Does the combined application of organic and mineral nutrient sources influence maize productivity? A meta-analysis

Chivenge, Pauline; Vanlauwe, Bernard; Six, Johan

doi:10.1007/s11104-010-0626-5

Cited by 250 publications

(174 citation statements)

References 117 publications

(113 reference statements)

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“…Nutrients, livestock manure, soils and poverty Poverty has often been associated with poor soil fertility (Sanchez, 2002), and problems of fertility are often not solved by just adding fertilisers, requiring sensible use of organic resources (Chivenge et al, 2011). In many farming systems, the production of food crops is directly or indirectly related to livestock production.…”

Section: Estimatedmentioning

confidence: 99%

The roles of livestock in developing countries

Herrero

Grace

Njuki

et al. 2013

Animal

433

255

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Livestock play a significant role in rural livelihoods and the economies of developing countries. They are providers of income and employment for producers and others working in, sometimes complex, value chains. They are a crucial asset and safety net for the poor, especially for women and pastoralist groups, and they provide an important source of nourishment for billions of rural and urban households. These socio-economic roles and others are increasing in importance as the sector grows because of increasing human populations, incomes and urbanisation rates. To provide these benefits, the sector uses a significant amount of land, water, biomass and other resources and emits a considerable quantity of greenhouse gases. There is concern on how to manage the sector's growth, so that these benefits can be attained at a lower environmental cost. Livestock and environment interactions in developing countries can be both positive and negative. On the one hand, manures from ruminant systems can be a valuable source of nutrients for smallholder crops, whereas in more industrial systems, or where there are large concentrations of animals, they can pollute water sources. On the other hand, ruminant systems in developing countries can be considered relatively resource-use inefficient. Because of the high yield gaps in most of these production systems, increasing the efficiency of the livestock sector through sustainable intensification practices presents a real opportunity where research and development can contribute to provide more sustainable solutions. In order to achieve this, it is necessary that production systems become market-orientated, better regulated in cases, and socially acceptable so that the right mix of incentives exists for the systems to intensify. Managing the required intensification and the shifts to new value chains is also essential to avoid a potential increase in zoonotic, food-borne and other diseases. New diversification options and improved safety nets will also be essential when intensification is not the primary avenue for developing the livestock sector. These processes will need to be supported by agile and effective public and private institutions.

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Section: Estimatedmentioning

confidence: 99%

The roles of livestock in developing countries

Herrero

Grace

Njuki

et al. 2013

Animal

433

255

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“…Extensive research has been conducted into the broader frameworks of integrated soil fertility management [130][131][132][133][134][135][136][137], conservation agriculture [138][139][140][141][142][143], erosion control [144][145][146][147][148], and improved grazing management [149][150][151]. There is also a wealth of information on the benefits of specific practices such as short legume rotations (improved fallows) [152][153][154][155][156][157][158], agroforestry systems [159][160][161][162][163][164][165], and no-till systems [166][167][168][169][170].…”

Section: Positive Trajectories and Conclusionmentioning

confidence: 99%

The State of Soil Degradation in Sub-Saharan Africa: Baselines, Trajectories, and Solutions

et al. 2015

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Abstract:The primary cause of soil degradation in sub-Saharan Africa (SSA) is expansion and intensification of agriculture in efforts to feed its growing population. Effective solutions will support resilient systems, and must cut across agricultural, environmental, and socioeconomic objectives. While many studies compare and contrast the effects of different management practices on soil properties, soil degradation can only be evaluated within a specific temporal and spatial context using multiple indicators. The extent and rate of soil degradation in SSA is still under debate as there are no reliable data, just gross estimates. Nevertheless, certain soils are losing their ability to provide food and essential ecosystem services, and we know that soil fertility depletion is the primary cause. We synthesize data from studies that examined degradation in SSA at broad spatial and temporal scales and quantified multiple soil degradation indicators, and we found clear indications of degradation across multiple indicators. However, different indicators have different trajectories-pH and cation exchange capacity tend to decline linearly, and soil organic carbon and yields non-linearly. Future research should focus on how soil degradation in SSA leads to changes in ecosystem services, and how to manage these soils now and in the future. OPEN ACCESS

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“…The relative change in crop yields following straw incorporation was also calculated as (R-1) × 100% (Chivenge et al, 2011). Positive values of relative change indicated a promotion effect of straw incorporation on crop production and vice versa.…”

Section: Responses Of Crop Yield To Straw Incorporationmentioning

confidence: 99%

“…2001; Chivenge et al, 2011). To date, several meta-analyses have reported on the effects of straw incorporation on SOC/crop yield in China's arable soils (e.g.…”

mentioning

confidence: 99%

“…We used bootstrapping (4999 iterations) to generate the mean effect size and bias-corrected 95% confidence intervals (95% CIs) for each categorical variable. Mean effect sizes were 15 considered to be significantly different if the 95% CIs did not overlap with each other, and were considered to be significantly different from control if their 95% CIs did not overlap with zero (Chivenge et al, 2011). We accepted that the mean effect sizes of the categories to be significantly different between the levels of the factors if the P values of the between-group heterogeneity (Qb) were less than the 0.05 level (P < 0.05).…”

mentioning

confidence: 99%

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