scholarly journals Association Mapping Analysis for Fruit Quality Traits in Prunus persica Using SNP Markers

2019 ◽  
Vol 9 ◽  
Author(s):  
Carolina Font i Forcada ◽  
Verónica Guajardo ◽  
Sebastian Reyes Chin-Wo ◽  
María Ángeles Moreno
Keyword(s):  
Association Mapping ◽  
Fruit Quality ◽  
Prunus Persica ◽  
Snp Markers ◽  
Quality Traits ◽  
Fruit Quality Traits ◽  
Mapping Analysis

QTL ANALYSIS OF FRUIT QUALITY TRAITS IN PEACH [PRUNUS PERSICA (L.) BATSCH] USING DENSE SNP MAPS

2015 ◽  
pp. 703-710 ◽  
Author(s):  
J.L. Zeballos ◽  
W. Abidi ◽  
R. Giménez ◽  
A.J. Monforte ◽  
M.A. Moreno ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Qtl Analysis ◽  
Prunus Persica ◽  
Quality Traits ◽  
Fruit Quality Traits

Phenotypic diversity and association mapping for fruit quality traits in cultivated tomato and related species

2012 ◽  
Vol 126 (3) ◽  
pp. 567-581 ◽  
Author(s):  
Jiaxin Xu ◽  
Nicolas Ranc ◽  
Stéphane Muños ◽  
Sophie Rolland ◽  
Jean-Paul Bouchet ◽  
...  
Keyword(s):  
Association Mapping ◽  
Fruit Quality ◽  
Related Species ◽  
Phenotypic Diversity ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits

2016 ◽  
Vol 67 (22) ◽  
pp. 6413-6430 ◽  
Author(s):  
Elise Albert ◽  
Vincent Segura ◽  
Justine Gricourt ◽  
Julien Bonnefoi ◽  
Laurent Derivot ◽  
...  
Keyword(s):  
Association Mapping ◽  
Water Deficit ◽  
Fruit Quality ◽  
Genetic Architecture ◽  
Quality Traits ◽  
Fruit Quality Traits ◽  
Response To Water

scholarly journals Heritability, Correlation, and Genotype by Environment Interaction of Phenological and Fruit Quality Traits in Peach

2021 ◽  
Vol 146 (1) ◽  
pp. 56-67
Author(s):  
Zena Rawandoozi ◽  
Timothy Hartmann ◽  
David Byrne ◽  
Silvia Carpenedo
Keyword(s):  
Fruit Quality ◽  
Prunus Persica ◽  
Major Gene ◽  
Genotype By Environment Interaction ◽  
Soluble Solids ◽  
Environment Interaction ◽  
Quality Traits ◽  
Narrow Sense Heritability ◽  
Genotype By Environment ◽  
Fruit Quality Traits

Ten phenological and fruit quality traits were evaluated in seedlings from nine F1 low to medium chill full-sib peach (Prunus persica) families and their parents over 2 years at two locations (Fowler, CA, and College Station, TX) to estimate variance components, genotype by environment interaction (G×E), and phenotypic correlations using restricted maximum likelihood mixed and multivariate models. The removal of nectarine [P. persica var. nucipersica (fruit without fuzz)] and pantao (flat shape fruit) seedlings from the analysis decreased the heritability for the fruit size, blush, tip, and soluble solids concentration (SSC), indicating the importance of taking the effects of the major gene of nectarine/pantao into account when assessing the heritability of traits. A strong correlation coefficient (r = 0.92) found between ripe date (RD) and fruit development period (FDP) and between fruit weight (FW) and fruit diameter (FD), indicates that either measure is equally effective, although the negative correlation between bloom date (BD) and FDP (r = −0.46) implies earlier blooming during cool temperatures tends to extend FDP. FW, FD, blush, and SSC had moderately weak correlations with RD (r = 0.56, 0.53, −0.41, and 0.48) and FDP (r = 0.57, 0.56, −0.50, and 0.39, respectively), which could be explained either by the presence of a strong link between quantitative trait loci of these traits and the ripening date locus or the pleiotropic effect of ripening date on many quantitative fruit characters. The traits RD, FDP, and titratable acidity (TA) had the highest broad-sense heritability (H2) and lowest G×E. FW, tip, and shape showed the lowest H2, the highest of G×E variance to the genetic F (G×E variance/total genotypic variance), and high G×E, whereas the other traits showed moderate G×E. For the traits that had a higher G×E interaction, selection for or against these traits should be done at the production location. A moderate narrow-sense heritability (h2) was estimated for BD, blush, fruit tip, and shape. FW and FD showed low to moderate h2 while H2 was high, whereas RD, FDP, SSC, and TA showed low h2 and high H2 estimates, indicating important nonadditive effects for these traits.

