AGR-137
ALFALFA HAY QUALITY MAKES THE DIFFERENCE
ISSUED: 7-88
REVISED:
Garry D. Lacefield
Department of Agronomy
Alfalfa "Queen of the Forage Crops"
is one of the most important forage legumes grown in the US. It can be
grown over a wide range of soil and climatic conditions, it has the highest
yield potential and the highest feeding values of all adapted perennial
forage legumes. Alfalfa is a versatile crop which can be used for pasture,
hay, silage, green-chop, soil improvements and human consumption (sprouts,
etc.).
Alfalfa Hay Quality
The ultimate test of alfalfa hay quality
is animal performance. Its quality is considered satisfactory when animals
consuming it perform as desired. Whether you are buying or selling, producing
or feeding, "quality" should be a major consideration. Three quality factors
influence animal performance:
1)Consumption--Because hay intake is
a major factor in animal productivity, hay must be low in fiber and palatable
for the animal to consume enough of it.
2)Digestibility and Nutrient Content--Once
hay is consumed, it must be digested if it is to be converted to animal
products.
3)Anti-Quality Components--High quality
hay must be free of components harmful to animals.
Factors Affecting Quality
Factors which affect alfalfa hay quality
include: growing conditions, harvesting, curing, handling, storage, fertility,
varieties, pests and presence of other plant species. However, the stage
of maturity when harvested is the most important factor, and the one where
management can have the greatest impact. As alfalfa plants advance from
the vegetative to reproductive stages, then fiber and lignin increase,
and protein, digestibility, metabolizable energy and acceptability to livestock
all decrease (Table 1). Early cut hay makes a more desirable feed because
it contains more of the nutrients associated with high quality. Hay cut
at an early stage of maturity is also more palatable and is consumed in
larger quantities by livestock. Thus, using early cut hay improves animal
performance and reduces the amount of late cut hay needed.
Table 1.--Relationship of the Stage of Alfalfa Maturity at Harvest
to Total Digestible Nutrients (TDN), Crude Protein (CP) and Acid Detergent
Fiber (ADF).*
| Maturity |
TDN (%) |
CP (%) |
ADF (%) |
| Pre-bud |
65 |
21.7 |
28 |
| Bud |
62 |
19.9 |
31 |
| 1/10 bloom |
58 |
17.2 |
34 |
| 1/2 bloom |
56 |
16.0 |
38 |
| Full bloom |
54 |
15.0 |
40 |
| Mature |
52 |
13.6 |
42 |
SOURCE: Nutrient Requirements of Dairy Cattle, 1978, National Academy of
Science, Publ. 1349
*Expressed on dry matter basis.
Evaluating Hay Quality
Several methods exist for evaluating
alfalfa hay quality: visual, chemical, Near Infrared Reflectance Spectroscopy
(NIRS) and animal performance. Visual estimates can help, but evaluators
vary considerably. Description based on these estimates show high quality
hay to be early cut, green, leafy, soft, free of foreign material and with
a pleasant odor.
The most precise way to determine hay's
nutrient content is through quality analysis. If you take a representative
sample and have its quality analyzed, the results can help you determine
how much and what type of supplementation to use for the level of animal
performance you want. Determining hay quality also lets you meet the nutrient
requirements of different classes of livestock which can lead to more efficient
and economical feeding programs.
Sampling for Quality Tests
To test your hay you must get a random,
representative sample because the laboratory results will be only as accurate
as the sample submitted. Take samples for each "lot" of hay. A lot of hay
is hay taken from the same harvest, the same field, same type of harvest
conditions, and with the same method of storage and same weather conditions
during harvest.
Collecting the Sample
When collecting samples:
1)use a hay probe with minimum cutting
diameter of 1/2 inch and minimum length of 12 inches (several hay probes
are available commercially at prices ranging from $28 to $100);
2)take samples from the end of bales;
3)submit 15 to 20 probe samples from
each "lot" of hay;
4)store samples in an airtight bag
for shipment to laboratory (otherwise moisture content will change);
5)when using a probe with an electric
drill, use slow speed only (high speeds heat the sample and can change
composition or moisture);
6)avoid sending "grab" samples or flakes
of hay.
Methods of Analysis
Traditionally, laboratories received
samples and, through several chemical laboratory tests, completed a quality
analysis on them. Most laboratories still use this method but many are
using a newer more rapid method called NIRS.
NIRS (Near Infrared Reflectance Spectroscopy),
developed in the mid-70s as a research tool, has been used widely since
the early 80s for forage quality evaluation. NIRS is a rapid, accurate,
repeatable, low-cost and nondestructive method. Samples needing days to
be analyzed with traditional laboratory tests can be analyzed in minutes
using near infrared light.
How does NIRS work? Each major organic
component of forage (e.g. protein) absorbs and reflects near infrared light
differently. By measuring these different reflectance characteristics,
the NIRS and its coupled computer can rapidly determine the quantity of
these components in the forage. Thus, NIRS analysis offers many opportunities
in conjunction with ration balancing programs.
NIRS is also quite mobile. All the
necessary equipment can be put in a van and moved for on-site analysis.
These mobile vans can also be involved in marketing alfalfa hay. With NIRS,
the quality of a lot of hay can be determined before the sale, so both
buyers and sellers will know its feed value. This technology is rapidly
improving inter- and intra-state communications within the hay marketing
industry and offers tremendous potential for creative electronic marketing.
Quality Standards
Many groups and organizations (American
Forage and Grassland Council, National Alfalfa Hay Testing Association,
National Hay Association, etc.) have worked together over several years
to develop standards based on quality analysis. Table 2 gives the most
recent standards proposed.
Table 2.--Legume, Grass and Legume Mixture Quality Standards
Quality
Standarda |
Analysisb |
| CP |
ADF |
NDF |
DDMc
% |
DMId
% of BW |
RFVe |
|
% of DM
|
| Prime |
> 19 |
<< 31 |
<< 40 |
> 65 |
> 3.0 |
> 151 |
| 1 |
17-19 |
31-35 |
40-46 |
62-65 |
3.0-2.6 |
151-125 |
| 2 |
14-16 |
36-40 |
47-53 |
58-61 |
2.5-2.3 |
124-103 |
| 3 |
11-13 |
41-42 |
54-60 |
56-57 |
2.2-2.0 |
102-87 |
| 4 |
8-10 |
43-45 |
61-65 |
53-55 |
1.9-1.8 |
86-75 |
| 5 |
<< 8 |
> 45 |
> 65 |
<< 53 |
<< 1.8 |
<< 75 |
aStandard assigned by Hay Market Task Force of AFGC.
bAnalysis associated with each standard; CP = crude protein,
ADF = acid detergent fiber, and NDF = neutral detergent fiber.
cDigestibility dry matter (DDM, %) = 88.9 - 0.779 ADF
(% of DM).
dDry matter intake (DMI, % of body weight) = 120/forage
NDF (% of DM).
eRelative Feed Value (RFV) calculated from (DDM X DMI)/1.29.
Reference hay of 100 RFV contains 41% ADF and 53% NDF.
Quality and Animal Performance
Research studies with varying qualities
of alfalfa hay fed to different classes of animals have conclusively shown
that the final and best test of quality is animal performance. High quality
hay results in better animal performance. It also reduces the need for
supplementation. Table 3 shows results of studies in Wisconsin relating
quality factors to milk production. Tennessee studies (Table 4) show the
effect of alfalfa hay quality on beef gains.
Table 3.--Estimated Grade, Average Concentration of Crude Protein
(CP), Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF) and Milk
Yield in Wisconsin,* 1984-1986.
| Estimated Grade |
Number of Cuts |
CP % |
ADF % |
NDF % |
Milk lb/A |
| Prime to 1 |
5 |
22 |
31 |
43 |
10,688 |
| No. 1 |
4 |
21 |
32 |
44 |
9,120 |
| No. 1 to 2 |
3 |
19 |
35 |
46 |
7,022 |
| No. 2 |
2 |
17 |
36 |
48 |
4,259 |
SOURCE: Adapted from D.A. Rohweder et al., University of Wisconsin.
*Wisconsin Forage Council Green Gold Project, 1984-1986.
