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Work-plan 2017: Biometrics and Statistics Section
Biometrics and Statistics support will be made available in the design of experiments, data
analysis and inference, and statistical review of scientific manuscripts. Support will also be given
in statistical computing and ...
Report of Biometrics and Statistics Activities During 2016
Delivered biometrics and statistics support to the scientists and students on experimental
design and statistical analysis, developed computing codes and carried out data analyses,
helped in drawing inferences, suggested ...
A report of trip to Hyderabad and New Delhi, 19 November – 27 December 2016 for ISAS Conference and Biometrics and Statistics Support to SA&C RP and Afghanistan Projects
A report of trip to Hyderabad and New Delhi, 19 November – 27 December 2016 for ISAS Conference and Biometrics and Statistics Support to SA&C RP and Afghanistan Projects
CG Core Metadata Schema and Application Profile - Beta Version 1.0
This document is designed to present and offer guidance for using CG Core, the set of metadata elements used by CGIAR Research Center and CRP repositories, in order to facilitate cross-repository searching and enhance ...
Experimental Designs for Alley Cropping to Estimate Shrub × Grass Interaction
Presents a series of experimental designs to estimate shrub x grass interactions and illustrates the data analysis using a simulated dataset.
Monitoring, Evaluation & Learning (MEL): Envisioning an Optimal Data Flow to achieve Development Outcomes
Impact in agricultural research is strictly related to the data flow quality within research for development institutions. Achieving the Sustainable Development Goals (or Development Outcomes) is the final stage of the ...
MEL Survey - Feedback on reporting 2016 "What we Learned"
Monitoring, Evaluation and Learning (MEL) is a multi-center and multi-CRP online platform for integrated management, monitoring, and reporting of projects, from planning to budgeting, risks assessment and knowledge sharing. ...
A Web-based Platform for Enhancing Monitoring, Evaluation and Learning (MEL) in Research for Development - Toward Achieving Development Outcomes
Achieving efficiency in large and complex research for development programs (R4D) is a significant
challenge. In 2015, as a response to the lack of a shared monitoring and evaluation system for CGIAR
Research Programs ...
Identification of desirable mutants in quantitative traits of lentil at early (M2) generation
Aim: Narrow genetic base and limited genetic diversity are the major research constraints that affect efficacy of class breeding methods in lentil. In order to circumvent these conditions, mutation breeding techniques were ...