Items | Equation predicting the combined RR coefficient of M2 | |||||||||
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First lactation | Later lactations | |||||||||
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Intercept | First-order | Intercept | First-order | |||||||
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REG_12) | REG_23) | REG_1 | REG_2 | REG_1 | REG_2 | REG_1 | REG_2 | |||
Coefficient of determination (R2) | 0.743 | 0.765 | 0.068 | 0.079 | 0.653 | 0.699 | 0.146 | 0.170 | ||
Intercept | 0.307 | 0.101 | −0.075 | 0.003 | −0.098 | 0.161 | −0.142 | −0.071 | ||
Partial regression coefficient on RR coefficients of M1 | AG | Intercept | 0.948 | 0.955 | −0.296 | −0.033 | 1.059 | 0.858 | −0.051 | −0.044 |
First–order | 2.005 | 1.176 | 0.031 | 0.155 | 1.628 | 0.890 | 0.001 | 0.123 | ||
Second–order | 1.762 | 1.059 | 0.205 | 0.365 | 1.582 | 0.726 | 0.068 | 0.198 | ||
PE | Intercept | - | −0.795 | - | 0.498 | - | −2.093 | - | 5.145 | |
First–order | - | 0.230 | - | 0.091 | - | 0.616 | - | 0.710 | ||
Second–order | - | 0.616 | - | −0.119 | - | 1.673 | - | −1.265 |
RR coefficient of M1 | Equation predicting the combined RR coefficient of M2 | ||||||||
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First lactation | Later lactations | ||||||||
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Intercept | First-order | Intercept | First-order | ||||||
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REG_12) | REG_23) | REG_1 | REG_2 | REG_1 | REG_2 | REG_1 | REG_2 | ||
AG | Intercept | 0.914 | 0.921 | −0.124 | −0.137 | 1.219 | 0.988 | −0.299 | −0.258 |
First-order | 0.308 | 0.180 | 0.021 | 0.103 | 0.316 | 0.173 | 0.001 | 0.123 | |
Second-order | 0.311 | 0.187 | 0.157 | 0.279 | 0.390 | 0.179 | 0.086 | 0.251 | |
PE | Intercept | - | −0.102 | - | 0.279 | - | −0.240 | - | 3.025 |
First-order | - | 0.087 | - | 0.150 | - | 0.243 | - | 1.437 | |
Second-order | - | 0.146 | - | −0.123 | - | 0.444 | - | −1.722 |
DIM | First lactation | Later lactations | ||
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REG_13) | REG_24) | REG_1 | REG_2 | |
335 | 0.875 | 0.889 | 0.824 | 0.854 |
365 | 0.866 | 0.881 | 0.814 | 0.842 |
395 | 0.852 | 0.864 | 0.799 | 0.825 |
425 | 0.823 | 0.839 | 0.778 | 0.803 |
1) Combined RR coefficients are as defined in the footnote to Table 3.
2) Model_M2 is applied to the milk records from 306 to 450 DIM (M2), with the covariates of fixed and random regression as second and first-order Legendre polynomials, respectively.
3),4) REG_1 and REG_2 are as defined in the footnote to Table 3.