Standard Operating Procedure (SOP) for Maize Data Management

The role of data management cannot be underestimated in the modernization efforts of breeding operations in accelerating improvement in genetic gains. Current breeding programs generate chunks of data which they rely on for decision making at all stages of the breeding cycle. Lack of standard procedures in data collection and management is likely to introduce errors into the data unknowingly. These errors can negatively impact genetic gain and the uptake of improved maize varieties by smallholder farmers. This document describes standard operating procedures (SOPs) for implementing breeding data workflows to ensure that all necessary breeding data for maize is recorded appropriately and made readily accessible. This is a living document subject to update to accommodate current learning and workflows in the breeding cycle.

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Creator Simon Imoro
Creator Affiliation International Institute of Tropical Agriculture (IITA)
Creator email S.Imoro@cgiar.org
Creator ID Type ORCID
Creator ID 0000-0002-3504-9109
Subject Vocab (AGROVOC/GACS/CAB)
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Publisher International Institute of Tropical Agriculture (IITA)
Contributor Person 1 Wende Mengesha
Contributor Person 1 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 1 email W.Mengesha@cgiar.org
Contributor Person 2 Silvestro Meseka
Contributor Person 2 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 2 email S.Meseka@cgiar.org
Contributor Person 3 Bunmi Bossey
Contributor Person 3 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 3 email B.Bossey@cgiar.org
Contributor Person 4 Abebe Menkir
Contributor Person 4 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 4 email A.Menkir@cgiar.org
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Contributor Project Lead Organisation Center International Institute of Tropical Agriculture (IITA)
Contributor Project Lead Center
Contributor Initiative/CRP Non-Initiative/CRP
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Contributor Donor Not Applicable
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Open-Access status Open Access
Production Date 2022-07-15
Embargo End Date
Content Type Training Material
File Format pdf
Identifier Type DOI
Identifier https://doi.org/10.25502/pr4g-vy75/d
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Language English
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Contact Simon Imoro, Data Manager, Breeding; International Institute of Tropical Agriculture (IITA)
Contact Email S.Imoro@cgiar.org
Restriction CC-BY 4.0
Email Permission None
Rights CC-BY 4.0