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Master Thesis

Détermination d'un indice de sélection brassicole sur l'orge six rangs d'hiver et mise en place de tests prédictifs précoces de la qualité brassicole

Abstract : This study focused on the prediction of malting variables quality through the study of a database from many micromaltings. Two predictive equations were found. A robust predictive equation of free aminoacids (FAN) from the soluble proteins (R²=0,92) and a predictive equation of beta-glucans from viscosity and friability (R²=0,83). An analysis of early predictive tests that could be used in breeding has shown that Bishop’s equation cannot be used in our database to predict malt extract. But indirect tests from a Rapid Visco Analyser (RVA), Near InfraRed Spectroscopy (NIRS) or with Hagberg falling index could help to make predictions of brewing parameters. But the study of a database by linear regression failed to show a robust equation of prediction of some brewing parameters from the RVA, an adaptation on measures would be necessary to lead to a prediction of malting quality. We have also shown that the most important brewing variables in barley breeding are: extract, friability, viscosity, diastasic power and FAN. This allowed us to create a selection index for six-row winter malting barley varieties, from evaluating of varieties of our database by a barley breeder, eliminatory threshold of varieties and a grading for each agronomic and brewing variable.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01093095
Contributor : Agrocampus Ouest <>
Submitted on : Wednesday, December 10, 2014 - 10:47:30 AM
Last modification on : Monday, July 6, 2020 - 3:38:21 PM
Long-term archiving on: : Wednesday, March 11, 2015 - 10:30:57 AM

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  • HAL Id : dumas-01093095, version 1

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Victor Etevenot. Détermination d'un indice de sélection brassicole sur l'orge six rangs d'hiver et mise en place de tests prédictifs précoces de la qualité brassicole. Sciences agricoles. 2014. ⟨dumas-01093095⟩

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