If you find a 2nd Edition PDF online (which is easier to locate legally, as it is older), know what you are missing:
Quantitative traits in plants refer to characteristics that exhibit continuous variation, such as plant height, yield, and disease resistance. Breeding for these traits is a complex process that requires a deep understanding of genetics, statistics, and plant breeding principles. The third edition of "Breeding for Quantitative Traits in Plants" is a highly sought-after resource that provides a comprehensive guide to plant breeders, geneticists, and researchers working in the field of plant breeding. In this article, we will provide an overview of the book, its contents, and the importance of breeding for quantitative traits in plants.
Clearly, the 3rd Edition is a necessary upgrade. Breeding For Quantitative Traits In Plants 3rd Edition Pdf
: Covers phenotypic and genotypic values, breeding values, dominance deviations, and the selection of parents to maximize performance. Quantitative Trait Locus (QTL) Mapping
The book is organized into four primary sections designed to guide a breeder from foundational population genetics to advanced selection methodologies: If you find a 2nd Edition PDF online
| | 2nd Edition (2002/2010) | 3rd Edition (Current) | | :--- | :--- | :--- | | Molecular Markers | RFLPs, SSRs | SNPs, haplotypes, K-mers | | Prediction Methods | Pedigree-based BLUP | Genomic BLUP, Bayesian, ML | | GEI Modeling | Biplots (AMMI) | Envirotyping + Factor Analytic | | Gene Editing | Not covered | CRISPR-mediated QTL editing | | Software | SAS/SPSS | R (rrBLUP, BGLR, ASReml) |
The demand for the stems from several practical constraints: In this article, we will provide an overview
Unlike earlier editions where molecular markers were a separate topic, the 3rd edition integrates them throughout the text to facilitate tasks like estimating genetic relatedness and mapping.
: Updated coverage of DNA markers and their use in improving complex traits. Prediction Methodologies