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Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi

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Abstract

This study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha−1 with a mean value of 4.1 t ha−1. Observed high yields (>8.0 t ha−1) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (β = 21.1, p < 0.01) associated with maize yield increase. From agronomic factors, weeds, seed spacing, plant density and fertilizer application played significant role in maize yield. Weed rating inversely impacted yield (β = −0.5; p < 0.001) where fields with the lowest weed rating had the highest yield (4.6 t ha−1) than those with the highest rating (2.3 t ha−1). Socio-economic factors such as household wealth, household members with off-farm employment, number of years the household head has been involved in farming decision making, access to agricultural advice and group membership also influenced agronomic practices and resulted in yield gap. Household wealth and off-farm employment contributed to increased yield while household head experience in farming had negative impact. Extension service impacted yield negatively which can be attributed to the low extension worker to farmer ratio. The study demonstrated that closing yield gap in maize mixed farming systems requires integrated approach to addressing agronomic, biophysical and socio-economic constraints.

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References

  • Abrol IP, Yadav JSP, Massoud FI (1988) Salt-affected soils and their management. Fao Soils bulletin 39. FAO, Rome

  • Abuzar MR, Sadozai GU, Baloch MS, Baloch AA, Shah IH, Javaid T, Hussain N (2011) Effect of plant population densities on yield of maize. J Anim Plant Sci 21(4):692–695

    Google Scholar 

  • AccuWeather (2014). [Online]. Available at: http://www.accuweather.com/en/mw/linthipe/227491/weather-forecast/227491. 27 Oct 2014

  • Alley MM, Vanlauwe B (2009) The Role of Fertilizer in Integrated Plant Nutrient Management. Tropical Soil Biology and Fertilizer Institute of International Centre for Tropical Agriculture: 61

  • Awiti AO, Walsh MG, Shepherd KD, Jenesio Kinyamario J (2008) Soil condition classification using infrared spectroscopy: a proposition for assessment of soil condition along a tropical forest-cropland chronosequence. Geoderma 143:73–84

    Article  CAS  Google Scholar 

  • Benson T (1999) Area specific fertiliser recommendations for hybrid maize grown by Malawi smallholder. Chitedze Agricultural Research Station, Lilongwe

    Google Scholar 

  • Carswell G (1997). Agriculture intensification and sustainable rural livelihood: a ‘think piece’. IDS Working Paper 64, Presented at a SLP Workshop, 1st May 1997. [Online]. Available at: https://www.ids.ac.uk/files/dmfile/Wp64.pdf. Accessed 25 Oct 2014

  • Chibwana C, Fisher M, Shivery C (2012) Cropland allocation effects of agricultural input subsidies in Malawi. World Dev 40:124–133

    Article  Google Scholar 

  • CSIRO (2013). Precision agriculture: profiting from variation. Waite Road - Gate 4, Glen Osmond SA 5064, Australia

  • Denning G, Kabambe P, Sanchez P, Malik R, Harawa R, Nkhoma P, Zamba C, Keating M, Wangila J, Sacks J (2009) Input subsidies to improve smallholder maize productivity in Malawi: towards an Africa Green Revolution. PLoS Biol 7(1):2

    Article  CAS  Google Scholar 

  • Ekiyar V, Jumbe C, Mangisoni J, Mkwambisi D, Mwase W, Njoloma J, Ekere W (2012) The impacts of climate change and vulnerability on agricultural production. Adaptation strategies in Teso sub-region of eastern Uganda. Third RUFORUM Biennial meeting 24–28 Sept 2012, Entebbe

  • Elias A, Nohmi M, Yasunobu K, Ishida A (2013) Effect of agriculture extension program on smallholder’s farm productivity: evidence from three peasant association in the highlands of Ethiopia. J Agric Sci 5(8):163–181

    Google Scholar 

  • Emerson WW (1991) Structural decline of soil, assessment and prevention. Aust J Soil Res 29:905–922

    Article  Google Scholar 

  • Fairhurst T (ed) (2012) Hand book for integrated soil fertility management. CABI, Nairobi, Kenya

