Corn Silage Fermometer

March 2013

The 2012 corn silage crop appears to have stabilized after five months in storage for the Northeast and Mid-Atlantic regions.  A review of the past month’s data would indicate that there may not be a lot of significant change in nutrient values in stored corn silage from this point on.  This does not mean however that some smaller evolution in protein and carbohydrate fractions may not occur.

It was about five years ago that we started reporting based on aggregate lab data that corn silage characteristics changed over the months of storage and never reached a totally stable endpoint .  We determined that most of the significant changes occurred over the initial 6 months of storage and then plateaued.  However, it may be that the more subtle changes after this point were confounded by the impact of hot weather on materials sampled from a bunker or storage structure face.

Dr. Charlie Sniffen evaluated some of our historic corn silage data several years ago and found that there were surprisingly strong relationships between some of the nutrient characteristics over time.  These relationships were consistent with what was being recognized about the impact of time in storage on protein and carbohydrate fractions.

Evaluating the data we determined a likely average fermentation “start point” for corn silage from the Northeast and Mid-Atlantic states.   From that point we established a three week rolling average to smooth the data.  In the pages that follow is a summary of that information.  Each week represents between 500 and 2500 samples.  We will continue to update this information through the summer every couple of months.

 

As our market continues to increase in the upper Midwest we will be able to create a separate “Fermometer” for that region of the country.  Visit www.foragelab.com and check our “News and Updates” for a current “Fermometer” reading.

Corn Silage, 3 Week Rolling Average, North-East and Mid-Atlantic Data, 2012 Crop

 

Storage Week DM CP SP SP%CP NH3 NH3%CP NH3%SP
Sep 0 36.7 8.3 2.3 27.1 1.01 12.3 46.0
22-Sep 3 35.7 8.36 3.26 39.0 1.19 14.5 39.2
13-Oct 6 36.2 8.22 3.35 40.9 1.18 14.6 37.4
3-Nov 9 36.4 8.15 3.61 44.4 1.24 15.5 35.6
24-Nov 12 36.4 8.13 3.89 47.8 1.32 16.4 35.1
15-Dec 15 37.3 8.20 4.09 49.9 1.29 15.9 32.1
5-Jan 18 36.0 8.23 4.31 52.5 1.41 17.4 33.4
26-Jan 21 36.4 8.15 4.33 53.2 1.37 16.9 31.9
16-Feb 24 36.5 8.14 4.42 54.5 1.43 17.7 32.8
9-Mar 27 36.5 8.08 4.39 54.4 1.38 17.3 31.9

Corn Silage, 3 Week Rolling Average, North-East and Mid-Atlantic Data, 2012 Crop

 

Storage Week Sugar Starch IVSD7 NDF NDFD30 iNDFD Sol. Fiber
Sep 0 1.53 37.12 62.56 36.9 59.12 23.92 7.61
22-Sep 3 1.30 33.80 69.89 38.85 61.45 24.65 7.02
13-Oct 6 1.08 35.09 70.57 38.30 61.11 24.93 6.63
3-Nov 9 0.94 35.28 72.42 38.50 60.76 25.61 6.28
24-Nov 12 0.91 34.84 74.41 39.05 60.89 26.13 6.08
15-Dec 15 1.19 33.59 75.72 39.54 59.75 26.67 6.25
5-Jan 18 0.92 34.31 76.88 39.39 60.32 27.39 5.88
26-Jan 21 0.88 34.54 76.32 38.96 60.85 25.83 6.13
16-Feb 24 0.80 35.08 76.63 38.57 60.99 26.04 6.03
9-Mar 27 0.85 35.02 76.58 38.50 61.42 25.49 6.17

Corn Silage, 3 Week Rolling Average, North-East and Mid-Atlantic Data, 2012 Crop

 

Storage Week pH Lactic Acetic Tit. Acidity Total VFA
Sep 0 4.11 0.88 0.68 1.44 1.31
22-Sep 3 3.96 3.23 1.44 4.53 4.57
13-Oct 6 3.96 3.53 1.44 4.67 4.96
3-Nov 9 3.92 4.07 1.63 5.31 5.78
24-Nov 12 3.89 4.47 1.86 5.86 6.34
15-Dec 15 3.88 4.68 1.92 5.88 6.57
5-Jan 18 3.85 5.08 2.23 6.95 7.33
26-Jan 21 3.84 5.27 2.20 7.10 7.50
16-Feb 24 3.84 5.40 2.22 7.27 7.66
9-Mar 27 3.83 5.41 2.16 7.33 7.62

 

Commentary on Measured Nutrients

 SP%CP  –  Soluble protein as a % of crude protein:  This value is low in the un-harvested crop but increases over time  as plant enzymes break down proteins to amino acids and peptides and bacteria break these down to release ammonia..  Fresh corn silage will run around 25% and over time this value may increase to over 60% of the protein.

