Table 4.
Least squares means for breeds, regression coefficient for SNP genotypes and level of significancea
| Traits | Breedsb | SNPsc,d | ||||||
| HF | MT | WL | SNP03 | SNP06 | SNP07 | SNP08 | SNP09 | |
| AM-RR (times/min) | 28.95 (1.01)A | 23.85 (0.95)B | 21.05 (0.92)B | nd | 0.51 (1.20) | nd | nd | nd |
| PM-RR (times/min) | 39.73 (1.76)A | 40.20 (1.65)A | 34.76 (1.60)B | −4.56 (2.49) | nd | nd | nd | nd |
| ARR (times/min) | 34.34 (1.19)A | 32.03 (1.11)A | 27.92 (1.08)B | −2.31 (1.71) | nd | nd | nd | nd |
| AM-PCV (%) | 26.53 (0.74)A | 39.53 (0.80)B | 35.34 (0.78)C | −0.34 (1.27) | nd | 0.42 (1.06) | nd | nd |
| PM-PCV (%) | 26.08 (0.71)A | 36.44 (0.66)B | 31.77 (0.64)C | −0.65 (1.07) | nd | 0.03 (0.87) | nd | nd |
| APCV (%) | 26.27 (0.72)A | 37.98 (0.67)B | 33.55 (0.65)C | −0.48 (1.06) | nd | 0.23 (0.88) | nd | nd |
| AM-RT (°C) | 38.20 (0.11)A | 37.95 (0.07)A | 37.99 (0.10)A | nd | 0.92 (0.30) | nd | nd | −0.90 (0.28) |
| PM-RT (°C) | 39.07 (0.15)A | 39.02 (0.08)A | 39.32 (0.11)A | −0.26 (0.12) | nd | nd | 0.22 (0.08) | −0.08 (0.10) |
| ART (°C) | 38.77 (0.55)A | 38.46 (0.05)B | 38.61 (0.05)AB | 0.01 (0.07) | nd | nd | 0.13 (0.05) | nd |
| HTC | 95.28 (0.54)A | 98.38 (0.47)B | 96.85 (0.49)AB | −0.07 (0.76) | nd | nd | −1.33 (0.53) | nd |
| ANOVA significance level [P (F)] | ||||||||
| Breeds | SNPs | |||||||
| Type Id | Type III | SNP03 | SNP06 | SNP07 | SNP08 | SNP09 | ||
| AM-RR (times/min) | < 0.0001 | 0.041 | nd | 0.681 | nd | nd | nd | |
| PM-RR (times/min) | 0.036 | 0.077 | 0.075 | nd | nd | nd | nd | |
| ARR (times/min) | < 0.0001 | 0.123 | 0.183 | nd | nd | nd | nd | |
| AM-PCV (%) | < 0.0001 | < 0.0001 | 0.783 | nd | 0.688 | nd | nd | |
| PM-PCV (%) | < 0.0001 | < 0.0001 | 0.541 | nd | 0.973 | nd | nd | |
| APCV (%) | < 0.0001 | < 0.0001 | 0.648 | nd | 0.797 | nd | nd | |
| AM-RT (°C) | 0.006 | 0.203 | nd | 0.004 | nd | nd | 0.003 | |
| PM-RT (°C) | 0.005 | 0.089 | 0.049 | nd | nd | 0.016 | 0.458 | |
| ART (°C) | 0.002 | 0.008 | 0.915 | nd | nd | 0.017 | nd | |
| HTC | 0.002 | 0.008 | 0.926 | nd | nd | 0.017 | nd | |
Means within a factor with different superscript capital letters differ significantly (p < 0.05)
nd not included in model due to non-significance in stepwise regression analyses
aStatistical analysis carried out using breed as fixed class variable and only fixed significant SNPs derived from stepwise regression analysis
bLs-means with standard error (SE) are estimated using statistical models by considering only significant factors
cRegression coefficients with standard error (SE) are estimated by considering all variables in the model; bold is a significant effect of SNPs on Type III analysis
dThe variable breed placed always in the first position in model