    Google Scholar 

  • FAO (2010) An ecosystem approach to sustainable crop production intensification: a conceptual framework. Available at: www.fao.org/fileadmin/templates/aghome/scpi/SCPI_Compendium/SCPIConceptual_framework.pdf. Accessed 15 Oct 2014

  • Fermont A, Benson T (2011) Estimating yield of food crops grown by smallholder farmers: a review in the Ugandan context. IFPRI Discussion Paper 01097. Available at: http://www.ifpri.org/publication/estimating-yield-food-crops-grown-smallholder-farmers. Accessed 20 Oct 2014

  • Filmer D, Pritchett LH (2001) Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography 38(1):115–132

  • Governemnt of Malawi (2008) 2008 population and housing census. National Statistics Office, Zomba

    Google Scholar 

  • Government of Malawi (1999) Dedza social—economic profile. Blantyre print and Packaging, Blantyre

    Google Scholar 

  • Government of Malawi (2012) Dedza town assemble urban social economic profile. Ministry of Local Government, Capital Hill, Lilongwe 3

    Google Scholar 

  • Grassini P, Thorburn J, Burr C, Cassman KG (2011) High-yield irrigated maize in the western US corn-belt: on-farm yield, yield-potential, and impact of management practices. Field Crops Res 120:142–150

    Article  Google Scholar 

  • Gul B, Marwat KB, Khan MA, Khan H (2014) Impact of tillage, plant population and mulches on phonological characters of maize. Pa J Bot 4(2):549–554

    Google Scholar 

  • Hasah MF, Iman KS, Sato K (2013) Impacts of agriculture extension on crop productivity, poverty and vulnerability: evidence from Uganda. research institute for economics and business administration, Kobe University, Discussion paper DP2012-34

  • Hazelton P, Murphy B (2007) Interpreting soil test results: What do all the numbers mean?. NSW Department of Natural Resources, Australia

    Google Scholar 

  • Holden S, Mangisoni J (2013) input subsidies and improved maize varieties in Malawi: what can we learn from the impacts in a draught year?. Norwegian University of Life Sciences, Arboretveien

    Google Scholar 

  • Ito M, Matsumoto T, Quinones MA (2007) Conservation tillage practice in sub-Saharan Africa: the experience of Sasakawa Global 2000. Crop Protection 26:417–423

    Article  Google Scholar 

  • Kabambe VH, Chilimba ADC, Ngwira A, Mbawe M, Kambauwa G, Mapfumo P (2012) Using innovation platforms to scale out soil acidity-ameliorating technologies in Dedza district in Central Malawi. Afr J Biotechnol 11(3):561–569

    Article  CAS  Google Scholar 

  • Kassie M, Jaleta M, Shiferaw B, Mmbando F, Mekuria M (2012) Interdependence in farmer technology adoption decisions in smallholder systems: joint estimation of investments in sustainable agricultural practices in rural Tanzania. Selected Paper prepared for presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil, 18–24 August

  • Kihara J, Tamene LD, Massawe P, Bekunda M (2014) Agronomic survey to assess crop yield, controlling factors and management implications: a case-study of Babati in northern Tanzania. Nutr Cycl Agroecosyst 100/2

  • Laborte AG, De Bie CAJM, Smaling EMA, Moya PF, Boling AA, Van Ittersum MK (2012) Rice yields and yield gaps in Southeast Asia: past trends and future outlook. Eur J Agron 36:9–20

  • Liniger HP, Mekdaschi Studer R, Hauert C, Gurtner M (2011) Sustainable land management in practice—guidelines and best practices for sub-Saharan Africa. TerrAfrica, World Overview of Conservation Approaches and Technologies (WOCAT) and Food and Agriculture Organization of the United Nations (FAO)

  • Lobell DB, Cassman KG, Field CB (2009) Crop yield gaps: their importance, magnitudes, and causes. Ann Rev Environ Resour 34:179–204

