Effects of plug plants and bare-root plants on strawberry field performance, fruit quality traits and health-promoting compounds

2020 ◽  
Vol 10 (2) ◽  
pp. 145-156
Author(s):  
Carine Cocco ◽  
Walther Faedi ◽  
Sabina Magnani ◽  
Maria Luigia Maltoni ◽  
Fiorella Stagno ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Field Performance ◽  
Quality Traits ◽  
Fruit Quality Traits ◽  
Health Promoting ◽  
Bare Root

Variation in fruit quality traits and health promoting compounds of citrus fruits grown in semi-arid region

2020 ◽  
Vol 77 (4) ◽  
pp. 627-632
Author(s):  
Swarajya Laxmi Nayak ◽  
Shruti Sethi ◽  
R.R. Sharma ◽  
A.K. Dubey ◽  
Arpan Bhowmik
Keyword(s):  
Fruit Quality ◽  
Arid Region ◽  
Quality Traits ◽  
Citrus Fruits ◽  
Fruit Quality Traits ◽  
Health Promoting ◽  
Semi Arid Region ◽  
Semi Arid

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.

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.

Use of mutant platforms to discover novel postharvest fruit-quality traits inCucurbita pepo

2018 ◽  
pp. 367-374
Author(s):  
A. García ◽  
S. Manzano ◽  
Z. Megías ◽  
E. Aguado ◽  
C. Martínez ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals Tomato second cycle hybrids as a source of genetic variability for fruit quality traits

2016 ◽  
Vol 16 (4) ◽  
pp. 289-297 ◽  
Author(s):  
Pereira da Costa JH ◽  
Rodríguez GR ◽  
Liberatti DR ◽  
Mahuad SL ◽  
Marchionni Basté E ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Fruit Quality ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals Stability of fruit quality traits in diverse watermelon cultivars tested in multiple environments

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Mahendra Dia ◽  
Todd C Wehner ◽  
Penelope Perkins-Veazie ◽  
Richard Hassell ◽  
Daniel S Price ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Quality Traits ◽  
Fruit Quality Traits ◽  
Multiple Environments
Sign in / Sign up

Export Citation Format

Share Document