Opportunities and constraints to legume diversification for sustainable maize production on smallholder farms in Malawi

2012 ◽  
Vol 28 (3) ◽  
pp. 234-244 ◽  
Author(s):  
Wezi G. Mhango ◽  
Sieglinde S. Snapp ◽  
George Y.K. Phiri
Keyword(s):  
Food Security ◽  
Infant Nutrition ◽  
Smallholder Farmers ◽  
Pigeon Pea ◽  
Sustainable Intensification ◽  
Mucuna Pruriens ◽  
Legume Species ◽  
Smallholder Farms ◽  
Maize Production ◽  
Wide Range

AbstractSustainable intensification of smallholder farms in Africa is highly dependent on enhancing biological nitrogen fixation (BNF). Legume diversification of maize-based systems is a core example of sustainable intensification, with the food security of millions of farm families at stake. This study highlights the constraints and opportunities associated with the adoption of legumes by smallholder farmers in southern Africa. A two-part survey of households and farm fields (n=88) was conducted in the Ekwendeni watershed of northern Malawi. Participatory research and education activities have been underway for over a decade in this region, resulting in expanded uptake of a range of legume species as intercrops and in rotation with the staple maize crop. Farmer adoption has occurred to a varying extent for soybean (Glycine max), pigeon pea (Cajanus cajan), velvet bean (Mucuna pruriens) and fish bean (Tephrosia vogelii). Farmers, working with the project valued pigeon pea and other legumes for soil fertility purposes to a greater extent than farmers not working with the project. Legumes were valued for a wide range of purposes beyond soil cover and fertility enhancement, notably for infant nutrition (at least for soybean), insect control, and vegetable and grain production for both market and home consumption. Literature values for BNF in tropical legumes range up to 170 kg N ha−1for grain and 300 kg N ha−1for green manure species; however, our field interviews illustrated the extent of constraints imposed by soil properties on smallholder fields in Malawi. The key edaphic constraints observed were very deficient to moderate phosphorus levels (range 4–142, average 33 mg kg−1), and moderately acid soils (range pH 5.1–7.9, average 6.2). The per farm hectarage devoted to legume production relative to maize production was also low (0.15 versus 0.35 ha), a surprising find in an area with demonstrated interest in novel legume species. Further, farmers showed a strong preference for legumes that produced edible grain, regardless of the associated nutrient removal in the harvested grain, and did not sow large areas to legume crops. These farm-level decisions act as constraints to BNF inputs in maize-based smallholder cropping systems. Overall, we found that legume productivity could be enhanced. We documented the value of policies and educational efforts that support farmers gaining access to high-quality seeds, amendments for phosphorus-deficient soils, and promotion of multipurpose legumes that build soils through leafy residues and roots, as well as providing grain for food security and sales.

scholarly journals Drought-tolerant Varieties as an Adaptation Strategy in the Context of Climate Change: Insight from Maize Production Systems in Benin

2020 ◽  
pp. 1-7
Author(s):  
Mohamed Nasser Baco
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Crop Production ◽  
Production Systems ◽  
Smallholder Farmers ◽  
Value Chains ◽  
Maize Production ◽  
Ecological Zones ◽  
Drought Tolerant ◽  
Agro Ecological Zones

Previous studies suggested that maize is set to become a cash crop while ensuring food security better than any other crop. However, climate change has become one of the key production constraints that are now hampering and threatening the sustainability of maize production systems. We conducted a study to better understand changes here defined as adaptations made by smallholder farmers to ensure food security and improve income through maize production in a climate change context. Our results show that maize farmers in northern Benin mainly rely on traditional seeds. Drought as abiotic stress is perceived by farmers in many agro-ecological zones as a disruptive factor for crop production, including maize. When drought is associated with pest damages, both the quantity (i.e. yield) and the quality (i.e. attributes) of products/harvests are negatively affected. The adverse effects of drought continue to reduce production in different agro-ecological zones of the country, because of the lack of widespread adoption of tolerant varieties. The study suggests actions towards the production of drought-tolerant maize seeds, a promotion of seed companies, the organization of actors and value chains. Apart from climate change, the promotion of value chains is also emerging as one of the important aspects to take into account to sustain maize production in Benin.

