Carrot production suffers yield losses under weed pressure, and thus improved competitive ability is a breeding priority. However, continued improvement and in-depth genetic studies for these traits relies on knowledge of the underlying genetic architecture. This study estimated heritable and non-heritable components of carrot shoot growth from a diallel mating design using a Bayesian mixed model. Results directly contribute to improvement efforts by ranking hybrids, identifying useful tester lines, and estimating the genetic and non-genetic influences on traits for improved competitive ability in carrot.
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