    Article  Google Scholar 

  • Maatman A, Wopreis MCS, Debrah KS, Groot JJR (2007) From thousands to millions: accelerating agricultural intensification and economic growth in sub-Saharan Africa. In: Bationo A, Waswa B, Kihara J, Kimetu J (eds) Advances in integrated soil fertility management in sub-Saharan Africa: challenges and opportunities. Springer, Dordrecht, The Netherlands, pp 75–84

    Chapter  Google Scholar 

  • Machado S, Bynum ED, Archer TL, Lascano RJ, Wilson LT, Bordovsky J, Segarra E, Bronson K, Nesmith DM, Xu W (2000) Spatial and temporal variability of corn grain yield: site-specific relationships of biotic and abiotic factors. Precision Agric 2:343–360

    Article  Google Scholar 

  • Masangano C, Mthinda C. (2012) Pluralistic extension system in Malawi. IFPRI Discussion Paper 01171. Available at: http://www.ifpri.org/sites/default/files/publications/ifpridp01171.pdf. Accessed 31 Oct 2014

  • Mengesha WA (2013) Genetic diversity, stability, and combining ability of maize genotypes for grain yield and resistance to NCLB in the mid-altitude sub-humid agro-ecologies of Ethiopia. University of KwaZulu-Natal, Pietermaritzburg

    Google Scholar 

  • Morris M, Kelly VA, Kopicki RJ, Byerlee D (2007) Fertilizer use in African agriculture: lessons learned and good practice guidelines. World Bank, Washington, DC

    Book  Google Scholar 

  • Mueller ND, Gerber JS, Johnston M, Ray DK, Ramankutty N, Foley JA (2012) Closing yield gap through nutrient and water management. Nature 000

  • Mviha PJZ, Mtukuso AP, Banda MHP, Chisama BF (2011) A catalogue of agricultural technologies on crop varieties, crop and livestock production technologies, agricultural processing and utilisation technologies 2004-2011. Department of Agricultural Research Services, Lilongwe

    Google Scholar 

  • Ngwira, AR, Thierfelder, Eash, N, and Lambert, DM (2013). Risk and maize-based cropping systems for smallholder Malawi farmers using conservation agriculture technologies. Exp Agric: 1–21

  • Owens T, Hoddinoth J, Kinsey B (2003) The impacts of agricultural extension on farm production in resettlement area of Zimbabwe. Econ Dev Cultural Change 51(2):337–357

    Article  Google Scholar 

  • Pattanayak SK, Mercer DE, Sills EO, Yang J-C (2003) Taking stock of agroforestry adoption studies. Agrofor Syst 57(3):173–186

    Article  Google Scholar 

  • Piper DP (1982) The kaolinitic clay resources of Lithipe, Dedza District: geology, mineralogy and ceramic properties. Report No. DPP/2 (T812), Geological Survey Department, Zomba Malawi

  • Pretty J (2008) Agricultural sustainability: concepts, principles and evidence. Phil Trans R Soc B 363:447–465l

  • Pretty J, Toulmin C, Williams S (2011) Sustainable intensification in African agriculture. Int J Agric Sustain 9(1):5–24

    Article  Google Scholar 

  • Ritchie JT (1983) Efficient water use in crop production: discussion on the generality of relations between biomass production and evapotranspiration. In: Taylor HM et al (eds) Limitations to efficient water use in crop production. ASA–CSSA–SSSA, Madison, WI, pp 29–44

  • Sadler EJ, Bauer PJ, Busscher WJ (2000) Site-specific analysis of a droughted corn crop: growth and grain yield. Agron J 92:395–402

    Article  Google Scholar 

  • Saka AR, Mtukuso AP, Daudi AT, Banda MHP, Phiri IMG (2006) Agriculture technologies RELEASED by the Ministry of Agriculture and Food Security 2000–2005: crop varieties, crop and livestock production technologies, and agricultural processing and utilization technologies. Department of Agriculture Research Services, Lilongwe

    Google Scholar 

  • Sanchez PA, Ahmed S, Carre F et al (2009) Digital soil map of the world. Sci 325:680–681

