Literature DB >> 15094993

Analysis of genotypic variation in fruit flesh total sugar content via an ecophysiological model applied to peach.

B Quilot1, M Génard, J Kervella, F Lescourret.   

Abstract

A simulation model of the evolution of total sugar content ( C(TS)) in fruit was developed in order to describe the within- and between-genotype variation of C(TS) observed in a peach ( Prunus persica (L.) Batsch) breeding population. The parameter k defines the ratio of carbon used for synthesizing compounds other than sugars for each genotype. Model input variables are dry flesh growth rate and fresh flesh mass of fruit. We estimated k for 137 peach and nectarine genotypes derived from a clone of a wild peach ( Prunus davidiana) by three generations of crosses with commercial nectarine varieties. We tested the predictive quality of the model on independent datasets. Despite an underestimation of the observed C(TS), the correlation between observations and predictions was suitable (0.72). Spearman correlation coefficients between 2001 and 2002 for model input variables and parameter k were higher than for C(TS). None of the three components assimilation supply to the fruit, metabolism, or dilution, seemed to have a greater relative effect on C(TS) variation than the others. Indeed, C(TS) variation seemed to result from the balance between the three components. The interest of this approach, which consists of dissecting traits into components via an ecophysiological model, for breeding strategy and for sugar accumulation studies are discussed.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15094993     DOI: 10.1007/s00122-004-1651-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  12 in total

1.  Fluxes and metabolic pools as model traits for quantitative genetics. I. The L-shaped distribution of gene effects.

Authors:  B Bost; C Dillmann; D de Vienne
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

2.  The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley

Authors: 
Journal:  Heredity (Edinb)       Date:  1999-04       Impact factor: 3.821

3.  Virtual plants: modelling as a tool for the genomics of tolerance to water deficit.

Authors:  François Tardieu
Journal:  Trends Plant Sci       Date:  2003-01       Impact factor: 18.313

4.  The molecular basis of dominance.

Authors:  H Kacser; J A Burns
Journal:  Genetics       Date:  1981 Mar-Apr       Impact factor: 4.562

5.  Isolation and characterization of six peach cDNAs encoding key proteins in organic acid metabolism and solute accumulation: involvement in regulating peach fruit acidity.

Authors:  Christelle Etienne; Annick Moing; Elisabeth Dirlewanger; Philippe Raymond; René Monet; Christophe Rothan
Journal:  Physiol Plant       Date:  2002-02       Impact factor: 4.500

6.  The mechanism of assimilate partitioning and carbohydrate compartmentation in fruit in relation to the quality and yield of tomato.

Authors:  L C Ho
Journal:  J Exp Bot       Date:  1996-08       Impact factor: 6.992

7.  Changes in fruit sugar concentrations in response to assimilate supply, metabolism and dilution: a modeling approach applied to peach fruit (Prunus persica).

Authors:  M Génard; F Lescourret; L Gomez; R Habib
Journal:  Tree Physiol       Date:  2003-04       Impact factor: 4.196

8.  Construction of a linkage map and QTL analysis of horticultural traits for watermelon [Citrullus lanatus (THUNB.) MATSUM & NAKAI] using RAPD, RFLP and ISSR markers.

Authors:  T Hashizume; I Shimamoto; M Hirai
Journal:  Theor Appl Genet       Date:  2003-02-07       Impact factor: 5.699

9.  Advanced backcross QTL analysis in a cross between an elite processing line of tomato and its wild relative L. pimpinellifolium.

Authors:  S D Tanksley; S Grandillo; T M Fulton; D Zamir; Y Eshed; V Petiard; J Lopez; T Beck-Bunn
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon.

Authors:  J Xiao; J Li; S Grandillo; S N Ahn; L Yuan; S D Tanksley; S R McCouch
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

View more
  14 in total

1.  Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions.

Authors:  Nicolas Heslot; Deniz Akdemir; Mark E Sorrells; Jean-Luc Jannink
Journal:  Theor Appl Genet       Date:  2013-11-22       Impact factor: 5.699

2.  ETHY. A theory of fruit climacteric ethylene emission.

Authors:  Michel Génard; Barbara Gouble
Journal:  Plant Physiol       Date:  2005-09-02       Impact factor: 8.340

3.  Using a physiological framework for improving the detection of quantitative trait loci related to nitrogen nutrition in Medicago truncatula.

Authors:  Delphine Moreau; Judith Burstin; Grégoire Aubert; Thierry Huguet; Cécile Ben; Jean-Marie Prosperi; Christophe Salon; Nathalie Munier-Jolain
Journal:  Theor Appl Genet       Date:  2011-11-24       Impact factor: 5.699

4.  Exogenous application of urea and a urease inhibitor improves drought stress tolerance in maize (Zea mays L.).

Authors:  Wei Gou; Pufan Zheng; Li Tian; Mei Gao; Lixin Zhang; Nudrat Aisha Akram; Muhammad Ashraf
Journal:  J Plant Res       Date:  2017-03-21       Impact factor: 2.629

5.  A simplified conceptual model of carbon/nitrogen functioning for QTL analysis of winter wheat adaptation to nitrogen deficiency.

Authors:  A Laperche; F Devienne-Barret; O Maury; J Le Gouis; B Ney
Journal:  Theor Appl Genet       Date:  2006-08-15       Impact factor: 5.699

6.  Model-assisted comparison of sugar accumulation patterns in ten fleshy fruits highlights differences between herbaceous and woody species.

Authors:  Coffi Belmys Cakpo; Gilles Vercambre; Valentina Baldazzi; Léa Roch; Zhanwu Dai; Pierre Valsesia; Mohamed-Mahmoud Memah; Sophie Colombié; Annick Moing; Yves Gibon; Michel Génard
Journal:  Ann Bot       Date:  2020-08-13       Impact factor: 4.357

7.  Both additivity and epistasis control the genetic variation for fruit quality traits in tomato.

Authors:  Mathilde Causse; Jamila Chaïb; Laurent Lecomte; Michel Buret; Frédéric Hospital
Journal:  Theor Appl Genet       Date:  2007-06-15       Impact factor: 5.574

8.  Combining ecophysiological modelling and quantitative trait locus analysis to identify key elementary processes underlying tomato fruit sugar concentration.

Authors:  Marion Prudent; Alain Lecomte; Jean-Paul Bouchet; Nadia Bertin; Mathilde Causse; Michel Génard
Journal:  J Exp Bot       Date:  2010-10-29       Impact factor: 6.992

9.  Evaluation of antioxidant compounds and total sugar content in a nectarine [Prunus persica (L.) Batsch] progeny.

Authors:  Walid Abidi; Sergio Jiménez; María Ángeles Moreno; Yolanda Gogorcena
Journal:  Int J Mol Sci       Date:  2011-10-19       Impact factor: 5.923

10.  Profiling sugar metabolism during fruit development in a peach progeny with different fructose-to-glucose ratios.

Authors:  Elsa Desnoues; Yves Gibon; Valentina Baldazzi; Véronique Signoret; Michel Génard; Bénédicte Quilot-Turion
Journal:  BMC Plant Biol       Date:  2014-11-25       Impact factor: 4.215

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.