· (est. 1975 flock no. 2248) (est. 1987 flock no. 26) (est. 1992 flock no. 1429) 33rd annual on...

(est. 1975 Flock No. 2248) (est. 1987 Flock No. 26) (est. 1992 Flock No. 1429)

33rd Annual On – Property Auction

228 Rams Poll Dorset & White Suffolk

& Merino In conjunction with Lucindale Area School

Held under-cover at

The Yacca Downs Woolshed 2671 Woolumbool Road

Wednesday, 7th October 2020 Inspection from 11.00 am

Sale 1.00 pm SA time

Malcom Graetz Scott Christie 0429 516 502 0428 400 411

Vendors: Phil Clothier 0427 658 026 Aaron Clothier 0428 658 002 Email: [email protected] Website: www.woolumbool.com.au

Rebate A rebate of 4% will be paid on any purchase influenced by outside agents provided they advise the selling agents in writing prior to the sale or accompany the purchaser to the sale.

mailto:[email protected]

Health Status

Woolumbool flocks: (PD Flock No.2248) (WS Flock No. 26)

(MM Flock No 3) (Merino Flock No.4615) are:

Accredited Ovine Brucellosis Free (SA 326) Accredited Ovine Johne’s Disease Mn3 (S139) All rams have been Gudair vaccinated A vendor declaration will be supplied sale day. A National Sheep Health statement will be supplied sale day.

Ram Treatments

Cobalt & Selenium pill: March 2020 Last drench: 26th July 2020 (Moxidectin Long Acting) Shorn: 11th August 2019 (Avenge) Vaccination: 15th July 2020 (Glanvac 6) OJD vaccination : Lamb marking 2019

Guarantee

We guarantee our rams to be functional for their first working. If you have a problem with any of your purchases, please contact us and we will replace if necessary.

Welcome to Woolumbool Ram Sale 2020 Welcome to the 33rd annual Woolumbool Poll Dorset and White Suffolk ram sale. Today we offer 208 young rams with well balanced LAMBPLAN® figures it would be difficult to access in quantity anywhere else. We also offer 20 young Merino rams with leading MERINOSELECT® figures. We aim to offer fit, robust and functional rams with well balanced ASBV’s with the capability of producing prime lambs across a range of markets. Our commitment to breeding rams suitable for your production systems is resolute, and will not be influenced by fads or show-ring performance but by production information which is analysed in a meaningful and scientific manner to give you our clients a leading edge. INDEXES The Carcase+ Index is being replaced by a new index named TCP (Terminal Carcase Production) This catalogue will contain 2 index TCP and LEQ We prefer the use of TCP as it is designed to factor in EQ (Eating Quality) as part of the index to counter declining EQ as a result of continuing upward pressure on growth and muscle and we believe it offers a balanced animal which better fits most production systems. The C+ index is a desired gains index whereas the TCP & LEQ indexes are $ Value Indexes The TCP index is similar to the old C+ but also incorporates EQ traits to arrive a $ Value Index The LEQ index has a slightly differing emphasis on traits than the TCP but also incorporates WEC to arrive at a $ Value Index What are Indexes

Selecting animals involves balancing several key traits.

To make selection easier traits can be combined into a selection index.

A selection index combines ASBVs for several traits to give a single value.

This reflects the performance of the sheep relative to the breeding objective of the particular index.

Index types include:

$ Value Indexes: A dollar index indicates the value of an animal based on its suitability for a particular market. The value is given in real dollar figures and expressed as $/ewe joined/yr. For example a dollar index of 105 indicates that a ram will produce $5 extra value for every ewe joined compared to a ram with an $ index of 100.

Therefore over four years, if a ram produces 200 progeny, the extra value produced by that ram will be $5 x 200 = $1,000.

Desired Gains Indexes: Work on a proportional gain of a combination of traits. For example the Carcase Plus index puts 60% emphasis on increasing growth, 20% on decreasing fat and 20% on increased eye muscle depth.

The diagram shows how to interpret a selection index.

Ram ID PWT (kg) PFAT (mm) PEMD (mm) Index

Ram 1 7.6 -0.7 0.8 155

Ram 2 8.4 1.0 3.3 155

Lucindale Area School provides a diverse education in Agriculture from the foundation years in Reception, right up to Year 12. Students develop a diverse range of knowledge and practical skills through enterprises which include sheep, cattle, pigs, goats, poultry, aquaculture, viticulture, vegetable and fruit production.

Students partake in numerous country and state shows through the preparation of Led Steers, Merino Wethers, Boer and Angora Goats and have successfully placed in top positions.

Students are involved heavily in the development and maintenance of Lucindale Area School’s White Suffolks Stud through studying genetics, asbv’s and visual assessment of rams and ewes, monitoring lambing ewes, tagging and weighing new born lambs, lamb marking and general husbandry tasks.

Our stud is OJD MN1 and Brucellosis free accredited.

Lucindale Area School White Suffolks are currently based on Woolumbool and Seriston genetics. We thank you kindly for your support.

Ram Treatments

Marked 23rd September 2019

Drenched 4th March 2020

Shorn 28th August 2020

Sheep Genetics is a program of Meat & Livestock Australia Limited ABN 39 081 678 364

For more information contact Sheep Genetics Ph: 02 8055 1818 Fax: 02 8055 [email protected] www.sheepgenetics.org.au

MLA acknowledges the contributions of the Australian Government and AWI in the development of this publication.

An ASBV of 0 is the average of the 1990 drop. It is important to compare ASBVs against current industry average.

Animals with lowerfibre diameter

coefficient of variation(FDCV) ASBVs will

genetically have a lower variation in

fibre diameter. A higher CV% is often

associated with lower staple strength.

Animals with morepositive staple strength

(SS) ASBVs will, onaverage, have

genetically strongerwool. This ram will,

on average, sire progeny with 7.5 N/Ktstronger wool than an

average sire.

Rams with a morepositive ASBV for eyemuscle depth (EMD)produce lambs that have a higher lean

meat yield. A ram withan ASBV of 1.0 will

breed lambs with 0.5mm more EMD

than a ram with anASBV of 0.

Animals with a morepositive ASBV for weight (WT) will

produce lambs that grow faster and

therefore reach targetweights in a shorter

period of time.

Animals with morepositive staple length(SL) ASBVs will, on

average, have greatergenetic potential forlonger fibre length. This ram will sire

progeny that grow,on average, 5mm longer wool than

progeny of a ram with a 0 ASBV for SL.

An index is a guide to the value of a ram

for a particular market.Rams with higher

indexes will producesheep that are more

suited to that particular breeding

objective.

Sheep Genetics is a program of Meat & Livestock Australia Limited ABN 39 081 678 364

WT(kg)

CFW(%)

FD(m)

FDCV(%)

SS(N/Kt)

SL(mm)

EMD(mm)

NLW(%)

WEC (%) INDEX

4.046

2040

-0.8046

1.2446

1537

1045

1.045

1021

-2045 138.6

For more information contact Sheep Genetics Ph: 02 8055 1818 Fax: 02 8055 [email protected] www.sheepgenetics.org.au

Rams with a higher clean � eece weight (CFW) will produce progeny that cut more wool. A ram with an ASBV of

20% will produce progeny that cut

10% more wool than the progeny of a ram with an ASBV of 0.

Worm egg count (WEC) ASBVs estimate

an animal’s genetic potential for resisting worm burdens. Lower

WEC ASBVs are desirable. This ram

will, on average, sire progeny that have 10% fewer eggs/gram than a ram with an ASBV

of 0.

Rams with a higher number of lambs

weaned (NLW) ASBV will sire daughters that wean a higher

percentage of lambs. A ram with an ASBV of 10 will sire daughters who on average will

wean 5% more lambs than daughters of a

ram with an ASBV of 0.

Understanding MERINOSELECTASBVs

Animals with lowerfibre diameter

coefficient of variation(FDCV) ASBVs will

genetically have a lower variation in

fibre diameter. A higher CV% is often

associated with lower staple strength.

Animals with morepositive staple strength

(SS) ASBVs will, onaverage, have

genetically strongerwool. This ram will,

on average, sire progeny with 7.5 N/Ktstronger wool than an

average sire.

Rams with a morepositive ASBV for eyemuscle depth (EMD)produce lambs that have a higher lean

meat yield. A ram withan ASBV of 1.0 will

breed lambs with 0.5mm more EMD

than a ram with anASBV of 0.

Animals with a morepositive ASBV for weight (WT) will

produce lambs that grow faster and

therefore reach targetweights in a shorter

period of time.

Animals with morepositive staple length(SL) ASBVs will, on

average, have greatergenetic potential forlonger fibre length. This ram will sire

progeny that grow,on average, 5mm longer wool than

progeny of a ram with a 0 ASBV for SL.

An index is a guide to the value of a ram

for a particular market.Rams with higher

indexes will producesheep that are more

suited to that particular breeding

objective.

Rams with a higher clean � eece weight (CFW) will produce progeny that cut more wool. A ram with an ASBV of

20% will produce progeny that cut

10% more wool than the progeny of a ram with an ASBV of 0.

Worm egg count (WEC) ASBVs estimate

an animal’s genetic potential for resisting worm burdens. Lower

WEC ASBVs are desirable. This ram

will, on average, sire progeny that have 10% fewer eggs/gram than a ram with an ASBV

of 0.

Rams with a higher number of lambs

weaned (NLW) ASBV will sire daughters that wean a higher

percentage of lambs. A ram with an ASBV of 10 will sire daughters who on average will

wean 5% more lambs than daughters of a

ram with an ASBV of 0.

Lower negative fibrediameter (FD) ASBVs

are generally desirable.A ram that has anASBV of -0.8 will

produce progeny thatare genetically 0.4

microns finer than aram with an ASBV of 0.

