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GrainGenes Reference Report: CRS-41-1085

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Reference
CRS-41-1085
Title
Selection for greater beta-glucan content in oat grain
Journal
Crop Science
Year
2001
Volume
41
Pages
1085-1091
Author
Cervantes-Martinez CT
Frey KJ
White PJ
Wesenberg DM
Holland JB
Abstract
Summary: Oat (Avena sativa L.) beta-glucan lowers serum cholesterol in humans. Development of oat cultivars with greater groat (caryopsis) beta-glucan content would increase the nutritional and economic value of the crop. The objectives of this experiment were to evaluate the response to phenotypic selection among individual S0 plants for greater groat beta-glucan content in two genetically broad-based populations; to compare selected experimental lines to standard check cultivars; and to estimate genetic variances and heritabilities and to test for nonadditive genetic variance for beta-glucan content. We measured groat beta-glucan contents of check cultivars and parental lines and random S(0:1) lines from initial and selected generations of each population grown in field experiments in 1996 and 1997 at two Iowa locations. Mean beta-glucan content increased from 53.9 to 59.9 g kg(-1) in one population, and from 63.5 to 66.0 g kg(-1) in the other, following selection. Genetic variance of beta-glucan content decreased by 9 to 22% following selection, but heritability for beta-glucan content did not change significantly. Heritability estimates ranged from 0.80 to 0.85 on a line mean basis. Additive variance was the only substantial component of genetic variance. Some experimental lines had significantly greater beta-glucan content than the best check cultivars and lines. Phenotypic selection for greater groat beta-glucan content will be effective for developing cultivars with elevated beta-glucan contents
External Databases
http://crop.scijournals.org/cgi/content/abstract/41/4/1085
Keyword
[ Hide all but 1 of 17 ]
avena
avena sativa
beta-glucan
beta-glucan content
bran
calcofluor
caryopsis
cereal grains
cholesterol
component
coronary heart disease
crop
cultivar
fiber
field
field experiment
generation

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