Handling High Commodity Prices- Normand St-Pierre
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Transcript of Handling High Commodity Prices- Normand St-Pierre
Copyright 2011, N. St-Pierre, The Ohio State University
Handling High Commodity Prices
Normand St-Pierre, Ph.D., P.A.S.
The Ohio State University
Copyright 2011, N. St-Pierre, The Ohio State University
Realities
High(er) commodity prices are likely with us for the long-run…
Dairy producers are NOT defenseless Change in thinking and attitude Sharper pencil
Copyright 2011, N. St-Pierre, The Ohio State University
A Few Questions
• Is corn expensive?
Copyright 2011, N. St-Pierre, The Ohio State University
Corn, U.S. No 2 YellowFOB Gulf of Mexico, US dollars per metric ton
July 1991 – July 2011
Source: International Monetary Fund
Copyright 2011, N. St-Pierre, The Ohio State University
A Few Questions
• Is corn expensive?• From a HISTORICAL perspective, YES.
Dah!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Finding the same feed, but cheaper somewhere else.
Make sure that you are comparing apples to apples. Commodities can have the same name but different specifications.
Feeds are often bought with services bundled in. Forage analyses, ration balancing These services have a value, but make sure that:
1. You require these services 2. They are delivered at a competitive price
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Finding the same feed, but cheaper somewhere else. Make use of cash discounts
Manage your cash-flow 1% discount for paying 15 days early is equal to an APR greater
than 25%.
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Finding the same feed, but cheaper somewhere else. Make use of cash discounts Avoid credit card balances
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Finding the same feed, but cheaper somewhere else. Make use of cash discounts Avoid credit card balances Make sure that you are getting what you paid for…
(and that you know what you are paying for…)
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Shop wiser!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop wiser! Finding underpriced feeds
Not the same as “cheap feeds” Avoiding overpriced feeds
Not the same as “expensive feeds” Comparing feed ingredients with different
nutritional composition
Copyright 2011, N. St-Pierre, The Ohio State University
It’s like buying a house!
What is this house worth?
Copyright 2011, N. St-Pierre, The Ohio State University
It’s like buying a house!
Or this one?
Copyright 2011, N. St-Pierre, The Ohio State University
It’s like buying a house!
Or these houses?
Copyright 2011, N. St-Pierre, The Ohio State University
House Value
Different houses have different attributes. We can price the house attributes (square feet,
number of bedrooms, number of bathrooms, square yards of backyard, high school average scores on SAT/ACT, etc…) if we have many houses that sold and their attributes.
Copyright 2011, N. St-Pierre, The Ohio State University
The Need
To compare feedstuffs of different composition on an economic basis.
To determine the cost of nutrients.
Copyright 2011, N. St-Pierre, The Ohio State University
Assumptions
Feedstuffs are worth their content of nutrients Buyers and sellers of feedstuffs are coherent and
rational Markets are competitive but need time (lag) to adjust.
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson MethodApplied to Energy and Crude Protein
Price DM % CP (%) NEl (Mcal/lb)
Corn $ 150 88 10.0 0.89
Soybean Meal $ 300 90 55.1 0.91
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson Method:Using Corn and Soybean Meal
Corn: 150 = 176 $CP + 1566 $NE
Soybean: 300 = 992 $CP + 1638 $NE
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson Method:Using Corn and Soybean Meal
Corn: 150 = 176 $CP + 1566 $NE
Soybean: 300 = 992 $CP + 1638 $NE
Value of Crude Protein
In one Ton of Corn
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson Method:Using Corn and Soybean Meal
Corn: 150 = 176 $CP + 1566 $NE
Soybean: 300 = 992 $CP + 1638 $NE
Value of Crude Protein
In one Ton of Corn
Value of Energy
In one Ton of Corn
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson Method:Using Corn and Soybean Meal
Corn: 150 = 176 $CP + 1566 $NE
Soybean: 300 = 992 $CP + 1638 $NE
Two equations with two unknowns...
Copyright 2011, N. St-Pierre, The Ohio State University
The Peterson Method:Using Corn and Soybean Meal
Corn: 150 = 176 $CP + 1566 $NE
Soybean: 300 = 992 $CP + 1638 $NE
$CP = $0.177/lb
$NE = $0.076/Mcal
Copyright 2011, N. St-Pierre, The Ohio State University
Problems with the Peterson Method:Using Corn and Soybean Meal
• Assumes that corn and soybean meal (barometer feeds) are always perfectly priced• Both are never over- or under-priced
• Values only energy and crude protein• Method implies irrational buyers and sellers
• Buyers would keep buying “overpriced” commodities• Sellers would keep selling “underpriced” commodities
Copyright 2011, N. St-Pierre, The Ohio State University
Overcoming the Problems
Sesame uses prices and composition of all feeds traded in a given market to calculate the cost of the nutrients.
Sesame uses the economically important nutrients to assess the economic value of a feed.
Copyright 2011, N. St-Pierre, The Ohio State University
Reminders There are no “requirements” in Sesame
Market information back captures the implicit state of supply and demand
Sesame does not look whether a feed “fits” Fitting is tactical; Sesame is strategic
Selection of different nutrients yields different economic values Economic value is not the same for a hog and a cow Economic value is not the same for elite producers
vs. average producer
Copyright 2011, N. St-Pierre, The Ohio State University
PA – 8/29/2011
Copyright 2011, N. St-Pierre, The Ohio State University
PA – 8/29/2011
Copyright 2011, N. St-Pierre, The Ohio State University
PA – 8/29/2011
Copyright 2011, N. St-Pierre, The Ohio State University
PA – 8/29/2011
Copyright 2011, N. St-Pierre, The Ohio State University
Soybean Meal – 48%
Copyright 2011, N. St-Pierre, The Ohio State University
False Savings?
