Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models

Feltes, Giovani Luis; Negri, Renata; Raidan, Fernanda Santos Silva; Feres, Luiz Fernando Rodrigues; Ribeiro, Virgínia Mara Pereira; Cobuci, Jaime Araújo

doi:10.37496/rbz5120220017

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Breeding and genetics • R. Bras. Zootec. 51 • 2022 • https://doi.org/10.37496/rbz5120220017 copy

Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The objective of this work is to estimate genetic parameters and breeding values to improve embryo and oocyte production, using repeatability and random regression models (RRM) for Gir dairy cattle. We used 11,398 records of ovum pick-up from 1,747 dairy Gir donors and evaluated sixteen different models: the traditional repeatability model and fifteen RRM, each of which considered a different combination of Legendre polynomial regressors to describe the additive genetic and permanent environment effects. The 4G1P model (four regressors for the genetic effect and one regressor for the permanent environment effect) is the most suitable model to analyze the number of viable and total oocytes, while the 3G1P is the best model to analyze the number of cleaved and viable embryos, according to the values of the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). The heritability estimated with the RRM was higher than that estimated with the repeatability model. The high repeatability reported for oocyte and embryo count traits indicates that donors, which had high oocyte and embryo counts in the first ovum pick-up, should maintain this result in the next ovum pick-up. Genetic correlations between adjacent ages were high and positive, while genetic correlations between extreme ages were weak. We observed a reranking of the top sires and females (heifers and cows) over the period evaluated. The reliability of the estimated breeding values by RRM showed changes across age, and the expected genetic gains by RRM are larger. This shows that RRM is most suitable alternative for the evaluation and selection of oocyte and embryo count traits.

animal breeding; Bos indicus; dairy cattle; in vitro fertilization; ovum pick-up

Trait	Fixed effect				Regressor		Model

	CG	IVOP	NVOP	Sire	A	P
TO, VO, CE	*	*	*	-	+	+	1G1P
	*	*	*	-	+	+ +	1G2P
	*	*	*	-	+	+ + +	1G3P
	*	*	*	-	+	+ + + +	1G4P
	*	*	*	-	+ +	+	2G1P
	*	*	*	-	+ +	+ +	2G2P
	*	*	*	-	+ +	+ + +	2G3P
	*	*	*	-	+ +	+ + + +	2G4P
	*	*	*	-	+ + +	+	3G1P
	*	*	*	-	+ + +	+ +	3G2P
	*	*	*	-	+ + +	+ + +	3G3P
	*	*	*	-	+ + +	+ + + +	3G4P
	*	*	*	-	+ + + +	+	4G1P
	*	*	*	-	+ + + +	+ +	4G2P
	*	*	*	-	+ + + +	+ + +	4G3P
	*	*	*	-	+ + + +	+ + + +	4G4P
VE	*	*	*	*	+	+	1G1P
	*	*	*	*	+	+ +	1G2P
	*	*	*	*	+	+ + +	1G3P
	*	*	*	*	+	+ + + +	1G4P
	*	*	*	*	+ +	+	2G1P
	*	*	*	*	+ +	+ +	2G2P
	*	*	*	*	+ +	+ + +	2G3P
	*	*	*	*	+ +	+ + + +	2G4P
	*	*	*	*	+ + +	+	3G1P
	*	*	*	*	+ + +	+ +	3G2P
	*	*	*	*	+ + +	+ + +	3G3P
	*	*	*	*	+ + +	+ + + +	3G4P
	*	*	*	*	+ + + +	+	4G1P
	*	*	*	*	+ + + +	+ +	4G2P
	*	*	*	*	+ + + +	+ + +	4G3P
	*	*	*	*	+ + + +	+ + + +	4G4P

Trait	N	Median	Mean	SD	Min	Max
Total oocytes	11398	13.00	21.72	15.38	1.00	182.00
Viable oocytes	11398	13.00	16.24	13.01	0.00	182.00
Cleaved embryos	11398	10.00	11.99	8.87	0.00	98.00
Viable embryos	11398	3.00	4.55	4.53	0.00	43.00

