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通过应用于桃的生态生理模型分析果肉总糖含量的基因型变异。

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

作者信息

Quilot B, Génard M, Kervella J, Lescourret F

机构信息

Institut National de la Recherche Agronomique (INRA), Plantes et Systèmes de Culture Horticoles, Domaine St Paul, Site Agroparc, 84914 Avignon Cedex 9, France.

出版信息

Theor Appl Genet. 2004 Jul;109(2):440-9. doi: 10.1007/s00122-004-1651-7. Epub 2004 Apr 17.

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.

摘要

为了描述在桃(Prunus persica (L.) Batsch)育种群体中观察到的果实总糖含量(C(TS))的基因型内和基因型间变异,开发了一个果实总糖含量演变的模拟模型。参数k定义了每种基因型用于合成非糖类化合物的碳的比例。模型输入变量是果肉干重生长速率和果实鲜重。我们通过与商业油桃品种进行三代杂交,估计了137个源自野生桃(Prunus davidiana)一个克隆的桃和油桃基因型的k值。我们在独立数据集上测试了模型的预测质量。尽管对观察到的C(TS)有低估,但观察值与预测值之间的相关性是合适的(0.72)。2001年和2002年模型输入变量与参数k之间的斯皮尔曼相关系数高于C(TS)。果实的同化供应、代谢或稀释这三个组成部分中,似乎没有一个对C(TS)变异的相对影响比其他部分更大。事实上,C(TS)变异似乎是由这三个组成部分之间的平衡导致的。本文讨论了这种通过生态生理模型将性状分解为组成部分的方法在育种策略和糖分积累研究中的意义。

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