WT(kg)

CFW(%)

FD(m)

FDCV(%)

SS(N/Kt)

SL(mm)

EMD(mm)

NLW(%)

WEC (%) INDEX

4.046

2040

-0.8046

1.2446

1537

1045

1.045

1021

-2045 138.6

Trait

ASBVAcc

MLA acknowledges the contributions of the Australian Government and AWI in the development of this publication.

An ASBV of 0 is the average of the 1990 drop. It is important to compare ASBVs against current industry average.

Woolumbool’s Breeding Program It is our view that we must breed animals that are as productive and easy care as possible. For this reason, we have in recent years, in addition to measuring for production traits, also embarked on a program of measuring and selecting for traits which will eventually lead to sheep which require minimal handling for worm treatments and will remain free of dag. These 2 traits we believe cause a greater amount of angst and extra work in sheep management than most others, particularly in the higher rainfall and higher stock density regions. Our breeding program is based on a sound combination of measured traits with analysis prepared by LAMBPLAN® the recognised world leader in this field, and practical application of the Australian Sheep Breeding Values (ASBV’s), along with recognition that animals must also be structurally correct and true to type. LAMBPLAN® ASBV’s are calculated from systematic combinations of performance information from individuals and their relatives collected at various stages during their development. They are expressed as the difference between an individual’s genetic merit and the genetic base to which the animal is compared. An online catalogue on the Sheep Genetics website has all the measured traits available. ASBV’s for nine traits are provided in this catalogue: Birth Weight (Bwt): Estimates the genetic variation between animals in weight at birth in

kilograms. Wean Weight (Wwt): Estimates the genetic variation between animals in weight at 100 days of

age in kilograms. Post Wean Wt (Pwwt): Estimates the genetic variation between animals in weight at 200 days of

age in kilograms. Fat (Pfat): Estimates the genetic variation between animals in GR fat depth at 200 days

of age in mm. Eye Muscle Depth (Pemd): Estimates the genetic variation between animals in eye muscle depth at the

C site at 200 days of age in mm. Worm Egg Count (Pwec): Estimates the genetic variation between animals in worm egg counts at 200

days of age and is expressed as a %tge. Lean Meat Yield (LMY):(%) Rams with more positive LMY ASBVs produce lambs that have a higher Lean Meat Yield percentage at slaughter Intramuscular Fat (IMF):(%) Rams with more positive IMF ASBVs produce progeny with higher levels of intramuscular fat.(IMF is a measure of the chemical fat percentage in the loin muscle of a lamb, and is often referred to as marbling. IMF has been shown to have a significant impact on the flavour, juiciness, tenderness and overall likeability of lamb.) Shear Force (SF5): (kg) Rams with more negative SF ASBVs produce lambs with more tender meat. (Shear Force is a measure of the force or energy required to cut through the loin muscle of lamb after 5 days of ageing, the ASBV is reported in deviations of kilograms of force) More information regarding eating quality traits and the TCP index is shown overleaf in a LAMBPLAN Fact Sheet

The Lamb 2020 Eating Quality index is targeted at terminal producers interested in improving the meat eating quality of their prime lambs while continuing to improve production traits in a balanced way. The LEQ index is similar to the EQ index however is based on the same production targets as Lamb 2020 where birthweight (BWT) and worm egg count (WEC) are important in the breeding objective. The greater emphasis on WEC is the main difference between LEQ and EQ. The graph below represents the predicted economic gains for each trait of interest in the index and also expresses the expected 10 year gains for the individual traits.

LAMBPLAN Terminal Eating Quality Indexes LAMB2020 + EQ (LEQ)

For more information contact Sheep Genetics Ph: 02 8055 1818 Fax: 02 8055 1850 [email protected] www.sheepgenetics.org.au Sheep Genetics is a joint program of Meat & Livestock Australia Limited ABN 39 081 678 364 and Australian Wool Innovation Limited ABN 12 095 165 558


http://www.sheepgenetics.org.au/

Terminal Carcase Production (TCP) indexReplacement for Carcase Plus

What is the new TCP index?Indexes help producers select animals for use within a breeding program when there are a range of traits of economic or functional importance. This ensures that genetic gain in one trait is not made in isolation from other traits. Using indexes in ram purchasing decisions allow producers to make balanced genetic progress towards more profitable sheep.

The TCP index has been created to assist producers to achieve both gains in their major production traits, such as post-weaning weight and muscling, as well as ensuring consumer satisfaction from lamb is maintained through focusing on key eating quality traits such as shear force (tenderness) and intramuscular fat (marbling).

The TCP index is designed to suit a production system where:

• all progeny are terminal

• improving growth and muscle is of commercial benefit

• increasing lean meat yield has a positive financial impact

• a small degree of emphasis is included to maintain or improve eating quality.

Using the TCP indexThe TCP index, unlike Carcase Plus, is on a scale that is aligned with other Sheep Genetics’ indexes and is represented in economic terms with a unit increase in the index reflecting an additional dollar per ewe joined per year. To assist in comparing rams, Sheep Genetics recommends using a percentile band table as reference. The figure below, which is based on the percentile band table, highlights the TCP index value for significant percentiles for the 2018 drop animals.

Key points• Carcase Plus has been an important index for the sheepmeat industry but it has been found to have a

negative impact on eating quality. Because of this and the industry’s focus on delivering high eating quality outcomes for consumers, the index will be retired in March 2020.

• Carcase Plus will be replaced with the Terminal Carcase Production index. To assist in the transition between indexes both Carcase Plus and Terminal Carcase Production will be available for the 2019 ram buying season.

• The Terminal Carcase Production (TCP) index will give similar improvements in growth and lean meat yield as Carcase Plus while also maintaining eating quality.

Percentile band range graphic for TCP index 2018 drop animals

110100 120 130 140 150 160 170

Bottom

10%Bottom

1%Percentileband

TCP indexcut-off points

TCP index

Bottom

25%Bottom

50%

129.2 135.550% mark

141.8 147.5 150.6 156.2123.3120.1113.9

Bottom

5%Top

50%Top

25%Top

10%Top

5%Top

1%

More information 02 8055 1818 [email protected] www.sheepgenetics.org.au

123

120 140 160 180 200

Bottom10%

137 Top50%

128Bottom

20%

143 Top20%

147Top10%

159

120 140 160 180 200

Bottom10%

191 Top50%

170Bottom

20%

209 Top20%

213Top10%

Comparison of TCP and Carcase Plus index values for significant percentiles for 2018 drop animals

Factsheet current as at August 2019

www.sheepgenetics.org.au

www.sheepgenetics.org.au

Percentile ReportAnalysis TERMINAL Dated 1/09/2020

Animals born in 2019 Count 124306Bwt Wwt PWwt Ywt Pfat Yfat Pemd Yemd Ysc Hsc Pfec Yfec MWwt NLW LMY IMF Dress ShrF5 LEQ MCP EQ

Band kg kg kg kg mm mm mm mm cm cm % % kg % % % % N TCP Trade$ SRC Export$0 -0.93 15.1 23.1 23.7 3.3 4.2 6.6 5.9 6.1 5.0 -82 -77 10.2 21 7.2 2.3 4.3 -8.5 178.6 177.7 117.9 175.4 158.8 172.6 118.41 -0.54 12.3 19.1 19.6 0.9 0.9 4.0 3.8 5.2 4.5 -62 -59 6.2 14 5.3 0.3 3.3 -2.8 157.7 156.5 115.4 160.6 150.3 154.5 114.52 -0.49 12.0 18.6 19.0 0.7 0.7 3.7 3.5 5.1 4.4 -58 -56 5.4 13 5.0 0.1 3.2 -2.0 155.7 153.7 114.9 158.5 148.9 151.9 113.83 -0.45 11.8 18.3 18.7 0.6 0.6 3.5 3.3 5.0 4.3 -56 -53 4.9 12 4.8 0.1 3.1 -1.6 154.3 151.6 114.7 157.2 147.9 150.2 113.44 -0.41 11.6 18.0 18.4 0.5 0.5 3.4 3.2 4.9 4.2 -55 -52 4.6 11 4.7 0.0 3.0 -1.2 153.2 150.0 114.5 156.2 147.2 148.8 113.15 -0.37 11.5 17.8 18.2 0.4 0.4 3.3 3.1 4.9 4.2 -53 -50 4.4 11 4.6 0.0 3.0 -0.9 152.3 148.8 114.3 155.4 146.6 147.6 112.8

