Table 1.
Population1) | MNA±SD | NEA±SD | HE±SD | HO±SD | Rt±SD | FIS | NE(0.05) |
---|---|---|---|---|---|---|---|
LLS | 6.00±2.56 | 2.932±0.315 | 0.588±0.030 | 0.491±0.013 | 5.22±2.13 | 0.167 | 120.8 |
MGS | 5.33±1.95 | 2.847±0.189 | 0.598±0.033 | 0.573±0.013 | 4.7±1.56 | 0.043 | 74.1 |
YLS | 6.00±2.68 | 3.162±0.261 | 0.628±0.031 | 0.552±0.013 | 5.36±2.16 | 0.123 | 171.3 |
ZTS | 5.93±2.52 | 2.88±0.225 | 0.593±0.034 | 0.530±0.013 | 5.17±1.98 | 0.107 | 97.1 |
GZS | 5.63±2.27 | 2.77±0.227 | 0.582±0.032 | 0.546±0.013 | 4.91±1.88 | 0.062 | 113.6 |
LNS | 6.47±2.74 | 3.528±0.245 | 0.664±0.034 | 0.619±0.012 | 5.72±2.26 | 0.066 | 153.7 |
CDM | 5.93±2.41 | 2.877±0.2 | 0.606±0.028 | 0.595±0.012 | 5.11±1.79 | 0.018 | 80.4 |
LLY | 5.63±2.22 | 3.131±0.216 | 0.64±0.026 | 0.600±0.013 | 5.13±1.82 | 0.062 | 74.4 |
LZS | 5.47±2.26 | 2.793±0.219 | 0.583±0.034 | 0.539±0.012 | 4.71±1.77 | 0.075 | 75.9 |
MGR | 6.93±2.63 | 3.664±0.293 | 0.661±0.037 | 0.556±0.013 | 6.19±2.3 | 0.161 | 143.1 |
CDS | 7.90±3.08 | 4.102±0.291 | 0.709±0.029 | 0.653±0.011 | 6.87±2.47 | 0.080 | 124.1 |
XJS | 8.23±2.93 | 3.962±0.29 | 0.689±0.036 | 0.616±0.012 | 7.03±2.27 | 0.108 | 101.2 |
XZS | 7.37±3.10 | 3.625±0.239 | 0.685±0.027 | 0.612±0.012 | 6.61±2.49 | 0.108 | 96.1 |
ZWS | 6.87±2.69 | 3.903±0.303 | 0.694±0.035 | 0.622±0.018 | 6.8±2.66 | 0.106 | 569.7 |
SNB | 6.50±2.33 | 3.685±0.264 | 0.684±0.028 | 0.600±0.012 | 5.86±1.98 | 0.121 | 47.5 |
HWS | 7.37±2.28 | 4.294±0.312 | 0.729±0.025 | 0.588±0.013 | 6.75±1.96 | 0.195 | 113.2 |
JNQ | 7.30±2.51 | 4.369±0.299 | 0.737±0.024 | 0.646±0.012 | 6.56±2.12 | 0.124 | 98.3 |
YMH | 7.83±2.77 | 3.859±0.299 | 0.704±0.023 | 0.557±0.013 | 6.73±2.24 | 0.210 | 66.1 |
LBB | 7.67±2.51 | 3.822±0.234 | 0.707±0.025 | 0.628±0.013 | 6.72±2.07 | 0.113 | 76.7 |
THS | 6.47±2.34 | 3.344±0.237 | 0.657±0.027 | 0.615±0.011 | 5.59±1.95 | 0.022 | 134.7 |
CJB | 5.77±2.22 | 3.275±0.26 | 0.644±0.029 | 0.623±0.014 | 5.32±1.97 | 0.032 | 374.2 |
MTS | 5.37±2.09 | 3.014±0.224 | 0.625±0.025 | 0.569±0.012 | 4.78±1.82 | 0.091 | 69.4 |
YCB | 5.93±2.32 | 3.25±0.23 | 0.655±0.024 | 0.623±0.012 | 5.19±1.88 | 0.050 | 100.1 |
XDH | 5.37±2.24 | 2.912±0.225 | 0.608±0.030 | 0.549±0.013 | 4.74±1.81 | 0.097 | 96.8 |
FQS | 4.90±2.40 | 2.723±0.247 | 0.569±0.034 | 0.475±0.012 | 4.30±1.93 | 0.168 | 89 |
DYS | 4.40±2.25 | 2.424±0.217 | 0.507±0.039 | 0.434±0.013 | 3.89±1.91 | 0.146 | 32.7 |
Average | 6.33±2.47 | - | 0.644±0.030 | 0.577±0.013 | 5.61±2.04 | 0.167 | - |
Summary statistics of the genetic diversity in 26 goat breeds.
n, sample size; MNA, mean number of alleles; SD, standard deviation; NEA, mean number of effective alleles; HE, expected heterozygosity; HO, observed heterozygosity; Rt, allelic richness; FIS, fixation index; NE(0.05), effective population size based on linkage disequilibrium (minor allele frequency 0.05).
LLS, Longling yellow goat; MGS, Maguan poll goat; YLS, Yuling goat; ZTS, Zhaotong goat; GZS, Guizhou White goat; LNS, Liaoning Cashmere goat; CDM, Chengdu Brown goat; LLY, Longlin goat; LZS, Leizhou goat; MGR, Inner Mongolia Cashmere goat; CDS, Chaidamu goat; XJS, Xinjiang goat; XZS, Tibetan goat; ZWS, Zhongwei goat; SNB, Shannan White goat; HWS, Huanghuai goat; JNQ, Jining Gray goat; YMH, Yimeng Black goat; LBB, Lubei White goat; THS, Taihang goat; CJB, Yangtse River Delta White goat; MTS, Matou goat; YCB, Yichang White goat; XDH, Xiangdong Black goat; FQS, Fuqing goat; DYS, Daiyun goat.