Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models
Abstract Joint modeling of correlated multienvironment and multiharvest data of perennial crop species may offer advantages in prediction schemes and a better understanding of the underlying dynamics in space and time. The goal of the present study was to investigate the relevance of incorporating t...
Main Authors: | Elesandro Bornhofen, Dario Fè, Ingo Lenk, Morten Greve, Thomas Didion, Christian Sig Jensen, Torben Asp, Luc Janss |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-12-01
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Series: | The Plant Genome |
Online Access: | https://doi.org/10.1002/tpg2.20255 |
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