  • Shepherd KD, Walsh MG (2002) Development of reflectance spectral libraries for characterization of soil properties. Soil Sci Soc Am J 66:988–998

    Article  CAS  Google Scholar 

  • Shepherd KD, Walsh MG (2007) Infrared spectroscopy—enabling an evidence-based diagnostic surveillance approach to agricultural and environmental management in developing countries. J Near Infr Spectrosc. 15:1–19

    Article  CAS  Google Scholar 

  • Shepherd KD, Vanlauwe B, Gachengo CN, Palm CA (2005) Decomposition and mineralization of organic residues predicted using near infrared spectroscopy. Plant Soil 277:315–333

    Article  CAS  Google Scholar 

  • The Montpellier Panel (2013) Sustainable intensification: a new. Paradigm for African Agriculture, London

    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

    Article  Google Scholar 

  • Tittonell P, Shepherd KD, Vanlauwe B, Giller KE (2008a) Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya-An application of classification and regression tree analysis. Agr Ecosys Env 123:137–150

  • Tittonell P, Vanlauwe B, Corbeels M, Giller KE (2008b) Yield gaps, nutrient use efficiencies and responses to fertilisers by maize across heterogeneous small-holder farms in Western Kenya. Plant Soil 313:19–37

    Article  CAS  Google Scholar 

  • Vagen T, Shepherd K, Walsh M, Winowiecki L, Desta LT, Tondo JE (2010) AfSIS technical specifications: soil health surveillance. Africa Soil Information Service (AfSIS), Nairobi

    Google Scholar 

  • Vagen T, Winowiecki L, Desta LT, Tondo JE (2013) The land degradation surveillance framework: field guide. ICRAF/CIAT, Nairobi

    Google Scholar 

  • Van Cauwenbergh N, Biala K, Bielders C (2007) SAFE—a hierarchical framework for assessing the sustainability of agricultural systems. Agr Ecosys Env 120:229–242

    Article  Google Scholar 

  • Van Ittersum MK, Donatelli M (2003) Cropping system models: science, software and applications. Eur J Agron 18:187–393

    Article  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

    Article  Google Scholar 

  • Vyas S, Kamaranayake L (2006) Constructing socio-economic status indices: how to use principal compomnent analysis. Health Policy plan 21(6):459–468

    Article  PubMed  Google Scholar 

  • Wagar A, Mumir HZ, Sukhdev SM, Abid N, Saifullah (2012) Boron deficiency in soils and crops: a review. In: Goyal A (Ed) Crop Plant. InTech. doi:10.5772/36702

  • Weil RR (1982) Maize-weed competition and soil erosion in unwedded maize. Trop Agric (Tridad), 59(3):207–213

  • Yengoh G (2012) Determination of yield differences in small scale food crop farming systems in Cameroon. Agric Food Security 1(19):1–17

    Article  Google Scholar 

  • Yengoh G, Ardo J (2013) Crop yield gaps in Cameroon. Ambio 43:175–190

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

The Michigan State University through the USAID Feed the Future’s Africa RISING program funded the soils and agronomic data collection. We also acknowledge the Drylands CGIAR program whose fund helped collect socio-economic data used in the study. We also sincerely acknowledge the various partners, institutions and individuals who were instrumental in data collection. Last but not least, we wish to thank the two anonymous reviewers who helped re-shape the structure of the manuscript and most importantly their suggestions and advices contributed to add key analysis results.

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Authors and Affiliations

  1. International Center for Tropical Agriculture (CIAT), Chitedze Agricultural Research Station, P.O. Box 158, Lilongwe, Malawi

    Lulseged Tamene, Powell Mponela & Gift Ndengu

  2. International Center for Tropical Agriculture (CIAT), ICIPE Duduville Campus, Kasarani, P.B. Box 30677-00100, Nairobi, Kenya

    Job Kihara

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  1. Lulseged Tamene
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Tamene, L., Mponela, P., Ndengu, G. et al. Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi. Nutr Cycl Agroecosyst 105, 291–308 (2016). https://doi.org/10.1007/s10705-015-9692-7

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