scholarly journals Potentials of hybrid maize varieties for small-holder farmers in Kenya: A review based on swot analysis

2013 ◽  
Vol 13 (57) ◽  
pp. 7562-7586
Author(s):  
C Schroeder ◽  
◽  
T Onyango K’Oloo ◽  
NB Ranabhat ◽  
NA Jick ◽  
...  
Keyword(s):  
Food Security ◽  
Positive Impact ◽  
Smallholder Farmers ◽  
Fertilizer Application ◽  
Small Scale ◽  
Maize Production ◽  
Marginal Areas ◽  
Maize Varieties ◽  
Small Scale Farmers ◽  
Hybrid Maize

Maize is the primary staple crop in Kenya and plays an important role in the livelihood of the people of Kenya. Its availability and abundance determines the level of welfare and food security in the country. In Kenya, future increases in maize production to meet domestic demand will have to rely on improvements in yield per hectare rather than on the expansion of maize production area. Enhanced maize productivity can be achieved by increased use of modern production techniques such as the adoption of hybrid maize varieties, the use of chemicals and fertilizer application. Small-scale maize prodcution plays a major role in Kenya’s maize economy and adoption of hybrid technology by small-scale farmers would have the potential to address sustainability and supply issues. However, such modern technologies are still rarely used by Kenya’s small-scale farmers, particularly by those in marginal areas. This study, therefore, tries to review the reasons for the low rate of adoption of hybrid maize varieties among small-scale farmers with focus on those smallholders in Kenya’s marginal areas. Lack of awareness of existing or newly released hybrid varieties, lack of hybrid varieties adapted to marginal areas, lack of confidence in the quality of some hybrid maize seeds, poor access to stockists, low profitability due to high seed cost, inadequate access to credit, the need for fertilizer application and low literacy level have been found to be important factors explaining the low adoption rates by smallholder maize producers in marginal areas. In addition, these constraints might also explain the widespread practice of recycling hybrid grain among small-scale farmers once they have adopted hybrid maize varieties. Therefore, it is hoped that by overcoming these constraints, the adoption of hybrid maize varieties among smallholder farmers could be greatly enhanced, which in turn could lead to a significant positive impact on the country’s food security situation.

Status of Maize Lethal Necrosis Disease in Zambia

2020 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Doreen Chomba ◽  
◽  
Msiska K. K. ◽  
Abass M. S. ◽  
Mudenda M. ◽  
...  
Keyword(s):  
Food Security ◽  
Mosaic Virus ◽  
Agricultural Research ◽  
Smallholder Farmers ◽  
Maize Dwarf Mosaic Virus ◽  
Maize Production ◽  
Chlorotic Mottle Virus ◽  
Maize Chlorotic Mottle Virus ◽  
Chlorotic Mottle ◽  
The Status

Maize is a staple food in Zambia and contributes immensely to food security for smallholder farmers. Disease outbreaks such as Maize Lethal Necrosis Disease (MLND) can be a key constraint to maize production. This disease is caused by synergistic co-infection with Maize Chlorotic Mottle Virus (MCMV) and any virus from the family Potyviridae, particularly, Sugarcane Mosaic Virus (SCMV), Maize Dwarf Mosaic Virus (MDMV) or Wheat Streak Mosaic Virus (WSMV). In 2011, an outbreak of MLND affecting almost all of the currently grown commercial varieties posed a challenge to maize production in Kenya and it has since been reported in DR Congo, Ethiopia, Kenya, Rwanda, Tanzania, and Uganda causing yield losses of up to 100%. Despite MLND having been reported in some neighboring countries, there is no information on the status of the disease in Zambia. Additionally, there is a lot of grain and seed trade between Zambia and other countries among which MLND has been reported. The aim of this study was to establish: (a) the status of MCMV; (b) agricultural practices used by farmers and (c) insect vectors associated with MLND. A survey was conducted in nine (9) provinces of Zambia during 2014/2015 and 2015/ 2016 cropping seasons. Farmers’ maize fields were sampled at every five to ten-kilometer interval and tested using rapid diagnostic kits capable of detecting MCMV. Four hundred and nineteen samples collected all tested negative for MCMV. Zambian Agricultural Research Institute (ZARI), with all stakeholders in the maize value chain should continue implementing measures aimed at preventing the introduction of MLND in Zambia. Key words: Survey, MLND, Losses, food security

