where do we go from here? · 2019-08-22 · david lalman, oklahoma state university aug. 21, 2019...

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David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 1 David Lalman, Claire Andresen, Amanda Holder, Megan Gross, Alexi Moehlenpah Where do we go from here? Considerations in developing a more efficient cow herd Weaning Weight and Cow Size Colorado, Iowa, Minnesota, Montana, Nebraska, North Dakota, South Dakota, Wisconsin, and Wyoming Arizona, Kansas, Missouri, New Mexico, Oklahoma, and Texas ¡ Considerable evidence that ranch resources (forage) may limit weaning weight potential ¡ Increasing aggressively in the Southern U.S. ¡ Weaning weight phenotype can be manipulated by modifying the environment § creep feed § wheat pasture § lower stocking rate ¡ Know the trend over time in YOUR operation ¡ If long-term trend is flat, shift focus to cost

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Page 1: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 1

David Lalman, Claire Andresen, Amanda Holder, Megan Gross, Alexi Moehlenpah

Where do we go from here?Considerations in developing a more efficient cow herd

Weaning Weight and Cow Size

Colorado, Iowa, Minnesota, Montana, Nebraska, North Dakota, South Dakota, Wisconsin, and Wyoming

Arizona, Kansas, Missouri, New Mexico, Oklahoma, and Texas¡ Considerable evidence that ranch resources

(forage) may limit weaning weight potential¡ Increasing aggressively in the Southern U.S.¡ Weaning weight phenotype can be manipulated

by modifying the environment§ creep feed§ wheat pasture§ lower stocking rate

¡ Know the trend over time in YOUR operation¡ If long-term trend is flat, shift focus to cost

Page 2: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 2

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Her

efor

d M

W E

PD

Her eford

-150

-100

-50

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1972 1977 1982 1987 1992 1997 200 2 200 7 2012 2017

EPD

, pou

nds

Yearling Weight

Mature Cow Weight0.00

0.50

1.0 0

1.50

2.00

2.50

3.00

3.50

4.00

1970 1980 1990 200 0 2010

MW

T EP

D

Birth Year

¡ Indicator of cost§ Feed intake§ Stocking rate§ Annual cost

¡ Influences cull cow income

Reviewed literature for experiments conducted within the last 10 years

Found 24 treatment means from 9 manuscripts

Page 3: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 3

Item Mean Min Max

Shrunkweight, lbs 1,280 965 1,608

BCS 5.3 4.4 6.0

TDN, % DM 58 50 65

DMI, lbs/d 24.7 18.3 35.2

y = 0.021x - 2.31R² = 0.74

0.05.0

10.015.020.025.030.035.040.0

900 1100 1300 1500 1700

1100 vs 1400 mature weight equivalent to:• 6.3 lbs more forage per day• 2,300 lbs more forage per year

100 lbs cow weight = 2.1 lbs more forage

Fall-born calves closed out 2/22/2019Weaned in AprilGrazed April through July

¡ Calf : cow weight ratio§ “…not the contemporary phenotype of choice on

which to base a selection program” McNeil 2005§ Use as a culling tool rather than a selection tool

¡ Preferred – Overall ranch relationship of weaning weight : cow weight§ An indicator of how YOUR operation responds to

cow size in terms of calf weaning weight

200

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700 1200 1700 2200

Wea

ning

Wei

ght (

lb)

Cow BW (lb)

Each 100 lb cow weight = 6 to 31 lb added calf WW in 8 studiesEach 100 lb cow weight increases cow costs by $40 to $50 annually

Need more than 50 cowsOnly use cows age 4 to 9Adjust weights to BCS = 5

¡ Calf : cow weight ratioMcNeil 2005 “…not the contemporary phenotype of choice on which to base a selection program” McNeil 2005§ Use as a culling tool rather than a selection tool

¡ Preferred – weaning weight response to cow weight to determine “match”

¡ Select for mature cow size through herd sires

Page 4: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 4

R² = 0.5277

020406080

100120140160180

-50 0 50 100 150

Year

ling

Wei

ght E

PD, l

bs

Mature Cow Weight EPD, lbs

Breed Average ¡ 70% of feed energy to produce beef is consumed by the cows

¡ Less than 10% of seedstock producers turn in cow weight records to breed association

¡ Record weight and BCS within 45 days of weaning

¡ Gather at or before dawn prior to grazing

¡ Commercial Angus herd¡ Spring calving¡ Sire milk EPDs: about

breed avg¡ Peak yield (May)

