2009
DOI: 10.20870/oeno-one.2009.43.1.807
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Analyzing the functional association among seed traits, berry growth and chemical composition in Cabernet-Sauvignon berry (<em>Vitis vinifera</em> L.) using a mathematical growth function

Abstract: <p style="text-align: justify;"><strong>Aims</strong>: This study aimed at assessing the functional linkage among seed traits (including seed number, seed weight), berry growth and berry sugar and acid concentration by adapting a mathematical growth function with parameters having biological importance.</p><p style="text-align: justify;"><strong>Methods and results</strong>: The evolution of berry diameter of Cabernet- Sauvignon was satisfactorily fitted to a bi-phasic… Show more

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Cited by 5 publications
(1 citation statement)
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“…Price et al (2008) have developed а two-component mixture model based on normal distribution functions. Dai et al (2009) applied а combination of monomolecular and logistic functions to analyse the dependencies between the function parameters and berry quality features. In a study on dry matter growth, García de Cortázar-Atauri et al (2009) proposed a classical double logistic model based on thermal time (Growing Degree Days) and dry mass with two complementary dynamics: exponential and logistic growth.…”
Section: Introductionmentioning
confidence: 99%
“…Price et al (2008) have developed а two-component mixture model based on normal distribution functions. Dai et al (2009) applied а combination of monomolecular and logistic functions to analyse the dependencies between the function parameters and berry quality features. In a study on dry matter growth, García de Cortázar-Atauri et al (2009) proposed a classical double logistic model based on thermal time (Growing Degree Days) and dry mass with two complementary dynamics: exponential and logistic growth.…”
Section: Introductionmentioning
confidence: 99%