Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
91–100 of 417 datasets
CIMMYT Ethiopia
Wheat head blast index (%) data for seven CIMMYT nurseries (12HPAN, 13HLBSN, 13HZAN, 38SAWSN, 52IDSN, 53IBWSN, 54IBWSN) is presented. Field trials took place in Quirusillas and Okinawa (Bolivia) and Jashore (Bangladesh) during the 2022 cycles. Two sowings were made in each location/cycle.
CIMMYT Ethiopia
Plant breediers must respond to the threats posed by climate change in order to help ensure global food security in the short and long term. A better understanding of the genetic underpinnings of heat tolerance can contribute to efforts to develop more resilient crops. The exome capture data from 149 spring wheat lines provided in this dataset were used to search for loci, including loci from an exotic wheat relative, that could contribute to enhanced heat tolerance. The HIBAP_Germplasm file provides a HIBAP_NUMBER that appears in name of the exome capture files to link them to specific germplasm.The methods and results of the study are described in the accompanying article.
CIMMYT Ethiopia
The data comes from a survey designed to understand the scope of LLL services in four districts of Mid- and Far-western developmental regions of Nepal Terai that are part of the IGB and have the potential to scale-up LLL. Samples were collected from the districts Banke, Bardiya, Kailali and Kanchanpur. The International Maize and Wheat Improvement Center, Nepal, led the data collection in 2015. From each district, sub-districts (Village Developmental Committees, or VDCs) were purposively selected from Cereal Systems Initiatives for South Asia (CSISA) project (https://csisa.org/) working areas. The project was operational in 10 VDCs. The sampling strategy consisted of 50 percent of samples randomly selected from the list within CSISA project area and 50 percent of samples randomly selected beyond the CSISA project areas from the same VDCs. From each VDC, 40 sample households were selected randomly, resulting in an overall sample of 400 households (40 households from 10 sub-districts of four districts). An additional six samples were collected from one of the districts due to a higher proportion of rice-wheat systems in that district, bringing the overall sample size to 406.
CIMMYT Ethiopia
Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data related to 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in germplasm banks. The Mexican and Iranian collections were evaluated under optimal, drought, and heat conditions for several traits including the highly heritable traits, days to heading (DTH), and days to maturity (DTM). The results of the different analyses are reported in the accompanying journal article.
CIMMYT Ethiopia
This study provides supplemental data to support the study on Genomic Prediction of Resistance to Tan Spot, Spot Blotch and Septoria Nodorum Blotch on Synthetics Hexaploid Wheat.
CIMMYT Ethiopia
The Green Revolution has led to intensive, irrigated rice-wheat systems across the Indo-Gangetic Plains (IGP). The limited turn-around time between rice harvest and sowing of the next crop (wheat) and mechanized harvesting of rice pose a critical challenge for farmers to sustainably handle the surplus rice residues. Because only a few economically viable residue-management alternatives are readily available, a majority of the 2.5 million farmers burn an estimated 23 million metric tons of rice stubble in October and November. The rice residue burning and the resultant increase in air pollution have received significant media attention in the recent past. Residue burning causes emission of short-lived climate pollutants, such as methane and black carbon. More importantly, the decrease in air quality due to rice stubble burning has a significant adverse effect on human pulmonary functions. A solution for residue burning is offered by the application of two fundamental principles of Conservation Agriculture (CA) in wheat – minimal soil disturbance and crop residue retention for mulching. CA is heralded as more sustainable than the traditional tillage alternatives. The first-generation CA technology using conventional zero tillage seeder, although reduced the turn-around time for wheat, was not efficient in handling the surplus loose rice residues present on the soil surface. The second-generation direct-seeders (SGDS), such as Happy Seeder, alongside a superior straw management system (e.g., spreaders attached to the combined harvesters), were subsequently developed to facilitate wheat sowing even under heavy stubble and avoid the need for residue burning, making the farming system more sustainable through curtailing the negative environmental externalities. To map the diffusion process of CA (particularly SGDS) and to identify the constraints faced in disseminating the technology among farmers, we conducted a face-to-face survey among the service providers of Happy Seeders in 2022. The survey was conducted in randomly selected villages (where village surveys were conducted) from 8 districts of Punjab.A total of 385 service providers were included (Barnala 12; Fatehgarh_Sahib 49; Jalandhar 37; Ludhiana 86; Moga 18; Nawanshar 20; Patiala 90; Sangrur 73).
