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Testcross additive and dominance effects in best linear unbiased prediction of maize single-cross performance
R. Bernardo
Agronomy and Plant Genetics
Research output
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Contribution to journal
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Article
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peer-review
34
Scopus citations
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Dive into the research topics of 'Testcross additive and dominance effects in best linear unbiased prediction of maize single-cross performance'. Together they form a unique fingerprint.
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Keyphrases
Maize
100%
Additive Effect
100%
Dominance Effect
100%
Test Cross
100%
Single Cross
100%
Best Linear Unbiased Prediction
100%
Additive Model
83%
Moisture
66%
Root Lodging
66%
Stalk Lodging
50%
Grain Yield
16%
Multi-location
16%
Genetic Relationship
16%
Prediction Method
16%
Continued Use
16%
Maize(Zea mays L.)
16%
Genetic Variance
16%
Performance Prediction
16%
Cross-validation Method
16%
Hybrid Testing
16%
Dominance Variance
16%
Observed Performance
16%
Testing Program
16%
Agricultural and Biological Sciences
Testcrosses
100%
Grains
33%
Genetic Relationships
33%
Additive Effect
33%
Genetic Variance
33%
Genetic Variability
33%
Genetic Divergence
33%