Genomic selection in maize population improvement for water logging tolerance
2014
Paril, J.F. | Sanchez, M.A.B. | Salazar, A.M.
Genomic selection (GS) or genome-wide selection is a breeding method where individuals are selected based on their genomic-estimated breeding values (GERV), which are computed using genome-wide marker data from the phenotype and marker data of a related population. It is a predictive, brute-force, and black-box approach that can substantially increase the rate of genetic gain per unit time and cost in animal and plant breeding (Bernardo and Yu, 2007 and Meuwissen et al, 2001). This study aims to determine the efficiency and feasibility of genomic selection in improving a quantitative trait, i.e. water logging tolerance, in two maize populations (IPB VAR 8 - white QPM and IPB VAR13 - yellow). A total of 530 S1 families (400 IPB VAR 13 and 130 IPB VAR 8) were subjected to manage waterlogging stresses as V2 stage (through cup screening method adapted from Zaidi et al, 2007) and at V7 stage (through a field trial). Results of the cup screening method show high growth variability among S1 families in both populations. Preliminary results of the managed waterlogging trial show that in terms of stand count, plant height and leaf chlorophyll content, the normal moisture treatment exhibited higher values than the waterlogged treatment. Leaf samples were sent to CIMMYT, India for DNA extraction and genotyping-by-sequencing (GBS) to generate the genome-wide single nucleotide polymorphism (SNP) data.
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