10 0.02 11.0 17.1 17.5 0.2 0.2 2.9 2.7 4.7 4.0 -49 -46 3.9 10 4.3 -0.2 2.7 -0.1 148.9 144.1 113.7 152.5 144.5 143.4 111.915 0.14 10.7 16.5 16.9 0.1 0.0 2.7 2.4 4.6 4.0 -45 -42 3.6 9 4.1 -0.2 2.6 0.5 146.6 141.0 113.2 150.6 143.1 140.5 111.220 0.19 10.4 16.1 16.5 0.0 -0.1 2.5 2.2 4.5 3.9 -42 -39 3.4 8 3.9 -0.3 2.5 0.9 144.6 138.7 112.8 148.9 141.9 138.2 110.625 0.23 10.2 15.7 16.1 -0.1 -0.2 2.3 2.1 4.4 3.8 -40 -36 3.3 7 3.8 -0.3 2.4 1.2 142.8 136.7 112.4 147.4 140.8 136.3 110.130 0.26 10.0 15.4 15.8 -0.2 -0.3 2.2 1.9 4.3 3.7 -37 -34 3.1 7 3.6 -0.4 2.3 1.6 141.3 135.0 112.1 146.0 139.8 134.6 109.635 0.29 9.8 15.0 15.5 -0.3 -0.4 2.0 1.8 4.2 3.7 -34 -31 3.0 6 3.5 -0.4 2.2 1.9 139.9 133.4 111.7 144.7 138.8 133.0 109.140 0.31 9.6 14.7 15.2 -0.3 -0.4 1.9 1.6 4.1 3.6 -32 -29 2.9 6 3.4 -0.4 2.1 2.2 138.6 131.9 111.3 143.4 137.9 131.6 108.645 0.33 9.4 14.4 14.9 -0.4 -0.5 1.8 1.5 4.1 3.6 -29 -26 2.8 5 3.2 -0.5 2.0 2.6 137.3 130.6 110.9 142.0 136.9 130.3 108.050 0.35 9.2 14.0 14.5 -0.5 -0.6 1.7 1.4 4.0 3.5 -27 -24 2.6 5 3.1 -0.5 1.9 2.9 136.1 129.3 110.4 140.7 135.8 128.9 107.555 0.37 8.9 13.6 14.2 -0.5 -0.6 1.5 1.3 3.9 3.5 -25 -22 2.5 4 3.0 -0.5 1.8 3.2 134.8 128.1 110.0 139.2 134.7 127.7 106.960 0.39 8.7 13.2 13.8 -0.6 -0.7 1.4 1.2 3.8 3.4 -22 -19 2.4 4 2.8 -0.6 1.7 3.6 133.6 126.9 109.5 137.6 133.5 126.5 106.265 0.41 8.4 12.8 13.4 -0.6 -0.8 1.3 1.1 3.7 3.3 -20 -16 2.3 3 2.7 -0.6 1.6 3.9 132.3 125.6 109.0 136.0 132.0 125.3 105.570 0.43 8.1 12.3 12.9 -0.7 -0.9 1.2 0.9 3.6 3.2 -17 -14 2.1 3 2.5 -0.7 1.5 4.4 131.0 124.3 108.6 134.2 130.5 124.0 104.675 0.45 7.7 11.7 12.2 -0.8 -0.9 1.0 0.8 3.5 3.1 -14 -10 1.9 2 2.3 -0.7 1.4 4.8 129.5 123.0 108.1 132.3 128.7 122.7 103.780 0.48 7.3 11.0 11.4 -0.9 -1.0 0.9 0.7 3.4 3.0 -11 -6 1.7 1 2.0 -0.7 1.3 5.3 128.0 121.6 107.5 130.3 126.8 121.3 102.585 0.50 6.7 10.1 10.4 -0.9 -1.1 0.7 0.5 3.2 2.8 -7 -2 1.5 1 1.7 -0.8 1.2 5.8 126.0 120.0 106.9 128.0 124.5 119.6 101.090 0.54 6.1 9.2 9.0 -1.1 -1.2 0.5 0.3 2.8 2.2 -1 4 1.2 0 1.3 -0.9 1.1 6.4 123.5 117.9 106.2 125.1 122.0 117.6 99.195 0.59 5.1 8.0 7.4 -1.2 -1.4 0.2 0.0 2.3 1.7 8 13 0.8 -2 0.8 -1.0 0.9 7.2 119.5 114.6 104.8 120.6 118.9 114.4 95.896 0.60 4.9 7.7 7.0 -1.3 -1.4 0.1 -0.1 2.2 1.6 12 16 0.6 -3 0.6 -1.0 0.8 7.5 118.2 113.5 104.3 119.3 118.1 113.2 94.797 0.62 4.6 7.3 6.5 -1.4 -1.5 0.0 -0.2 2.0 1.4 15 19 0.4 -3 0.4 -1.1 0.7 7.8 116.6 111.9 103.6 117.8 117.2 111.7 93.298 0.65 4.2 6.8 6.0 -1.4 -1.6 -0.1 -0.3 1.9 1.2 19 23 0.2 -4 0.2 -1.1 0.6 8.2 114.2 109.7 102.7 116.1 115.9 109.4 91.199 0.69 3.6 6.1 5.1 -1.6 -1.7 -0.3 -0.6 1.6 0.8 26 31 -0.3 -5 -0.2 -1.2 0.5 8.7 109.8 105.9 100.8 113.2 113.9 105.7 86.8

100 1.13 -1.9 -3.0 -1.8 -2.9 -2.9 -1.8 -2.3 0.0 0.3 112 95 -2.8 -15 -2.9 -2.1 -0.8 13.4 88.4 89.1 74.3 90.1 92.9 88.9 1.0

ASBV and INDEX Percentile Band Table

MERINO

YFD YCFW YDCV YSS NLW YSC YWEC PWT YWT YFAT YEMDU % % Nktex % cm % kg kg mm mm

Top value -6 52.6 -4.4 12.2 23% 6.5 -89 14.6 17.9 3 4.9 213 228 243

Top 1% -3.1 35.8 -2.5 6.7 14% 4.7 -70 9.4 12.2 1.9 3 175 191 195

Top 5% -2.4 30.4 -2 4.6 10% 3.9 -54 7.6 10.2 1.4 2.3 162 177 180

Top 10% -2.1 27.4 -1.7 3.6 8% 3.3 -46 6.7 9.1 1.1 1.9 156 170 172

Top 20% -1.7 23.9 -1.4 2.5 6% 2.8 -35 5.6 7.7 0.7 1.3 149 162 163

Top 30% -1.4 21.4 -1.1 1.7 4% 2.4 -27 4.8 6.8 0.5 0.9 145 156 157

Top 40% -1.2 19.2 -0.9 1.1 3% 2.1 -19 4.2 5.9 0.3 0.6 141 151 152

Top 50% -1 17.1 -0.7 0.5 1% 1.8 -12 3.5 5.2 0.1 0.3 137 146 147

Top 60% -0.8 15 -0.5 -0.2 0% 1.5 -5 2.9 4.4 -0.1 0.1 134 142 143

Top 70% -0.6 12.6 -0.2 -0.8 -1% 1.2 2 2.2 3.6 -0.3 -0.2 130 137 138

Top 80% -0.3 9.8 0.1 -1.6 -3% 0.8 12 1.4 2.6 -0.5 -0.5 125 131 132

Top 90% 0.2 5.7 0.5 -2.8 -5% 0.4 27 0.2 1.3 -0.8 -0.9 118 123 124

Bottom val 4.2 -37.1 4.1 -11.6 -42% -2.9 138 -7.8 -7.8 -3 -4 24 35 3

DP+MP+FP+

WOOLUMBOOLPHIL CLOTHIER16-2248

Analysis : TERMINAL - 16 Dated :

Bwt Wwt Pwwt Pfat Pemd TCP LEQ Counts2011 0.36 7.00 10.33 -0.82 0.99 123.3 116.9 484992012 0.36 7.25 10.71 -0.81 1.11 124.8 118.3 482772013 0.37 7.53 11.19 -0.78 1.21 126.2 119.4 473462014 0.37 7.83 11.64 -0.76 1.30 127.5 120.6 472052015 0.39 8.10 12.06 -0.70 1.43 128.9 121.9 480892016 0.39 8.42 12.60 -0.69 1.53 130.7 123.5 474222017 0.39 8.70 13.08 -0.65 1.69 132.7 125.3 489172018 0.39 8.98 13.48 -0.62 1.79 134.4 127.0 460782019 0.40 9.26 13.95 -0.57 1.95 136.2 128.7 426282020 0.41 9.59 14.52 -0.57 2.17 139.5 131.9 11065

Bwt Wwt Pwwt Pfat Pemd TCP LEQ Counts2011 0.41 7.51 11.32 -0.58 1.57 126.7 119.8 3422012 0.42 7.93 11.85 -0.71 1.70 129.2 122.8 2822013 0.42 7.86 12.10 -0.44 1.82 130.1 125.2 342 Linkage Summary2014 0.34 8.41 12.77 -0.60 2.15 133.4 126.7 2872015 0.37 8.65 13.04 -0.41 2.15 132.9 126.4 289 Weights Yes2016 0.37 9.15 13.82 -0.36 2.31 135.8 129.4 361 Carcase Yes2017 0.37 9.22 14.46 -0.47 2.51 139.8 132.7 316 WEC Yes2018 0.36 9.30 14.47 -0.30 2.55 142.4 138.0 378 Reproduction Yes2019 0.32 9.34 14.81 -0.33 3.18 149.3 145.7 363 Site Code 1622482020 0

Reports are prepared using data supplied by breeders and/or accredited operators for the analysis. SheepGenetics cannot guarantee the accuracy of this data. ASBV's are designed to estimate genetic merit of animals from the data supplied. Reports are provided to assist breeders but no liability is accepted for the outcome resulting from the use of this information.

WOOLUMBOOL 16-2248

15 August 2020

WOOLUMBOOL 16-2248

TERMINAL - 16

20-August-2020

Weaning Weight averages by year

02468

1012

2010 2012 2014 2016 2018 2020

TERMINAL - 16 WOOLUMBOOL 16-2248 TERMINAL

Post Weaning Weight averages by year

0

5

10

15

20

2010 2012 2014 2016 2018 2020


Post Weaning Fat averages by year

-1.0

-0.8

-0.6

-0.4

-0.2

0.0

2010 2012 2014 2016 2018 2020


Post Weaning Emd averages by year

0.00.51.01.52.02.53.03.5

2010 2012 2014 2016 2018 2020


LEQ index averages by year

90

110

130

150

2010 2012 2014 2016 2018 2020


Birth Weight averages by year

0.00.10.20.30.40.5

2010 2012 2014 2016 2018 2020


TCP index averages by year

90

110

130

150

170

2010 2012 2014 2016 2018 2020


WOOLUMBOOLPHIL CLOTHIER23-0026

Analysis : TERMINAL - 23 Dated :

Bwt Wwt Pwwt Pfat Pemd TCP LEQ Counts2011 0.30 7.15 11.14 -0.56 0.67 125.8 122.5 482692012 0.30 7.47 11.60 -0.56 0.78 127.1 123.4 484002013 0.31 7.81 12.13 -0.55 0.89 128.8 124.7 466792014 0.31 8.14 12.64 -0.53 1.04 130.5 126.1 450232015 0.31 8.42 13.08 -0.51 1.17 131.8 127.2 472052016 0.31 8.74 13.60 -0.48 1.30 133.5 128.7 483052017 0.32 9.09 14.17 -0.44 1.47 135.6 130.9 543792018 0.33 9.38 14.64 -0.42 1.62 137.8 132.8 516592019 0.34 9.68 15.11 -0.38 1.75 139.9 135.1 490092020 0.33 10.06 15.82 -0.22 2.11 144.1 139.7 11796

