Characterization of Some Fruit Quality Traits on Apple ‘Kaşel-41’ × ‘Williams Pride’ F1 Population

2021 ◽  
Author(s):  
Ümit Ürek ◽  
Salih Kafkas ◽  
Mozhgan Zarifikhosroshahi ◽  
Şerif Özongun ◽  
A. Nilgün Atay ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Quality Traits ◽  
Fruit Quality Traits

Physicochemical characterization of fruit quality traits in a German sour cherry collection

2014 ◽  
Vol 180 ◽  
pp. 24-31 ◽  
Author(s):  
Christine Grafe ◽  
Mirko Schuster
Keyword(s):  
Fruit Quality ◽  
Physicochemical Characterization ◽  
Sour Cherry ◽  
Quality Traits ◽  
Fruit Quality Traits

Characterization of induced mutants and their hybrids of tomato (Solanum lycopersicum L.) for growth, yield and fruit quality traits to explore the feasibility in future breeding

2019 ◽  
Vol 66 (7) ◽  
pp. 1421-1441 ◽  
Author(s):  
Ipsita Das ◽  
Pranab Hazra ◽  
Mrinalini Longjam ◽  
Tridip Bhattacharjee ◽  
Praveen Kumar Maurya ◽  
...  
Keyword(s):  
Solanum Lycopersicum ◽  
Fruit Quality ◽  
Growth Yield ◽  
Quality Traits ◽  
Solanum Lycopersicum L ◽  
Induced Mutants ◽  
Fruit Quality Traits

Characterization of fruit quality traits for organic acids content and profile in a large peach germplasm collection

2021 ◽  
Vol 278 ◽  
pp. 109865
Author(s):  
Irina Baccichet ◽  
Remo Chiozzotto ◽  
Daniele Bassi ◽  
Claudio Gardana ◽  
Marco Cirilli ◽  
...  
Keyword(s):  
Organic Acids ◽  
Fruit Quality ◽  
Germplasm Collection ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zena J. Rawandoozi ◽  
Timothy P. Hartmann ◽  
Silvia Carpenedo ◽  
Ksenija Gasic ◽  
Cassia da Silva Linge ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Quality Traits ◽  
Family Approach ◽  
Fruit Quality Traits ◽  
Identification And Characterization

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.

FRUIT QUALITY TRAITS OF STRAWBERRY GENOTYPES OF DIFFERENT PLOIDY

2014 ◽  
pp. 967-974
Author(s):  
M.L. Maltoni ◽  
D. Giovannini ◽  
W. Faedi
Keyword(s):  
Fruit Quality ◽  
Quality Traits ◽  
Fruit Quality Traits

Combined use of genetic and genomics resources to understand virus resistance and fruit quality traits in melon

2015 ◽  
Vol 155 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jason M. Argyris ◽  
Marta Pujol ◽  
Ana Montserrat Martín-Hernández ◽  
Jordi Garcia-Mas
Keyword(s):  
Fruit Quality ◽  
Virus Resistance ◽  
Quality Traits ◽  
Combined Use ◽  
Fruit Quality Traits

scholarly journals Genome-wide association studies provide insights into the genetic determination of fruit traits of pear

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ming-Yue Zhang ◽  
Cheng Xue ◽  
Hongju Hu ◽  
Jiaming Li ◽  
Yongsong Xue ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Molecular Breeding ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Quality Traits ◽  
Fruit Traits ◽  
Stone Cell ◽  
Genome Wide ◽  
Fruit Quality Traits

AbstractPear is a major fruit tree crop distributed worldwide, yet its breeding is a very time-consuming process. To facilitate molecular breeding and gene identification, here we have performed genome-wide association studies (GWAS) on eleven fruit traits. We identify 37 loci associated with eight fruit quality traits and five loci associated with three fruit phenological traits. Scans for selective sweeps indicate that traits including fruit stone cell content, organic acid and sugar contents might have been under continuous selection during breeding improvement. One candidate gene, PbrSTONE, identified in GWAS, has been functionally verified to be involved in the regulation of stone cell formation, one of the most important fruit quality traits in pear. Our study provides insights into the complex fruit related biology and identifies genes controlling important traits in pear through GWAS, which extends the genetic resources and basis for facilitating molecular breeding in perennial trees.

Sign in / Sign up

Export Citation Format

Share Document