Table 4.--Effect of Alfalfa Hay Quality on Performance of 550 Lb
Beef Steers.
| Hay Quality |
Good |
Fair |
Poor |
| Crude Protein |
18.7 |
15.9 |
13.7 |
| Crude Fiber |
29.4 |
35.4 |
46.7 |
| Animal Performance |
| Hay consumed, lb/day |
17.1 |
16.5 |
13.8 |
| ADG, lb |
1.85 |
1.49 |
-0.06 |
SOURCE: University of Tennessee
Buyers who know and appreciate hay quality
are usually willing to pay more for a quality product. At hay auctions
in Wisconsin (Table 5) buyers paid a premium for higher quality hay.
Table 5.--Avg Price/Ton by Grade in Wisconsin Quality Tested Hay
Auctions (2 year avg 1807 Lots).
| Grade |
Maturity |
Price/Ton |
| Prime |
Bud |
$117 |
| 1 |
E. Bl. |
103 |
| 2 |
M. Bl. |
79 |
| 3 |
F. Bl. |
68 |
| 4 |
P. Bl. |
65 |
| 5 |
* |
63 |
SOURCE: Adapted from D.A. Rohweder, University of Wisconsin.
*Post-bloom, grass, weathered.
Summary
Traditionally, major emphasis has been
given to the production of high yields of alfalfa hay. Over the last 10
or so years, greater emphasis has been placed on producing high quality
hay. Considerable advances have been made in production, and progress is
being made relative to quality. Although advances have been made, much
is yet to be learned and implemented from both buyer's and seller's perspective
to more fully understand and appreciate hay quality's importance.
Horse and dairy markets have demanded,
and will continue to demand, high quality hay. Consequently, in planning
a production and marketing strategy, one should set a goal for high quality
hay production. This goal requires more intensive management, because even
a few days' delay in cutting will result in lower quality due to advancing
maturity. Even if you set a goal of only-high-quality hay, considerable
quantities of medium to low quality hay may be produced during the haying
season due to factors beyond your control (weather, pests, equipment breakdown,
etc.).
For hay producers in the feed some-sell
some situation, a system of selling the best hay and feeding the rest permits
efficient utilization. Producers who have no livestock and are sell-all
marketers must work out a strategy for utilizing the lowest quality, damaged
hay and broken bales. Many producers have worked out arrangements with
neighbors who have cattle operations that can use that part of their product.
Likewise, individuals and groups who
buy and feed alfalfa hay must become more quality conscious. Knowing what
influences quality and what impact it has on animal performance helps you
develop more efficient and economical feeding programs.
Glossary
CRUDE PROTEIN (CP) is the concentration
of a mixture of true protein and nonprotein nitrogen. CP equals nitrogen
x 6.25 and indicates the capacity of the feed to meet an animal's protein
needs.
DRY MATTER (DM) is the percentage
of the feed that is not water. DM equals 100% minus percent water.
NEUTRAL DETERGENT FIBER (NDF)
is an estimate of the percentage of cell wall material or plant structured
material in a feed. Measurement of this constituent is important because
it is only partially available to animals. The lower the NDF percentage,
the more of that hay an animal will eat. Thus, a low percentage of NDF
is desirable. NDF also includes acid detergent fiber and is inversely related
to intake.
ACID DETERGENT FIBER (ADF) is
an index of the percentage of highly indigestible plant material in a feed
or forage. This constituent is insoluble in acid detergent. ADF differs
from crude fiber in that ADF contains silica. Silica and lignin in plants
are associated with low digestibility. The lower the ADF, the more feed
an animal can digest. Thus, a low ADF percentage is desirable.
DIGESTIBLE DRY MATTER (DDM)
is an estimate of the percentage of the feed or forage that is digestible,
based on feeding trials with animals and also determined from ADF concentration.
DRY MATTER INTAKE (DMI) is an
estimate of the relative amount of forage an animal will eat. It is based
on animal feeding trials and NDF concentration.
DIGESTIBLE DRY MATTER INTAKE (DDMI)
is an estimate of how much DDM an animal will consume. DDMI also estimates
digestible energy intake (DEI). DDMI is calculated by the equation DDM
x DMI/100.
RELATIVE FEED VALUE (RFV) compares
one forage to another according to the relationship DDM x DMI/100 divided
by a constant.