Bwt Wwt Pwwt Pfat Pemd TCP LEQ Counts2011 0.23 7.56 12.19 -0.55 1.13 131.6 130.2 3662012 0.23 8.01 12.62 -0.26 1.62 134.7 132.3 3502013 0.23 8.15 12.92 -0.15 1.72 135.5 133.9 350 Linkage Summary2014 0.26 8.75 13.93 -0.48 1.56 133.3 130.6 3192015 0.26 8.88 14.09 -0.14 2.08 138.5 136.7 259 Weights Yes2016 0.19 9.07 14.60 -0.17 2.23 140.0 136.6 355 Carcase Yes2017 0.24 9.33 15.12 -0.11 2.35 141.5 139.0 405 WEC Yes2018 0.30 9.68 15.57 0.00 2.65 147.6 148.6 359 Reproduction Yes2019 0.33 10.05 16.30 0.13 2.78 152.5 155.0 333 Site Code 2300262020 0

Reports are prepared using data supplied by breeders and/or accredited operators for the analysis. SheepGenetics cannot guarantee the accuracy of this data. ASBV's are designed to estimate genetic merit of animals from the data supplied. Reports are provided to assist breeders but no liability is accepted for the outcome resulting from the use of this information.

WOOLUMBOOL 23-0026

15 August 2020

WOOLUMBOOL 23-0026

TERMINAL - 23

20-August-2020

Weaning Weight averages by year

02468

1012

2010 2012 2014 2016 2018 2020


Post Weaning Weight averages by year

0

5

10

15

20

2010 2012 2014 2016 2018 2020


Post Weaning Fat averages by year

-0.8

-0.6

-0.4

-0.2

0.0

0.2

2010 2012 2014 2016 2018 2020


Post Weaning Emd averages by year

0.0

0.5

1.0

1.5

2.0

2.5

3.0

2010 2012 2014 2016 2018 2020


LEQ index averages by year

90

110

130

150

170

2010 2012 2014 2016 2018 2020


Birth Weight averages by year

0.00.10.20.30.4

2010 2012 2014 2016 2018 2020


TCP index averages by year

90

110

130

150

170

2010 2012 2014 2016 2018 2020


WOOLUMBOOLPHIL CLOTHIER60-1429 Analysis : MERINO Analysis dated : 21-Jun-20

WOOLUMBOOL 60-1429 Ywt Yfd Ycfw% Yfdcv% Ysl Yss Nlw% Ywec% Ywt Yfat Yemd DP+ MP+ FP+ Counts

2010 02011 3.5 -1.0 17.6 -0.9 4.9 1.1 -0.5 -45 3.5 0.02 0.83 146.2 146.1 140.4 1002012 3.3 -1.5 18.1 -0.5 5.3 0.8 -5.8 -45 3.3 0.07 0.80 142.2 147.1 145.2 712013 3.6 -1.3 19.0 -1.3 6.3 1.6 -3.5 -42 3.6 0.02 0.60 143.7 149.0 145.6 1162014 4.2 -1.2 18.9 -1.3 6.5 1.8 -0.8 -48 4.2 0.11 0.76 151.2 152.9 145.9 992015 4.1 -1.1 21.8 -1.3 6.8 2.5 -0.7 -48 4.1 0.17 0.49 154.2 157.6 151.0 662016 6.6 -1.3 19.8 -1.6 5.5 2.2 2.8 -51 6.6 0.12 0.57 166.1 165.2 157.0 982017 5.1 -1.3 21.9 -1.4 8.1 1.7 -0.7 -34 5.1 0.21 0.51 156.6 159.4 151.8 1192018 4.4 -1.3 22.0 -1.6 8.6 2.7 0.3 -49 4.4 0.18 0.80 161.1 162.6 156.2 1052019 6.3 -1.5 23.5 -1.3 8.1 1.2 0.9 -41 6.3 0.27 0.61 166.4 167.5 158.1 121

Medium/StrongYwt Yfd Ycfw% Yfdcv% Ysl Yss Nlw% Ywec% Ywt Yfat Yemd DP+ MP+ FP+ Counts

2010 4.6 -0.5 10.0 -0.7 8.9 0.3 0.8 -11 4.6 0.24 0.58 132.4 127.3 120.1 234932011 4.5 -0.4 9.3 -0.8 9.1 0.4 0.5 -17 4.5 0.31 0.67 131.0 125.4 118.9 31011 Linkage2012 4.5 -0.6 10.3 -0.7 8.6 0.4 0.3 -19 4.5 0.23 0.59 133.3 128.9 122.4 37510 Fleece Yes2013 4.4 -0.6 10.5 -0.7 8.1 0.5 0.1 -8 4.4 0.20 0.52 134.1 130.4 124.0 42114 Wts Yes2014 4.4 -0.7 11.1 -0.7 8.1 0.4 0.4 -7 4.4 0.20 0.52 135.4 131.8 124.9 47467 Carcase Yes2015 4.6 -0.6 12.2 -0.7 8.7 0.5 0.0 -7 4.6 0.24 0.59 137.0 133.0 125.3 46482 Wec Yes2016 4.6 -0.6 12.7 -0.7 8.7 0.5 -0.2 -9 4.6 0.21 0.56 137.4 133.8 126.1 45421 Reproduction Yes2017 5.1 -0.6 14.2 -0.7 9.0 0.4 -0.4 -8 5.1 0.22 0.55 139.9 136.5 127.8 49938 Genetic Group Yes2018 5.3 -0.6 14.6 -0.7 9.1 0.5 0.2 -2 5.3 0.23 0.57 142.5 138.4 129.0 490852019 6.0 -0.6 17.2 -0.8 9.8 0.5 0.4 0 6.0 0.29 0.53 147.6 143.7 132.5 34110

Reports are prepared using data supplied by breeders and/or accredited operators. We cannot guarantee the accuracy of this data. ASBV's are designed to estimate genetic merit of animals from the data supplied. The reports are provided to assist breeders but no liability is accepted for the outcome resulting from the use of this information.

MP+ Index averages by year

80

100

120

140

160

180

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

MERINO WOOLUMBOOL 60-1429 Medium/Strong

12 Month WEC averages by year

-60-50-40-30-20-10

010

2009 2011 2013 2015 2017 2019


12 Month Weight averages by year

0.01.02.03.04.05.06.07.0

2009 2011 2013 2015 2017 2019


12 Month Fibre Diameter averages by year

-2.0

-1.5

-1.0

-0.5

0.0

2009 2011 2013 2015 2017 2019


12 Month Fibre Diameter CV averages by year

-2.0

-1.5

-1.0

-0.5

0.0

2009 2011 2013 2015 2017 2019


12 Month Clean Fleece Weight averages by year

0

5

10

15

20

25

2009 2011 2013 2015 2017 2019


DP+ Index averages by year

80

100

120

140

160

180

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019


12 Month Staple Strength averages by year

0.00.51.01.52.02.53.0

2009 2011 2013 2015 2017 2019


NLW averages by year

-8.0%

-6.0%

-4.0%

-2.0%

0.0%

2.0%

4.0%

2009 2011 2013 2015 2017 2019


12 Month EMD averages by year

0.0

0.2

0.4

0.6

0.8

1.0

2009 2011 2013 2015 2017 2019


Total animals by drop

0

20

40

60

80

100

120

140

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

WOOLUMBOOL 60-1429

FP+ Index averages by year

80

100

120

140

160

180

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019


1 196407 Spring 2 0.45 10.3 16.8 19.4 0 3.37 -24 159 156 4.1 -0.3 1.5

2 196238 Spring 2 0.47 9.8 15.3 20.2 -0.4 2.9 -68 151 151 4 -0.4 1.1

3 196242 Spring 2 0.34 10.5 16.7 20.0 -0.8 3.6 -45 159 156 5.1 -0.5 3.5

4 196235 Spring 1 0.29 9.9 15.9 18.3 0.4 5.0 -44 160 156 4.4 -0.6 1.8

5 196668 Spring 2 0.64 12.3 19.7 21.2 0.2 2.8 -38 162 162 3.3 -0.2 -1.5

6 196590 Winter 1 0.39 10.9 16.5 18.2 -1.1 2.0 -43 156 157 3.9 -0.2 -1.4

7 196824 Spring 1 0.44 10.6 16.3 17.7 0.1 3.3 -52 160 164 3 0.1 -2

8 196813 Spring 2 0.51 11.5 17.9 19.7 -0.2 2.8 -22 159 158 3.7 -0.2 -1.1

9 196703 Spring 1 0.41 11.3 17.9 18.2 0.4 3.3 -36 164 168 2.9 0.2 -3.6

10 196796 Spring 2 0.4 11.4 19 20.3 -0.4 2.3 -57 159 164 3.7 0.1 -1.4

11 196726 Spring 2 0.3 10.5 17.2 17 -0.6 2.6 -66 165 168 4.1 -0.2 -3.8

12 196857 Spring 1 0.39 11.0 17.1 18.7 0.4 2.4 -63 155 164 2.4 0.4 -3.6

13 196830 Spring 2 0.27 10.0 16.6 16.7 0.7 3.8 -59 162 170 2.6 0.3 -4.3

14 196720 Spring 3 0.57 11.7 18 19.2 -0.6 2.0 -53 159 162 3.8 -0.1 -1.7

AWT

AWT

4 ELITE POLL DORSET RAMS

NOTE:Any ram throughout the catalogue requiring stud registration will be priced at $2000 if not achieving this at auction

