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Summary agronomic data for model calibration and validation for key crops in ...
Overview of agronomic data for the calibration and validation of models for major crops in sub-Saharan Africa. -
Maize-grain zinc and iron concentrations as influenced by agronomic managemen...
This dataset supports a global meta-analysis that assesses how agronomic practices and soil characteristics influence zinc (Zn) and iron (Fe) levels in maize grain. Drawing on... -
HYDROPONICS AMENABILITY EXPERIMENT
The SeEDEQUAL Initiative, (now transitioned into the Breeding for Tomorrow-Inclusive Delivery area of work ) is an integral part of Genetic Innovation in the One CGIAR Action... -
Response of field-planted leaf-bud cuttings to different shade materials and ...
The Program for Seed System Innovation for Vegetatively propagated Crops in Africa (PROSSIVA) -
Soil and yield in legume niche exploration
The project aims at facilitating the smart integration and use of multi-purpose legumes, providing food, protein, feed, fuel, and/or organic matter in smallholder... -
Zero Hunger Project Baseline Data for Ogun State
This project is a strategic initiative to ensure that government policies from agriculture development do lead to actual agricultural transformation in Nigeria and Togo towards... -
Zero Hunger Project Baseline Data for Ebonyi State
This project is a strategic initiative to ensure that government policies from agriculture development do lead to actual agricultural transformation in Nigeria and Togo towards... -
Zero Hunger Project Baseline Data for Benue State
This project is a strategic initiative to ensure that government policies from agriculture development do lead to actual agricultural transformation in Nigeria and Togo towards... -
Zero Hunger value addition training data for Togo, 2025
Same as previous description for Zero Hunger Project -
Cutting-Dip in insecticides for control of whiteflies in cassava under farmer...
The project evaluated efficacy of cutting dipping in insecticides solutions for control of whiteflies in cassava under farmer field conditions. -
Results from the first season of analysis for 8 cassava varieties
A challenge observed is the nature of RTB crops which demand more strategic logistics as the ‘seed’ of RTB crops are not grains but cuttings, suckers or vines. These are bulkier... -
Efficacy of botanical oils and cutting dipping in insecticides for control of...
The project evaluated efficacy of crude formulation of neem oil, commercial neem oil in combination with cutting dipping in insecticides solutions for control of whiteflies in... -
Bioecology of host instars development of Zeugodacus cucurbitae Coquillett an...
Better knowledge on the biology of Dacus vertebratus and Zeugodacus cucurbitae, most damageable pest of Citrullus lanatus for their sustainable management -
Guidelines and Best Practices for Digital Data Collection and Management of B...
Digital Data Collection and Management of Breeding Trials using Field Book, BrAPI and EBS. -
Standard Operating Procedure for High throughput Phenotyping using NIRS
The near-infrared spectroscopy is a non-destructive and rapid method for predicting the qualitative and quantitative properties of samples. The NIRS spectral regions, which are... -
Standard Operating Procedure (SOP) FOR DNA EXTRACTION
Deoxyribonucleic acid (DNA) extraction is an important process in molecular plant breeding. DNA extraction involves isolating DNA from the nucleus of a cell. Once purified,... -
STANDARD OPERATING PROCEDURE (SOP) FOR LEAF SAMPLE COLLECTION FOR GENOTYPING
Application of deoxyribonucleic acid (DNA) technology in plant breeding offers an opportunity to enhance and accelerate genetic gain. Molecular markers, which are DNA or gene... -
STANDARD OPERATING PROCEDURE (SOP) FOR HARVESTING AND HARVEST EVALUATION IN C...
In cassava breeding, harvesting is carried out to determine the root yield and assess other important traits. It marks the end of the fieldwork for an experimental cassava... -
STANDARD OPERATING PROCEDURES FOR PHENOTYPING DATA MANAGEMENT IN IITA CASSAVA...
Data management involves data collection, curation, analysis, and storage to ensure accessibility to quality data. The goal of data management is to provide breeders with... -
Standard Operating Procedure (SOP): Weed Control and Management
Weed control and management are well-planned field operations carried out to prevent, remove, or limit weed infestations so the crops can grow to attain high productivity. The...