ON-FARM EXPERIMENTS WITH MAIZE-MUCUNA SYSTEMS IN THE LOS TUXTLAS REGION OF VERACRUZ, MEXICO. I. MUCUNA BIOMASS AND MAIZE GRAIN YIELD

2003 ◽  
Vol 39 (1) ◽  
pp. 5-17 ◽  
Author(s):  
M. EILITTÄ ◽  
L. E. SOLLENBERGER ◽  
R. C. LITTELL ◽  
L. W. HARRINGTON
Keyword(s):  
Smallholder Farmers ◽  
Nutrient Status ◽  
Maize Yield ◽  
Mucuna Pruriens ◽  
Los Tuxtlas ◽  
Control Data ◽  
Maize Production ◽  
Labour Costs ◽  
Maize Grain ◽  
On Farm

Maize (Zea mays)-mucuna (Mucuna pruriens) systems have been promoted to the smallholder farmers of the Los Tuxtlas region of southeastern Veracruz, Mexico. To determine on-farm performance, an agronomic assessment was conducted in 1995–97 replicating farmer conditions in four fields. Treatments were first- and second-season maize with first-season mucuna (system Zm-Mp/Zm), first-season maize with first- and second-season mucuna (system Zm-Mp/Mp), second-season maize following first-season mucuna (system Mp/Zm), and first- and second-season maize, no mucuna control. Data on mucuna biomass amount and quality as well as maize yield, yield components, and nutrient status were collected. Highest mucuna biomass was obtained in system Mp/Zm (leaf-stem-mulch biomass in 1996/97, 7.34 t ha−1, 147 kg ha−1 N), followed by systems Zm-Mp/Mp (5.06 t ha−1, 101 kg N ha−1) and Zm-Mp/Zm (2.75 t ha−1, 50 kg N ha−1). Second-season maize yield was increased over that of the control by 45–58% (0.15–0.23 t ha−1) in system Zm-Mp/Zm and by 118% (0.60 t ha−1) in system Mp/Zm. Mucuna did not increase first-season maize yield. Climatic constraints make second-season maize production risky and yield increases due to mucuna are low in absolute terms, perhaps not offsetting labour costs (systems Zm-Mp/Zm and Mp/Zm) or loss of first-season maize (Mp/Zm).

scholarly journals Smallholder farmers’ preferences for sustainable intensification attributes in maize production: Evidence from Ghana

2022 ◽  
Vol 152 ◽  
pp. 105789
Author(s):  
Bekele Hundie Kotu ◽  
Oyakhilomen Oyinbo ◽  
Irmgard Hoeschle-Zeledon ◽  
Abdul Rahman Nurudeen ◽  
Fred Kizito ◽  
...  
Keyword(s):  
Smallholder Farmers ◽  
Sustainable Intensification ◽  
Maize Production

scholarly journals Better Agronomic Management Increases Climate Resilience of Maize to Drought in Tanzania

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 982
Author(s):  
Wei Xiong ◽  
Elena Tarnavsky
Keyword(s):  
Food Security ◽  
Smallholder Farmers ◽  
Management Strategies ◽  
Maize Yield ◽  
Management Options ◽  
Maize Production ◽  
Regional Food ◽  
Climate Resilience ◽  
Agronomic Management ◽  
Yield Responses