LEQ

Bold print represents top 20% SGA AnalysisShaded boxes represent top 10% SGA Terminal Analysis

10 ELITE WHITE SUFFOLK RAMS

PWEC

LMY IMFBorn

Tag ID Born

Eating Quality Traits

Lot BWT WWTTag ID BT PWEC

Lot


Purchaser/PriceSF5PWT PFAT PEMD

PFAT PEMDBT TCP LEQ LMYBWT WWT PWT SF5 Purchaser/Price

TCP

IMF

15 196166 Winter 1 0.38 9.7 16.1 20.4 -1.1 1.9 -34 146 142 4.2 -0.5 3.8

16 196156 Winter 1 0.47 11.5 17.4 22.7 -0.8 3.9 -40 162 152 5.7 -1.1 3.5

17 196220 Winter 1 0.39 9.5 15.2 20.4 -0.7 2.5 -19 142 135 3.9 -0.7 5.4

18 196174 Winter 1 0.14 9.8 15.3 18.8 -0.4 2.2 -25 146 143 3.5 -0.4 3.1

19 196216 Winter 1 0.4 10.9 17.7 21 -1.2 3.2 -26 159 153 5.2 -0.6 3.8

20 196183 Winter 2 0.12 9.8 14.7 19.1 0.2 3.1 -8 145 141 3.4 -0.4 2.9

21 196161 Winter 2 0.12 8.5 14.6 17.3 -0.2 3.4 -4 149 144 4 -0.3 2

22 196177 Winter 2 0 8.9 14.3 17.8 -0.2 2.9 -19 146 142 3.4 -0.4 2.7

23 196179 Winter 2 0.35 8.9 14.2 17 -0.7 1.9 4 139 133 3.3 -0.4 4

24 196223 Autunm 2 0.45 9.6 15.4 18.9 -0.4 3.1 -28 148 140 4 -0.8 3.7

25 196198 Winter 3 0.33 10.6 17.2 21 -0.8 2.7 -2 150 143 4.5 -0.6 4.9

26 196222 Winter 1 0.48 9.6 14.9 18.2 -0.2 4.0 -26 157 152 4.1 -0.5 0.4

27 196170 Winter 1 0.22 9.0 14.4 19.6 0.4 4.0 -33 154 152 3.3 -0.4 0.2

28 196178 Winter 2 -0 8.6 13.5 17 -0.1 3.0 -23 144 141 3.2 -0.4 2.6

29 196169 Winter 1 0.22 10.3 16.4 19 -0.9 2.0 -16 147 141 4.3 -0.5 3.8

30 196211 Winter 1 0.25 9.2 14.4 17.5 -0.5 3.6 -41 146 140 4.2 -0.8 4.8

31 196266 Spring 1 0.3 10.4 16.2 19.2 -0.7 2.3 -66 148 146 4.1 -0.6 4.6

32 196195 Winter 2 0.3 10.1 15.8 18.1 -1.4 2.8 -37 151 147 5.2 -0.6 5.3

33 196188 Winter 1 0.51 9.8 15.4 18.8 0.0 3.4 -6 151 147 3.6 -0.3 1.8

34 196160 Winter 2 0.11 7.8 13 15.8 -0.2 3.5 -14 145 142 3.7 -0.3 1.8

35 196185 Winter 1 0.41 9.8 15.4 18.3 -0.4 3.6 -33 152 148 4.3 -0.5 3.2

36 196246 Spring 1 0.41 10.3 16.1 20.5 -0.5 2.5 -74 148 149 3.8 -0.4 2.4

37 196158 Winter 2 0.43 9.6 14.9 19.8 -0.8 2.8 -33 149 145 3.6 -0.5 2.3

38 196243 Spring 2 0.32 10.4 16 18.6 -0.6 3.7 -39 158 154 5.1 -0.6 3.3

AWT

Bold print represents top 20% SGA Analysis

Born BT PWECLot BWT WWT PWT PFAT PEMD

40 POLL DORSET FLOCK RAMS

Tag ID


TCP LEQ LMY IMF SF5 Purchaser/Price

Shaded boxes represent top 10% SGA Terminal Analysis

39 196268 Spring 1 0.49 10.7 16 19.5 -1.2 2.0 -33 147 142 4.3 -0.7 4.4

40 196346 Spring 1 0.34 9.8 14.8 18.8 -0.7 2.2 -56 143 142 3.8 -0.5 3.1

41 196416 Spring 1 0.51 10.8 17.8 21 -0.4 2.9 -42 157 155 4.2 -0.4 0.8

42 196172 Winter 1 0.36 11.0 17 18.5 -1.2 4.2 -10 159 148 6.3 -1.0 6.9

43 196325 Spring 1 0.5 11.5 17.8 24 -0.9 2.9 -52 153 148 4.6 -0.7 4.5

44 196303 Spring 2 0.45 9.6 14.3 18.4 -0.4 3.0 -72 146 146 3.5 -0.5 3.3

45 196326 Spring 2 0.4 10.7 16.7 20.4 -0.8 2.5 -58 149 147 4.4 -0.6 3.3

46 196365 Spring 2 0.45 10.8 17.3 21.3 -1.2 2.2 -58 153 153 4.7 -0.4 2.2

47 196511 Spring 1 0.35 10.1 15.9 21.1 -0.6 2.6 -62 148 147 4 -0.4 2.6

48 196488 Spring 2 0.35 9.4 14.6 18 -0.7 2.7 -33 146 141 3.9 -0.6 4.7

49 196350 Spring 2 0.32 10.1 16.4 20.2 -0.1 3.1 -57 153 154 3.4 -0.3 1.6

50 196328 Spring 2 0.33 11.5 18.3 21.8 -0.7 2.5 -50 151 149 4.5 -0.5 3.6

51 196227 Spring 2 0.28 11.2 16.9 20.3 -1.0 2.4 -56 151 149 4.8 -0.5 3.5

52 196215 Winter 3 -0 8.8 13.9 18 -0.7 3.0 -9 149 145 3.9 -0.4 2.3

53 196162 Winter 2 0.21 9.6 14.6 19.1 0.2 4.6 -30 157 150 4 -0.7 1.3

54 196203 Winter 2 0.39 9.6 15.1 18.9 -0.2 3.3 2 147 140 4 -0.5 3.8Shaded boxes represent top 10% SGA Terminal Analysis

AWTBorn IMF



Lot BT BWT WWT PWT PFAT PEMD PWECTag ID SF5 Purchaser/PriceTCP LEQ LMY


55 196573 Winter 1 0.48 12.2 19.6 23.1 0.6 3.5 -54 157 155 3.3 -0.5 1.6

56 196598 Winter 1 0.17 9.3 15.2 16.7 -0.2 3.5 -17 149 142 3.8 -0.7 2.2

57 196552 Winter 2 0.35 10.5 17.6 20.1 0.6 3.0 -50 152 152 2.8 -0.3 -0.5

58 196587 Winter 2 0.22 10.5 17.4 18.3 0.2 3.5 -20 154 149 3.7 -0.4 1.5

59 196663 Spring 2 0.62 11.8 17.9 19.3 -0.6 1.6 -76 150 151 3.6 -0.3 2

60 196557 Winter 1 0.58 11.6 19.1 19.7 -0.9 2.5 -35 158 153 4.9 -0.7 1.9

61 196584 Winter 2 0.14 10.2 16.9 17.7 0.5 3.5 -42 155 156 2.7 -0.2 -0.8

62 196602 Winter 2 0.27 9.5 15.9 16.8 0.1 2.7 -34 152 154 3 0.0 -1.4

63 196578 Winter 1 0.4 10.9 16.7 20.8 0.2 2.5 -38 151 151 2.5 -0.2 -0.4

64 196585 Winter 2 0.24 8.7 14.8 15.1 0.1 3.6 -43 158 162 2.8 0.0 -3.3

65 196554 Winter 1 0.15 10.5 17.9 18.4 -0.3 3.0 -43 154 153 4.1 -0.4 1.7

66 196558 Winter 1 0.38 10.1 16.8 19 0.5 2.7 -41 153 152 2.1 -0.3 -1.6

67 196654 Spring 2 0.59 12.9 20.3 23.4 -0.4 2.3 -26 161 162 3.9 0.0 0

68 196571 Winter 2 0.41 8.9 14.1 12.2 0.8 3.7 -49 154 161 2.3 0.3 -3.5

69 196556 Winter 1 0.21 10.1 15.8 16.7 0.2 3.0 -40 143 143 3.5 -0.3 4.2

70 196581 Winter 3 0.38 11.0 17.5 20.2 -0.1 3.4 -33 157 153 4.1 -0.5 1.7

71 196567 Winter 2 0.31 10.3 16.7 17.3 0.6 2.9 -32 155 155 2.3 -0.1 -2

72 196555 Winter 1 0.05 10.0 16 17.3 0.3 3.7 -13 150 146 3.5 -0.4 2.1

73 196592 Winter 2 0.2 10.6 17.3 18.4 0.1 3.5 -45 154 153 3.8 -0.4 1.2

74 196866 Spring 1 0.55 12.1 18.4 19.4 0.1 2.6 -50 159 164 3.3 0.2 -2.1

75 196579 Winter 3 0.37 11.3 18 20.9 0.0 3.2 -38 156 154 3.9 -0.4 1.7

76 196608 Spring 1 0.39 10.9 16.9 18.2 -0.4 1.9 -64 150 153 3.3 -0.1 -0.1

77 196732 Spring 2 0.53 12.1 18.2 18.7 -0.4 2.6 -62 155 157 4 -0.2 1.1

78 196604 Winter 2 0.37 9.8 16.6 19.8 0.6 2.6 -40 151 151 1.9 -0.1 -1.4Shaded boxes represent top 10% SGA Terminal Analysis

