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Forskningsartikel - Refereegranskat, 2004

The use of environmentally stable grain characteristics for selection of high extract yield and low beta-glucan in malting barley

Bertholdsson, NO

Sammanfattning

The genotype x environmental interaction and other stability parameters of various easily observed grain characteristics were studied in relation to extract yield and P-glucan (GLU). Twelve spring barley cultivars with a broad variation in malting quality and grain traits were tested in soil-beds during 3 years in five managed-environments consisting of three nitrogen regimes and one pre- and one post-anthesis water stress period. Randomised drip-irrigated 22 cm spaced hill-plots with 12 plants per plot and eight replicates were used. At sowing, a stationary rain shelter was placed over one bed to establish pre-anthesis drought stress. and moved at anthesis to another bed for post-anthesis stress. At maturity the plots were harvested and analysed for grain and malt characteristics including extract yield, GLU in vort, four-grain fractions and image analyses of grain shapes. Genotypic variance components and linear regression over environment means or mean square deviation from regression were used as measures of homeostatic and dynamic stability, respectively. Among the traits with high homeostatic stability was grain length, milling energy, grain fractions 2.5 and GLUs. Among the traits with dynamic stability was grain width, grain area, grain protein and extract yield. Traits with both high stability and high correlation with extract yield were grain protein, milling energy and fraction 2.5. By combining these in a multivariate model it was possible to predict extract yield of 16 other cultivars; grown in a normal field trial with a standard error of prediction of 0.3% and a correlation of predicted and observed values of 0.926. Other models for prediction of extract yield and GLU are discussed. (C) 2003 Elsevier B.V. All rights reserved

Nyckelord

GE interaction; malting quality; multivariate models; image analys

Publicerad i

European Journal of Agronomy
2004, Volym: 20, nummer: 3, sidor: 237-245
Utgivare: ELSEVIER SCIENCE BV

    UKÄ forskningsämne

    Agricultural Science

    Publikationens identifierare

    DOI: https://doi.org/10.1016/S1161-0301(03)00019-4

    Permanent länk till denna sida (URI)

    https://res.slu.se/id/publ/17452