TY - GEN
T1 - Discovering peach QTLs with multiple progeny analysis
AU - Mora, J.R.H.
AU - Micheletti, D.
AU - Bink, M.C.A.M.
AU - van de Weg, W.E.
AU - Bassi, Daniele
AU - Nazzicari, Nelson
AU - Caprera, Andrea
AU - Dettori, Maria Teresa
AU - Micali, Sabrina
AU - Dirlewanger, E.
AU - Lambert, Patrick
AU - Pascal, Thierry
AU - Banchi, E.
AU - Troggio, M.
AU - Rossini, Laura
AU - Verde, Ignazio
AU - Quilot-Turion, Bénédicte
AU - Laurens, F.
AU - Arús, Pere
AU - Aranzana, M.J.
PY - 2017
Y1 - 2017
N2 - Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.
AB - Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.
KW - FlexQTL
KW - FruitBreedomics
KW - Joint progeny analysis
KW - Maturity date
KW - Percentage of skin color
U2 - 10.17660/ActaHortic.2017.1172.77
DO - 10.17660/ActaHortic.2017.1172.77
M3 - Conference paper
AN - SCOPUS:85031723363
VL - 1172
T3 - Acta Horticulturae
SP - 405
EP - 410
BT - 14th EUCARPIA Symposium on Fruit Breeding and Genetics
PB - ISHS
ER -