Evaluation of the Equations to Predict Net Energy Requirement for Lactation in the Cattle Feeding System: Based on the Literature Database

Seoyoung Jeon, Hamin Kang, Seongmin Park and Seongwon Seo
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Seoyoung Jeon: Division of Animal & Dairy Sciences, Chungnam National University, Daejeon 34134, Korea
Hamin Kang: Division of Animal & Dairy Sciences, Chungnam National University, Daejeon 34134, Korea
Seongmin Park: Dairy Science Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea
Seongwon Seo: Division of Animal & Dairy Sciences, Chungnam National University, Daejeon 34134, Korea

Agriculture, 2022, vol. 12, issue 5, 1-12

Abstract: The net energy requirement for lactation (NEL) equals the milk energy, which is the sum of the energy content from the energy-yielding nutrients in milk. The specific nutrients and their calories, however, vary depending on the feeding system. The objective of this study was to evaluate NEL prediction equations used in cattle feeding systems. A total of 11 equations from 6 feeding systems were assessed. For evaluation, a database was constructed based on the literature, and data for three nutrients (lactose, fat, and protein) were used to evaluate the equations. The equations were classified into three tiers based on the variables: Tier 1 (all three nutrients), Tier 2 (fat and protein), and Tier 3 (fat). NEL predicted by the equations were comparatively evaluated based on a reference value computed using Tyrrell and Reid’s equation. All equations showed high predictivity (in order, Tier 1, 2, and 3). Tier 1 equations showed a nearly perfect fit; however, for accurately predicting NEL, at least Tier 2 equations are recommended. The predictivity of theoretically derived equations was as high, or higher, as the predictivity of empirical equations. Thus, empirical development of an accurate equation to predict NEL, which requires a large amount of data, can be avoided.

Keywords: dairy cow; lactating; net energy; milk energy (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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