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Figure 4: Prediction of hybrid performance.
We also used genomic prediction to predict hybrid performance.
We also predicted hybrid performance, by using genomic selection strategy that considers additive and dominance effects.
A season such as this provides an opportunity to evaluate hybrid performance under variable growing conditions.
After inspecting predicted hybrid performance of 167,910 single-cross combinations, we identified 159 pair of lines that have not been used so far for hybrid breeding but can exhibit high hybrid performance.
We also show the use of the genome sequence and resequencing information to make predictions of test-cross hybrid performance.
Ridge regression-BLUP, which takes additive and dominance effects into account, was used to predict hybrid performance.
On Sunday Culturemart even offers a free Hybrid Performance Brunch, aimed mainly at presenters but also open to the public.
In a sense, this really is a hybrid performance: it's about music, dance and the air that holds them together.
We use these resequencing data to establish marker trait associations for genomic selection, to define heterotic pools, and to predict hybrid performance.
The influence of growing conditions lead to location variability in hybrid performance in 2018 but overall better performance when compared to growing conditions experienced in 2017 (Figure 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com