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Variability in nutrient composition of cereal grains from different origins

Overview of attention for article published in SpringerPlus, April 2016
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Title
Variability in nutrient composition of cereal grains from different origins
Published in
SpringerPlus, April 2016
DOI 10.1186/s40064-016-2046-3
Pubmed ID
Authors

Jinyoung Lee, Doo Seok Nam, Changsu Kong

Abstract

Nutrient composition of individual feed ingredient in mixed feed is important for accurate formulation of animal feeds. However, each feed ingredient can be different depending on its origin. Therefore, this study was conducted to investigate the variability in nutrient compositions of corn, wheat, and barley grains from different origins. Cereal grains used in this study were from 5 countries for 432 corn samples, 5 countries for 65 wheat samples, and 3 countries for 60 barley samples. They were imported to Korea between 2006 and 2015. These grain samples were subjected to analysis for moisture, crude protein (CP), ether extract (EE), crude fiber (CF), ash, calcium (Ca), phosphorus (P), and gross energy (GE). The concentrations of moisture, CP, EE, CF, ash, Ca, P, and GE of corn differed (P < 0.05) among countries. GE in corn samples ranged from 3836 kcal/kg (Ukraine) to 3995 kcal/kg (Brazil). There were also differences (P < 0.05) in moisture, CP, ash, and P of wheat and in moisture, CF, Ca, P, and GE in barley from different countries. GE values in wheat ranged from 3957 kcal/kg (Brazil) to 4058 kcal/kg (United States) and GE values in barley samples ranged from 3894 kcal/kg (India) to 4059 kcal/kg (Australia). The most different nutrient depending on origins was Ca. The coefficient of variation was 65.7 % for corn, 57.4 % for wheat, and 28.8 % for barley. In conclusion, nutrients and energy contents in corn, wheat, and barley from various origins investigated in the present study were different. Therefore, it is important to consider these variations when formulating animal feeds.

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Doctoral Student 5 12%
Researcher 4 10%
Student > Bachelor 4 10%
Student > Master 4 10%
Other 7 17%
Unknown 9 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Engineering 3 7%
Chemistry 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 6 15%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2016.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#255,164
of 301,100 outputs
Outputs of similar age from SpringerPlus
#161
of 196 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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