• “I grew it, so it is not as expensive to feed my cows!”
Copyright 2011, N. St-Pierre, The Ohio State University
False Savings?
• “I grew it, so it is not as expensive to feed my cows!”• So, the person selling your
corn is either an incompetent or an imbecile!
Copyright 2011, N. St-Pierre, The Ohio State University
What is the new nutritional economics era?
• Dietary energy (NEL) costs well above historical average (casualty of grain ethanol ???)
• Discounted RDP prices (dependent on amount of grain processing)
• Variable d-RUP prices (should follow the “protein” market but with greater fluctuation amplitudes)
• Discounted ne-NDF prices (depends on supply/demand for “processed” dietary fiber)
• Expensive e-NDF (casualty of grain ethanol ???)
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Same amounts of forage fed
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Eliminate Wet brewers grains
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Cut whole cottonseed by nearly half
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Reduce ground corn by 25%
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Eliminate conventional soybean meal
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Slight increase in expeller soymeal
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Heavy use of by-products
- Multiple sources reduces total diet variation
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 ---- lbs as fed per day ---- Legume hay 4.2 4.2 Legume silage 19.5 19.5 Corn silage 37.0 37.0 Brewers grains, wet 13.8 - Whole cottonseed 5.0 2.75 Corn, ground 15.0 11.25 Soymeal 44% 2.25 - Soymeal, expeller 2.25 2.75 DDGS - 3.33 Hominy - 2.25 Gluten feed - 2.75 Wheat middlings - 2.75 Tallow 0.5 - Minerals and Vits 1.5 1.5
Eliminate tallow
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 Dry matter (lbs/day) 51.3 51.3 NEL (Mcal/lb) 0.735 0.734 ---- % of DM ---- CP 17.0 16.7 RDP 11.3 10.8 RUP 5.6 5.8 MP 10.6 10.6 NDF 32.2 33.3 NFC 42.5 42.8 Ether extracts 5.7 4.6
Copyright 2011, N. St-Pierre, The Ohio State University
2004 2008 Dry matter (lbs/day) 51.3 51.3 NEL (Mcal/lb) 0.74 0.73 ---- % of DM ---- CP 17.0 16.7 RDP 11.3 10.8 RUP 5.6 5.8 MP 10.6 10.6 NDF 32.2 33.3 NFC 42.5 42.8 Ether extracts 5.7 4.6 Cost ($/cow per day) (using 2008 prices)
6.10 5.52
Difference of $0.58/cow/day
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Shop wiser! Avoid the black holes!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Avoid the black holes! Shrinkage of commodities
Often exceeds 5% DM shrinkage of silages
Copyright 2011, N. St-Pierre, The Ohio State University
Pricing home-grown corn silage
Copyright 2011, N. St-Pierre, The Ohio State University
Pricing home-grown corn silage
10% $6.10
$67.10
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Shop wiser! Avoid the black holes! Don’t cut the corners!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Don’t cut the corners! Value of multiple rations
Copyright 2011, N. St-Pierre, The Ohio State University
Nutritional Grouping: Benefits More “precise” nutrition
Diets are closer to the nutritional requirements of all animals in the group
Reduced feed costs Lower lead factors (safety margins) Better targeting of feed additives and value-added
feeds Improved production Better control of body condition Reduced nutrient excretion
Copyright 2011, N. St-Pierre, The Ohio State University
Nutritional Grouping: Disadvantages A pain in the b… Transient reduction in production Labor and management demand
More complicated to feed, etc. A pain in the b… worth ~ $0.25/cow/day!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Don’t cut the corners! Value of multiple rations
Avoid steep changes in diet composition Move large number of animals at once Reduced effects in large pens
Group for other things than breeding status
Copyright 2011, N. St-Pierre, The Ohio State University
Number of Lactation Diets Practical recommendations:
<100 cows: 1 group 100-300: 2 groups >300: 3 groups
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Shop wiser! Avoid the black holes! Don’t cut the corners! Using feed additives to hide management
flaws!
Copyright 2011, N. St-Pierre, The Ohio State University
What Can Be Done?
Shop better! Shop wiser! Avoid the black holes! Don’t cut the corners! Using feed additives to hide management
flaws! Reduce the welfare checks!
Copyright 2011, N. St-Pierre, The Ohio State University
The Welfare Checks
Reduce the welfare checks! Dry cows and replacement heifers are welfare
recipients. Their welfare checks are written by the lactating
cows.
Copyright 2011, N. St-Pierre, The Ohio State University
The Welfare Checks
Copyright 2011, N. St-Pierre, The Ohio State University
The Welfare Checks
Copyright 2011, N. St-Pierre, The Ohio State University
The Welfare Checks
Copyright 2011, N. St-Pierre, The Ohio State University
The Welfare Checks
A 30% reduction in net income…
Copyright 2011, N. St-Pierre, The Ohio State University
Handling high commodity prices
What do you think?
Thank You