Abstract

BIASUTTI, C.A  and  BALZARINI, M.B. Yield prediction in corn hybrids (Zea mays L.) in late sowing environments. BAG, J. basic appl. genet. [online]. 2017, vol.28, n.1, pp.19-26. ISSN 1852-6233.

Accurate prediction of the phenotypical performance of untested single-cross hybrids allows for a faster genetic progress of the breeding pool at a reduced cost. Yield data of maize hybrids were employed to predict the performance of new untested hybrids in late sowing environments. Different groups of predictor hybrids were formed using both data from high and low relatedness between predictors and predicted hybrids and by employing data from low and high yielding environments. A new group of hybrids were formed and evaluated in field trials to validate the predictions. The effectiveness of the predictions was investigated by means of the correlation coefficient between predicted and observed yield values. The best predictions of untested new hybrids were reached by using maximum relatedness information combined with data obtained in the best yielding environments.

Keywords : Maize; Relationship; Yield; BLUP.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )