sheep sheep
The Breeder's Toolbox
Podcasts Webinars Blogs Video Gallery Resources
Contact
ToolBox Podcasts Joe-Head-Shepherd
47 min

Turning Grass Into Money - This Time With Cattle, With Joe Kerin

Read More
By Head Shepherd
Turning Grass Into Money - This Time With Cattle, With Joe Kerin
Blogs neXtgenminiseries Stocking-rate-no-text
Kerin Poll Merino
Toolbox
Stocking Rate - With Mark Ferguson neXtgen Agri
Hear Nigel and Mark Ferguson from neXtgen Agri on how Merinos are changing the game. Today’s ewes can be run at higher stocking rates and bounce back in condition faster than ever, lifting lamb survival to over 86 percent.
Nigel explains that decades of measuring and culling have paid off, turning invisible traits into visible progress. From predicting weaning percentages at scanning to stacking the one percenters, he says the last five years have taught him more about breeding sheep than the previous forty.
Read More
Stocking Rate - With Mark Ferguson neXtgen Agri
uploaded-files DSC04909
Kerin Wagyu
Kerin Poll Merino
Toolbox
Technology - Gimmick or Game Changer?
No matter what industry you are in, science and technology have created the shortest road to success. Nothing could be truer than that of the livestock industry, which has a host of new technology that helps us to make decisions on time, ahead of time, all the time.
Read More
Technology - Gimmick or Game Changer?
Previous Webinar

4 Sep

Dollars, Deals and Disasters Webinar
Latest Blog:
Industry Start - With Mark Ferguson from neXtgen Agri
Hear Nigel and Mark Ferguson from neXtgen Agri share their views on what drives profit in sheep businesses.
Mark explains that fertility and fast growth are the fundamentals. Without lambs on the ground there is no cash flow, and if they are not growing quickly the whole system becomes costly through extra feed and labour.
Read More
The Breeder's Toolbox
Hello, it looks like you are using an out of date browser. For the best experience, please consider upgrading to Microsoft Edge, Google Chrome, or Firefox
Stud-Sire 19

Our Stud Sires

Lead, Breed, Succeed

Stud-Sire Mark-Ferguson-thumb
Mark Ferguson neXtgen Agri

Industry Evolution

Hear from Mark Ferguson of neXtgen Agri as he highlights Kerin Poll Merino Stud Sire 240790. With 4.29 for muscle and 2.09 for fat, this ram ranks among the best in the industry for balance of carcass and wool. He combines strong growth and robust labour-saving traits like worm and dag resistance. This type of animal reflects where the industry has evolved, Merinos that deliver carcass shape, reproduction, resilience, and premium wool in one package.

2025 Stud Sires
Select
arrow
Top 5% info purple
The animal is in the Top 5% for a particular trait or index compared to other animals in the analysis from the current year drop.
Top 10% info blue
The animal is in the Top 10% for a particular trait or index compared to other animals in the analysis from the current year drop.
Top 20% info green
The animal is in the Top 20% for a particular trait or index compared to other animals in the analysis from the current year drop.
Top 5% info purple
The animal is in the Top 5% for a particular trait or index compared to other animals in the analysis from the current year drop.
Top 10% info blue
The animal is in the Top 10% for a particular trait or index compared to other animals in the analysis from the current year drop.
Top 20% info green
The animal is in the Top 20% for a particular trait or index compared to other animals in the analysis from the current year drop.

2025 Stud Sires

Kerin Poll

240037

ABSV Data
pwt
11.35
ywt
11.81
yfat
1.41
yemd
2.96
ycfw
17.45
acfw
21.15
yfd
-1.18
yfdcv
-0.83
ysl
9.53
ebwr
-0.79
ebcov
-0.39
ldag
-0.2
ywec
-1.79
lchar
-0.03
imf
0.42
lmy
1.51
wr
0.22
era
0.06
poll
PH
Kerin Poll

240163

ABSV Data
pwt
10.25
ywt
10.57
yfat
1.13
yemd
3.08
ycfw
21.47
acfw
23.84
yfd
-0.09
yfdcv
-1.85
ysl
14.02
ebwr
-0.85
ebcov
-0.48
ldag
-0.51
ywec
-36.62
lchar
-0.29
imf
-0.69
lmy
2.13
wr
0.22
era
0.09
poll
PP
Kerin Poll

240187

ABSV Data
pwt
8.83
ywt
10.81
yfat
1.27
yemd
1.49
ycfw
26.84
acfw
30.07
yfd
-0.72
yfdcv
-0.32
ysl
14.95
ebwr
-0.27
ebcov
-0.03
ldag
0.25
ywec
-62.64
lchar
-0.78
imf
0.01
lmy
-0.36
wr
0.2
era
0.03
poll
PH
Kerin Poll

