PEDIGREE CORRECTION AND ESTIMATION OF BREEDING VALUES FOR PEACH GENETIC IMPROVEMENT

Modern genetic improvement methods require a high degree of certainty con-cerning breeding pedigrees.
In large plant breeding operations, however, this degree of certainty is constantly compromised as a result of multiple biological, environmental and human factors.
A pedigree correction method based on information from molecular markers, breeding program records and the software package FRANZ, which performs an algorithm for pedigree reconstruction, has been tested, which has allowed a corrected estimation of Breeding Value (BV) for fruit weight through either Bayesian or frequentist approaches.
Prior to pedigree correction, segregation distortions were for several accessions observed, which distorted the estimation of genetic parameters.
After the pedigree correction, inconsistencies could be identified in approximately 20% of the accessions tested.
Several of these accessions appeared to originate from crosses other than those recorded.
Subsequently, the corrected pedigree was used for BV estimation, showing that two distinct and mutually exclusive approaches used for estimation yielded similar results, although some inconsistencies arose in the rankings of the most likely parentages.

VIII International Peach Symposium

J. Fresnedo-Ramírez, C.H. Crisosto, T.M. Gradziel, T.R. Famula

Prunus persica (L.) Batsch, fruit weight, QTLs, Bayesian, frequentist, SNPs, SSRs, REML, Metropolis Coupled Markov Chain Monte Carlo, (MC)³

https://doi.org/10.17660/ActaHortic.2015.1084.35