Breeding for Quantitative Traits in Plants

By R. Bernardo. 2002

390 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/433cd6abdac214022a6aaf8b83748be5fab4e9cd

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1. D. Šimić
2. A. Sudarić
3. G. Covarrubias-Pazaran
4. M. Vratarić

Citations in the corpus

• Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer (2016, methodology): “The package relies on three algorithms based on maximum likelihood (ML) and restricted maximum likelihood (REML); efficient mixed model association (EMMA) [20], direct average information (AI) [21,22], and expectation maximization (EM) [23,24].”
• Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “Previous reviews have indicated that QTL mapping studies have typically detected an average of 3 to 5 QTL for each trait (Kearsey and Farquhar, 1998; Bernardo, 2002, p. 309–311).”
• Characterization of genotype by environment interactions in soybean breeding programmes of southeast Europe (2006, background): “Moreover, yearly variation was the largest source of yield variation and much of this variation is unpredictable, underscoring difficulties even with a multiplicative approach (Bernardo 2002).”