NH3%SP  –  Ammonia as a % of soluble protein:  This value is provided as some of the nutritional models consider this relationship.  Ammonia creation is probably a function of initial plant enzyme activity and then of certain bacterial species.  It will increase some over time, but not as quickly as peptide breakdown increases soluble protein, so NH3%SP will decline over time.

Sugar  –  This represents ethanol soluble carbohydrate which is primarily residual glucose, sucrose.  In the standing plant grown in temperate regions this value at harvest may be as high as 20%, but quickly drops as initial respiration and the microbial action ferments the sugars to acids.  In corn silage there is significant sugars to carbon dioxide and water, and microbial action ferments the sugars to acids.  In corn silage, sugars quickly drop to below 2%.   We expect to see the sugar value quickly drop and stabilize as low pH levels and low sugar levels limit microbial function.

Starch  –  This nutrient should be relatively stable over time.  Some increase may be perceived as the absolute quantity stays constant and total dry matter drops slightly over time through continued fermentation and nutrient conversion.  However, the IVSD7 (in vitro starch digestibility at 7hrs incubation) will increase as the protein matrix protecting the starch structure is broken down over time.  There is a recognized relationship between increasing levels of ammonia and increasing starch digestibility.  The Wisconsin Grain Evaluator system is based in part on this concept.

NDFD30 – The in vitro NDF digestibility at 30hrs incubation actually drops over time.  This may be counterintuitive and contrary to what some research has reported.  It is not that the NDF is less digestible, but that the quantity of potentially digestible NDF drops relative to indigestible NDF and thus NDF digestibility as a % of NDF drops.  Some of what is defined as NDF is labile and is degraded during the initial period of respiration and fermentation.  There is often a measurable drop of about 3% NDFD from fresh to fermented silage.  This fermentation summary may pick up some of, but not all of that change.  Time in fermentation does not appear to impact or increase the degradability of the potentially digestible NDF component of corn silage.

iNDFD  –  This is the indigestible NDF as a % of total NDF, measured at 240 hours incubation.  As this value does not change compared to other components which may be converted through fermentation or enzymatic action, it can serve as a marker for change.  Tracking this value over the initial 8 weeks of fermentation of the 2012 crop, we would perceive a 4.5% loss of dry matter through the fermentation process to this point.  This does not account for initial fermentation and respiration losses which can be even more significant.

Soluble fiber  –  This is a “catch-all” of various undefined carbohydrate fractions in the corn silage plant which can include pectins, plant acids, and oligosaccharides.  These components see a significant drop over time in fermentation even though the absolute change is not significant.

Lactic, Acetic acid, Total VFA  –  As fermentation continues, we anticipate lactic acid, acetic acid, and total VFA levels to rise.  Lactic acid levels tend to stabilize more quickly than acetic acid which can continue to increase over time, especially in wetter silages.  Titratable acidity is a measure of the amount of base (meq/gram) necessary to titrate the silage to a pH of 6.5.  Consider this an index of total acid level in the silage which should follow total VFA fairly closely as there is little buffering capacity in corn silage.

Corn Silage, 3 Week Rolling Average, North-East and Mid-Atlantic Data, 2012 Crop
CS 3 Week Rolling Average 1 CS 3 Week Rolling Average 2 CS 3 Week Rolling Average 3

 

 Information from “The Corn Silage Fermometer” – http://www.foragelab.com/Media/The%20Corn%20Silage%20Fermometer6.0.pdf

Corn Silage Processing Score and peNDF

The Corn Silage Processing Score was developed by Dr. Dave Mertens at the USDA Forage Research Center as a tool to define adequacy of kernel processing by forage harvesters. In addition, the CSPS is a tool that defines starch particle size and can be used to make inference on ruminal and total tract digestibility of starch in ruminants.

In the Corn Silage Processing Score approximately 600 ml of dried corn silage is sieved in a Ro – Tap Shaker for 10 minutes. This unit oscillates 278 times per minute and “taps” the top of the sieves 150 times per minute to create an aggressive shaking action.

