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Assessing genotype adaptability and stability in perennial forage breeding trials using random regression models for longitudinal dry matter yield data
Genotype selection in perennial forage species involves multiple assessments conducted repeatedly over time, across various seasons and years. Therefore, the evaluation of multiharvest forage breeding trials is time-consuming and expensive. In this context, proper statistical methods that accurately predict the true genotypic values are crucial (Smith and Spangenberg 2014).
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