Sweet cherry maturity timing: Genetic factors and geneticpotential prediction
Başlık çevirisi mevcut değil.
- Tez No: 718697
- Danışmanlar: DR. CAMERON PEACE
- Tez Türü: Yüksek Lisans
- Konular: Botanik, Botany
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2020
- Dil: İngilizce
- Üniversite: Washıngton State Unıversıty
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
The use of DNA information promises to reduce sweet cherry breeding costs and time. Maturity timing is one of the primary considerations in cherry breeding because it defines market class, and early and late markets offer more profit to growers. Sweet cherry maturity timing is a highly heritable trait; however, investigation of its genetic control by quantitative trait loci (QTLs) has been limited to single bi-parental families, which does not yet achieve breeding relevance across typical breeding germplasm. The objective of this study was to identify and characterize QTLs associated with maturity timing in breeding germplasm underlying the U.S. sweet cherry industry. The RosBREED Crop Reference Set was used, consisting of 528 individuals from 89 pedigree-connected bi-parental families. This germplasm had been previously genotyped with a 6K SNP array, providing 1617 informative SNP markers, and phenotyped for maturity timing over three years. QTL analysis using the Bayesian approach implemented by FlexQTL™ software revealed eight consistent QTLs on chromosomes 1 (2 QTLs), 3, 4, 5, 6, and 7 (2 QTLs) additively explaining ~66% of the phenotypic variation, with only small dominance effects. These QTLs were on the same linkage groups as previously reported, confirming their relevance for U.S. breeding germplasm. Functional QTL alleles were v assigned to each germplasm individual and traced to ancestral sources. Additive allele effects were determined using FlexQTL™ from the year with the most available phenotypic data. Relative genetic potential predicted by the eight QTLs was well correlated with phenotype and with reported and newly calculated genome-wide estimates of genetic potential. The three largest-effect QTLs, of linkage groups 4, 5, and 6, were together almost as effective, and might suit as targets for specific DNA test development QTL-based genetic potential predictions could support breeding decisions to develop new cultivars for desired harvest season windows
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