Changes in the volatile profile of four cultivars of quince (Cydonia oblonga) produced by codling moth (Cydia pomonella) infestation-Reference-Cited by-同舟云学术

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Changes in the volatile profile of four cultivars of quince (Cydonia oblonga) produced by codling moth (Cydia pomonella) infestation

Published:2022-06 Issue: Volume:49 Page:187-191
ISSN:1874-3900
Container-title:Phytochemistry Letters
language:en
Short-container-title:Phytochemistry Letters

Author:

López María Liza,Gómez María Pía,Díaz Ariel,Jofré Barud Flavia,Camina Julia Laura,Dambolena José Sebastián

Funder

Fondo para la Investigación Científica y Tecnológica

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Biochemistry,Biotechnology

Reference31 articles.

1. Comparation among marmalades produced from different fruit quince species (Cydonia oblonga Miller and Chaenomeles sinensis Koehne) and cultivars;Alvarenga;Ciênc. Agrotecnol.,2008

2. Antennal and behavioural response of codling moth Cydia pomonella to plant volatiles;Ansebo;J. Appl. Entomol.,2004

3. Pest management challenges and control practices in codling moth: a review;Balaško;Insects,2020

4. Volatile signaling in plant-plant interactions: “talking trees” in the genomics era;Baldwin;Science,2006

5. Tortricids in pome and stone fruits, codling moth occurrence, host race formation and damage;Barnes,1991

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Free and glycosidically bound volatile compounds in quince (Cydonia oblonga Mill) from Kashmir, India;Food Chemistry Advances;2024-06

2. Perceptual Effects of Walnut Volatiles on the Codling Moth;Insects;2024-05-30

3. A comprehensive review on phytochemistry, pharmacology, preclinical, and clinical trials of Cydonia oblonga;Phytochemistry Reviews;2024-03-29

4. Influence of Some Fruit Traits on Codling Moth (Cydia pomonella L.) Preference among Apple Varieties in Two Contrasted Climatic Conditions;Horticulturae;2023-07-11

5. Distinguishing Seed Cultivars of Quince (Cydonia oblonga Mill.) Using Models Based on Image Textures Built Using Traditional Machine Learning Algorithms;Agriculture;2023-06-26

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