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The regression coefficient and metrics from the multivariable linear model (Lm) with variable selection based on Akaike’s information criterion (Lm-AIC) in the backward direction cross-validated between 2016 and 2022 to predict dry matter loss (DM loss) and the silages’ fermentative quality index (FQI) in accordance with maize’s pre-ensiled traits.

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https://figshare.com/articles/dataset/The_regression_coefficient_and_metrics_from_the_multivariable_linear_model_Lm_with_variable_selection_based_on_Akaike_s_information_criterion_Lm-AIC_in_the_backward_direction_cross-validated_between_2016_and_2022_to_predict_dry_matter_loss_/27056099
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The regression coefficient and metrics from the multivariable linear model (Lm) with variable selection based on Akaike’s information criterion (Lm-AIC) in the backward direction cross-validated between 2016 and 2022 to predict dry matter loss (DM loss) and the silages’ fermentative quality index (FQI) in accordance with maize’s pre-ensiled traits.
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2024-09-18
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