land evaluation in the tropics and subtropics. Longman Sci Technol.
   Google Scholar
• Nambiro E. 2012. Socio economic summary report for western Kenya sentinel site (Sidindi). An AFSIS project report. Nairobi (Kenya): Africa Soil Information Service.
   Google Scholar
• Ngome AF, Becker M, Mtei MK, Mussgnug F. 2013. Maize productivity and nutrient use efficiency in western Kenya as affected by soil type and crop management. Intern J Plant Prod. 7(3):517−536.
   Web of Science ®Google Scholar
• Okalebo JK, Gathua KW, Woomer PL. 2002. Laboratory methods of soil and plant analysis: a working manual. 2nd ed. Nairobi (Kenya): SACRED-Africa.
   Google Scholar
• Okalebo JR, Woomer PL, Othieno CO, Karanja NK, Ikerra S, Esilaba O, Nekesa AO, Ruto EC, Thuita MN, Ndung‘U KW, et al. 2007. The potential of underutilized phosphate rocks for soil fertility replenishment in Africa: case studies in western Kenya. Afr Crop Sci Conf Proc. 8:1589−1598.
   Google Scholar
• Onduru DD, Snijders P, Muchena FN, Wouters B, De Jager A, Gachimbi L, Gachini GN. 2008. Manure and Soil Fertility Management In Sub-Humid And Semi-Arid Farming Systems Of Sub-Saharan Africa: experiences from Kenya. Inter J Agric Res. 3:166−187.
   Google Scholar
• Pachepsky YA, Rawls WJ. 1999. Accuracy and reliability of pedo-transfer functions as affected by grouping soils. Soil Sci Soc Am J. 63:1748−1756.
   Web of Science ®Google Scholar
• Porter CH, Jones JW, Adiku S, Gijsman AJ, Gargiulo O, Naab JB. 2009. Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5. Inter J Oper Res. 10:247−278.
   Google Scholar
• Ritchie JT, Singh U, Godwin DC, Bowen WT. 1998. Cereal growth, development and yield. In: Tsuji GY, Hoogenboom G, Thornton PK, editors. Understanding options for agricultural production. Dordrecht (the Netherlands): Kluwer Academic Publishers; p. 79–98.
   Google Scholar
• Ritchie JT. 1998. Soil water balance and plant water stress. In: Tsuji GY, Hoogenboom G, Thornton PK, editors. Understanding options of agricultural production. Dordrecht (the Netherlands): Kluwer Academic Publishers and International Consortium for Agricultural Systems Applications; p. 41−53.
   Google Scholar
• Saxton KE, Rawls WJ. 2006. Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J. 70:1569−1578.
   Web of Science ®Google Scholar
• Schimel JP, Bennett J. 2004. Nitrogen mineralization: challenges of a changing paradigm. Ecol. 85:591–602.
   Google Scholar
• Sommer R, Bossio D, Desta L, Dimes J, Kihara J, Koala S, Mango N, Rodriguez D, Thierfelder C, Winowiecki L. 2013. Profitable and Sustainable nutrient management systems for East and Southern Africa smallholder farming systems – challenges and opportunities. A synthesis of the Eastern and Southern Africa situation in terms of past experiences, present and future opportunities in promoting nutrient use in Africa. International Centre for Tropical Agriculture (CIAT); the University of Queensland, Australia and International Maize and Wheat Improvement Center (CIMMYT). Nairobi, Kenya.
   Google Scholar
• Stine MA, Weil RR. 2002. The relationship between soil quality and crop productivity across three tillage systems in south central Honduras. Am J Altern Agric. 17(1):2−8.
   Google Scholar
• Tittonell P, Giller KE. 2013. When yield gaps are poverty traps: the paradigm of ecological intensification in African smallholder agriculture. Field Crops Res. 143:76−90.
   Web of Science ®Google Scholar
• Tittonell P, Muriuki A, Klapwijk J, Shepherd KD, Coe R, Vanlauwe B. 2013. Soil heterogeneity and soil fertility gradients in smallholder farms of the East African highlands. Soil Sci Soc Am J. 77(2):525−538.
   Web of Science ®Google Scholar
• Tittonell P, Vanlauwe B, Corbels M, Giller KE. 2008. Yield gaps, nutrient use efficiencies and response to fertilizers by maize across heterogeneous smallholder farms of western Kenya. Plant Soil. 313:19–37.
   Web of Science ®Google Scholar
• Tomasella J, Hodnett M. 2003. Pedo-transfer functions for tropical soils. In: Pachepsky Y, Rawls WJ, editors. Development of pedo-transfer functions in soil hydrology. Netherlands: Elsevier publishers; p. 415−429.
   Google Scholar
• Tomasella J, Pachepsky Y, Crestana S, Rawls WJ. 2003. Comparison of two techniques to develop pedo-transfer functions for water retention. Soil Sci Soc Am J. 67:1085−1092.
   Web of Science ®Google Scholar
• van Ittersum MK, Cassman KG, Grassini P, Wolf J, Tittonell P, Hochman Z. 2013. Yield gap analysis with local to global relevance - A review. Field Crops Res. 143:4−17.
   Web of Science ®Google Scholar
• van Wart J, Kersebaumb KC, Peng S, Milnera M, Cassman KG. 2013a. Estimating crop yield potential at regional to national scales. Field Crops Res. 143:34−43.
   Web of Science ®Google Scholar
• van Wart J, van Bussel LGJ, Wolf J, Licker R, Grassini P, Nelson A, Boogaard H, Gerber J, Mueller ND, Claessens L, et al. 2013b. Use of agro-climatic zones to upscale simulated crop yield potential. Field Crops Res. 143:44−55.
   Web of Science ®Google Scholar
• Versini A, Nouvellon Y, Laclau J, Kinana A, Mareschal L, Zeller B, Ranger J, Epron D. 2013. The manipulation of organic residues affects tree growth and heterotrophic CO2 efflux in a tropical eucalyptus plantation. For Ecol Manage. 301:79−88.
   Web of Science ®Google Scholar
• Wasonga CJ, Sigunga DO, Musandu AO. 2008. Phosphorus requirements by maize varieties in different soil types of western Kenya. Afr Crop Sci J. 16(2):161−173.
   Google Scholar
• Xie HT, Yang XM, Drury CF, Yang JY, Zhang XD. 2011. Predicting soil organic carbon and total nitrogen using mid- and near-infrared spectra for Brookston clay loam soil in Southwestern Ontario, Canada. Can J Soil Sci. 91:53−63.
   Web of Science ®Google Scholar
• Yerima BPK, Van Ranst E 2005. Introduction to soil science: soils of the tropics. Flemish Inter-University Council, Ghent University Laboratory of Soil science and University of Dschang, Department of Soil science. p. 37−41. Victoria (Canada). Trafford publishing.
   Google Scholar
• Zingore S, Murwira HK, Delve RJ, Giller KE. 2007. Soil type, historical management and current resource allocation: three dimensions regulating variability of maize yields and nutrient use efficiencies on African smallholder farms. Field Crops Res. 101:296–305.
   Web of Science ®Google Scholar