The use of a fertile doubled haploid apple line for QTL analysis of fruit traits

Bibliographische Detailangaben
Veröffentlicht in:	Breeding science. - 1998. - 69(2019), 3 vom: 10. Sept., Seite 410-419
1. Verfasser:	Kunihisa, Miyuki (VerfasserIn)
Weitere Verfasser:	Takita, Yuki, Yamaguchi, Nanako, Okada, Hatsuhiko, Sato, Mamoru, Komori, Sadao, Nishitani, Chikako, Terakami, Shingo, Yamamoto, Toshiya
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	Breeding science
Schlagworte:	Journal Article QTL analysis acidity detection power doubled haploid ‘Apple Chukanbohon 95P6’ juice browning skin splitting

Beschreibung
Zusammenfassung:	Copyright © 2019 by JAPANESE SOCIETY OF BREEDING. Apple is an economically important crop, and various approaches to genetic analysis in breeding programs have been attempted, including the production of doubled haploid (DH) lines, which are genetically homozygous. In this study, we used a DH line for QTL analyses, for the first time in a fruit tree, expecting it to simplify the analysis of the inheritance of quantitative traits and thus to enhance QTL detection power. Using an F1 population from 'Prima' × 'Apple Chukanbohon 95P6' (DH), we constructed a genetic map of 'Prima', and identified 19 QTLs for 13 traits. These QTLs had comparatively high LOD scores and explained a large part of the variation of the phenotypes. In particular, acidity, juice browning, and skin splitting clearly segregated at a 1:1 ratio, consistent with the segregation of the alleles at the detected QTLs in linkage group 16; these traits appeared to be regulated by single genes, despite general consideration that they are quantitative traits. Using this simple genetic composition of the F1 population, we concluded that the skin splitting of apple fruit has recessive inheritance, and that the allele for splitting is tightly linked with those for high acidity and low juice browning in 'Prima'
Beschreibung:	Date Revised 30.09.2020 published: Print-Electronic Citation Status PubMed-not-MEDLINE
ISSN:	1344-7610
DOI:	10.1270/jsbbs.18197