Material that passes through the 4.75 mm sieve screen is collected and analyzed for starch content. The percentage of starch that passes through this screen becomes the “Processing Score”. As part of the same sieving process, the amount of material that passes through the 1.18 mm sieve screen can be evaluated for NDF. This NDF is considered ineffective fiber and is subtracted from the total to determine the percentage of NDF that is effective, or the PeNDF value.

RotapCSPS 2006

The above data was generated from Cumberland Valley Analytical Services, Inc. analysis of corn silage data from the 2006 crop year. The mean score is 51% on 551corn silage samples evaluated.

Dr. Mertens provides the following interpretation of the CSPS, the percentage of starch passing through the coarse 4.75 mm screen:

  • Greater than 70% >>>>>>>>>>>>> Optimally Processed
  • Between 50% and 70% >>>>>>>> Adequate Processing
  • Less than 50% >>>>>>>>>>>> Inadequately Processed

Based on this scale, almost half of the corn silages are inadequately processed.

The sieving technique that allows for development of the Corn Silage Processing Score will generate a Physically Effective NDF Value (PeNDF). In this evaluation the amount of NDF that does not pass through a sieve with a 1.15 mm opening is considered “effective”.

Below is the distribution of 394 PeNDF observations performed on 2006 crop year corn silage by CVAS. Ninety percent of values fell between 89% and 98%, this being the percentage of total NDF that is considered effective. It can be seen that there is a relatively small range in corn silage PeNDF values. This test may not provide a lot of diagnostic value given the narrow range. The average PeNDF value is 92.6%.

peNDF

As we consider possible relationship between CSPS and PeNDF we might expect that the better processed corn silage with higher CSPS values will have lower amounts of PeNDF. As we look at the relationship statistically of the two indexes, we find a trend toward lower PeNDF values as CSPS increases. However, this relationship has an R2 of only .09, even though statistically significant. Below is a graph of this relationship:

peNDF CSPS Relationship

Ferreira and Mertens in the development of the CSPS found that the percentage of starch greater than 4.75 mm (minimally fragmented) was positively correlated to mean particle size with an (r=.46) but with a low correlation due to different degrees of fragmentation within the same chop length.

One might expect some influence of dry matter on the friability of the grain in corn silage. As measured by the CSPS, we find no relationship. The amount of variation explained by dry matter differences is only 3%. Below is a graph of this relationship:

Dry Matter CSPS Relationship

Use of CSPS in Milk2006

Milk2006 uses estimates of starch degradability to impact the estimate of TDN and NEl of a corn silage. The CSPS in this model is used to define the use of one of three estimates of starch degradability:

CSPS > 69 (Optimum processing):

Digestible starch % = ((121.59 + (-0.8755 * DM))/100) * 1.08) (from 86% to 98%)

CSPS > 69 (Adequate processing):

Digestible starch % = ((133.20 + (-1.2731 * DM))/100) * 1.08) (from 81% to 98%)

CSPS > 69 (Inadequate processing):

Digestible starch % = ((144.81 + (-1.6707 * DM))/100) * 1.08) (from 76% to 98%)

 

Information from “Corn Silage Processing Score and peNDF”  – http://www.foragelab.com/Media/Corn-Silage-Processing-Score-peNDF.pdf

Nutrient Balance Index

Since I have been dwelling so much on nitrogen this year I thought it would be a good idea to re-affirm the importance of nutrient balance! This year we added a new parameter called the nutrient balance index (NBI).

NBI interpretation:
0-50 – Excellent
50-100 – Some imbalance
100-175 – Imbalances are present
175+ – Severe imbalance
Plant tissue testing is an under-utilized tool that can tell us a great deal about the nutrients available to the crop. We use soil testing to measure the nutrients we think will be available to the plant, but a host of factors (not only chemical, but also physical, biological and environmental) contribute what is actually available to the plant.
With crops in the reproductive stages it is an excellent time to “ask the plant how it feels” about the growing conditions.
Sampling Strategies:
Sample Good vs Bad, Light vs Dark, etc – This will allow you to see quantify the differences you see visually
Don’t sample the absolute worst plants – Especially leaves that are dead or damaged. Try to sample leaves that are poor but not the worst.
Corn – Corn at tasseling should be sampled from the ear leaf.
Soybeans – Sample the most recently matured trifoliate.
Take a soil sample – Adding a soil sample from the same spot can help you confirm the results of your tissue test and allows for better understanding of the interaction between your soil and the plant.
More information on tissue analysis is available here: