High density SNP mapping and QTL analysis for fruit quality characteristics in peach (Prunus persica L.)

2012 ◽  
Vol 9 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Pedro J. Martínez-García ◽  
Dan E. Parfitt ◽  
Ebenezer A. Ogundiwin ◽  
Joseph Fass ◽  
Helen M. Chan ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Qtl Analysis ◽  
Prunus Persica ◽  
Quality Characteristics ◽  
High Density ◽  
Snp Mapping

scholarly journals High density SNP mapping and QTL analysis for time of leaf budburst in Corylus avellana L.

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195408 ◽  
Author(s):  
Daniela Torello Marinoni ◽  
Nadia Valentini ◽  
Ezio Portis ◽  
Alberto Acquadro ◽  
Chiara Beltramo ◽  
...  
Keyword(s):  
Qtl Analysis ◽  
Corylus Avellana ◽  
High Density ◽  
Snp Mapping ◽  
Corylus Avellana L

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

scholarly journals A Fruit Quality Survey of Peach Cultivars Grown in the Southeastern United States

2018 ◽  
Vol 28 (2) ◽  
pp. 189-201 ◽  
Author(s):  
Catherine Belisle ◽  
Uyen T.X. Phan ◽  
Koushik Adhikari ◽  
Dario J. Chavez
Keyword(s):  
United States ◽  
Fruit Quality ◽  
Skin Color ◽  
Significant Variation ◽  
Prunus Persica ◽  
Southeastern United States ◽  
Color Space ◽  
Quality Characteristics ◽  
Soluble Solids ◽  
Cultivar Differences

Peach (Prunus persica) production in the southeastern United States extends from mid-May to mid-September. There are ≈60 peach cultivars commercially grown. Each cultivar has unique fruit quality characteristics, which could influence consumer perception and likability. The present study is a survey of chemical and physical characteristics of mature, commercially grown, fresh peaches in Georgia. A collection of 30 cultivars was evaluated in 2015 and 2016 for soluble solids concentration (SSC), total titratable acidity (TTA), SSC/TTA ratio, texture (compression, puncture, and Kramer shear), and skin and flesh color (CIE L*, chroma, and hue color space values). There was significant variation between seasons for all variables (P < 0.05) except for TTA (P = 0.12), and flesh hue values (P = 0.38). Statistical differences among cultivars within each year were reported for all variables (P < 0.0001). SSC showed variation seasonally and among cultivars, whereas TTA variation was mainly attributed to cultivar differences. Similarly, cultivar-to-cultivar differences were found when comparing the different texture tests evaluated with cultivars such as Goldprince, Early August Prince, Flameprince, Majestic, and Red Globe having the most variation between seasons. Other cultivars analyzed had little variation between seasons. Moreover, firmness differences observed across the three texture tests were inconsistent. In peach skin color, significant variation was observed for L*, chroma, and hue among cultivars. Skin hue and chroma were highly correlated within each season (r = 0.77 for 2015, r = 0.72 for 2016). The results of this survey demonstrate the variation of quality characteristics for a large selection of peach cultivars grown in Georgia. The information reported in this paper will be used as a baseline for further examining and understanding peach fruit quality.

scholarly journals Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Pei Shi ◽  
Ze Xu ◽  
Shaoyu Zhang ◽  
Xianju Wang ◽  
Xiaofei Ma ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Genetic Map ◽  
Fruit Quality ◽  
Prunus Persica ◽  
Expression Profiles ◽  
Genetic Research ◽  
High Density ◽  
Genetic Maps ◽  
Eating Quality ◽  
Soluble Solid Content