Model	Total oocytes		Viable oocytes		Cleaved embryos		Viable embryos

	AIC	BIC	AIC	BIC	AIC	BIC	AIC	BIC
1G1P	−1,450*	−1,444*	1,461*	1,467*	2,023*	2,030*	7,036*	7,043*
1G2P	−1,623	−1,613	1,327	1,337	1,945	1,955	7,019	7,029
1G3P	−1,648	−1,632	1,306	1,322	1,928	1,944	7,006	7,022
1G4P	−1,673	−1,648	1,288	1,313	1,920	1,945	7,005	7,030
2G1P	−1,717	−1,707	1,257	1,267	1,899	1,909	7,014	7,024
2G2P	−1,720	−1,705	1,256	1,270	1,899	1,913	7,016	7,030
2G3P	−1,743	−1,722	1,235	1,256	1,883	1,904	7,002	7,023
2G4P	−1,761	−1,733	1,222	1,251	1,878	1,907	7,001	7,030
3G1P	−1,764	−1,748	1,213	1,230	1,876*	1,892*	7,001*	7,017*
3G2P	−1,764	−1,743	1,215	1,236	1,878	1,899	7,003	7,023
3G3P	−1,764	−1,738	1,214	1,241	1,879	1,906	7,001	7,028
3G4P	−1,774	−1,739	1,208	1,243	1,875	1,910	7,000	7,035
4G1P	−1,782*	−1,758*	1,200*	1,225*	1,870	1,895	7,001	7,026
4G2P	−1,782	−1,753	1,201	1,230	1,871	1,900	7,004	7,033
4G3P	−1,782	−1,747	1,200	1,235	1,873	1,908	7,003	7,037
4G4P	−1,777	−1,734	1,204	1,247	1,874	1,918	7,003	7,046

Model	1G1P	4G1P_24	4G1P_48	4G1P_72	4G1P_96	4G1P_120	4G1P_144
1G1P		0.71	0.49	0.66	−0.17	0.08	0.02
4G1P_24	0.67		0.58	0.58	0.02	0.86	0.2
4G1P_48	0.76	0.76		0.78	0.27	0.40	−0.02
4G1P_72	0.65	0.56	0.72		0.50	0.22	0.15
4G1P_96	0.01	−0.17	−0.01	0.33		0.74	0.44
4G1P_120	−0.13	−0.42	−0.25	0.06	0.67		0.53
4G1P_144	0.12	−0.08	0.11	0.12	0.57	0.69

Model	1G1P	4G1P_24	4G1P_48	4G1P_72	4G1P_96	4G1P_120	4G1P_144
1G1P		0.79	0.49	0.67	0.50	0.25	0.31
4G1P_24	0.69		0.61	0.58	0.3	0.16	0.58
4G1P_48	0.80	0.74		0.71	0.28	−0.18	0.34
4G1P_72	0.68	0.57	0.76		0.54	0.09	0.43
4G1P_96	0.09	0.06	0.18	0.38		0.63	0.61
4G1P_120	−0.14	−0.25	0.04	0.25	0.62		0.73
4G1P_144	−0.12	0.19	0.33	0.25	0.48	0.68

Model	1G1P	3G1P_24	3G1P_48	3G1P_72	3G1P_96	3G1P_120	3G1P_144
1G1P		0.22	0.48	0.52	0.59	0.60	0.57
3G1P_24	0.68		0.59	0.40	−0.25	0.19	0.5
3G1P_48	0.75	0.72		0.63	0.34	0.34	0.54
3G1P_72	0.60	0.45	0.78		0.69	0.44	0.19
3G1P_96	0.30	0.18	0.38	0.63		0.69	0.40
3G1P_120	0.05	−0.13	0.01	0.14	0.55		0.69
3G1P_144	−0.16	0.00	0.09	0.21	0.47	0.67

Model	1G1P	3G1P_24	3G1P_48	3G1P_72	3G1P_96	3G1P_120	3G1P_144
1G1P		0.73	0.68	0.73	0.74	0.59	0.38
3G1P_24	0.65		0.73	0.55	0.38	0.52	0.84
3G1P_48	0.79	0.79		0.85	0.51	0.43	0.40
3G1P_72	0.77	0.56	0.84		0.77	0.61	0.61
3G1P_96	0.72	0.32	0.56	0.75		0.62	0.35
3G1P_120	0.27	−0.13	0.16	0.21	0.42		0.53
3G1P_144	0.30	0.30	0.17	0.06	0.18	0.60

Sociedade Brasileira de Zootecnia Universidade Federal de Viçosa / Departamento de Zootecnia, 36570-900 Viçosa MG Brazil, Tel.: +55 31 3612-4602, +55 31 3612-4612 - Viçosa - MG - Brazil
E-mail: rbz@sbz.org.br

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[1] * Corresponding author: jaime.cobuci@ufrgs.br