Dataset processed from a household-level survey to describe the main farm characteristics, production, and resource allocation in two municipalities across three regions of Bangladesh: North (Dinajpur, Nilphamari, Rangpur), West (Nawabganj, Rajshahi), and South (Barguna, Barisal, Patuakhali). Data was collected between December 2022 and June 2023.
The database compiles information on the adoption of digital innovations in agriculture in India, sourced from surveys conducted between June and November 2023. It includes data gathered from 69 organizations, encompassing details about organizational profiles, types of digital interventions, business models, perceived impact, strategic collaborations, as well as skills in data, analysis, involved ecosystems, and obstacles to development
The dataset provides detailed information regarding the implementation of digital technologies in the agricultural domain. It encompasses variables spanning a wide spectrum, from organizational details to the potential impact on various stakeholders within the agricultural sector. Variables include information about the organization and associated role types, as well as specifics about the utilization and adoption of digital innovations in agriculture. Aspects related to data capture, analysis, and types of data processed are explored, alongside tools employed for these purposes. Furthermore, details about specific interventions, associated business models, involved end-users, and potential economic, social, and environmental impacts are presented. It consists of data from 50 organizations in Kenya, covering technical aspects such as agricultural data capture and analysis, to broader issues like perceived and real barriers to adopting digital technologies in the agricultural sector. This diversity provides a comprehensive view of the implementation and potential impact of digital innovation in agriculture.
Se llevó a cabo un estudio para analizar la red de actores y proveedores de información digital en sistemas agroalimentarios, identificando colaboraciones, tipos de datos, desafíos en su gestión y habilidades en su análisis. Se recopiló información de 490 contactos de diferentes sectores en Guatemala y Honduras, de éstos se seleccionaron 164 y entre ellos se entrevistaron 62 actores. La encuesta consta de ocho secciones con 58 preguntas, abordando desde detalles organizativos hasta impacto económico y social de intervenciones digitales. Su objetivo es cerrar la brecha digital y fortalecer capacidades en la región.
The Nepal Crop Type Survey 2022-2023 aims to comprehensively assess and categorize the diverse range of crops cultivated across various regions of Nepal. This survey endeavors to capture the agricultural landscape, identifying predominant crop types, their distribution, and cultivation practices. Objectives of this survey were i) to identify diverse range of crops cultivated across various regions for understanding agricultural diversity within Nepal, ii) to map the crop types by using survey data collected on the ground in combination with high-resolution satellite images (ESRI World Imagery, Venµs and Sentinel-2), and iii) to create a dataset for the winter crops covering most of the Terai region of Nepal.
Here we present a summary of public data availability for agrobiodiversity-related indicators of regional agrifood systems. Data have been drawn from surveys, reports, and censuses in Bangladesh, India, Nepal, and Pakistan.
The integrated BEM and e-Agrology dataset encompasses historical data from 2012 to 2022, compiled in Mexico. This dataset contains detailed information on farmers' field data, plots, and specific details of plots related to various crops grouped in nearly five hundred variables, covering different stages of the agronomic cycle. By sharing it with the community, invaluable insights can be extracted, aiding in the dissemination of knowledge. Additionally, it supports farmers in improving their production practices
The fall armyworm (FAW; Spodoptera frugiperda ) has emerged as a serious threat to maize production in Africa since 2016, and in Asia since 2018. Host plant resistance is an important component of integrated pest management (IPM). Leveraging on CIMMYT’s tropical insect-resistant maize germplasm developed in Mexico, coupled with elite stress-resilient maize germplasm developed in sub-Saharan Africa, CIMMYT conducted intensive efforts over three years to identify and validate sources of native genetic resistance to FAW in Africa. This included screening more than 3500 hybrids in 2018 and 2019. In 2020, CIMMYT evaluated a set of eight selected test hybrids (based on on-station results for FAW tolerance during trials in 2018-2019) along with four widely used commercial hybrids under different experiments/trials. The results of the trials for the three selected FAW tolerant hybrids as well as the checks are presented in this dataset.
Since 2011 MLN has become a disease of serious concern in the east African countries of Kenya, Tanzania, Uganda and possibly Rwanda. CIMMYT has been working in close collaboration with the Kenya Agricultural Research Institute (KARI), private sector partners and virology experts from the USA to combat the disease through host-controlled resistance. A CIMMYT-KARI MLN Screening Facility was established at Naivasha in September 2013, and a large array of maize germplasm is presently being evaluated against the disease under artificial inoculation. Subsequent to the development of effective protocols, CIMMYT and KARI have been conducting MLN screening trials in Kenya since 2012, to identify promising inbred lines and pre-commercial maize hybrids with resistance to MLN. This is the second update of the information on potential MLN-resistant or moderately resistant inbred lines and pre-commercial hybrids (in CIMMYT genetic backgrounds), following the first update that was shared with public and private sector partners in May 2013.
Mombasa (CIAT 6962, IRD/ORSTOM K190A, BRA 006645) was collected near Korogwe, Tanzania (5.20° S 38.50° E, 290 m asl, rainfall 1,050 mm) and ) and released as a cultivar in Brazil in 1993. It has an erect growth habit, large tussocks to 1.65 m, stems tinged with purple, leaves are long, to 3 cm wide, with short hairs on the upper surface; leaf sheaths are glabrous. Hand harvested clean seed yield ca 140 kg/ha (av.7 years) and up to 470 kg/ha. This accession showed high resistance to spittlebug, and good drought and cold tolerance. Dry matter yield is 28 % more than that of 'Tanzânia-1'. Liveweight gains of 770 kg/ha/yr compared with 600 and 590 kg/ha/yr from 'Tanzânia-1' and 'Tobiatã'. Although selected in the humid tropics, it is proving popular in the Middle East and Spain.