§ 2015 = 31 lb§ 2016 = 29 lb§ 2017 = 31 lb§ 2018 = 33 lb

Author Year Gain:Milk Milk:Gain Breed ForageEdwards 2017 NS NS Angus cross FescueSpencer 2017 .018 55 Angus TMRWiseman 2017 .015 66 A and H X A TMRAndresen 2018 .034 29 A and H X A TMRBrown 2005 0.084 12 Brangus OK NativeMarston 1992 0.014 71 Angus KS NativeMarston 1992 0.032 31 Simmental KS NativeMallinckrodt 1993 0.034 29 Hereford KS NativeMallinckrodt 1993 0.023 44 Simmental KS Native

Eight-study mean = 42 lbs milk per lb calf gainRequires about 50 lbs cow feed

Page 5: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 5

Photo Courtesy of Oklahoma State University

400.0

500 .0

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700 .0

800.0

900.0

1000.0

1100 .0

1200 .0

150 200 250 300 350

Milk

Yie

ld, 1

00 d

ays

Avg Daily Energy Intake, kilocalories per unit of body weight

1990 Hereford

Jenkins and Ferrell, 1992 and Spencer, 2017

1990 Angus1990 Gelbvieh 2017 AngusRequires 3% BWof 70% TDN diet

Milk Energyy = 0.28x - 19.3

y = 0.35x - 81.1Maternal Tissue Energy

-20 .00-10.00

0.00

10.0020.00

30.00

40.0050.00

60 .00

70.0080.00

200 225 250 275 300 325

Kca

l RE

/ kg

BW

.75

Kcal MEI / kg BW.75

22 lbs Feed DM

30 lbs Feed DM

G x E InteractionHigh Quality Forage

Item 72.5% TDNMod Milk High Milk High Milk

Mod Maint Mod Maint High MaintDMI, lb/d 30.6 32.4 31.3Maint, kcal ME / BW.75 142 142 166.5Feed for maintenance, lb 12.6 12.9 15.1

Milk yield, lb / d 22 31 26Feed for milk, lb 9.3 13.3 11.1

Feed for maternal gain, lb 8.6 0.0 0.0Gain, lb / d 2.3 0.0 0.0

G x E InteractionModerate Quality Forage

62.5% TDNMod Milk High Milk High Milk

Mod Maint Mod Maint High MaintDMI, lb/d 28.4 29.3 27.8Maint, kcal ME / BW0.75 142.0 142.0 166.5Feed for maintenance, lb 15.0 15.0 17.6

Milk yield, lb / d 22.0 26.9 19.2Feed for milk, lb 11.4 14.3 10.1

Feed for maternal gain, lb 2.0 0.0 0.0Gain, lb / d 0.4 0.0 0.0

G x E InteractionLow Quality Forage

52.5% TDNMod Milk High Milk High Milk

Mod Maint Mod Maint High MaintDMI, lb/d 24.4 24.4 23.1ME intake, Mcal / d 20.6 20.6 19.6Maint, kcal ME / kg BW0.75 142.0 142.0 166.5Feed for maintenance, lb 17.8 17.8 20.7

Milk yield, lb / d 9.7 9.7 3.5Feed for milk, lb 6.7 6.7 2.4

Feed for maternal gain, lb 0.0 0.0 0.0Gain, lb / d 0 0 0

Page 6: Where do we go from here? · 2019-08-22 · David Lalman, Oklahoma State University Aug. 21, 2019 2019 ARSBC, Knoxville, Tenn. 4 R² = 0.5277 0 20 40 60 80 100 120 140 160 180-50

David Lalman, Oklahoma State University Aug. 21, 2019

2019 ARSBC, Knoxville, Tenn. 6

CONTROLLING APPETITETO KEEP

COSTS DOWN

¡ Growing cattle consuming high-quality concentrate or high-quality mixed diets

¡ Positive relationship between DMI for concentrate and forage diets§ Foote et al., 2017: .51§ Cassaday et al., 2016: .58

¡ Progress on growing/finishing feed intake and efficiency appears to be a step in the right direction for cow forage intake. Still much to learn

¡ Monitor your operation’s trends: § Weaning weight§ Calf wt per 100 lbs cow wt§ BCS at weaning§ Pounds weaned / cow exposed

¡ In many cases, negative pressure on mature cow weight will improve ranch profitability

¡ In MANY cases, modest negative pressure on milk production would improve the match to forage resources

¡ Milk and mature cow weight EPD’s can help you control cost and better match genetics to forage resources