Literature DB >> 21605779

The effect of high-sugar grass on predicted nitrogen excretion and milk yield simulated using a dynamic model.

J L Ellis1, J Dijkstra, A Bannink, A J Parsons, S Rasmussen, G R Edwards, E Kebreab, J France.   

Abstract

High-sugar grass varieties have received considerable attention for their potential to reduce nitrogen (N) excretion and increase milk yield in cattle. However, considerable variation exists in the magnitude of response in published results. The purpose of this study is to explain the variation in response using a dynamic mechanistic model to predict observed N and milk yield results from the literature, and from simulated data. Examined effects were (1) water-soluble carbohydrate [WSC; g/kg of dry matter (DM)] increase; (2) change in crude protein (CP) and neutral detergent fiber (NDF) content of the plant with WSC increase; and (3) the level of N fertilization. The database for evaluation of model N and milk yield predictions consisted of 4 published studies with 28 treatment means for which high-sugar grasses were being evaluated. Water-soluble carbohydrate content of the diets ranged from 95 to 248 g/kg of DM, CP content ranged from 115 to 263 g/kg of DM, and the NDF content ranged from 400 to 568 g/kg of DM. Urine N, milk N, and total N excretion were predicted well by the model and followed the directional pattern of observed values within each study. Simulation results showed that the N utilization ratio increased as the WSC content of the diet increased, but to varying degrees depending on the grass scenario examined. The greatest benefit in terms of N utilization ratio and urine N levels were seen when the WSC content of grass increased at the expense of CP, followed by a 50:50 CP and NDF mix, followed by a trade for NDF. Simulated milk yield decreased slightly when WSC increased at the expense of CP, increased slightly when it increased at the expense of a CP and NDF mix, and increased most when WSC increased at the expense of NDF. Results were amplified slightly under conditions of low-N fertilization and in the absence of grain feeding. Overall, modeling is useful as an explanatory tool. The variation from results in the literature with high-WSC grass feeding may be, at least in part, the result of the level of WSC (g/kg of DM) increase, concurrent changes occurring within the CP and NDF fractions of the plant, and the plane of nutrition of the diet (grain feeding and N fertilization levels).
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21605779     DOI: 10.3168/jds.2010-4059

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Analysis of high-molecular-weight fructan polymers in crude plant extracts by high-resolution LC-MS.

Authors:  Scott Harrison; Karl Fraser; Geoff Lane; Daniel Hughes; Silas Villas-Boas; Susanne Rasmussen
Journal:  Anal Bioanal Chem       Date:  2011-09-17       Impact factor: 4.142

2.  Does the "high sugar" trait of perennial ryegrass cultivars express under temperate climate conditions?

Authors:  M Jordana Rivero; Oscar A Balocchi; Cristian J Moscoso; Juan Agustín Siebald; Fabián Lukas Neumann; Don Meyer; Michael R F Lee
Journal:  Grass Forage Sci       Date:  2019-01-28       Impact factor: 2.630

3.  Milk Production, Milk Quality, and Behaviour of Dairy Cows Grazing on Swards with Low and High Water-Soluble Carbohydrates Content in Autumn: A Pilot Trial.

Authors:  Verónica M Merino; Oscar A Balocchi; M Jordana Rivero
Journal:  Animals (Basel)       Date:  2019-11-21       Impact factor: 2.752

4.  Mathematical model of fructan biosynthesis and polymer length distribution in plants.

Authors:  Susanne Rasmussen; John H M Thornley; Anthony J Parsons; Scott J Harrison
Journal:  Ann Bot       Date:  2013-05-03       Impact factor: 4.357

5.  Does gibberellin biosynthesis play a critical role in the growth of Lolium perenne? Evidence from a transcriptional analysis of gibberellin and carbohydrate metabolic genes after defoliation.

Authors:  Qianhe Liu; Chris S Jones; Anthony J Parsons; Hong Xue; Susanne Rasmussen
Journal:  Front Plant Sci       Date:  2015-11-03       Impact factor: 5.753

  5 in total

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