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Image Analysis of Grain and Chemical Composition of the Barley Plant as Predictors of Malting Quality in Mediterranean Environments

¹Departamento de Biologia Vegetal, Facultad de Ciencias, Universidad de Granada, 18001 Granada, Spain. ²Centre UDL-IRTA, Alcalde Rovira Roure 177.25198, Lleida, Spain. ³Servicio de Investigación Agraria de Castilla y León, Apartado 172, 47080 Valladolid, Spain. ⁴Corresponding author. Fax: +34 73 238301. Phone: +34 73 702574. E-mail: molina@lleida.irta.es

We have explored the possibility of predicting the malting quality of barley grain, indicated by malt extract yield, by characteristics measured either on plants at anthesis or in mature dry grain by image analysis. To produce barley samples with varying levels of all the characteristics studied, we used grain from an experiment designed to study the influence of lowinput husbandry practices on malting quality of barley by growing five malting genotypes at each of four environments (site × season) and with two different agronomic treatments (N fertilization and herbicide-mechanical roguing of weeds). The results showed that nitrogen content in the plant at anthesis was a good predictor of grain protein content, this characteristic in turn being positively correlated with embryo size and grain volume, as estimated by image analysis, and negatively correlated with nonstructural carbohydrate content in the plant at anthesis. Extract yield was positively correlated with Kolbach index (ratio of soluble to total wort protein) and negatively correlated with wort viscosity and barley grain protein content. Thus, the only practical predictor of malt extract was grain protein content.