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Conservation agriculture in Southern Africa: Advances in knowledge

Published online by Cambridge University Press:  19 February 2014

Christian Thierfelder*
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe.
Leonard Rusinamhodzi
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe.
Amos R. Ngwira
Affiliation:
Department of International Environment and Development Studies, Noragric, University of Life Sciences, Aas, Norway.
Walter Mupangwa
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe.
Isaiah Nyagumbo
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe.
Girma T. Kassie
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe. International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.
Jill E. Cairns
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box MP163, Mount Pleasant, Harare, Zimbabwe.
*
* Corresponding author: c.thierfelder@cgiar.org
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Abstract

The increasing demand for food from limited available land, in light of declining soil fertility and future threats of climate variability and change have increased the need for more sustainable crop management systems. Conservation agriculture (CA) is based on the three principles of minimum soil disturbance, surface crop residue retention and crop rotations, and is one of the available options. In Southern Africa, CA has been intensively promoted for more than a decade to combat declining soil fertility and to stabilize crop yields. The objective of this review is to summarize recent advances in knowledge about the benefits of CA and highlight constraints to its widespread adoption within Southern Africa. Research results from Southern Africa showed that CA generally increased water infiltration, reduced soil erosion and run-off, thereby increasing available soil moisture and deeper drainage. Physical, chemical and biological soil parameters were also improved under CA in the medium to long term. CA increased crop productivity and also reduced on-farm labor, especially when direct seeding techniques and herbicides were used. As with other cropping systems, CA has constraints at both the field and farm level. Challenges to adoption in Southern Africa include the retention of sufficient crop residues, crop rotations, weed control, pest and diseases, farmer perception and economic limitations, including poorly developed markets. It was concluded that CA is not a ‘one-size-fits-all’ solution and often needs significant adaptation and flexibility when implementing it across farming systems. However, CA may potentially reduce future soil fertility decline, the effects of seasonal dry-spells and may have a large impact on food security and farmers’ livelihoods if the challenges can be overcome.

Information

Type
Review Article
Copyright
Copyright © Cambridge University Press 2014 
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Table 1. Commonly used terms in conservation agriculture and conventional crop management systems of Southern Africa.

Figure 1

Figure 1. Infiltration rates measured with a mini-rainfall simulator at Henderson Research Station (a) and the Monze Farmer Training Centre (b) after 8 and 7 years of treatment, January 2012 (Thierfelder, 2012, unpublished data).

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Figure 2. Effects of conventional moldboard plowing and mulch ripping on different water balance components over five seasons on a red fersiallitic clay soil at Hatcliffe, Zimbabwe. Note: delta-S, change in profile water storage down to 140 cm depth; ET, actual evapotranspiration (adapted from59).

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Figure 3. Effects of conservation agriculture and rotation on aggregate stability, Monze Farmer Training Centre, Zambia, April 200913.

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Figure 4. Effects of two conservation agriculture and one conventionally plowed cropping system on cumulative erosion, Henderson Research Station, Zimbabwe, 2006–201273.

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Figure 5. Impact of conventional and conservation agriculture on earthworm counts (per m2) in the first 30 cm in three consecutive years. Monze, Farmer Training Centre, Zambia, 2007–200913.

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Table 2. Selected top-soil (0–20 cm) properties of fields under different durations of maize–pigeonpea intercropping in Ruaca, central Mozambique (source: 81).

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Figure 6. Incidence of striga (S. asiatica L.) on CA plots (with and without legume intercropping) and conventionally plowed field after 5–8 years of treatment, central and southern Malawi (Thierfelder, 2012, unpublished data).

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Figure 7. Effects of rip-line and direct seeding CA treatments as compared to conventionally plowed control treatments at Malende Agriculture Camp, Monze, Zambia, 2006–2012 (adapted from97).

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Figure 8. Effect of two CA treatments and a conventional plowed control treatment on maize grain yield at Malende Agriculture Camp, Monze, Zambia, 2006–2012 (adapted from97).

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Figure 9. Effect of two CA treatments and a conventional plowed control treatment on cowpea grain yield at Malende Agriculture Camp, Monze, Zambia, 2006–2012 (adapted from97).

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Figure 10. Effects of conservation agriculture on maize grain yield: (a) yield advantage of no-till plus mulch over conventional tillage, (b) yield advantage of no-till and residue retention with non-legume rotation over no-till and residue retention without rotation, (c) yield advantage of no-till and residue retention with legume rotation over no-till and residue retention without rotation and (d) yield advantage of no-till and residue retention with 3-year rotation over no-till and residue retention without rotation (source:94).

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Table 3. Farm enterprise budget analysis for conservation agriculture and conventional tillage practices, Malawi, 2005–2011. (source: 28).

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Figure 11. The proportion of farmers practicing maize–legume intercropping between 2007 and 2011 in Ruaca and Vunduzi communities in central Mozambique. Proportions are based on a total of 52 households in Ruaca and 43 households in Vunduzi (adapted from:81).

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Figure 12. An evaluation of the likelihood of CA adoption using the QAtoCA in (a) Nkotakota District, Malawi and (b) Goromonzi District, Zimbabwe in 2011 (adapted from146).