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  • 1.1-Kharif (summer) rice-all nodes-Long term trail (LT)-Rajshahi-Bangladesh N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Farmers’ participatory researchers managed long-term trials aimed to improve the productivity, profitability, and sustainability of smallholder agriculture in the EGP by activities carried out to address the objectives: 1. Understand farmer circumstances with respect to cropping systems, natural and economic resources base, livelihood strategies, and...
    Created January 20, 2025 Updated January 20, 2025
  • Discovery of variants in the parental lines grown in the hybrid crossing bloc... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Genotyping-by-sequencing (GBS) data, variant calls and Single Nucleotide Polymorphism (SNP) calls of parental lines grown in the hybrid crossing block in 2017.
    Created January 20, 2025 Updated January 20, 2025
  • Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wh... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Sequence capture data from the project IWYP39 investigating allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines. Datasets also describe the sequence of the genes for different members of the gene families in bread and durum wheat.
    Created January 20, 2025 Updated January 20, 2025
  • 15th High Temperature Wheat Yield Trial N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Temperature Wheat Yield Trial (HTWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents high temperature areas.
    Created January 20, 2025 Updated January 20, 2025
  • 8.3-Zero tillage maize weed management-on-station research trials-SRFSI Proje... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The direct seeded maize in no-till/strip till/permanent beds or tilled soil with fresh beds is an alternate option through mechanized precision planting in a single pass. The CA-based crop management techniques will be faced major concern of weed management initially. To address the weed management problems in CA-based maize production under no-till...
    Created January 20, 2025 Updated January 20, 2025
  • 8.2-Zero tillage rice weed management learning module- -SRFSI Project-ACIAR-C... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Dry direct-seeded rice in no-till or tilled soil is an alternate option for transplanting rice but due to weed management constraints, farmers hesitate to adopt the direct seeded rice. To address the weed management problems in dry direct seeded rice, different weed management options trial is designed to convince different stakeholders including farmers,...
    Created January 20, 2025 Updated January 20, 2025
  • 8.1-Direct seeded rice weed management-on-station research trials-SRFSI Proje... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Dry direct-seeded rice in no-till or tilled soil is an alternate option for transplanting rice but due to weed management constraints, farmers hesitate to adopt the direct seeded rice. To address the weed management problems in dry direct seeded rice, different weed management options trial is designed to convince different stakeholders including farmers,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.6-APSIM-BAU-Purnea-on-station research trials-SRFSI Project-ACIAR-CIMMYT N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.5-APSIM-RARS-Tarahara-on-station research trials-SRFSI Project-ACIAR-CIMMYT N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.4-APSIM-UBKV-Choochbehar-on-station research trials-SRFSI Project-ACIAR-CIMMYT N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.3-APSIM-Wheat Research Center-Dinajpur-on-station research trials-SRFSI Pro... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.2-APSIM-BARI OFRD-Rangpur-on-station research trials-SRFSI Project-ACIAR-CI... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 7.1-APSIM-Regional Wheat Research Center-Rajshahi-on-station research trials-... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    • APSIM is an internationally well-recognized cropping systems models for scientists. An SRFSI team conducted many on-station trials in partners’ research station, which managed by SRFSI NARES partners’ scientists for validation of APSIM. The models simulated biophysical performances on the systems on a daily basis in terms of crop yields, water use,...
    Created January 20, 2025 Updated January 20, 2025
  • 28th High Rainfall Wheat Screening Nursery N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).
    Created January 20, 2025 Updated January 20, 2025
  • 27th High Rainfall Wheat Screening Nursery N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).
    Created January 20, 2025 Updated January 20, 2025
  • Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel A... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    SASHAYDIALL is a code written in SAS to perform diallel analysis according to the method of Hayman (1954). The SASHAYDIALL program was written in SAS/IML and runs in SAS version 9.0 or higher. The SASHAYDIALL program requires an input ‘csv’ format data file that has replication, parent 1, parent 2, and the trait of interest for a single site experiment....
    Created January 20, 2025 Updated January 20, 2025
  • 24th Semi-Arid Wheat Yield Trial N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The Semi-Arid Wheat Yield Trial (SAWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone environments typically receiving less than 500 mm of water available during the cropping cycle. The combination of water-use efficiency and water responsive broad adaptation plus yield...
    Created January 20, 2025 Updated January 20, 2025
  • 37th Elite Selection Wheat Yield Trial N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow rusts, Karnal bunt, and lodging. Representative areas include the Gangetic...
    Created January 20, 2025 Updated January 20, 2025
  • 49th International Bread Wheat Screening Nursery N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility conditions, water management, and (most importantly) disease conditions. The...
    Created January 20, 2025 Updated January 20, 2025
  • TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Household data N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...
    Created January 20, 2025 Updated January 20, 2025