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Evaluation of Theory for Identifying Populations for Genetic Improvement of Maize Hybrids

RR 2, Box 134, Le Sueur, MN 56058
USDA-ARS, Dep. of Agronomy, Iowa State Univ., Ames, IA 50011

^* Corresponding author.

The ability to identify populations with the greatest chance for breeding success may increase the use of unadapted populations by concentration of resources on favorable germplasm. This study was conducted to evaluate the effectiveness of a method (estimates of
')for identifying maize (Zea mays L.) populations with the greatest number of dominant alleles at loci that are homozygous recessive in a single cross. This study also evaluates the effectiveness of a relationship estimator for detecting similarities between a population and the inbreds of a single cross. Estimates of
and the relationship estimator were calculated by using donor populations of known composition and relationship to the recipient single cross. Six recipient single crosses were formed from the diallel cross of maize inbreds B73, B79, B77, and Mo17o Donor populations were composed of various proportions of inbreds B79 and B77. Estimates of
correctly identified the population expected to have the largest number of unique dominant alleles in three of five single crosses (60%) for grain yield. for ear height,
correctly identified the population expected to have the largest number of unique dominant alleles in four or five single crosses (80%). Estimates of
did not identify populations expected to contain dominant alleles for earlier silking, suggesting that additive gene action or epistasis were important for siiking date. The relationship estimator for yield correctly identified the known relationship between the populations and the inbred parents of the single crosses. The successful application of
to exotic populations is uncertain because of a low frequency of favorable dominant alleles contained by exotics for important economic traits.

Received for publication June 27, 1991.

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