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 Water Deficit and Salinity Stress Reveal Many Specific QTL for Plant Growth and Fruit Quality Traits in Tomato

2018 ◽  
Vol 9 ◽  
Author(s):  
Isidore A. Diouf ◽  
Laurent Derivot ◽  
Frédérique Bitton ◽  
Laura Pascual ◽  
Mathilde Causse
Keyword(s):  
Plant Growth ◽  
Water Deficit ◽  
Salinity Stress ◽  
Fruit Quality ◽  
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

Genetic architecture of apple fruit quality traits following storage and implications for genetic improvement

2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Craig M. Hardner ◽  
Kate Evans ◽  
Chris Brien ◽  
Fred Bliss ◽  
Cameron Peace
Keyword(s):  
Fruit Quality ◽  
Genetic Improvement ◽  
Genetic Architecture ◽  
Apple Fruit ◽  
Quality Traits ◽  
Fruit Quality Traits

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

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

Analysis of phenotypic diversity of apricot (Prunus armeniaca L.) accessions from Jammu and Kashmir, India

2021 ◽  
pp. 1-13
Author(s):  
Showkat A. Zargar ◽  
Aijaz A. Wani ◽  
M. I. S. Saggoo
Keyword(s):  
Fruit Quality ◽  
Quantitative Traits ◽  
Fruit Weight ◽  
Kernel Weight ◽  
Prunus Armeniaca ◽  
Quality Traits ◽  
Jammu And Kashmir ◽  
Fruit Length ◽  
Upgma Dendrogram ◽  
Fruit Quality Traits

Abstract Apricot (Prunus armeniaca L.) is a world-wide highly appreciated fruit, with its attractive colour, soft texture and typical flavour. In the current investigation, 68 apricot accessions collected from Jammu and Kashmir, India were analysed to determine the measure of variation using 12 qualitative and 16 quantitative traits with an aim to identify superior apricot accessions with excellent fruit quality traits. High phenotypic variability was observed among the studied apricot accessions with significant differences among most of the qualitative and quantitative traits. Fruit-related characteristics including fruit weight, fruit length, fruit ratio, fruit firmness, fruit shape, fruit suture, stone weight, kernel weight and stone shape were the most diverse with a high coefficient of variation (>30%). One way analysis of variance showed significant differences (P < 0.0001) among all the quantitative traits. Significant positive and negative correlations were observed between all the agronomically important fruit quality traits. The principal component analysis (PCA) revealed that 75.34% of the variability was defined by the first eight components. The unweighted pair group method with arithmetic mean (UPGMA) dendrogram, based on all traits measured grouped the accessions into two main clusters with several sub-clusters. Both UPGMA dendrogram and PCA scatter plot formed a cluster of 14 accessions, having the highest values regarding most important fruit quality traits such as fruit weight, fruit length and width, fruit ratio, stone weight and kernel weight can be treated as potentially superior accessions. These accessions can be used directly for cultivation and in future apricot breeding programmes. The present findings are promising for genetic resource management, cultivar improvement and commercial applications of apricot in Jammu and Kashmir, India.

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.

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