Evaluation
of Corn Silage Nutritive Value Using MILK2000
Eric Schwab and Randy Shaver
Department of Dairy
Science
University of Wisconsin - Madison
Background
The primary contribution of corn silage (CS) to rations is energy, which makes
prediction of its energy content important for diet formulation and economic
evaluations. The contents of crude
protein (CP), fat, nonstructural
carbohydrate (NSC), and neutral
detergent fiber (NDF), and the
digestibility of these nutrient components influence the energy content of
feedstuffs (Weiss, 1994). Despite this
understanding of the factors affecting the energy value of feedstuffs, most
equations to predict the energy content of CS by commercial feed analysis
laboratories are based solely on its acid detergent fiber (ADF) content (Chandler, 1990).
This is a major shortcoming of current feed analysis systems for CS
considering the recent advances in CS production which affect its energy
content, such as harvesting prior to black-layer stage of maturity (Bal et al.,
1997), high-oil (Drackley, 1997) and brown midrib (bm3; Oba and Allen, 1999)
corn hybrids, and kernel processing (Bal et al., 2000b).
When determined by difference calculation
(100-CP-NDF-Fat-Ash), the NSC component of CS is comprised of starch, sugars,
and organic acids. Weiss et al. (1992)
used a constant digestibility coefficient for the NSC fraction. However, digestibility of starch is
influenced by stage of maturity at harvest (Bal et al., 1997) and kernel
processing (Bal et al., 2000b; Dhiman et al., 2000). Digestibility of NDF is increased for bm3 hybrids compared with conventional hybrids (Oba and Allen,
1999). To the extent that lignin is
related to NDF digestibility, the summative equation of Weiss et al. (1992)
accounts for this difference between bm3
and conventional hybrids in their estimate of the energy content of CS. However, in vitro NDF digestibility (IVNDFD) differences between corn
hybrids cannot be incorporated directly into the summative equation developed
by Weiss et al. (1992) for estimating the energy content of CS. Also, we found a poor relationship for corn
silage between potentially digestible NDF calculated using the Weiss (1996)
lignin sub-equation and IVNDFD.
Undersander et al. (1993) presented a method for
estimating milk per ton of forage dry matter (DM) as an index of forage nutritive value based on the energy
content predicted from its ADF content and DM intake (DMI) predicted from its NDF content. Again, starch and NDF digestibilities were not taken into
consideration in their equations. Also,
Bal et al. (2000a) compared two CS hybrids and reported a poor relationship
between estimated milk per ton and actual milk production measured in a feeding
trial.
Analyses for CS starch and NDF concentrations and in vitro NDF digestibility are available to the industry through commercial feed testing laboratories. Despite this fact, these analyses were not being used previously in an integrated fashion to estimate the nutritive value of CS. Our objective with MILK2000 was to incorporate starch and NDF digestibility coefficients into estimates of the nutritive value of corn silage.
Approach
A published summative energy equation (Weiss, 1996), with CP, fat, NSC, and NDF components and corresponding digestibility coefficients, was adapted for corn silage as follows: the CP and fat components were not altered, the NSC component with constant digestibility was replaced with starch and sugar plus organic acid components, the starch digestibility coefficient was varied in relationship to whole-plant DM content and kernel processing, and the NDF digestibility coefficient based on lignin content was replaced by IVNDFD.
Regression equations were developed from literature data to predict total tract starch digestibility from whole-plant DM content for unprocessed and processed corn silage. Slopes of the unprocessed and processed CS starch digestibility regression equations indicate that DM content has a greater impact on the starch digestibility of unprocessed than processed CS. At 35% DM, predicted total tract starch digestibility for unprocessed and processed CS was 86 and 91%, respectively. At lower DM contents the difference between processed and unprocessed silage was smaller and increased as DM content increased. The concentration of the sugar plus organic acid (SUOA) component of CS can be approximated by subtracting percent starch from percent NSC. Alternatively, analytical values for sugars and organic acids can be used when available. A digestion coefficient of 100% was assigned to the SUOA component. A 48-hour or maintenance intake IVNDFD measurement was used in the summative equation.
For the MILK 2000 model, we used our net energy for lactation (NEl) estimates along with DM intake estimated from NDF content and IVNDFD to estimate milk per ton of corn silage DM.
Model Evaluation
A comparison of corn silage NEL values at varying whole-plant DM contents while holding ADF and NDF constant was conducted. The Weiss (1996) summative equation and the ADF-based empirical equations resulted in a constant NEL value across silage DM contents ranging from 30% to 45%. Our equation (Schwab-Shaver; SSE) reduced the NEL value from 0.74 to 0.64 Mcal/lb DM and 0.74 to 0.69 Mcal/lb DM for unprocessed and processed CS, respectively, as corn silage DM content increased from 30 to 45% in relationship to the effects of silage DM content and kernel processing on starch digestibility (Bal et al., 1997; Bal et al., 2000b).
A comparison of corn silage NEL estimates
from the two summative equations was conducted by varying CS nutrient
components. As
starch or NSC content was increased and NDF content was decreased, the corn
silage NEL estimate increased for both summative equations. Processing increased NEL by 0.02
Mcal/lb DM with the SSE. This effect of
processing was unaccounted for with the Weiss (1996) summative equation. The effects of either increasing IVNDFD
(SSE) or decreasing lignin (Weiss, 1996) were evaluated. While both equations consider NDF and its
digestibility, the SSE estimates digestible nutrients from NDF based on IVNDFD
and the Weiss (1996) equation uses potentially digestible NDF based on NDF and
lignin concentrations. As IVNDFD was
increased at 10%-unit increments, the NEL estimate from SSE
increased by 0.05 Mcal/lb DM. As lignin
content was reduced at 1%-unit increments, the NEL estimate from the
Weiss (1996) equation increased by 0.02 Mcal/lb DM.
A comparison of milk per ton of corn silage DM estimates
from the milk per ton model was conducted.
As found for the NEL estimates, the milk per ton estimates
were constant for all equations across silage DM contents except the SSE. Milk production declines as corn silage DM
content increases (Bal et al., 1997) and for unprocessed vs. processed CS (Bal
et al., 2000b) have been reported. Milk
per ton estimates as corn silage ADF and NDF concentrations or IVNDFD were
varied followed similar trends as for NEL estimates.
Near infrared reflectance (NIR) calibrations were available for fresh whole-plant corn samples
for all components needed to run MILK2000 except starch. An NIR calibration was developed for
starch. A comparison of MILK2000 versus
MILK95 for reporting the 2000 WI corn silage hybrid performance trial results
was conducted. MILK2000 results appear
in the 2000 publication (Lauer et al., 2000).
Near infrared calibrations were generally available
in commercial forage testing labs for all components needed to calculate the
SSE NEl on corn silage
samples for nutritionists except IVNDFD.
In fact, wet chemistry IVNDFD was not being done in WI on a commercial
basis previously. The Marshfield Soil
and Forage Analysis Laboratory now performs wet chemistry IVNDFD and
development of an NIR calibration for IVNDFD on corn silage is in progress. The SSE summative equations have been made
available to commercial forage testing labs and as of 1/01 the AgSource
(Bonduel, WI), Dairyland (Arcadia, WI), Rock River (Watertown, WI), and
Marshfield labs have programmed these equations into their reporting
system. As of 1/01, the commercial labs
are in various stages of development of an NIR calibration for IVNDFD and
offering the SSE NEl and
milk per ton values to their customers.
A Power Point presentation describing MILK2000 and
an Excel spreadsheet to calculate SSE NEl
and milk per ton are available on the internet at
www.wisc.edu/dysci.
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