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- » Chapter 5. Linear genomic selection indices
- » Chapter 6. Constrained linear genomic selection indices
- » Chapter 7. Linear phenotypic eigen selection index methods
- » Chapter 8. Linear molecular and genomic eigen selection index methods
- » Chapter 9. Multistage linear selection indices
- » Chapter 10. Stochastic simulation of four linear phenotypic selection indices
- » Chapter 11. RIndSel: selection Indices with R
- » Chapter 6: Role and challenges of the private seed sector in developing and disseminating climate-smart crop varieties in Eastern and Southern Africa
- » Workshop on data standardization and minimum data sets: setting the scene
- » Beyond the hype: what are useful links between DLT and GSI for smallholder agriculture
- » Ex-ante analysis to determine potential benefits from BNI-technology
- » Foresight for Maize and Wheat
- » Making messy socio-economic data FAIR
- » The role of big data for next generation climate change scenario analysis
- » Changing food systems increase complexity of meeting SDGs
- » Novel molecular marker-assisted strategy for production of wheat-Leymus mollis chromosome addition lines
- » An R package for multitrait and multienvironment data with the Item-based collaborative filtering algorithm
- » Performance of elite drought tolerant maize varieties tested on farm in eastern and southern Africa
- » CIMMYT in Africa
- » CIMMYT and Ethiopia: Helping farmers achieve higher yields and incomes
- » Fall Armyworm Activity
- » Phenotyping to identify Maize Lethal Necrosis resistant germplasm: Recent Advances in Phenotyping for MLN
- » Pathogens Without Borders - Keeping Ahead of the Wheat Rust Menace
- » Relationship between the number of partial resistance genes and the response to leaf rust in wheat genotypes
- » Combining ability of yellow lines derived from CIMMYT populations for use in subtropical and tropical midaltitude maize production environments
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