Literature DB >> 21338808

Modeling degradation ratios and nutrient availability of anthocyanidin-accumulating Lc-alfalfa populations in dairy cows.

A Jonker1, M Y Gruber, Y Wang, B Coulman, A Azarfar, J J McKinnon, D A Christensen, P Yu.   

Abstract

Dairy cattle eating fresh or ensiled alfalfa as the main portion of their diet often have low protein efficiency because of the rapid initial rate of ruminal protein degradation of fresh and ensiled alfalfa. Ruminal protein degradation of alfalfa might be reduced by introducing a gene that stimulates the accumulation of mono- or polymeric anthocyanidins in alfalfa. The objectives of this study were to fractionate protein and carbohydrates by in situ and chemical approaches, to evaluate in situ ruminal degradation characteristics and synchronization ratios, to determine protein availability to dairy cattle using the 2007 digestible intestinal protein/rumen-degraded protein balance (DVE/OEB) protein system, and to determine net energy for lactation using the Dutch net energy for lactation (VEM) system for 3 newly developed transgenic winter hardy anthocyanidin-accumulating T(1)Lc-alfalfa populations. These T(1)Lc-alfalfa populations, called (T1)BeavLc1, (T1)RambLc3, and (T1)RangLc4, had an average anthocyanidin accumulation of 163.4 μg/g of DM, whereas AC Grazeland (selected for a low initial rate of degradation) did not accumulate anthocyanidin. The basic chemical composition of the original samples, soluble and potentially degradable fractions, and degradation characteristics of crude protein and carbohydrates were similar in T(1)Lc-alfalfa and AC Grazeland. The undegradable in situ crude protein and neutral detergent fiber fraction had 1.3% lower CP and 4.8% lower CHO, respectively, in T(1)Lc-alfalfa compared with the amounts in AC Grazeland. The T(1)Lc-alfalfa had a 0.34 MJ/kg of DM higher calculated net energy for lactation and 1.9% of CP higher buffer soluble protein compared with that in AC Grazeland. By the protein evaluation model, it was predicted that T(1)Lc-alfalfa tended to have 11.9, 6.9, and 8.4 g/kg of DM higher rumen degradable protein, OEB, and intestinal available protein, respectively, compared with the amounts in AC Grazeland. The hourly OEB included an initial and substantial peak (oversupply) of protein relative to energy, which was highest in (T1)RangLc4 and lowest in (T1)RambLc3. The hourly OEB between 4 and 24h was similar and more balanced for all 4 alfalfa populations. In conclusion, T(1)Lc-alfalfa accumulated anthocyanidin, tended to have higher predicted intestinal protein availability, and had higher predicted net energy of lactation availability for dairy cattle than did AC Grazeland.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21338808     DOI: 10.3168/jds.2010-3604

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


  4 in total

1.  Gene-Transformation-Induced Changes in Chemical Functional Group Features and Molecular Structure Conformation in Alfalfa Plants Co-Expressing Lc-bHLH and C1-MYB Transcriptive Flavanoid Regulatory Genes: Effects of Single-Gene and Two-Gene Insertion.

Authors:  Ravindra G Heendeniya; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2017-03-20       Impact factor: 5.923

2.  Acacia nilotica leaf meal - potential supplement to 25% dorper crosses of local sheep fed a basal diet of natural pasture hay.

Authors:  Wondimagegne Bekele; Getachew Kassa; Teklewold Taddes; Muluken Girma; Alemayehu Mengistu; Getnet Assefa
Journal:  Heliyon       Date:  2022-08-10

3.  Gene-Silencing-Induced Changes in Carbohydrate Conformation in Relation to Bioenergy Value and Carbohydrate Subfractions in Modeled Plant (Medicago sativa) with Down-Regulation of HB12 and TT8 Transcription Factors.

Authors:  Xinxin Li; Abdelali Hannoufa; Yonggen Zhang; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2016-05-13       Impact factor: 5.923

Review 4.  The Role of Proanthocyanidins Complex in Structure and Nutrition Interaction in Alfalfa Forage.

Authors:  Arjan Jonker; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2016-05-23       Impact factor: 5.923

  4 in total

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