02227naa a2200253 a 450000100080000000500110000800800410001902400540006010000230011424501340013726000090027130000160028049000450029652013370034165000120167865000350169065000250172565000100175065300200176070000190178070000220179970000190182177301330184021425772022-05-03       2022    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1007/978-1-0716-2205-6_202DOI1 aOLIVEIRA, I. C. M.  aGenomic prediction of complex traits in an allogamous annual cropbthe case of maize single-cross hybrids.h[electronic resource]  c2022  ap. 543-567.  a(Methods in Molecular Biology, v. 2467).  aFor many plant and animal species, commercial products are hybrids between individuals from different genetic groups. For allogamous plant species such as maize, the breeding objective is to produce singlecross hybrid varieties from two inbred lines each selected in complementary groups. Efficient hybrid breeding requires methods that (1) quickly generate homozygous and homogeneous parental lines with high combining abilities, (2) efficiently choose among the large number of available parental lines the most promising ones, and (3) predict the performances of sets of non-phenotyped single-cross hybrids, or hybrids phenotyped in a limited number of environments, based on their relationship with another set of hybrids with known performances. The maize breeding community has been developing model-based prediction of hybrid performances well before the genomic era. This chapter (1) provides a reminder of the maize breeding scheme before the genomic era; (2) describes how genomic data were incorporated in the prediction models involved in different steps of genomic-based single-cross maize hybrid breeding; and (3) reviews factors affecting the accuracy of genomic prediction, approaches for optimizing GP-based single-cross maize hybrid breeding schemes, and ensuring the long-term sustainability of genomic selection.  aHibrido  aMelhoramento Genético Vegetal  aMelhoramento Vegetal  aMilho  aHybrid breeding1 aBERNARDELI, A.1 aGUILHEN, J. H. S.1 aPASTINA, M. M.  tIn: AHMADI, N.; BARTHOLOME, J. (ed.). Genomic prediction of complex: traits methods and protocols. New York: Humana Press, 2022.