It is an enigma how long-term selection in model organisms and agricultural species can lead to marked phenotypic changes without exhausting genetic variation for the selected trait. Here, we show that the genetic architecture of an apparently major locus for growth in chicken dissects into a genetic network of four interacting loci. The interactions in this radial network mediate a considerably larger selection response than predicted by a single-locus model.

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We present an initialization procedure for the recursive least-squares (RLS) algorithm that has almost the same form as the RLS algorithm itself and which is exact in the sense that the so-initialized RLS estimate coincides with the batch LS estimate as soon as the latter exists.

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