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Replication Data for: MasAgro maize seed evaluation network yield data, 2011-2019
No full textEvery year, the MasAgro maize component of the Sustainable Modernization of Traditional Agriculture project (MasAgro) established a seed evaluation network in the three mega-environments of maize production in Mexico (Subtropic, Tropic and Highlands) to evaluate all materials developed by CIMMYT breeders for MasAgro, and assess their performance vis-à-vis public and private materials under development or readily available in the market. This dataset contains grain yield (GY) information (N=897) of subtropical, tropical and highlands’ white (n=582) and yellow (n=315) hybrids evaluated from 2011 to 2019. Yield data were previously processed and analyzed by CIMMYT's Subtropical, Tropical and Highlands maize breeding programmes. Open-pollinated varieties (OPVs) were excluded to compare GY of only hybrids. Hybrids were classified into five categories based on the entity responsible for their development or the proprietary holder. These categories are: CIMMYT MasAgro (hybrids developed by CIMMYT for MasAgro, Public (hybrids developed by public NARS), Private national (hybrids developed by national companies using proprietary germplasm); and Multinational (hybrids developed by multinational companies). The dataset is used to compare GY of MasAgro, public, private national and multinational hybrids across all years (2011-2019), for each colour – yellow and white maize – and mega-environment – subtropic, tropics and highlands.To obtain a fair comparison between different hybrid categories, it is advisable to use the sub-dataset (n=341) containing GY of the top two white and two yellow hybrids evaluated in each mega-environment from 2011 to 2019. This is because only the top one or two commercial multinational checks were used in the MasAgro seed trials network each year
Survey among Happy Seeder Service Providers in Punjab
No full textThe 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)
Farmer Census: Adoption of sustainable intensification technologies in Nepal Terai region
No full textSustainable intensification of agriculture (SIA) is promoted by a number of Research-for-Development (R4D) programs and institutions to improve yields, rural incomes, and food security while decreasing or at least maintaining the current expansion of agricultural land and other adverse environmental impacts. One of the major SIA programs was the Cereal System Initiative for South Asia (CSISA), which was established in 2009 with the goal of benefiting more than 8 million farmers by the end of 2020 (https://csisa.org/). After the initial phase, the project shifted its regional focus, toward the eastern Indo-Gangetic Plains. The region is characterized by small farm sizes, low incomes, and comparatively low levels of agricultural mechanization, irrigation, and productivity. The project partners with the national universities, State Departments of Agriculture, national-level initiatives, livelihoods programs, state agricultural universities, NGOs, and private sector entities such as agricultural machinery manufacturers, dealers, and local service providers. The current census among rural households was conducted in 2020, as part of CSISA Nepal.
The main research question while starting this farmer census was to estimate the farm-level reach and adoption of CSISA-interventions in Nepal. We aimed to show how inclusive these technologies are, and whether there is a need for social targeting. The study was conducted in 9 districts of Nepal Terai region - Banke, Bardiya, Dang, Kailali, Kanchanpur, Kapilvastu, Nawalpur, Parasi, and Rupendehi. These are the districts where CSISA project has been active in the last decade, and they are major cereal producers in the country. Fifty villages were selected in total – 40 were selected randomly, and 10 from the list of villages where CSISA has been active. In all the 50 villages, village census was conducted in which farmer information (name, phone number, etc.) alongside technology adoption details were collected. During the two-month period (2020), about 38,000 rural households were covered as part of the census
Digital Agricultural Innovation Survey - India 2023
No full textThe 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 developmen
Replication Data for: Investigating genomic prediction strategies for grain carotenoid traits in a tropical/subtropical maize panel
No full textVitamin A deficiency continues to cause challenges around the world including in areas where maize is an important component of human diets. Biofortification offers one solution for alleviating this deficiency. A Carotenoid Association Mapping panel, developed by the International Maize and Wheat Improvement Center (CIMMYT) contains 380 inbred lines adapted to tropical and subtropical environments that have varying grain concentrations of provitamin A and other health-beneficial carotenoids. The data in this study were used to assess the accuracy of several genomic prediction (GP) strategies for maize grain carotenoid traits within and between four environments in Mexico. Results are provided for these strategies including Ridge Regression-Best Linear Unbiased Prediction (including all markers versus subsets of markers), Elastic Net, Reproducing Kernel Hilbert Spaces, and Least Absolute Shrinkage and Selection Operator. The findings described in the accompanying journal article indicate the utility of genomic prediction methods for grain carotenoid traits and could inform their resource-efficient implementation in biofortification breeding programs
Comprehensive Agronomic Dataset: Data from El Bajío, Mexico (2012 to 2022)
No full textThe integrated BEM and e-Agrology dataset comprises historical data from 2012 to 2022, specifically collected from the Bajío region in Mexico, which includes the states of Guanajuato, Jalisco, Michoacan, and Queretaro. This dataset offers comprehensive information on farmers' field activities, plot details, and specific characteristics of various crops, organized into nearly five hundred variables that cover all stages of the agronomic cycle. By making this data available to the community, it provides valuable insights that can enhance knowledge dissemination and support farmers in refining their production practices
2024 CIMMYT Maize Latin America Product Announcement / Anuncio de Productos de Maíz de CIMMYT en Latinoamérica 2024
No full textNew and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Latin America and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in the 2023 Stage 5 trials, CIMMYT advanced a total of four (4) new elite maize hybrids in Latin America in 2024. Phenotypic data collected in Stage 4 and Stage 5 trials for the four selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARS and private seed companies, in Latin America under various management and environmental conditions.
Nuevos y mejorados híbridos desarrollados por el Programa Global de Maíz del CIMMYT se ponen a disposición de instituciones del sector público y privado, especialmente para aquellas instituciones colaboradoras interesadas en la comercialización y diseminación de semilla de maíz en Latinoamérica o en zonas agroecológicas similares. Después de un riguroso proceso de evaluación de germoplasma en distintas etapas que culminó en ensayos de evaluación de híbridos en etapa cinco, el CIMMYT avanzó cuatro (4) nuevos híbridos élite en Latinoamérica en 2024. Datos fenotípicos recopilados en los ensayos en etapa cuatro y cinco, además de información sobre los sitios están incluidos en este conjunto de datos. Estos ensayos fueron conducidos bajo diferentes condiciones de manejo y ambientes a través de redes colaborativas con instituciones de investigación pública y empresas semilleras de Latinoamérica
Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal
No full textSustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal.
These datasets covered all experimental data of TAFSSA On-station experiment on diversified cropping systems from 2022 to 2023. The parametrs are crop productivity, inputs, outputs and nutrition of different cropping system
Biophysical and Socioeconomic status mapping for targeted agricultural technology implementation in Laos
No full textSeries of thematic maps on biophysical and socioeconomic status of Laos to guide targeting of agricultural technologie
Biophysical and Socioeconomic status mapping for targeted agricultural technology implementation in Malawi
No full textSeries of thematic maps on biophysical and socioeconomic status of Malawi to guide targeting of agricultural technologie