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selection for Groat‐Oil Content in Oat Grown in Field and Greenhouse
Author(s) -
Schipper H.,
Frey K. J.
Publication year - 1991
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1991.0011183x003100030023x
Subject(s) - avena , greenhouse , selection (genetic algorithm) , biology , poaceae , agronomy , horticulture , computer science , artificial intelligence
Selection for quantitative traits of oat ( Avena sativa L.) usually is based on field experiments. The objective of this study was to determine whether a greenhouse could be utilized to select for greater groat‐oil content in oat. Forty‐eight oat lines from the C 0 to C 3 of a recurrent selection program to increase groat‐oil content were evaluated in the field and greenhouse in 1987 and 1988. Groat‐oil contents of large and small samples of oat groats were determined for each entry in each environment except for small samples from the greenhouse in 1987. The genetic correlation between groat‐oil contents of field‐ and greenhouse‐grown plants was 0.87, and between groat‐oil contents of large and small samples 1.14. Estimates of heritabilities, variances, and genetic correlations were used to compute the predicted genetic gains, expressed under field conditions, from one cycle of each of three recurrent selection regimes. A regime that utilized selection among S 0 plants in the field followed by selection among and within selected S 0:1 progenies in the greenhouse gave annual predicted gains in groat‐oil content that were 38 and 186% greater than predicted gains from phenotypic recurrent selection regimes with selection among field‐ and greenhouse‐grown S 0 plants, respectively. Thus, selection for groat‐oil content in oat on the basis of data from the greenhouse can be successfully incorporated into a recurrent selection program.