Piptocoma Discolor In Vitro Gas Production and Degradation Metrics

53 mL of cumulative gas production (CGP) data measures the fermentation of Piptocoma discolor forage for ruminant nutrition research. The dataset includes metrics for incubated dry matter (IDM), degraded organic matter (DOM), and dry matter degradation (DMD) with associated mean square error (MSE). It originates from a study in the Colombian Amazon Piedmont, authored by Faver Álvarez.

Use Cases

• Model the relationship between incubated dry matter (IDM) and cumulative gas production (CGP) to predict fermentation kinetics.
• Compare dry matter degradation (DMD) and degraded organic matter (DOM) values between forage samples from alluvial plain and hill landscapes.
• Use the mean square error (MSE) values to assess the precision of gas production and degradation measurements.
• Analyze the 53 mL CGP measurement as a key indicator of forage digestibility for ruminant feed formulation.

Strengths

• Includes specific fermentation metrics: cumulative gas production (CGP), incubated dry matter (IDM), dry matter degradation (DMD), and degraded organic matter (DOM).
• Provides mean square error (MSE) values for assessing measurement precision.
• Data is explicitly linked to forage samples from the Colombian Amazon Piedmont region.
• Released under a permissive CC BY 4.0 license for reuse.

Limitations

• Very small dataset at only 5.5 KB, indicating extremely limited sample size.
• No row or column count is provided, obscuring the dataset's full structure and scope.
• Sample data and specific column definitions are unavailable, complicating immediate analysis.

Provenance

Source

figshare, authored by Faver Álvarez.

Collection Method

In vitro laboratory measurements of forage fermentation.

Freshness

Last updated March 2026.

Geography

Colombian Amazon Piedmont (alluvial plain and hill landscapes).