Resultados de búsqueda - DJIA~

  1. Strengthening Climate-Resilient Agricultural Systems in South Asia: CCAFS South Asia Regional Meeting Report por CGIAR Research Program on Climate Change, Agriculture and Food Security

    Publicado 2019
    “…The two-day agenda included thematic sessions on topics such as developing and evaluating alternative policy and institutional models for scaling-up climate smart food system in South Asia, big-data analytics to identify and overcome scaling limitations to climate-smart agricultural practices in South Asia, capacity building for scaling up CSA via South- South collaboration among others. …”
    Enlace del recurso
    Informe técnico
  2. Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" por Sousa, Kauê de, Etten, Jacob van, Poland, Jesse A., Fadda, Carlo, Jannink, Jean-Luc, Gebrehawaryat, Yosef, Lakew, Basazen Fantahun, Mengistu, Dejene Kassahun, Pè, Mario Enrico, Solberg, Svein Ø., Dell’Acqua, Matteo

    Publicado 2020
    “…We collected phenotypic data and farmer evaluation data in this trial. For the decentralized trial, we distributed a subset of 41 genotypes as packaged sets containing incomplete blocks of three genotypes, plus one commercial variety for each farmer, following the “tricot” citizen science approach. …”
    Enlace del recurso
    Conjunto de datos
  3. Standard operating procedures for sweetpotato breeding data management. COP Breeding Data Management SweetGAINS por Wanjohi, L., Eyzaguirre, R., Boeck, B. de

    Publicado 2020
    “…This document needs to be considered as an alive one, as through its ensuing iterations additional SOPs will be added, and the current ones would be modified to reflect the learnings acquired. The data management SOPs in this volume cover the following key sweetpotato breeding data workflows: phenotyping, crossing, quality assessment, germplasm management, and DNA sample management. …”
    Enlace del recurso
    Manual
  4. Could payments for environmental services improve rangeland management in Central Asia, West Asia and North Africa? por Dutilly-Diane, Celine, McCarthy, Nancy, Turkelboom, Francis, Bruggeman, Adriana, Tiedemann, James, Street, Kenneth, Serra, Gianluca

    Publicado 2007
    “…Although several institutional and management approaches that address the degradation of the rangelands have been tested in the dry areas of Central and West Asia and North Africa (CWANA), impact has been limited. …”
    Enlace del recurso
    Artículo preliminar
  5. Bringing together measurements and data science for better nitrous oxide emission accounting in data-poor regions por Harris, E., Barthel, M., Leitner, Sonja, Ouma, T., Agredazywczuk, P., Otinga, A., Njoroge, R., Oduor, Collins, Oluoch, K. C.

    Publicado 2025
    “…Measurement campaigns in data-poor regions should prioritise calibration, collection of ancillary data (such as soil moisture, temperature and nitrogen content), robust metadata reporting, and open data sharing, to maximise the impact of measurements and facilitate data-driven analyses. …”
    Enlace del recurso
    Resumen
  6. Training on IRI Climate Data Tools and developing a method for integrating climate data in Kigali, Rwanda por Faniriantsoa, Rija

    Publicado 2017
    “…The integration of these datasets to ENACTS datasets is very important to improve the quality of climate data in Rwanda. Thus, the current training activities had three major components: (1) make a full use of the IRI Climate Data Tools (CDT) to create and analyze ENACTS datasets; (2) develop quality control procedures and create scripts to integrate data from the AWS network into ENACTS datasets; and (3) create scripts to process and adjust the radar-based precipitation estimates with data from the AWS network and integrate the processed data into ENACTS datasets.…”
    Enlace del recurso
    Informe técnico
  7. Improving activity data for Tier 2 estimates of livestock emissions: Dealing with data gaps - Introduction and overview por Clark, Harry, Wollenberg, Eva Karoline

    Publicado 2018
    “…Expert workshop on Improving activity data for Tier 2 estimates of livestock emissions: Dealing with data gaps The Hauge, July 17-18, 2018 Introduction and overview…”
    Enlace del recurso
    Ponencia
  8. Estimating wood volume and basal area in forest compartments by combining satellite image data with field data por Holmgren, Johan

    Publicado 2012
    “…Landsat TM satellite image data and field data from the National Forest Inventory (NFI) were combined using the kNN method. …”
    Enlace del recurso
    Second cycle, A1E

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