Datasets

CIMMYT Ethiopia

Focus Group Discussion (FGD) on Sustainable Intensification with Vegetable Crops

This dataset captures detailed information on vegetable production, consumption preferences, and related constraints across Benin, Tanzania, Sri Lanka, and the Philippines. It provides a gender-disaggregated perspective based on data collected through 144 Focus Group Discussions (FGDs) conducted in diverse socio-economic and agro-ecological contexts. The dataset emphasizes challenges in vegetable cultivation, including issues with production inputs, labor, mechanization, pest and disease management, marketing, and social and gender norms affecting women’s participation.

• agricultural-sciences
• dataset
• diversification
• social-sciences
• +2 more

CIMMYT Ethiopia

Evaluation of chickpea varieties for highlands in El Batán, México

Nine varieties of chickpeas were evaluated. Some of the variables measured were Total biomass weight (g), Fresh weigth of the subsample (g), Dry weight of the subsample (g), Dry biomass yield (kg/ha) and Harvest area (m²). The experiment was conducted in El Batán, México and the results will be used to make recommendations to farmers about sustainable diversification.

• agricultural-sciences
• chickpeas
• dataset

CIMMYT Ethiopia

Weed diversity, richness, evenness, and their relationship to various cropping systems' biomass, tested on-station with/without fertilizer application on two soils in Zimbabwe between 2022 and 2023

This database contains weed density, weed biomass, crop biomass, richness, evenness, and diversity data from on-station trials in Zimbabwe conducted at Domboshava Training Centre (DTC; 17.62°S,31.17° E) and the University of Zimbabwe farm (UZ: 17.73°S, 31.020 E), characterised by different soil types. It tested maize monocropping, maize-legume rotations, and intercropping with various layouts (traditional intercropping and double row strip cropping), with and without fertilizer application. Two contrasting legumes, cowpea and pigeon pea, were tested in the cropping systems. The experiment was established during the 2019/2020 growing season, but data was collected from the 2021/22 to 2022/23 season to allow the rotations to develop. The experiment was carried out under Conservation Agriculture and rainfed conditions. The dataset is divided into three parts: (1) field measurement data, including treatments, weed biomass, and crop biomass; (2) calculations at the cropping system level (density, richness, Pielou, and Shannon diversity), and (3) weed species abundance (all the weeds identified and collected including those that were difficult to identify and termed "Other".)

CIMMYT Ethiopia

Replication Data for: Food and nutrition security merits of intercropping maize, sorghum and millet with legumes on small farms in Southern Africa

This database comprises grain and nutritional yield data from on-farm trials implemented in the Dedza and Mzimba districts of Malawi over three growing seasons (2017/18 to 2019/20). The study was designed to evaluate yields resulting from treatments involving different cereals and legumes within intercropping systems. The complete dataset supported the findings published in: 'Small grains for small farms? Food and nutrition security from maize, sorghum, and millet cropping systems in Southern Africa.

• agricultural-development
• agricultural-sciences

CIMMYT Ethiopia

Replication Data for: Farm production, marketing, and children's nutritional outcomes in rural Zambia

The collected data originate from a study conducted in the Eastern and Northern provinces of Zambia during the low season (December 2019 to February 2020). The sample includes 528 households selected through random sampling in various agricultural camps, with information on agricultural production, marketing decisions, seasonal food prices, food consumption, nutritional content of crops, and anthropometric measures of children under five years old. The households are located in the districts of Katete in the Eastern Province and Mbala in the Northern Province. Additionally, sociodemographic data and information on access to services were collected, along with variables related to crop diversification and household resources. The data were used to analyze the relationship between nutrient deficiencies from own production (NDOP), food sale and consumption decisions, and child growth outcomes, employing econometric methods to address potential endogeneity biases.

CIMMYT Ethiopia

Grain yield, biomass, and nutritional values of various cropping systems tested on-station with/without fertilizer application on two soils in Zimbabwe between 2020 and 2023

This database contains data on grain, biomass, protein, and calorie yields from on-station trials in Zimbabwe, conducted at the Domboshava Training Centre (DTC) (17.62°S, 31.17°E) and the University of Zimbabwe farm (UZ) (17.73°S, 31.020°E), characterized by different soil types. The trials tested maize monocropping, maize-legume rotations, and intercropping with various layouts (traditional intercropping and double-row strip cropping), with and without fertilizer application. Two contrasting legumes, cowpea and pigeon pea, were included in the cropping systems. The experiment was established during the 2019/2020 growing season, but data were collected from the 2020/21 to 2022/23 seasons to allow the rotations to develop. It was carried out under Conservation Agriculture and rainfed conditions. The dataset is divided into three parts: 1) Field measurement, including treatments, grain yields, and crop biomass; 2) Calculations at the cropping system level (total biomass, calories, and proteins); 3) Processed data used to evaluate the stability of each cropping system, as shown in a radar plot presented in the related paper.