AWT


Born BT TCP LEQ LMY IMF

40 WHITE SUFFOLK FLOCK RAMS

Tag IDLot


PFAT PEMD PWEC SF5 Purchaser/PriceBWT WWT PWT

79 196562 Winter 1 0.39 11.7 19 20.9 -0.1 3.0 -47 157 155 4.1 -0.5 2.9

80 196574 Winter 2 0.3 11.4 17.3 20.2 -0.5 2.4 -21 146 143 3.7 -0.4 3.4

81 196766 Spring 2 0.41 11.2 17.8 20 -0.2 2.0 -66 148 148 3.3 -0.4 2

82 196595 Winter 2 0.41 11.3 17.5 18.7 -0.1 2.0 -43 149 153 3 0.2 0.4

83 196756 Spring 2 0.34 11.9 17.7 20.2 -0.9 1.8 -35 151 151 3.7 -0.2 1.5

84 196582 Winter 2 0.35 8.7 14.2 14.6 0.8 3.1 -56 147 153 1.8 0.2 -1.6

85 196630 Spring 1 0.35 10.5 16.2 16.9 -0.1 2.6 -63 154 159 3 0.1 -1.6

86 196784 Spring 2 0.49 11.2 17.2 18.5 -0.3 2.3 -18 155 155 3.4 -0.1 -1.6

87 196705 Spring 1 0.43 11.1 17.5 18.5 -0.2 2.1 -43 155 157 3 0.0 -1.8

88 196773 Spring 2 0.28 9.9 16.2 17.5 -0.3 2.3 -62 151 153 3.3 -0.2 -0.6

89 196649 Spring 2 0.28 10.8 17.4 20.6 0.1 2.9 -47 153 154 3.2 -0.2 0.3

90 196639 Spring 2 0.44 11.5 18.4 20.9 -0.1 2.6 -68 155 158 3.4 -0.2 0

91 196551 Winter 1 0.31 11.3 18.1 20.2 0.0 2.1 -50 149 153 3.2 0.0 0.7

92 196656 Spring 3 0.42 11.3 17.6 20.4 0.0 2.7 -34 155 157 3 0.0 -0.4

93 196704 Spring 1 0.26 9.9 15.6 17.4 -0.2 2.6 -58 147 147 3.4 -0.3 1.6

94 196596 Winter 1 0.18 10.8 17.6 19.4 0.3 4.0 -41 155 152 4.1 -0.4 2.9Shaded boxes represent top 10% SGA Terminal Analysis

95 190005 Winter 2 0.43 9.2 14.7 15.1 0.43 2.61 - 150 151 2.3 0.1 -3.5

96 190011 Winter 2 0.19 10.0 15.8 17.2 0 2.82 - 151 150 3 0.0 -0.3

97 190015 Winter 2 0.28 8.4 13.9 13.6 0.49 2.69 - 150 151 1.9 0.1 -4.4

98 190027 Winter 2 0.24 9.6 15.4 18.5 0.03 2.29 - 141 135 3 -0.5 2.7Shaded boxes represent top 10% SGA Terminal Analysis

AWT

AWT


BWT PEMDTag ID PFATWWT LMY



IMFPWTLot SF5 Purchaser/Price


Born BT PWEC


TCP LEQ


Lot Tag ID Born BT BWT WWT PWT PFAT PEMD PWEC TCP LEQ IMF SF5 Purchaser/PriceLMY

99 196234 Spring 1 0.26 8.3 12.9 18.4 -0.2 3.7 -44 153 152 3.3 -0.3 -0.4

100 196364 Spring 2 0.34 10.0 17.1 20.5 -0.6 3.1 -30 152 148 4.2 -0.6 2.7

101 196377 Spring 2 0.41 10.9 16.6 20.4 -0.5 2.9 -43 150 144 4.5 -0.8 5.2

102 196282 Spring 2 0.27 8.8 14 19 0.4 3.9 -19 152 151 2.8 -0.2 0.7

103 196469 Spring 1 0.22 8.4 13.3 16.9 0.5 4.3 -56 154 154 3 -0.3 0.1

104 196231 Spring 1 0.37 10.2 16.3 19.7 -0.8 3.0 -27 150 141 4.4 -0.9 5.4

105 196349 Spring 2 0.43 10.5 16.6 19.8 -0.5 2.4 -56 148 146 4.1 -0.5 2.8

106 196362 Spring 2 0.32 10.8 17.5 20.5 -1.0 3.0 -11 155 146 5.3 -0.9 4.2

107 196493 Spring 1 0.27 7.7 12.8 17.4 0.1 4.5 -40 153 150 3.4 -0.5 1.1

108 196291 Spring 2 0.32 9.1 14.4 18.5 -0.9 2.5 -12 147 143 3.8 -0.4 1.3

109 196489 Spring 2 0.46 9.7 15.7 17.9 -0.8 2.7 -27 151 144 4.4 -0.8 4.1

110 196369 Spring 2 0.31 9.7 14.5 17.5 -0.7 3.7 -58 155 152 4.9 -0.6 2.2

111 196237 Spring 2 0.44 10.1 15.2 18.3 -1.1 2.4 -29 147 139 4.6 -0.8 5.6

112 196286 Spring 3 0.14 8.8 13.9 17.2 -0.4 3.0 -35 148 146 3.2 -0.3 2.4

113 196462 Spring 2 0.37 9.0 15 17.6 -0.4 3.3 15 151 142 3.8 -0.7 3.1

114 196230 Spring 1 0.31 8.6 14.4 18.2 0.0 4.1 -48 156 154 3.9 -0.5 1.4

115 196433 Spring 2 0.33 9.9 14.6 18.3 -1.3 2.3 -35 147 142 4.5 -0.7 3.8

116 196442 Spring 2 0.53 10.3 17.6 20.9 -0.9 2.3 -51 151 148 4.2 -0.6 2.6

117 196452 Spring 2 0.29 10.5 15.9 19.9 -0.3 2.9 -32 149 144 3.7 -0.6 4.6

118 196287 Spring 2 0.19 10.7 17.5 22 -0.6 2.6 -53 152 156 3.9 0.0 1

119 196420 Spring 2 0.17 8.5 14.3 14.3 -0.3 4.6 -49 160 158 4.7 -0.5 -0.1

120 196226 Spring 2 0.31 10.8 16.6 19.9 -0.9 2.5 -63 150 150 4.4 -0.4 3

121 196310 Spring 2 0.45 9.3 14.1 19.7 -0.4 3.4 -41 151 144 4.3 -0.8 2.9

122 196309 Spring 2 0.41 8.8 13.6 18.3 -0.5 3.9 -45 155 149 4.5 -0.7 2

123 196482 Spring 1 0.29 8.8 15.1 18.4 0.0 2.9 -45 148 150 2.9 -0.1 0.5

124 196315 Spring 2 0.44 9.8 15.6 16.9 -1.0 2.1 -41 149 147 4.3 -0.4 2.2Shaded boxes represent top 10% SGA Terminal Analysis

AWT



Tag ID BWT LMYPWT PFAT PEMD SF5WWTBorn


BT TCP LEQPWEC Purchaser/PriceIMFLot

125 196497 Spring 1 0.1 8.2 13.2 15.4 0.0 4.0 -16 154 151 3.7 -0.3 1

126 196233 Spring 1 0.27 9.1 13.9 17.2 -0.4 3.6 -46 154 150 4.1 -0.6 1.7

127 196313 Spring 2 0.47 11.1 16.3 19.3 -0.8 2.4 -46 148 143 4.4 -0.7 5.5

128 196498 Spring 1 0.3 9.1 15.6 17.7 -0.7 2.5 -38 148 145 4 -0.5 2.2

129 196269 Spring 1 0.48 10.4 16.2 20.5 -0.6 2.7 -1 148 138 3.9 -0.8 4.5

130 196384 Spring 1 0.35 9.7 15.8 19.9 -0.7 3.7 -26 157 149 4.9 -0.8 3.2

131 196495 Spring 2 0.57 11.2 17 22.3 -0.6 2.5 -11 149 139 4 -0.9 5

132 196239 Spring 2 0.33 9.1 14.3 19 -0.7 2.6 -60 150 153 3.7 -0.2 0.2

133 196473 Spring 1 0.3 8.6 13.7 15 -0.3 3.0 -60 147 145 3.2 -0.5 2.4

134 196316 Spring 2 0.36 9.0 14.5 15.6 -0.6 2.6 -52 148 148 3.8 -0.3 1.6

135 196256 Spring 2 0.38 9.2 14.3 18.9 -0.4 2.6 -57 143 142 3.5 -0.4 2.5

136 196428 Spring 2 0.19 9.4 16.2 19.8 0.2 3.7 -54 152 152 3.7 -0.3 1.5

137 196382 Spring 1 0.4 9.9 15.7 20.1 -0.6 3.0 -48 151 147 4 -0.6 1.8

138 196412 Spring 1 0.35 8.0 12.8 14.9 0.4 4.3 -31 152 149 3.3 -0.4 0.5

139 196375 Spring 2 0.13 9.2 14.3 17.4 -0.3 3.6 -68 147 144 4 -0.7 4.7

140 196393 Spring 2 0.33 8.8 14.1 15.9 0.1 3.7 -54 151 150 3.6 -0.4 2.1

141 196347 Spring 2 0.26 8.7 13.5 16.3 0.2 3.5 -45 149 146 3.4 -0.5 1.3

142 196363 Spring 2 0.4 9.5 16.5 19.7 -0.4 3.1 -15 151 146 3.8 -0.5 2.1

143 196402 Spring 2 0.14 8.7 14.8 18.9 -0.5 4.4 -35 162 156 4.6 -0.7 0.6

144 196305 Spring 2 0.37 8.7 14.4 16.8 -0.3 3.1 -55 148 147 3.9 -0.5 1.4

145 196422 Spring 2 0.34 11.4 16 20.9 -1.1 2.4 -44 147 141 4.6 -0.8 5.7

146 196335 Spring 2 0.48 10.7 16.6 19.7 -0.9 2.4 -46 149 143 4.2 -0.8 4.7

147 196395 Spring 2 0.36 9.0 14.4 18 -0.1 4.3 -14 154 146 4.1 -0.7 2.6

148 196270 Spring 1 0.34 9.3 15.4 18.4 -0.5 2.7 -40 148 146 3.7 -0.5 1.6Shaded boxes represent top 10% SGA Terminal Analysis