240206

ABSV Data
pwt
10.11
ywt
10.14
yfat
0.83
yemd
2.99
ycfw
17.91
acfw
18.12
yfd
-0.61
yfdcv
-1.85
ysl
12.04
ebwr
-0.8
ebcov
-0.77
ldag
-0.46
ywec
-72.25
lchar
-0.08
imf
-0.61
lmy
2.25
wr
0.3
era
0.05
poll
PH
Kerin Poll

240257

ABSV Data
pwt
9.66
ywt
10.73
yfat
1.06
yemd
2.29
ycfw
19.5
acfw
20.82
yfd
-1.52
yfdcv
-0.49
ysl
9.39
ebwr
-0.38
ebcov
0.0
ldag
-0.18
ywec
-63.58
lchar
-0.11
imf
0.17
lmy
0.83
wr
0.23
era
0.06
poll
PP
Kerin Poll

240725

ABSV Data
pwt
9.25
ywt
10.51
yfat
0.97
yemd
1.1
ycfw
18.45
acfw
18.79
yfd
-1.74
yfdcv
-0.14
ysl
16.18
ebwr
-0.94
ebcov
-1.24
ldag
-0.01
ywec
-35.42
lchar
-0.53
imf
0.25
lmy
0.91
wr
0.07
era
0.07
poll
PP
Kerin Poll

240762

ABSV Data
pwt
8.93
ywt
10.43
yfat
1.22
yemd
2.95
ycfw
38.34
acfw
32.0
yfd
-0.25
yfdcv
-0.71
ysl
17.95
ebwr
-0.57
ebcov
-0.55
ldag
0.16
ywec
-1.06
lchar
-0.1
imf
-0.69
lmy
1.38
wr
0.19
era
0.07
poll
PP
Kerin Poll

240790

ABSV Data
pwt
7.31
ywt
8.82
yfat
2.09
yemd
4.15
ycfw
22.42
acfw
21.47
yfd
-0.23
yfdcv
-1.16
ysl
13.84
ebwr
-1.14
ebcov
-1.19
ldag
-0.7
ywec
-32.49
lchar
-0.3
imf
-0.52
lmy
0.5
wr
0.26
era
0.06
poll
PP
Kerin Poll

241878

ABSV Data
pwt
10.58
ywt
10.8
yfat
1.56
yemd
3.76
ycfw
31.56
acfw
25.04
yfd
-1.28
yfdcv
0.47
ysl
7.26
ebwr
-0.77
ebcov
-0.83
ldag
0.05
ywec
-4.21
lchar
0.08
imf
-0.02
lmy
1.46
wr
0.17
era
0.04
poll
PP
Kerin Poll

230270

ABSV Data
pwt
13.19
ywt
13.95
yfat
0.64
yemd
3.43
ycfw
20.52
acfw
17.74
yfd
-0.86
yfdcv
-0.78
ysl
10.1
ebwr
-1.02
ebcov
-1.12
ldag
-0.75
ywec
-44.02
lchar
-0.48
imf
-0.73
lmy
3.71
wr
0.27
era
0.09
poll
PP
Kerin Poll

230421

ABSV Data
pwt
10.28
ywt
10.23
yfat
2.31
yemd
2.53
ycfw
14.02
acfw
13.39
yfd
-0.48
yfdcv
-0.77
ysl
16.55
ebwr
-1.08
ebcov
-0.83
ldag
-0.04
ywec
-23.83
lchar
-0.1
imf
0.93
lmy
0.05
wr
0.19
era
0.04
poll
PP
Kerin Poll

230517

ABSV Data
pwt
8.38
ywt
9.54
yfat
1.2
yemd
3.98
ycfw
14.72
acfw
16.6
yfd
-1.98
yfdcv
-2.02
ysl
8.55
ebwr
-0.6
ebcov
-0.91
ldag
-0.59
ywec
-58.41
lchar
-0.4
imf
-0.38
lmy
2.26
wr
0.23
era
0.03
poll
PP
Kerin Poll

231282

ABSV Data
pwt
9.78
ywt
10.19
yfat
0.65
yemd
2.56
ycfw
23.91
acfw
22.18
yfd
-1.06
yfdcv
-1.99
ysl
9.74
ebwr
-1.0
ebcov
-0.77
ldag
-0.4
ywec
2.65
lchar
-0.36
imf
-0.54
lmy
2.61
wr
0.0
era
0.01
poll
PH
Kerin Poll

