Feed Strategy - February 2018 - 33

FeedStrategy ❙ 33

The constituents of silage should add up to
roughly 100 percent on an analysis sheet.

Constituents of silage
33
10

Acid detergent fiber (ADF)

12
14
18
3

25

Lipid
Sugars/WSC/Starch - acid alcohols
ethyl esters
Minerals/ash

5
23

Hemicellulose

Cellulose
Lignin

78% D ME 12.5

30
7

Neutral detergent fiber (NDF)

10

7
3

Crude protein

58% D 9.3

Source: Beever et al., 2000

base," illustrates this nicely. The top
row represents predictions for a grass
silage using a grass silage database
and the second row are values for corn
silage using a corn silage database.
The third and fourth row values have
been derived from meaning the values
for the two predictions as a 50:50 mix
on a fresh matter (FM) (row three)
and DM (row four) basis. Rows five
and six represent predictions for the
50:50 mix predicted using a corn (row
five) or a grass (row six) database. In
general, using the grass database tries
to predict the mix as a grass silage and
the corn database as a corn silage. In
reality, both are wrong.  

prediction. To illustrate the effect of
the database, apples are a good example. Not all apples are the same,

so, if red ones weren't included in
the original data set used for the
calibrations, then predicting red
apple composition won't be so accurate. Likewise, introducing a golden
delicious grown in France will introduce a new layer of variability not
covered in the original sample set,
so future predictions could be poor.
The importance of the database
behind the predictions can also be
exemplified using older samples for
current predictions. For example,
if the database contained samples
consisting of older grass varieties,
older silage additives and/or wet
silages then the sugar levels in these

GA

A matter of life
and death

Databases, samples
and calibration
A good database gives a good
prediction. However, if the percentage DM is good but another analyte
with a poor number of samples
behind it is predicted on the same
sample set, it could still give a poor
February 2018 ❙ www.WATTAgNet.com

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Table of Contents for the Digital Edition of Feed Strategy - February 2018

Feed Strategy - February 2018
Contents
Livestock premixes evolve to meet consumer demands
6 alternative protein sources to soybean meal
Insect proteins inch toward approval for EU animal feed
How to improve the effi ciency of corn-soy poultry diets
5 feeding strategies to combat piglet diarrhea
Basics of NIRS forage and feed analysis for dairy feed
Feed formulation software enhances effi ciency, profi ts
VICTAM Asia to showcase latest in feed, food industries
In the Mix
Products
Marketplace
Advertisers’ Index
Feed Strategy - February 2018 - CT1
Feed Strategy - February 2018 - CT2
Feed Strategy - February 2018 - Feed Strategy - February 2018
Feed Strategy - February 2018 - Cover2
Feed Strategy - February 2018 - Contents
Feed Strategy - February 2018 - In the Mix
Feed Strategy - February 2018 - 3
Feed Strategy - February 2018 - 4
Feed Strategy - February 2018 - 5
Feed Strategy - February 2018 - Livestock premixes evolve to meet consumer demands
Feed Strategy - February 2018 - 7
Feed Strategy - February 2018 - 8
Feed Strategy - February 2018 - 9
Feed Strategy - February 2018 - 6 alternative protein sources to soybean meal
Feed Strategy - February 2018 - 11
Feed Strategy - February 2018 - 12
Feed Strategy - February 2018 - 13
Feed Strategy - February 2018 - 14
Feed Strategy - February 2018 - 15
Feed Strategy - February 2018 - Insect proteins inch toward approval for EU animal feed
Feed Strategy - February 2018 - 17
Feed Strategy - February 2018 - 18
Feed Strategy - February 2018 - 19
Feed Strategy - February 2018 - How to improve the effi ciency of corn-soy poultry diets
Feed Strategy - February 2018 - 21
Feed Strategy - February 2018 - 22
Feed Strategy - February 2018 - 23
Feed Strategy - February 2018 - 24
Feed Strategy - February 2018 - 25
Feed Strategy - February 2018 - 5 feeding strategies to combat piglet diarrhea
Feed Strategy - February 2018 - 27
Feed Strategy - February 2018 - 28
Feed Strategy - February 2018 - 29
Feed Strategy - February 2018 - Basics of NIRS forage and feed analysis for dairy feed
Feed Strategy - February 2018 - 31
Feed Strategy - February 2018 - 32
Feed Strategy - February 2018 - 33
Feed Strategy - February 2018 - 34
Feed Strategy - February 2018 - 35
Feed Strategy - February 2018 - Feed formulation software enhances effi ciency, profi ts
Feed Strategy - February 2018 - 37
Feed Strategy - February 2018 - 38
Feed Strategy - February 2018 - 39
Feed Strategy - February 2018 - VICTAM Asia to showcase latest in feed, food industries
Feed Strategy - February 2018 - 41
Feed Strategy - February 2018 - Products
Feed Strategy - February 2018 - 43
Feed Strategy - February 2018 - Advertisers’ Index
Feed Strategy - February 2018 - Cover3
Feed Strategy - February 2018 - Cover4
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