AWT



LMY IMFBorn BT


Lot BWT Purchaser/PriceSF5WWT PWT PFAT PEMD PWEC TCP LEQTag ID

149 196661 Spring 2 0.38 10.2 16 16.7 0.1 2.5 -45 155 159 2.7 0.1 -3.5

150 196640 Spring 2 0.42 11.2 18.2 20.7 0.2 2.8 -72 155 158 3 -0.2 -0.4

151 196647 Spring 2 0.37 11.1 17.4 19.5 0.1 2.9 -54 154 156 3.2 -0.2 -0.1

152 196572 Winter 2 0.17 7.7 12.7 11.3 1.1 4.0 -55 149 158 1.7 0.4 -3.8

153 196708 Spring 1 0.44 11.3 18 17.9 -0.5 2.2 -65 154 155 4.3 -0.3 1.7

154 196743 Spring 2 0.4 10.2 16.4 18.3 -0.1 2.5 -24 153 152 2.8 -0.1 -1.6

155 196801 Spring 2 0.38 10.3 16.7 17.4 -0.1 2.8 -46 152 150 3.6 -0.4 0.8

156 196846 Spring 2 0.45 11.4 17.8 20 -0.4 1.8 -39 148 148 3.3 -0.2 1.9

157 196782 Spring 2 0.43 10.3 16.5 17 -0.1 2.2 -58 145 146 3.2 -0.3 2.3

158 196760 Spring 2 0.34 10.6 17.3 20.7 0.6 3.2 -69 150 152 2.7 -0.3 1

159 196776 Spring 1 0.2 9.7 16.1 19.1 0.1 2.9 -30 145 143 3.1 -0.4 2

160 196737 Spring 2 0.3 10.6 16.2 17.6 0.1 2.6 -62 152 160 2.6 0.3 -1.5

161 196676 Spring 1 0.33 10.0 15.1 16.2 0.2 2.6 -62 149 155 2.6 0.1 -0.7

162 196867 Spring 1 0.28 10.8 17 17 -0.4 2.5 -36 154 155 3.6 -0.1 -0.2

163 196734 Spring 2 0.22 10.1 16.4 18 0.0 3.4 -58 157 158 3.5 -0.2 -0.4

164 196802 Spring 2 0.29 9.6 16.2 16.8 0.0 2.8 -50 151 150 3.4 -0.4 0.4

165 196788 Spring 2 0.36 10.1 15.8 16.7 0.0 2.9 -57 154 157 3.1 0.0 -1.5

166 196670 Spring 2 0.31 10.6 16.8 18.1 -0.1 3.0 -26 157 156 3.5 -0.2 -0.9

167 196860 Spring 1 0.28 9.9 16 16.6 0.1 2.6 -34 150 151 3 -0.1 0.2

168 196795 Spring 2 0.52 12.4 19.1 20.7 -1.0 1.7 -54 154 153 4.4 -0.5 2.2

169 196752 Spring 1 0.33 9.4 15.4 15 0.1 1.9 -52 144 147 2.4 -0.1 -0.5

170 196836 Spring 2 0.3 9.6 15.4 17.1 0.2 2.4 -56 150 155 2.2 0.1 -2.7

171 196755 Spring 3 0.43 10.5 16.7 18.3 -0.2 2.7 -31 154 155 3.1 -0.1 -1.7

172 196691 Spring 2 0.36 9.4 14.7 14.8 -0.3 2.4 -72 153 157 3.3 -0.1 -1.9Shaded boxes represent top 10% SGA Terminal Analysis

AWT



BWTBTBornTag IDLot Purchaser/Price


SF5IMFLMYLEQTCPPWECPEMDPFATPWTWWT

173 196816 Spring 2 0.45 9.4 15.3 15.3 0.2 2.9 -46 154 157 2.7 0.0 -2.5

174 196622 Spring 2 0.24 8.3 13.7 12.8 0.6 3.3 -58 150 154 2.5 0.0 -2.9

175 196680 Spring 2 0.44 9.7 15 16 0.6 2.7 -3 152 155 1.7 0.3 -3.9

176 196706 Spring 1 0.53 10.4 15.8 16.9 0.1 2.5 -36 151 152 2.9 0.0 -1.1

177 196874 Spring 1 0.18 8.9 14.6 15.5 0.1 2.5 -71 149 155 3 0.1 -1.7

178 196848 Spring 1 0.41 9.8 15.3 16.2 0.1 2.6 -67 151 156 2.6 0.0 -1.9

179 196674 Spring 2 0.32 10.5 17.6 18.2 -0.2 2.5 -45 154 153 3.9 -0.3 -0.1

180 196758 Spring 2 0.24 9.7 16.8 17.9 0.7 3.5 -45 152 151 2.9 -0.3 0.3

181 196779 Spring 2 0.3 8.9 14.9 15.7 0.5 2.4 -42 151 158 1.6 0.4 -4.8

182 196820 Spring 3 0.16 9.0 15.4 17 0.7 2.7 -64 145 150 1.9 0.0 -0.4

183 196699 Spring 2 0.22 9.4 15.9 18.4 0.3 3.0 -47 153 156 2.5 0.1 -2.5

184 196825 Spring 3 0.38 10.3 16.8 18.5 0.2 2.7 -41 148 147 3.2 -0.3 1.5

185 196761 Spring 2 0.31 10.5 17 20.4 0.3 3.1 -54 150 150 3.1 -0.4 1.3

186 196652 Spring 2 0.09 8.7 15 15.5 0.6 3.0 -79 150 156 2.3 0.0 -2.6

187 196832 Spring 2 0.32 10.1 16.4 16.4 0.3 3.1 -56 152 154 3.3 -0.2 -0

188 196739 Spring 2 0.3 9.2 15.8 16.9 -0.1 2.1 -49 147 149 2.6 -0.2 -0.6

189 196701 Spring 2 0.36 9.4 14.9 16.5 0.0 2.4 -74 145 149 2.7 -0.1 0.5

190 196713 Spring 2 0.33 10.8 17.3 18.7 0.1 2.2 -61 150 156 3 0.2 -0.2

191 196814 Spring 2 0.17 12.3 20 23.7 0.0 3.5 -14 163 159 4.2 -0.4 -0.5

192 196665 Spring 2 0.21 11.2 17.4 20.7 -0.1 2.6 -60 153 159 3.3 0.1 -0.2

193 196762 Spring 2 0.11 8.3 14.8 14.1 0.4 2.7 -42 145 146 2.5 -0.2 -0.2

194 196717 Spring 2 0.47 10.9 16.8 18.6 0.4 3.0 -34 154 156 2.8 0.0 -1.1

195 196797 Spring 2 0.21 8.9 14.9 13.7 0.1 2.9 -58 151 154 3 -0.2 -1

196 196651 Spring 2 0.23 8.6 14.1 14.3 0.6 2.9 -57 149 154 2.3 0.1 -2.8Shaded boxes represent top 10% SGA Terminal Analysis

AWTTag ID Born LMY IMF



Lot BWT WWT PWT PFAT PEMD PWEC TCP


BT SF5 Purchaser/PriceLEQ

197 196738 Spring 2 0.13 9.8 15.5 17.2 0.45 3.43 -70 155 163 2.4 0.2 -2.8

198 196835 Spring 2 0.23 8.4 14.1 15.5 0.44 2.69 -51 149 154 1.8 0.2 -3.6

199 196852 Spring 1 0.14 8.1 13.9 15.3 0.22 2.51 -57 145 148 2.5 -0.2 -1.9

200 196880 Spring 2 0.31 8.5 15 16 0.45 2.39 -52 148 153 1.8 0.2 -3

201 196878 Spring 1 0.31 9.8 15.9 16.2 0.3 2.75 -30 150 153 2.8 0.1 -1.1

202 196863 Spring 2 0.31 9.3 16.3 18.2 0.63 3.2 -8 153 153 2.3 0.0 -2.4

203 196871 Spring 1 0.26 8.2 14.3 15.1 0.49 3.33 -24 148 146 2.6 -0.3 -0.4

204 196853 Spring 2 0.28 8.4 14.3 14.6 0.17 2.14 -65 143 147 2.2 -0.1 -0.3

205 196819 Spring 3 0.14 8.8 15.1 16.6 0.67 2.96 -71 146 151 2 -0.1 -0.5

206 196885 Spring 1 0.34 9.5 15.7 15.7 0.34 2.69 -21 152 155 2.5 0.2 -2.9

207 196786 Spring 2 0.38 9.4 14.8 14.9 -0.1 2.36 -64 146 149 3 -0.2 -0.2

208 196805 Spring 2 0.21 7.7 13.3 14.4 0.13 2.54 -52 148 151 2.2 0.0 -3.1Shaded boxes represent top 10% SGA Terminal Analysis

60 WHITE SUFFOLK FLOCK RAMSEating Quality Traits


PWEC TCPLot Tag ID Born BT BWT WWT PWT PFAT PEMDAWT LEQ LMY IMF SF5 Purchaser/Price

209 198528 Winter 1 7.9 0.18 -0.08 34.29 -0.34 -0.34 14.06 1.45 2.14 2% 1.16 -0.15 0.02 155.8 178.6 179.4

210 198496 Winter 5 11.63 1.23 0.92 16.12 -1.14 -1.57 7.88 0.36 -63.4 10% 2.98 -0.36 -0.45 150.5 168.1 184.9

