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Ghana planning and implementation progress report for the CGIAR Initiative on Sustainable Intensification of Mixed Farming Systems

december, 2021
Ghana

This report captures key outputs, and follow-up actions since the Ghana Country Planning and Inception Meeting for the Sustainable Intensification of Mixed farming Systems Initiative was held in Accra, Ghana, on 12 July 2022. Various partners have been engaged in the Initiative in Ghana so far, including the National Agricultural Research and Extension Systems (NARES), Universities, and National governments/ agricultural administrations (See participants list in Annex).

Gender differences in smallholders' socioeconomic networks and acquisition of seed of improved wheat varieties in Ethiopia

december, 2021
Ethiopia

Enhancing farmers' access to improved seeds is essential to increase productivity and ensure food security in the Global South. However, for many socially marginalized groups, seed access is constrained by the weak institutions governing the input supply chains and the dissemination of information.

Building resilient crop-livestock farming systems in Senegal

december, 2021
Senegal

The Senegalese agricultural and livestock sector is the main economic activity representing approximately 17% of the
gross domestic product (GDP) and employing 70% of the population. Around 350,000 families nationwide carry out livestock breeding activities, representing nearly 30% of Senegalese farmers.
Limited agricultural production conditions, characterized by poor soils and weather conditions, limited access to
advisory services, and poor-quality agricultural inputs and insufficient infrastructure contribute to Senegal’s inability to

Analysis of technical efficiency among youth involved in crop production in Njombe Region, Tanzania

december, 2021
Global

This study aimed to estimate the Technical Efficiency (TE) of youth crop farmers in Njombe Region of Tanzania, and analyze the determinants of technical inefficiency for crops produced. Data were collected from 572 youths in 16 villages of Njombe Region by using a random sampling technique. The Stochastic Production Function (SPF) model analysed technical efficiency among the youth crop farmers. Results show that youth crop farmers in the study region exhibited decreasing returns to scale, as confirmed by the Returns to Scale of 0.275.

Accountability and Transparency through Water-Energy-Food Nexus Accounting in Central Asia

december, 2021
Switzerland

In Central Asia, more than 90 % of annually renewable water resources are consumptively utilized in irrigation, and allocation conflicts between large-scale hydropower in the upstream and irrigation in the downstream occur regularly and mostly across complex international borders, especially during water scarce years and low storage conditions. With increasing attention on climate-neutral hydropower solutions, including on small-scale hydropower.
An abstract submitted to the EGU General Assembly 2022.

Investigating process skills and competency gaps in undergraduate agricultural extension curriculum in selected South African universities

december, 2021
Iceland

The Michigan State University Alliance for African Partnership (AAP) launched a multi-country study to contribute to upgrading and tailoring the agricultural extension curricula at participating institutions. The first phase of primary data collection consisted of focus group discussions. The focus groups were structured around a specific objective: gathering information around specific questions. Focus group discussions were followed by an online survey of Agricultural Extension and Advisory Services (AEAS) role players, of which the results will be discussed separately.

Participatory diagnostic toolkits and crop improvement approaches: participatory methods to assess and use plant genetic diversity in the field.

december, 2021
Global

In both developing and developed countries, there is increasing in terest in adopting more inclusive and problem-solving participatory re search methods. While there is a wealth of methods and toolkits for con ducting participatory research in the form of scientific articles, books, and manuals, this manual aims to provide a source of information on available toolkits used in conducting participatory research around plant genetic resources (PGR). The manual aims at all those involved in the characterization and utilization of PGR, information collection

Innovative finance mechanisms to protect water resources in the Xin’an River Basin

december, 2021
Global

This brief shows how innovative financing can help cut agricultural pollution in the People's Republic of China’s Xin'an River Basin by plugging funding gaps for nature-based solutions that also mitigate against climate change. It highlights the importance of the basin that supplies drinking water to 10 million people and explains how insufficient financing is limiting the effectiveness of existing ecological compensation schemes.

Innovation for agricultural climate risk insurance: household survey preliminary report

december, 2021
Global

This document reports on preliminary findings from a household survey conducted in Meru County under the auspices of the Innovation for African Climate Risk Insurance (INACRI). The project aims to develop an improved crop insurance index that addresses basis risk inter alia for small scale maize farmers. The goal of the household survey was to assess farmer’s production risks, crop insurance needs and willingness to adopt crop insurance. We also assess farmer’s financial and insurance literacy as a robustness check for their preferences for insurance.

Mapping spatial distribution and geographic shifts of east African highland banana (Musa spp.) in Uganda

december, 2021
Uganda

East African highland banana (Musa acuminata genome group AAA-EA; hereafter referred to as banana) is critical for Uganda’s food supply, hence our aim to map current distribution and to understand changes in banana production areas over the past five decades. We collected banana presence/absence data through an online survey based on high-resolution satellite images and coupled this data with independent covariates as inputs for ensemble machine learning prediction of current banana distribution.