Genetics Selection Evolution

Table 6 Parameters obtained for the Walloon example for 1212 internally used sires

From: Unified method to integrate and blend several, potentially related, sources of information for genetic evaluation

Genetic evaluations	Milk yield
Genetic evaluations	r¹	MSE²	a³	R^{2 3}	RE_tot⁴	REL⁵
EVAL_W	0.886	100.00	0.87 (0.013)	0.78	21 934.6	0.74 (0.22)
EVAL_BLNN	0.987	11.68	0.993 (0.005)	0.97	55 038.2	0.92 (0.05)
EVAL_BLRE	0.989	10.01	0.984 (0.004)	0.98	37 487.1	0.91 (0.05)
EVAL_BLR	0.988	10.57	1.004 (0.004)	0.98	52 313.0	0.91 (0.06)
EVAL_BL	0.990	8.87	0.995 (0.004)	0.98	34 141.2	0.90 (0.06)
	Fat yield
	r ¹	MSE ²	a ³	R ^{2 3}	RE _tot ⁴	REL ⁵
EVAL_W	0.862	100.00	0.815 (0.014)	0.74	20 016.8	0.76 (0.22)
EVAL_BLNN	0.983	12.22	0.989 (0.005)	0.97	46 144.6	0.92 (0.05)
EVAL_BLRE	0.985	10.69	0.977 (0.005)	0.97	32 320.9	0.92 (0.05)
EVAL_BLR	0.985	11.12	1.004 (0.005)	0.97	43 943.6	0.91 (0.06)
EVAL_BL	0.987	9.54	0.991 (0.005)	0.97	29 631.1	0.90 (0.06)
	Protein yield
	r ¹	MSE ²	a ³	R ^{2 3}	RE _tot ⁴	REL ⁵
EVAL_W	0.882	100.00	0.851 (0.013)	0.79	20 851.6	0.75 (0.22)
EVAL_BLNN	0.985	12.38	0.985 (0.005)	0.97	49 589.7	0.92 (0.05)
EVAL_BLRE	0.987	10.79	0.975 (0.004)	0.98	34 372.9	0.91 (0.05)
EVAL_BLR	0.986	11.26	0.996 (0.005)	0.98	47 189.5	0.91 (0.06)
EVAL_BL	0.988	9.56	0.986 (0.004)	0.98	31 434.7	0.90 (0.06)

¹r = rank correlation between EVAL_MACE and EVAL_W, EVAL_BLNN, EVAL_BLRE, EVAL_BLR or EVAL_BL; ²MSE = mean squared error expressed as a percentage of the average internal mean squared error; ³a = regression coefficient (SE in parentheses) and R² = coefficient of determination of the regression of MACE EBV on EBV estimated by EVAL_W, EVAL_BLNN, EVAL_BLRE, EVAL_BLR or EVAL_BL; ⁴RE_tot = total amount of record equivalents; ⁵REL = average reliability (SD in parentheses).

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ISSN: 1297-9686

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