211 198516 Winter 1 6.74 1.45 1.06 21 0.15 -1.9 13.09 3.79 -60.9 0% 1.23 -0.48 -0.14 133.6 144.7 154.4

212 198476 Winter 2 9.81 0.24 0.35 26.41 -1.02 -0.85 7.61 -0.7 -57.1 3% 2.75 -0.69 -0.42 150 167.4 171.6

213 198590 Winter 2 9.31 0.9 0.55 21.67 -0.99 -1.52 7.71 0.83 -43.7 1% 2.06 -0.48 -0.12 149.8 161.3 167.3

214 198563 Winter 1 8.05 0.4 0.39 20.46 -0.95 -1.01 10.71 -0.53 -15.4 6% 2.35 -0.31 -0.33 147.4 162.5 169.5

215 198559 Winter 1 10.19 0.66 0.61 22.71 -0.32 -1.36 8.13 1.78 -28.4 8% 2.23 -0.67 -0.22 147.8 168.6 179.7

216 198531 Winter 1 7.87 0.2 0.28 21.22 -1.36 -2.18 13.12 2.79 -59.8 5% 2.18 0.29 -0.2 162 172 173.1

217 198493 Winter 2 5.78 0.89 0.73 28.31 -2.16 -0.65 7.65 -0.96 -66.6 -5% 0.73 0.91 -0.06 166.5 171.9 163.7

218 198558 Winter 1 5.51 1.21 0.05 20.5 -2.05 -1.26 5.8 0.6 -42.7 0% 0.95 0.52 -0.05 159.4 165.2 167.4

20 Merino Rams

NLW YSC EBWR LDAG FP+ MP+YCFW YFD YDCV YSL YSSYEMD Purchaser/PriceTag ID Born BT YWT YFAT YWEC DP+

Shaded boxes represent top 10% SGA Terminal Analysis Bold print represents top 20% SGA Analysis

Lot

219 198527 Winter 1 6.2 0.97 0.44 26.55 -1.35 -1.6 9.65 1.53 -41.4 3% 1.54 -0.25 -0.27 163.8 175.8 179.6

220 198550 Winter 1 7.16 0.41 0.36 26.67 -0.82 -1.33 13.38 0.6 -27.7 6% 2.01 0.07 -0.18 155.2 171.7 176.4

221 198526 Winter 1 5.93 0.16 0.31 26.67 -0.34 -1.02 18.41 0.73 -40.9 2% 1.05 -0.43 -0.17 145.8 159.8 160.6

222 198577 Winter 2 5.53 0.6 0.4 22.05 -0.74 -1.29 10.98 1 -38.1 6% 1.38 -0.04 -0.23 149.3 164 168.4

223 198576 Winter 1 7.32 -0.1 0.37 24.48 -0.68 -1.06 10.47 0.78 -22.8 4% 1.43 -0.28 -0.14 152.5 167.7 170

224 198497 Winter 5 9.58 1.87 1.03 14.46 -1.09 -1.94 5.96 1.65 -62.3 9% 2.54 -0.34 -0.44 148.5 163.4 181.9

225 198520 Winter 2 5.34 -0.38 -0.76 36.13 -1.54 -0.2 7.55 0.43 -44 -7% 0.27 0.37 -0.19 169.9 178.7 162.8

226 198581 Winter 1 7.4 0.99 0.16 12.8 -2.46 -2.68 2.73 2.53 -59.7 0% 2.57 0.34 -0.01 162.5 162.9 160.8

227 198552 Winter 1 7.89 -0.58 0.11 26.81 -0.84 -1.74 11.19 1.6 -11.4 3% 1.81 0.05 -0.07 158.2 175.2 171.4

228 198535 Winter 1 7.73 0.45 0.72 18.35 -0.87 -2.08 6.02 3.03 -43.5 10% 1.86 -0.46 -0.36 159.8 173 181.7

DP+ Purchaser/PriceYSC EBWR LDAG FP+ MP+YDCV YSL YSS YWEC NLWYWT YEMD YFAT YCFW YFD

Shaded boxes represent top 10% SGA Terminal Analysis Bold print represents top 20% SGA Analysis

20 Merino Rams

Lot Tag ID Born BT

The History Behind

Woolumbool Merinos

The Woolumbool merino flock pre-dates any of the other Woolumbool seedstock

flocks. The Clothier family have run merinos at Woolumbool since moving into the district in 1960. A little over 2 decades ago the Clothier family produced up to 300 bales annually of predominately merino wool.

During the 1970’s it was decided we would begin breeding our own merino rams

using selected ewes from the main flock. The original flock was a high micron flock based on NORTH BUNGAREE bloodlines. Once breeding our own rams we looked to introduce rams which had bright and long stapled wools to help combat at that time severe problems with fleece rot and mycotic dermatitis. We obtained genetics from a number of Riverina flocks including “WANGANELLA”, “POOGINOOK” and later from the New England area “NERSTANE”.

”HAZELDEAN” merinos were another later introduction. “MERNOWIE” merinos was one

of the few SA flocks to be introduced. These introductions generally resulted over time in improved fleece cuts of bright soft and long stapled wools which produced quite heavy cutting fleeces with improving fibre diameter reduction.

In the year 2000 we joined MERINOSELECT® and began to generate ASBV’s on the

merinos to aid in selection of young sires and replacement ewes. We had quite a bit of old data to enter which helped us to quickly guarantee accuracies.

Since joining MERINOSELECT® sires introduced via AI have to meet very high

production standards using ASBV’s. We introduced a “RYLINGTON” WA sire for his extreme resistance to internal parasites and have followed with “INGLE” WA, “ELLA MATTA” KI SA, “CALCOOKARA” SA, “CENTRE PLUS” NSW, “BILLANDRI” WA and a high performance “LEAHCIM POLL” from their JIVET program for the 2017 drop. The most recent introductions for the 2019 drop are from “YALGOO” NSW and “ANDERSON” WA.

We registered a Poll Merino Flock in 2011 and since that point in time have only used

polled rams which are verified Polled (PP) or Polled (PH) by DNA test. Any horned rams are now castrated.

WOOLUMBOOL PRODUCTION STATS Year FD GFW CFW Av Clean Price/kg

2010/11 19.3 5.43 3.75 $10.29 2011/12 20.0 7.19 4.84 $12.69 2012/13 18.9 6.32 4.12 $11.75 2013/14 17.8 4.23 2.94 $11.57 2014/15 17.4 3.70 2.48 $11.36 2015/16 17.9 5.17 3.41 $13.46 2016/17 18.0 5.28 3.55 $16.46 2017/18 19.1 5.18 3.60 $20.36 2018/19 18.1 5.42 3.65 $21.34 2019/20 17.6 4.74 2.97 $20.19

10 Yr Av 18.5 5.32 3.59 $14.36 These statistics are the total wool cut including all oddments from the Hoggets through to 4 year old ewes, wethers and rams. Our older ewes are transferred to Prime Lamb production and their statistics have not been included. Our average stocking rate is 8.3dse/Ha according to Holmes Sackett benchmarking data.

MEAT ELITE

www.meatelite.com.au

Tomorrow’s Rams Today!

Meat Elite Australia has 3 main objectives:

1. Identification of superior genetics for the Prime Lamb industry

2. Provision of accurate across flock Australian Sheep Breeding Values and other recorded data for

members and clients.

3. To identify and maximize the use of superior genes within the Meat Elite group and across the prime

lamb industry.

Meat Elite Members achieve these objectives by:

Identification of Superior Genetics

A Young Sire Progeny testing program of 10 – 15 elite Young Sires selected from approximately 5000

ram lambs are test mated across flocks in varied climatic, management and environment conditions.

Data collected including DNA, helps assess their genetic value.

Link sires are used to help calibrate YST results across regions.

Embryo transplant programs multiply high performance genetics.

Outside sires are tested under strict performance regimes to assess performance value

Meat Elite sheep regularly used in research projects to assess genetic value to advance the Australian

Lamb Industry.

Accurate Australian Sheep Breeding Values All Meat Elite Flocks aim for gold quality data

Accurate parentage, raw data and Lambplan information is the key for genetic gain.

Accurate ASBVs are seen as essential information for commercial clients.

Maximize the use of superior genes in the Lamb Industry Meat Elite flocks continue to experience increased demand for both flock and stud rams.

Meat Elite genetics utilized in cutting edge research programs.eg worm resistance.

Meat Elite ram clients can select superior performance rams to improve their profitability.

Meat Elite Studs testing for meat eating quality and tenderness to ensure product quality.

For further information visit: www.meatelite.com.au

Background: The Superwhites Breeding Group is a group of AWSA members that progeny test the top 10 to 12 young sires from within participating flocks each year and look to make rapid genetic improvement in all commercially important traits through the use of LAMBPLAN information. Facts:

• Superwhites has been in operation since 1995. • 20 active members based in 5 states ranging from Foundation members to more recently established studs. • Collectively the group joins around 9,000 ewes and sells nearly 4,000 rams rams annually. • Superwhites select the best 10-12 young rams each year and shares them across the group through AI. • The group fosters improved genetic linkage and excellent data quality.

Who can be part of Superwhites? Superwhites is open to any AWSA member who meets the following criteria:

• Maintain high data quality within LAMBPLAN. • At least 60 ewes in the flock. • Maintain LEQ index average above the LAMBPLAN White Suffolk Average.

Further Information: We are looking to further expand our membership base. If you are interested in being involved in this progressive breeding group, or would like any further information, please contact: Steve Milne – Chairman Phone: 0428 786 327 Email: [email protected] Website: www.whitesuffolk.com/pages/white-suffolk-superwhites.php

SUPERWHITES Access to high performance White Suffolk genetics

Serious about performance recording Making rapid genetic gain


http://www.whitesuffolk.com/pages/white-suffolk-superwhites.php

· (est. 1975 flock no. 2248) (est. 1987 flock no. 26) (est. 1992 flock no. 1429) 33rd annual on...

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