Exploiting Genomics Resources to Identify Candidate Genes Underlying Antioxidants Content in Tomato Fruit-Reference-Cited by-同舟云学术

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Exploiting Genomics Resources to Identify Candidate Genes Underlying Antioxidants Content in Tomato Fruit

Published:2016-04-08 Issue: Volume:7 Page:
ISSN:1664-462X
Container-title:Frontiers in Plant Science
language:
Short-container-title:Front. Plant Sci.

Author:

Calafiore Roberta,Ruggieri Valentino,Raiola Assunta,Rigano Maria M.,Sacco Adriana,Hassan Mohamed I.,Frusciante Luigi,Barone Amalia

Funder

“Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR)”

Publisher

Frontiers Media SA

Subject

Plant Science

Reference62 articles.

1. Exploring genetic variation in the tomato (Solanum section Lycopersicon) clade by whole-genome sequencing.;Aflitos;Plant J.,2014

2. Resolution by recombination: breaking up Solanum pennellii introgressions.;Alseekh;Trends Plant Sci.,2013

3. Identification and mode of inheritance of quantitative trait loci for secondary metabolite abundance in tomato.;Alseekh;Plant Cell,2015

4. Translocation and the alternative D-galacturonate pathway contribute to increasing the ascorbate level in ripening tomato fruits together with the D-mannose/L-galactose pathway.;Badejo;J. Exp. Bot.,2012

5. Domestication and breeding of tomatoes: what have we gained and what can we gain in the future?;Bai;Ann. Bot.,2007

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1. Carotenoids: Dietary sources, health functions, biofortification, marketing trend and affecting factors – A review;Journal of Agriculture and Food Research;2023-12

2. Multitraits evaluation of a Solanum pennellii introgression tomato line challenged by combined abiotic stress;Plant Biology;2023-04-04

3. Genetic Manipulation of Crop for Enhanced Food Quality and Nutrition Toward Sustainable Production;Biomanufacturing for Sustainable Production of Biomolecules;2023

4. Contemporary genomic approaches in modern agriculture for improving tomato varieties;Bioinformatics in Agriculture;2022

5. Higher Yield and Fruit Quality of a Solanum pennellii Introgression Line;IECAG 2021;2021-05-11

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