Prediction of nutrient digestibility and energy concentrations in fresh grass using nutrient composition

Journal of Dairy Science
Sokratis StergiadisT Yan

Abstract

Improved nutrient utilization efficiency is strongly related to enhanced economic performance and reduced environmental footprint of dairy farms. Pasture-based systems are widely used for dairy production in certain areas of the world, but prediction equations of fresh grass nutritive value (nutrient digestibility and energy concentrations) are limited. Equations to predict digestible energy (DE) and metabolizable energy (ME) used for grazing cattle have been either developed with cattle fed conserved forage and concentrate diets or sheep fed previously frozen grass, and the majority of them require measurements less commonly available to producers, such as nutrient digestibility. The aim of the present study was therefore to develop prediction equations more suitable to grazing cattle for nutrient digestibility and energy concentrations, which are routinely available at farm level by using grass nutrient contents as predictors. A study with 33 nonpregnant, nonlactating cows fed solely fresh-cut grass at maintenance energy level for 50 wk was carried out over 3 consecutive grazing seasons. Freshly harvested grass of 3 cuts (primary growth and first and second regrowth), 9 fertilizer input levels, and contrasting stage of maturi...Continue Reading

References

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Mar 16, 2005·New Zealand Veterinary Journal·G C Waghorn, D A Clark
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Sep 17, 2013·Journal of Dairy Science·H N PhuongP Schmidely

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Citations

Jan 15, 2019·Journal of Dairy Science·T W J OlchowyJ Alawneh
Feb 15, 2020·Asian-Australasian Journal of Animal Sciences·Chunmei WangNigel David Scollan
Mar 6, 2021·Journal of Dairy Science·Aart van der LindenImke J M de Boer
Apr 17, 2021·Translational Animal Science·Jorge Castro-Bedriñana, Doris Chirinos-Peinado

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