Improved access to better seeds and other inputs, as well as to market and financing, provides greater harvest security for smallholder farmers in Africa, boosting their incomes and increasing food security. Since 2015, a variety of agronomic measures have been introduced and adopted by smallholder farmers under a program led by the United Nations’ World Food Program (WFP) called the Patient Procurement Platform (PPP). Here, we integrate a variety of agronomic measures proposed by the PPP to more than 20,000 smallholder farmers in Tanzania into 18 management strategies. We apply these across the country through grid-based crop model (DSSAT) simulations in order to quantify their benefits and risk to regional food security and smallholder farmers’ livelihoods. The simulation demonstrates current maize yields are far below potential yields in the country. Simulated yields across the nation were slightly higher than the mean of reported values from 1984 to 2014. Periodic droughts delayed farmers’ sowing and reduced maize yield, leading to high risk and low sustainability of maize production in most of the maize areas of the country. Better agronomic management strategies, particularly the combination of long-maturity, drought tolerance cultivars, with high fertilizer input, can potentially increase national maize production by up to five times, promoting Tanzania as a regional breadbasket. Our study provides detailed spatial and temporal information of the yield responses and their spatial variations, facilitating the adoption of various management options for stakeholders.

scholarly journals Does Conservation Agriculture Enhance Household Food Security? Evidence from Smallholder Farmers in Nkhotakota in Malawi

2016 ◽  
Vol 5 (1) ◽  
pp. 118 ◽  
Author(s):  
Charles Blessings Laurence Jumbe ◽  
Wanangwa Hawire Nyambose
Keyword(s):  
Food Security ◽  
Formal Education ◽  
Smallholder Farmers ◽  
Household Head ◽  
Conservation Agriculture ◽  
Household Food Security ◽  
Probit Regression ◽  
Maize Production ◽  
Governmental Organization ◽  
Household Food

<p>The paper identified factors that influence the adoption and contribution of conservation agriculture (CA) on household food security using household-level data collected in 2010 from Nkhotakota District, Central Malawi where Total Land Care (TLC) a local Non-governmental Organization (NGO) has been promoting CA. To determine factors that influence adoption of CA, a Probit regression model was used. Then, the paper compared estimated production function between adopters and non- adopters of CA. The Probit results show that age and education level of the household head, number of extension visits, and land holding size are important factors that influence farmers’ adoption of CA in the study area. Further results showed that CA adopters had more than 50% higher maize production than that of non-adopters from the Cobb-Douglas production estimates. From the findings, there should be improvement in the delivery of extension services in the promotion and dissemination of agricultural technology to foster wider adoption and improve food security status in the study areas. This can be achieved through increased number of extension workers, increase number of demonstrations when introducing CA technology and improved access to formal education. Our overall results show consistently that CA adopters are better off than non-adopters in various aspects such as maize production, per capita maize requirements and meal frequency. As such, the promoting and up-scaling of CA technologies to smallholder farmers should be intensified as an effective strategy for addressing household food insecurity than the promotion of chemical fertilizers use through programs such as the Farm Inputs Subsidy Program, which is not only unsustainable, but also inappropriate for poor resource farmers.</p>

scholarly journals Delineating Smallholder Maize Farms from Sentinel-1 Coupled with Sentinel-2 Data Using Machine Learning

2021 ◽  
Vol 13 (9) ◽  
pp. 4728
Author(s):  
Zinhle Mashaba-Munghemezulu ◽  
George Johannes Chirima ◽  
Cilence Munghemezulu
Keyword(s):  
Machine Learning ◽  
Food Security ◽  
Rural Communities ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Subsistence Agriculture ◽  
Smallholder Farms ◽  
Main Driver ◽  
Sentinel 2

Rural communities rely on smallholder maize farms for subsistence agriculture, the main driver of local economic activity and food security. However, their planted area estimates are unknown in most developing countries. This study explores the use of Sentinel-1 and Sentinel-2 data to map smallholder maize farms. The random forest (RF), support vector (SVM) machine learning algorithms and model stacking (ST) were applied. Results show that the classification of combined Sentinel-1 and Sentinel-2 data improved the RF, SVM and ST algorithms by 24.2%, 8.7%, and 9.1%, respectively, compared to the classification of Sentinel-1 data individually. Similarities in the estimated areas (7001.35 ± 1.2 ha for RF, 7926.03 ± 0.7 ha for SVM and 7099.59 ± 0.8 ha for ST) show that machine learning can estimate smallholder maize areas with high accuracies. The study concludes that the single-date Sentinel-1 data were insufficient to map smallholder maize farms. However, single-date Sentinel-1 combined with Sentinel-2 data were sufficient in mapping smallholder farms. These results can be used to support the generation and validation of national crop statistics, thus contributing to food security.

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