Genetics Selection Evolution

Table 7 Parameters obtained for the Walloon example for 631 internally unused 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	0.725	100.00	0.667 (0.024)	0.56	2.5	0.22 (0.10)
EVAL_BLNN	0.994	3.09	0.953 (0.004)	0.99	4021.7	0.81 (0.05)
EVAL_BLRE	0.994	3.06	0.952 (0.004)	0.99	4021.7	0.81 (0.05)
EVAL_BLR	0.994	2.68	0.978 (0.004)	0.99	3172.9	0.77 (0.06)
EVAL_BL	0.994	2.68	0.977 (0.004)	0.99	3172.9	0.77 (0.06)
	Fat yield
	r ¹	MSE ²	a ³	R ^{2 3}	RE _tot ⁴	REL ⁵
EVAL_W	0.571	100.00	0.506 (0.024)	0.40	2.0	0.23 (0.10)
EVAL_BLNN	0.992	2.28	0.95 (0.005)	0.99	3172.5	0.81 (0.05)
EVAL_BLRE	0.992	2.28	0.949 (0.005)	0.99	3172.5	0.81 (0.05)
EVAL_BLR	0.992	2.09	0.987 (0.005)	0.99	2499.1	0.77 (0.06)
EVAL_BL	0.992	2.08	0.986 (0.005)	0.99	2499.1	0.77 (0.06)
	Protein yield
	r ¹	MSE ²	a ³	R ^{2 3}	RE _tot ⁴	REL ⁵
EVAL_W	0.717	100.00	0.684 (0.025)	0.54	2.3	0.22 (0.10)
EVAL_BLNN	0.993	2.96	0.952 (0.004)	0.99	3490.3	0.81 (0.05)
EVAL_BLRE	0.993	2.95	0.951 (0.004)	0.99	3490.3	0.81 (0.05)
EVAL_BLR	0.993	2.75	0.978 (0.005)	0.99	2751.0	0.78 (0.06)
EVAL_BL	0.993	2.75	0.977 (0.005)	0.99	2751.0	0.77 (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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