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  1. AU="Cheng, Canhong H"
  2. AU="Sakharkar, Amul"
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  1. Article ; Online: Implementation of different relationship estimate methodologies in breeding value prediction in kiwiberry (

    Mertten, Daniel / Baldwin, Samantha / Cheng, Canhong H / McCallum, John / Thomson, Susan / Ashton, David T / McKenzie, Catherine M / Lenhard, Michael / Datson, Paul M

    Molecular breeding : new strategies in plant improvement

    2023  Volume 43, Issue 10, Page(s) 75

    Abstract: In dioecious crops such as : Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01419-8. ...

    Abstract In dioecious crops such as
    Supplementary information: The online version contains supplementary material available at 10.1007/s11032-023-01419-8.
    Language English
    Publishing date 2023-10-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1230924-2
    ISSN 1572-9788 ; 1380-3743
    ISSN (online) 1572-9788
    ISSN 1380-3743
    DOI 10.1007/s11032-023-01419-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Identifying volatile compounds associated with sensory and fruit attributes in diploid Actinidia chinensis (kiwifruit) using multivariate analysis

    Cheng, Canhong H / Seal, Alan G / MacRae, Elspeth A / Wang, Mindy Y

    Euphytica. 2011 Sept., v. 181, no. 2

    2011  

    Abstract: While the roles of sugars and acids in fruit flavour are well known and described, the roles of volatile compounds that contribute to flavour and odour are more difficult to define. The determination of volatiles that make a significant contribution to ... ...

    Abstract While the roles of sugars and acids in fruit flavour are well known and described, the roles of volatile compounds that contribute to flavour and odour are more difficult to define. The determination of volatiles that make a significant contribution to the flavour of kiwifruit (Actinidia chinensis) is essential for efficient and cost effective flavour breeding. The aims of this study were to explore associations between volatile compounds, sensory and fruit attributes of A. chinensis fruit and to identify potential key flavour impact volatiles, superior parents and selection methods, using multivariate analysis. We investigated the volatiles produced by ripe fruit of 24 genotypes selected by principal component analysis (PCA) to represent the diversity of taste and fruit characteristics in a breeding population. Seventy-two volatiles were detected. Extended use of multivariate analysis proved powerful for gaining maximum information from the limited plant material. The volatiles were successfully grouped into four clusters, using hierarchical clustering of variables based on phenotypic correlations between volatiles to avoid a singular correlation matrix in PCA. Based on these clusters, associations between volatiles, sensory and fruit attributes were explored using PCA and multiple linear regressions. Principal components provided a measure of the balance of complex volatiles that is likely to affect consumer responses. Thirteen potential key impact volatiles that made a substantial contribution to the flavour of A. chinensis fruit were identified. Five esters were strongly associated with the flavours and odours characteristic of ‘Hort16A’. Volatiles associated with ‘sour taste’, ‘fruit ripeness’, ‘atypical ‘Hort16A’-like odour’ and ‘atypical kiwifruit flavour’ were also recognized. Parents with potentially desirable volatile profiles and a possible selection method for flavour breeding were identified.
    Keywords Actinidia chinensis ; diploidy ; esters ; flavor ; fruits ; genotype ; kiwifruit ; linear models ; multivariate analysis ; odors ; parents ; phenotypic correlation ; principal component analysis ; selection methods ; sugar acids ; taste ; volatile compounds
    Language English
    Dates of publication 2011-09
    Size p. 179-195.
    Publishing place Springer-Verlag
    Document type Article
    ZDB-ID 216568-5
    ISSN 0014-2336
    ISSN 0014-2336
    DOI 10.1007/s10681-011-0392-3
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 905: Show issues

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