scholarly journals Mapping QTLs associated with fruit quality traits in peach [Prunus persica (L.) Batsch] using SNP maps

2016 ◽  
Vol 12 (3) ◽  
Author(s):  
José Luis Zeballos ◽  
Walid Abidi ◽  
Rosa Giménez ◽  
Antonio J. Monforte ◽  
María Ángeles Moreno ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Prunus Persica ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals Identification and characterization of QTLs for blush, soluble solids concentration (SSC), and titratable acidity (TA) in peach through a multi-family approach

2020 ◽  
Author(s):  
Zena Rawandoozi ◽  
Timothy P Hartmann ◽  
Silvia Carpenedo ◽  
Ksenija Gasic ◽  
Cassia da Silva Linge ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Prunus Persica ◽  
Soluble Solids ◽  
Phenotypic Variance ◽  
Quality Traits ◽  
Phenotypic Data ◽  
Family Approach ◽  
Wide Range ◽  
Fruit Quality Traits ◽  
Major Qtl

Abstract Background: Fruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for industry to improve fruit quality and increase consumption. A Bayesian approach embedded in the FlexQTL software increases the accuracy of QTL mapping and the probability of identifying new and validating known QTLs across a wide range of genetic backgrounds.Results: Phenotypic data of seven F1 low to medium chill full-sib families were collected over two years at two locations and genotyped using the 9K SNP Illumina array. One major QTL for fruit blush was found on linkage group 4 (LG4) at 40–46 cM that explained from 20 to 32% of the total phenotypic variance and showed three QTL alleles of different effects. For SSC, one QTL was mapped on LG5 at 60-72cM and explained from 17 to 39% of the phenotypic variance. A major QTL for TA that co-localized with the major locus for low-acid fruit (D-locus) was mapped at the proximal end of LG5 and explained 35 to 80% of the phenotypic variance. The new QTL for TA on the distal end of LG5 explained 14 to 22% of the phenotypic variance. This QTL co-localized with the QTL for SSC and affected TA only when the first QTL is homozygous for high acidity (epistasis). Haplotype analyses revealed SNP haplotypes and predictive SNP marker(s) associated with desired QTL alleles.Conclusions: A multi-family-based QTL discovery approach enhanced the ability to discover a new TA QTL and validated other QTLs which were reported in previous studies. Identified predictive SNPs and their original sources will facilitate the selection of parents and/or seedlings that have desired haplotype alleles. Our findings will help peach breeders develop new predictive, DNA-based molecular marker tests for routine use in marker-assisted breeding (MAB).

scholarly journals Phenotypic diversity and relationships of fruit quality traits in peach and nectarine [Prunus persica (L.) Batsch] breeding progenies

Euphytica ◽  
2009 ◽  
Vol 171 (2) ◽  
pp. 211-226 ◽  
Author(s):  
Celia M. Cantín ◽  
Yolanda Gogorcena ◽  
María Ángeles Moreno
Keyword(s):  
Fruit Quality ◽  
Prunus Persica ◽  
Phenotypic Diversity ◽  
Quality Traits ◽  
Fruit Quality Traits

Genome-wide association-mapping for fruit quality traits in tomato

Euphytica ◽  
2015 ◽  
Vol 207 (2) ◽  
pp. 439-451 ◽  
Author(s):  
Jing Zhang ◽  
Jiantao Zhao ◽  
Yan Liang ◽  
Zhirong Zou
Keyword(s):  
Association Mapping ◽  
Fruit Quality ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Genome Wide ◽  
Fruit Quality Traits
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