Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies

Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies

Abstract Background Highly polygenic traits such as fruit weight, sugar content and acidity strongly influence the agroeconomic value of peach varieties. Genomic Selection (GS) can accelerate peach yield and quality gain if predictions show higher levels of accuracy compared to phenotypic selection....

Full description

Bibliographic Details
Main Authors: Filippo Biscarini, Nelson Nazzicari, Marco Bink, Pere Arús, Maria José Aranzana, Ignazio Verde, Sabrina Micali, Thierry Pascal, Benedicte Quilot-Turion, Patrick Lambert, Cassia da Silva Linge, Igor Pacheco, Daniele Bassi, Alessandra Stella, Laura Rossini
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Genomics
Subjects:
Peach (Prunus persica)
Genome-enabled predictions
Fruit weight
Sugar content
Titratable acidity
Genotype imputation
Online Access:http://link.springer.com/article/10.1186/s12864-017-3781-8

Internet

http://link.springer.com/article/10.1186/s12864-017-3781-8

Similar Items