Skip to main content

Table 1 Regions of the genome associated with a run of homozygosity of at least 4 Mb for milk and fertility traits across countries

From: Investigation of regions impacting inbreeding depression and their association with the additive genetic effect for United States and Australia Jersey dairy cattle

Countrya

Trait

BTA (Region)b

Locationc

Frequency

P-value*

Single marker regression

Gradient boosted machine

US

Milk Yield

7 (96.2–96.7)

96,541,131

0.07

0.0005

0.07

13 (19.3–19.9)

19,388,240

0.10

0.0001

0.02

23 (32.7–33.3)

32,682,177

0.18

0.0001

0.0019

25 (24.8–27.5)

25,450,477

0.05

0.00009

0.03

25 (29.1–29.9)

29,113,430

0.06

0.0009

-

Fat Yield

8 (82.5–83.4)

83,048,502

0.08

0.0003

0.19

8 (106.6–107.1)

106,817,894

0.11

0.0002

0.07

19 (12.7–15.5)

14,409,010

0.07

0.0002

0.005

20 (34.7–36.3)

36,240,997

0.24

0.0003

0.04

23 (32.7–33.3)

32,682,177

0.18

0.0003

0.04

Protein Yield

7 (96.1–96.7)

96,192,503

0.07

0.0002

0.04

13 (19.3 – 19.5)

19,388,240

0.10

0.0004

0.16

23 (31.9–33.3)

32,682,177

0.18

0.00008

0.004

25 (24.8–30.7)

29,113,430

0.06

0.00002

0.02

Calving Interval

7 (82.1–83.0)

82,173,456

0.09

0.0004

0.003

AU

Milk Yield

17 (72.1–73.5)

73,055,503

0.04

0.00004

0.03

20 (28.4–29.5)

29,322,034

0.33

0.0001

0.04

Fat Yield

2 (90.4–91.1)

91,117,564

0.16

0.0004

0.08

3 (113.8–114.2)

113,930,518

0.06

0.0007

0.20

7 (6.6–16.7)

8,860,921

0.17

0.00007

0.02

17 (72.1–75.0)

73,257,794

0.04

0.00002

0.006

18 (50.8–53.0)

52,024,379

0.15

0.00001

0.005

Protein Yield

3 (113.4–114.6)

113,845,303

0.06

0.000006

0.02

7 (8.8–12.8)

8,860,921

0.17

0.0003

0.05

17 (68.9–75.0)

73,055,503

0.04

0.0000008

0.005

18 (49.0–52.2)

49,446,631

0.13

0.0005

0.47

  1. aAU refers to Australia and US refers to United States
  2. bBTA refers to chromosome and the region and location are in Mb build UMD 3.1 (http://bovinegenome.org/cgi-bin/gbrowse/bovine_UMD31/)
  3. cReferrs to the location with regions with the highest significance based on Single Marker Regression Analysis
  4. *P-values were generated based on a permutation test (Doerge and Churchill [23]) for each analysis