232350

ABSV Data
pwt
18.43
ywt
19.67
yfat
-0.26
yemd
1.14
ycfw
45.71
acfw
42.0
yfd
0.85
yfdcv
0.15
ysl
8.26
ebwr
-1.18
ebcov
-0.91
ldag
-0.11
ywec
13.37
lchar
0.12
imf
-1.58
lmy
4.79
wr
0.01
era
0.01
poll
PH
Kerin Poll

232687

ABSV Data
pwt
10.83
ywt
12.8
yfat
1.34
yemd
3.28
ycfw
20.82
acfw
19.8
yfd
-0.73
yfdcv
-1.8
ysl
9.68
ebwr
-0.48
ebcov
-0.33
ldag
-0.33
ywec
-20.85
lchar
-0.76
imf
-0.64
lmy
2.18
wr
0.16
era
0.06
poll
PP
Kerin Poll

232714

ABSV Data
pwt
12.44
ywt
15.15
yfat
0.82
yemd
2.31
ycfw
26.18
acfw
27.84
yfd
-0.75
yfdcv
-3.05
ysl
13.0
ebwr
-0.17
ebcov
-0.34
ldag
-0.05
ywec
-8.4
lchar
-0.24
imf
-0.18
lmy
2.6
wr
0.1
era
0.02
poll
PP

2023 Stud Sires

Kerin Poll

220301

ABSV Data
pwt
9.76
ywt
12.3
yfat
2.04
yemd
1.69
ycfw
29.19
acfw
19.04
yfd
0.47
yfdcv
-1.23
ysl
17.79
ebwr
-0.85
ebcov
-0.73
ldag
-0.45
ywec
-3.03
lchar
0.31
imf
0.46
lmy
-0.52
wr
0.27
era
0.03
poll
PH
Kerin Poll

221440

ABSV Data
pwt
5.68
ywt
5.97
yfat
0.59
yemd
1.79
ycfw
20.86
acfw
14.09
yfd
-0.7
yfdcv
-2.24
ysl
13.38
ebwr
-0.41
ebcov
-0.13
ldag
-0.24
ywec
-61.05
lchar
-0.2
imf
-0.6
lmy
1.96
wr
0.23
era
0.03
poll
PH
Kerin Poll

221900

ABSV Data
pwt
6.03
ywt
6.69
yfat
0.67
yemd
2.88
ycfw
30.05
acfw
32.31
yfd
0.05
yfdcv
-0.4
ysl
17.14
ebwr
-0.57
ebcov
-1.05
ldag
-0.34
ywec
-35.01
lchar
-0.35
imf
-0.86
lmy
2.08
wr
0.28
era
0.09
poll
PP
Kerin Poll

221984

ABSV Data
pwt
8.78
ywt
11.41
yfat
0.97
yemd
1.56
ycfw
18.0
acfw
15.03
yfd
-0.99
yfdcv
-1.31
ysl
14.54
ebwr
-0.65
ebcov
0.1
ldag
-0.15
ywec
-50.77
lchar
-0.2
imf
0.74
lmy
0.56
wr
0.18
era
0.03
poll
PH
Kerin Poll

222519

ABSV Data
pwt
11.81
ywt
13.19
yfat
0.49
yemd
2.52
ycfw
23.89
acfw
30.06
yfd
-0.18
yfdcv
-0.79
ysl
11.72
ebwr
-1.23
ebcov
-0.67
ldag
-0.3
ywec
-35.92
lchar
-0.06
imf
-1.36
lmy
3.83
wr
0.25
era
0.07
poll
PP
Kerin Poll

222707

ABSV Data
pwt
9.71
ywt
10.75
yfat
-0.54
yemd
1.56
ycfw
20.39
acfw
23.08
yfd
-1.33
yfdcv
-1.0
ysl
10.84
ebwr
-0.99
ebcov
-0.51
ldag
0.33
ywec
-70.89
lchar
-0.46
imf
-1.12
lmy
4.58
wr
0.22
era
0.04
poll
PP

2022 Stud Sires

Kerin Poll

210019

ABSV Data
pwt
6.07
ywt
7.86
yfat
0.13
yemd
4.07
ycfw
20.87
acfw
20.01
yfd
-2.12
yfdcv
-0.99
ysl
9.3
ebwr
-0.09
ebcov
-0.58
ldag
-0.15
ywec
-42.49
lchar
-0.31
imf
-0.99
lmy
3.74
wr
0.29
era
-0.01
poll
PP
Kerin Poll

210049

ABSV Data
pwt
7.03
ywt
7.38
yfat
0.5
yemd
2.77
ycfw
26.65
acfw
28.81
yfd
0.15
yfdcv
-2.3
ysl
11.21
ebwr
-0.67
ebcov
-0.34
ldag
-0.01
ywec
23.48
lchar
-0.14
imf
-0.6
lmy
2.7
wr
0.29
era
0.05
poll
PH
Kerin Poll

210107

ABSV Data
pwt
10.11
ywt
11.54
yfat
0.98
yemd
2.68
ycfw
16.76
acfw
19.48
yfd
0.39
yfdcv
-1.47
ysl
8.46
ebwr
-1.09
ebcov
-0.68
ldag
-0.52
ywec
-36.75
lchar
0.27
imf
-1.2
lmy
2.97
wr
0.27
era
0.03
poll
PH
Kerin Poll

210296

ABSV Data
pwt
6.65
ywt
7.24
yfat
0.78
yemd
4.77
ycfw
13.3
acfw
14.24
yfd
-2.29
yfdcv
-0.19
ysl
6.22
ebwr
-0.89
ebcov
-1.16
ldag
-0.74
ywec
-57.59
lchar
-0.15
imf
-0.64
lmy
3.38
wr
0.32
era
0.05
poll
PP
Kerin Poll

211617

ABSV Data
pwt
11.85
ywt
12.83
yfat
-0.08
yemd
0.92
ycfw
32.54
acfw
36.07
yfd
0.49
yfdcv
-0.95
ysl
12.08
ebwr
-0.92
ebcov
-0.97
ldag
-0.3
ywec
18.28
lchar
0.16
imf
-1.33
lmy
3.45
wr
-0.11
era
0.0
poll
PP
Kerin Poll

211642

ABSV Data
pwt
10.97
ywt
11.83
yfat
0.9
yemd
2.08
ycfw
20.86
acfw
20.02
yfd
0.04
yfdcv
-0.76
ysl
9.71
ebwr
-1.02
ebcov
-1.11
ldag
0.06
ywec
-20.47
lchar
-0.09
imf
-0.25
lmy
2.21
wr
0.18
era
0.06
poll
PH
Kerin Poll

212423

ABSV Data
pwt
8.33
ywt
10.47
yfat
2.27
yemd
2.18
ycfw
23.67
acfw
18.12
yfd
1.18
yfdcv
-1.19
ysl
18.76
ebwr
-0.96
ebcov
-0.34
ldag
-0.14
ywec
1.77
lchar
-0.09
imf
0.64
lmy
-1.4
wr
0.11
era
0.0
poll
PP

2021 Stud Sires

Kerin Poll

200808

ABSV Data
pwt
8.89
ywt
7.72
yfat
1.81
yemd
0.63
ycfw
18.79
acfw
15.47
yfd
0.57
yfdcv
1.09
ysl
8.93
ebwr
-0.17
ebcov
-0.54
ldag
0.14
ywec
-15.71
lchar
0.24
imf
0.52
lmy
-1.44
wr
0.1
era
0.03
poll
PP
Kerin Poll

203592

ABSV Data
pwt
13.72
ywt
15.41
yfat
1.08
yemd
1.34
ycfw
27.04
acfw
25.39
yfd
-0.46
yfdcv
0.08
ysl
20.29
ebwr
-0.76
ebcov
-0.94
ldag
-0.07
ywec
-25.98
lchar
-0.58
imf
-0.31
lmy
1.71
wr
0.14
era
0.06
poll
PP
close
ToolBox Podcasts Joe-Head-Shepherd

Turning Grass Into Money - This Time With Cattle, With Joe Kerin

What does a cow actually cost to run?

At Kerin Ag, every kilogram of utilisable feed has a value attached to it. That allows Joe Kerin and the team to measure whether an animal is genuinely paying its way.

In this episode, Joe joins Mark to discuss how putting a dollar value on each kilogram of grass they grow led them to choose Wagyu over Angus. As any Kerin would, Joe has done the numbers and compared Wagyu cows with larger recipient cows, based on the weaning weight of their calves relative to the kg of dry matter consumed by the cows. And, as predicted, the moderate-sized cow is far more efficient than the larger Angus X recipients.

Joe also discusses the role of genomics in Wagyu breeding. As they are a breed with a very narrow gene pool and are bred for carcass-related attributes, genomics is incredibly important, and Joe utilises it to its fullest.

Tune in to learn how to turn grass into money- this time with cattle.
spotify apple
close

Thank you for completing the form

Download
Drag More
More