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Table 1 \({F}_{\mathrm{IS}}\)(± SD) based on the 35 k and 700 k data, and average diagonal and off-diagonal elements of the GRM

From: Genetic diversity and effective population sizes of thirteen Indian cattle breeds

Group

Breeds

FIS 35 k

FIS 700 k

GRM diagonal

GRM off-diagonal

Exotic dairy reference

Ayrshire

− 0.029 (± 0.203)

− 0.026 (± 0.205)

1.087 (± 0.048)

0.226 (± 0.076)

Friesian

− 0.005 (± 0.21)

− 0.006 (± 0.212)

1.068 (± 0.023)

0.128 (± 0.051)

Brown Swiss

− 0.02 (± 0.2)

− 0.02 (± 0.2)

1.096 (± 0.033)

0.269 (± 0.073)

Guernsey

0.02 (± 0.217)

0.023 (± 0.218)

1.112 (± 0.04)

0.246 (± 0.098)

Holstein

− 0.026 (± 0.205)

− 0.022 (± 0.209)

1.139 (± 0.039)

0.22 (± 0.093)

Jersey

− 0.004 (± 0.213)

− 0.001 (± 0.217)

1.115 (± 0.038)

0.313 (± 0.116)

Indicine reference

Bhagnani

0.027 (± 0.319)

0.027 (± 0.319)

1.096 (± 0.08)

0.138 (± 0.117)

Cholistani

− 0.006 (± 0.261)

− 0.006 (± 0.261)

1.07 (± 0.116)

0.2 (± 0.159)

Dajal

− 0.008 (± 0.299)

− 0.008 (± 0.299)

1.033 (± 0.014)

0.07 (± 0.175)

Dhanni

0.007 (± 0.25)

0.007 (± 0.25)

1.019 (± 0.024)

0.048 (± 0.08)

Gir

− 0.002 (± 0.21)

− 0.002 (± 0.215)

1.042 (± 0.039)

0.111 (± 0.119)

Guzerat

0.01 (± 0.268)

0.014 (± 0.275)

1.043 (± 0.057)

0.084 (± 0.086)

Hariana

0.001 (± 0.346)

0.001 (± 0.346)

1.189 (± 0.117)

0.459 (± 0.32)

Hissar

0.026 (± 0.308)

0.026 (± 0.308)

1.054 (± 0.08)

0.065 (± 0.175)

Kankraj

− 0.047 (± 0.256)

− 0.047 (± 0.256)

1.026 (± 0.02)

0.168 (± 0.139)

Lohani

0.04 (± 0.305)

0.04 (± 0.305)

1.06 (± 0.081)

0.042 (± 0.097)

Nelore

0.004 (± 0.208)

0.006 (± 0.215)

1.055 (± 0.039)

0.146 (± 0.068)

Ongole

0.012 (± 0.271)

0.012 (± 0.271)

1.041 (± 0.022)

0.079 (± 0.127)

Red Sindhi

0.052 (± 0.306)

0.052 (± 0.306)

1.044 (± 0.086)

0.043 (± 0.083)

Rojhan

0.036 (± 0.289)

0.036 (± 0.289)

1.046 (± 0.071)

0.029 (± 0.078)

Sahiwal

0.012 (± 0.218)

0.012 (± 0.218)

1.061 (± 0.058)

0.111 (± 0.06)

Tharparkar

0.006 (± 0.283)

0.006 (± 0.283)

1.021 (± 0.045)

0.081 (± 0.08)

BAIF indigenous

DANGI

− 0.013 (± 0.119)

− 0.015 (± 0.124)

1.004 (± 0.021)

0.07 (± 0.091)

GAOLAO

0.022 (± 0.22)

0.022 (± 0.226)

1.05 (± 0.069)

0.082 (± 0.115)

GIR

0.013 (± 0.106)

0.012 (± 0.101)

1.012 (± 0.041)

0.074 (± 0.053)

HALLIKAR

0.001 (± 0.175)

0.002 (± 0.179)

1.023 (± 0.015)

0.087 (± 0.028)

HARIANA

− 0.0001 (± 0.249)

0.0002 (± 0.262)

1.007 (± 0.02)

0.047 (± 0.058)

Non-Descript

0.028 (± 0.23)

0.029 (± 0.236)

1.012 (± 0.058)

0.011 (± 0.052)

KHILLAR

0.015 (± 0.195)

0.015 (± 0.2)

1.033 (± 0.043)

0.082 (± 0.068)

KRISHNA VALLEY

0.007 (± 0.213)

0.004 (± 0.218)

0.999 (± 0.023)

0.026 (± 0.042)

RED KANDHARI

0.009 (± 0.165)

0.008 (± 0.168)

1.016 (± 0.05)

0.062 (± 0.087)

MALNAD GIDDA

− 0.001 (± 0.264)

0.001 (± 0.274)

1.014 (± 0.026)

0.058 (± 0.185)

ONGOLE

0.027 (± 0.154)

0.028 (± 0.153)

1.026 (± 0.07)

0.053 (± 0.047)

RED SINDHI

− 0.032 (± 0.153)

− 0.034 (± 0.154)

1.072 (± 0.049)

0.225 (± 0.113)

SAHIWAL

0.013 (± 0.109)

0.015 (± 0.108)

1.035 (± 0.067)

0.067 (± 0.086)

THARPARKAR

− 0.022 (± 0.142)

− 0.024 (± 0.144)

0.993 (± 0.021)

0.075 (± 0.088)

  1. Standard deviations of the \({F}_{\mathrm{IS}}\) estimates based on the 35 k and 700 k data are equal to 0.0006–0.002 and 0.0001–0.0004, respectively
  2. GRM for the exotic breeds, indicine reference breeds, and BAIF indigenous breeds are built separately