Table 1_Prediction of optimal slaughter age in four commercial pig genetic lines using GAM

A 14.5 KB dataset by Ana C. Herrera-Rios, last updated March 2026, presents results from modeling growth dynamics in commercial pigs. The study uses Generalized Additive Models (GAMs) and a composite desirability function to determine optimal slaughter weeks for four genetic lines and sexes, balancing biological and economic criteria.

Use Cases

• Optimizing slaughter timing based on modeled live weight, backfat thickness, and feed intake trajectories.
• Comparing growth patterns and peak ages across four commercial pig genetic lines (commercial, F1, ML1, ML2).
• Evaluating sex-specific differences in growth dynamics for tailored management decisions.
• Applying multi-criteria desirability functions to balance carcass quality and economic profitability in production planning.

Strengths

• Model results are differentiated by four distinct genetic lines and by sex.
• Analysis employs two defined optimization metrics: a biological optimum (tD) and an economic optimum (tP).
• Data is openly shared under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small at 14.5 KB, indicating limited scope, likely containing summary model outputs rather than raw observational data.

Provenance

Source

Ana C. Herrera-Rios via figshare.

Collection Method

Growth curves for live weight, backfat, and feed intake were fitted with Generalized Additive Models (GAMs) from an unspecified study.

Time Range

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Freshness

Last updated 2026-03 17 13:07:23.

Geography

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