Abstract Background High-density genetic mapping is a valuable tool for mapping loci that control specific traits for perennial fruit trees. Peach is an economically important fruit tree and a model Rosaceae species for genomic and genetic research. In peach, even though many molecular markers, genetic maps and QTL mappings have been reported, further research on the improvement of marker numbers, map densities, QTL accuracy and candidate gene identification is still warranted. Results A high-density single nucleotide polymorphism (SNP)-based peach linkage map was constructed using specific locus amplified fragment sequencing (SLAF-seq). This genetic map consisted of 7998 SLAF markers, spanning 1098.79 cM with an average distance of 0.17 cM between adjacent markers. A total of 40 QTLs and 885 annotated candidate genes were detected for 10 fruit-related traits, including fruit weight (FW), fruit diameter (FD), percentage of red skin colour (PSC), eating quality (EQ), fruit flavour (FV), red in flesh (RF), red around pit (RP), adherence to pit (AP), fruit development period (FDP) and fruit fibre content (FFC). Eighteen QTLs for soluble solid content (SSC) were identified along LGs 1, 4, 5, and 6 in 2015 and 2016, and 540 genes were annotated in QTL intervals. Thirty-two QTLs for fruit acidity content (FA) were detected on LG1, and 2, 4, 5, 6, and 1232 candidate genes were identified. The expression profiles of 2 candidate genes for SSC and 4 for FA were analysed in parents and their offspring. Conclusions We constructed a high-density genetic map in peach based on SLAF-seq, which may contribute to the identification of important agronomic trait loci. Ninety QTLs for 12 fruit-related traits were identified, most of which overlapped with previous reports, and some new QTLs were obtained. A large number of candidate genes for fruit-related traits were screened and identified. These results may improve our understanding of the genetic control of fruit quality traits and provide useful information in marker-assisted selection for fruit quality in peach breeding programmes.

scholarly journals High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Molla F. Mengist ◽  
Hamed Bostan ◽  
Elisheba Young ◽  
Kristine L. Kay ◽  
Nicholas Gillitt ◽  
...  
Keyword(s):  
Linkage Map ◽  
Fruit Quality ◽  
Titratable Acidity ◽  
Fruit Weight ◽  
High Density ◽  
Soluble Solids ◽  
Quality Traits ◽  
Total Soluble Solids ◽  
Fruit Quality Traits ◽  
High Density Linkage Map

AbstractFruit quality traits play a significant role in consumer preferences and consumption in blueberry (Vaccinium corymbosum L). The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry. A total of 287 F1 individuals derived from a cross between two southern highbush blueberry cultivars, ‘Reveille’ and ‘Arlen’, were phenotyped over three years (2016–2018) for fruit quality-related traits, including titratable acidity, pH, total soluble solids, and fruit weight. A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers. The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM. The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits, including seven loci for fruit weight, three loci for titratable acidity, five loci for pH, and three loci for total soluble solids. Ten of these loci were detected in more than one year. These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid, and 8–13% for pH. However, the loci identified for fruit weight did not explain more than 10% of the phenotypic variance. We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits. Organic acids, citric acid, and quinic acid were significantly (P < 0.05) and positively correlated with titratable acidity. Sugar molecules showed a strong and positive correlation with total soluble solids. Overall, the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.

scholarly journals The Effect of Weed Competition on Apple Fruit Quality

2017 ◽  
Vol 45 (1) ◽  
pp. 120-125 ◽  
Author(s):  
Ersin ATAY ◽  
Seckin GARGIN ◽  
Ahmet ESITKEN ◽  
N. Pinar GUZEL ◽  
A. Nilgun ATAY ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Fruit Weight ◽  
Apple Orchard ◽  
High Density ◽  
Soluble Solids ◽  
Limiting Factor ◽  
Weed Competition ◽  
Soluble Solids Content ◽  
Solids Content ◽  
Potassium Magnesium

Orchard performance is influenced by weed competition. In this study, the effects of weed competition on nutrient contents, chemical and physical fruit quality properties were sought. The study was carried out in a high-density apple orchard (‘Golden Delicious’/M.9) over two consecutive growing seasons. The effect of weed competition was studied at three different levels: weak, moderate and strong. Fruit firmness, soluble solids content, macronutrients (such as nitrogen, potassium and calcium) and potassium+magnesium/calcium ratio in fruit were significantly affected by weed competition. Strong weed competition negatively affected soluble solids content and potassium+magnesium/calcium ratio. In both trial years, soluble solids content was significantly higher in weak weed competition. In the first year of the study, soluble solids content ranged between 13.77±0.06% (strong weed competition) and 15.20±0.10% (weak weed competition). In the following year, soluble solids content values were determined as 13.13±0.23% in strong weed competition and 13.83±0.21% in weak weed competition. Weak weed competition showed superiority for fruit weight and potassium+magnesium/calcium ratio. As a whole, this study indicates that insufficient weed control in tree rows might be a limiting factor for fruit quality in high-density apple orchards.

Sign in / Sign up

Export Citation Format

Share Document