CIMMYT Ethiopia
The intensive, irrigated rice-wheat systems of the northwestern Indo-Gangetic Plains (NW IGP) are associated with the widespread burning of excess rice residue that cannot be otherwise disposed-off within the limited turn-around time. The second-generation direct seeders (SGDS) for wheat sowing, such as Happy Seeder, facilitate sowing under heavy stubble conditions, and thereby avoid the need for residue burning. The objective of the study is to test the causal relationship between Happy Seeder diffusion and reduction in residue burning and, ultimately, reduction in air pollution in the NW IGP. We draw on data from remote sensing, a systematic review of literature, existing primary datasets, and new surveys among farm-households, service providers, and village elders. The estimated reduction in air pollution due to the technology diffusion will then be converted to savings in human health costs. As part of this study, we aim to study the village characteristics and do groundtruthing for remote sensing of plots where SGDS has adopted. The plot level datasets were constructed twice (for 2021 and 2022 Rabi seasons) for identifying tillage types and residue burning through remote sensing. These datasets were not from the same set of farmers, and the plot selection was not random.
CIMMYT Ethiopia
This survey was done in 122 villages of Punjab, as part of the SPIA-funded project on the impact of Conservation Agriculture (CA), particularly the impact of Happy Seeder technology, on yield and residue burning. During the exploratory surveys, we found that the adoption of CA depends on the soil structure. To identify the soil characteristics, our team of enumerators interviewed 2-3 knowledgeable people per sample village. The participants were asked to draw the map of village and mark the regions with clayey / loamy / sandy soils and with saline / sodic soils within the village boundaries using an A3-size graph sheet. From this graph sheet the percentage of cultivated area under different soil types and salinity / sodicity were calculated.
CIMMYT Ethiopia
This dataset was generated as part of a research project that aimed to identify relevant gender considerations associated with wheat varietal development and the modifications required in wheat seed value chains in order to ensure inclusive diffusion of varieties and faster varietal turnover. Understanding the role that women play in agricultural production decisions is now widely considered as a pre-requisite to attain food security and alleviate poverty. There have been studies conducted on gender-sensitive breeding on a number of crops, however there are no evidence with respect to wheat in India. The role of gender-sensitive seed and information networks, which could facilitate the spread of varietal technologies ensuring social inclusiveness, is also rarely examined. The lack of control of women over the benefits from participation in value chains and gender discrimination in access to complementary inputs such as credit could be the reasons for not carrying out such analysis. However, when technology interventions do not capture gender-specific preferences for traits of varieties and dissemination networks, intra-household disparities in workloads and incomes persist or even worsen over time. This could also result in a lower rate of adoption by farm households. The study was conducted in the wheat growing tracts of Madhya Pradesh, with the the following research outputs expected. 1. Gender-specific farmer preferences for (a) wheat varietal traits and (b) attributes of seed and information networks are elicited. 2. Solutions to meet heterogeneous demand through inclusive delivery of improved wheat varieties among men and women farmers are identified and the associated transaction costs are estimated. The empirical part of this study was conducted in three districts of Madhya Pradesh, India – Jabalpur, Mandla and Damoh – where one round of farm household survey and focus group discussions had been already completed one year ago. In 2018, a first-round of farm household survey was conducted among 400 households in Madhya Pradesh (Dataset Persistent ID: hdl:11529/10548897). We interviewed both male and female heads (i.e., a total of 800 interviews). Questions were asked on women’s role in decision making and their involvement in farm-household activities. In addition to farm household surveys, 60 sex-specific focus group discussions were conducted with male and female farmers. The results revealed that the varietal turnover rate in wheat is significantly low in this region, with most farmers cultivating age-old varieties such as Lok 1. The same farm households were interviewed in 2018, to form the current dataset. The aim was to better understand their preferences for wheat varietal traits (e.g., early maturing; suitability for chapatti making, drought tolerance etc.). Choice experiments and contingent valuation approaches will be used to elicit farmer preference for varietal attributes. The elicited preferences will be explained using data from the 2018 survey.
CIMMYT Ethiopia
The dataset is generated as part of an empirical study to develop a mixed research methodology, taking variables from both quantitative household surveys and qualitative case studies for quickly and effectively capturing rural women involvement and empowerment and their ramifications on technological change and farmer livelihoods. Focus Group Discussions (FGDs) were conducted in the second half of 2018 in Madhya Pradesh (India), where wheat is one of the main crops. The empirical part of this study is based on data collected from three districts of Madhya Pradesh, India – Jabalpur, Mandla and Damoh. Madhya Pradesh is one of the states with largest wheat growing area (19% of wheat area in India) but with lower wheat productivity (2.85 tons) compared to other major producers (4.29 tons in Punjab and 3.98 tons in Haryana in 2014-15 season). From each of the three districts, 5 villages were selected for data collection. We restricted our study to those villages where wheat is one of the main crops. Of the total 15 villages, three included the GENNOVATE case study communities (non-random selection). The other 12 will be selected based on the remoteness to the state road highways (6 close, 6 remote). From each village, two wards (sub-units of village) will be selected based on the income poverty (one where most of the poor households reside, and other with the non-poor). Two FGDs were conducted (one for men, one for women) in the selected wards.