Autor: Hugo De Groote

Does access to improved grain storage technology increase farmers' welfare? Experimental evidence from maize farming in Ethiopia

Hugo De Groote Bart Minten (2024)

Seasonal price variability for cereals is two to three times higher in Africa than on the international reference market. Seasonality is even more pronounced when access to appropriate storage and opportunities for price arbitrage are limited. As smallholder farmers typically sell their production after harvest, when prices are low, this leads to lower incomes as well as higher food insecurity during the lean season, when prices are high. One solution to reduce seasonal stress is the use of improved storage technologies. Using data from a randomised controlled trial, in a major maize-growing region of Western Ethiopia, we study the impact of hermetic bags, a technology that protects stored grain against insect pests, so that the grain can be stored longer. Despite considerable price seasonality—maize prices in the lean season are 36% higher than after harvesting—we find no evidence that hermetic bags improve welfare, except that access to these bags allowed for a marginally longer storage period of maize intended for sale by 2 weeks. But this did not translate into measurable welfare gains as we found no changes in any of our welfare outcome indicators. This ‘near-null’ effect is due to the fact that maize storage losses in our study region are relatively lower than previous studies suggested—around 10% of the quantity stored—likely because of the widespread use of an alternative to protect maize during storage, for example a cheap but highly toxic fumigant. These findings are important for policies that seek to promote improved storage technologies in these settings.

Artículo

Hermetic Storage Randomised Controlled Trial CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA STORAGE PILOT FARMS SEASONALITY WELFARE MAIZE

On-farm storage loss estimates of maize in Kenya using community survey methods

Hugo De Groote Anani Bruce (2023)

Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maize-growing zones, to estimate the maize losses to storage pests and analyze farmer practices. As control strategies, half of the farmers used chemical pesticides (49%), while hermetic bags (16%) and botanicals (15%) were also popular. Relative loss from weevils in the long rains was estimated at 23%, in the short rains 18%, and annually 21%. Fewer farmers were affected by the larger grain borer (LGB) than by maize weevils: 42% in the long rainy season and 32% in the short rainy season; losses from LGB were also smaller: 19% in the long season, 17% in the short season, and 18% over the year. Total storage loss, from both species combined, was estimated at 36%, or 671,000 tonnes per year. The greatest losses occur in the humid areas, especially the moist mid-altitudes (56%), and with smaller loss in the drylands (20–23%). Extrapolating the point data and overlaying with the maize production map shows the geographic distribution of the losses, with the most important area found around Lake Victoria. FGDs provide convenient and cheap tools to estimate storage losses in representative communities, but a total loss estimate of 36% is higher than is found in other studies, so its accuracy and framing effects need to be assessed. We conclude that storage pests remain a major problem, especially in western Kenya, and that the use of environmentally friendly technologies such as hermetic storage and botanicals needs more attention, both by the public extension service and private agrodealers.

Artículo

Larger Grain Borer Maize Weevil CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE STORAGE LOSSES PESTS SURVEY METHODS

Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems

Hugo De Groote Jill Cairns Michael Olsen (2021)

In sub-Saharan Africa, maize is a staple crop but yields remain sub-optimal. A novel hybrid seed technology offers the opportunity to reduce seed production costs and increase yields. This dataset contains data from on-farm and on-station trials collected in 2017 to 2019 in South Africa, Kenya and Zimbabwe to assess this hybrid seed production technology. The results of the analysis are presented in the accompanying article.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Kenya Rural Household Panel Survey - Household and maize data 2010 & 2013

Kevin Oluoch Hugo De Groote Zachary Gitonga (2022)

Data from two CIMMYT and KALRO household surveys representative of six maize production areas or agroecological zones in Kenya. The surveys were conducted in 2010 and 2013 collected data on farmer demographics, adoption of improved technologies and practices, marketing, access to agricultural information, and farmer adaptation to climate change.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Striga presence in Africa: Historic data from different sources

Hugo De Groote Jonne Rodenburg Marc Cotter (2022)

Combines presence data of Striga hermonthica and Striga asiatica on different crops from four different sources, obtained from online publications or authors.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Nutritious Maize for Ethiopia (NuME) - baseline survey

Hugo De Groote Moti Jaleta Zachary Gitonga (2015)

Maize is now the major food crop in Ethiopia, but it has poor nutritional quality, in particular inadequate levels of the essential amino acids lysine and tryptophan, which reduces the overall biological value of its protein. In response, quality protein maize (QPM) was developed, combining improved protein quality with storage and agronomic qualities similar to those of conventional maize. Consumption of these varieties leads to greater protein utilization and greater rates of growth among malnourished young children. Adoption of QPM in Ethiopia so far has only been successful in agro-ecological niches where varieties were first released, while farmers expressed a clear demand for later-maturing varieties, similar to the popular BH660 variety. Further breeding at the Ethiopian Institute of Agricultural Research (EIAR) and CIMMYT has resulted in the release of new QPM varieties adapted to all major maize-producing agro-ecologies in Ethiopia. The Nutritional Maize for Ethiopia (NuME) project was therefore developed to bring these QPM varieties to rural households, to increase intake of quality protein and to improve nutritional status and food security. To guide the project’s implementation and monitor its progress, a baseline survey was conducted to measure baseline parameters, including adoption of QPM, awareness of its benefits, food consumption, nutritional status, and food insecurity. To inform the project on its gender strategy, intra-household resource allocation was also studied, and to inform the dissemination and information strategy, the sources of information were also analyzed.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Harvestplus household survey, Zambia 2011, section on storage and climate

Hugo De Groote Zachary Gitonga Kai Sonder (2023)

In this data base, representative georeferenced farmer survey data from Zambia from 2011 are combined with climate data to estimate storage losses, analyze their relationship with climate, and estimate the effect of climate change on storage losses. The storage loss data include importance of different pests (maize weevils and larger grain borer), and farmers’ estimates of storage loss due to both pests, in grain and cobs. The climate data include temperature (from WorldClim) and relative humidity (from CHIRTS) over the storage season in 2011.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA