Phenotypic correlation of characteristics in the gilt performance test with an average number of live-born piglets through all achieved births, during the reproductive exploitation

Radović, I.; Dragin, S.; Katanić, N.; Beuković, D.; Stančić, I.; Mirkov, M.; Horvatovic, M. P.

doi:10.1590/1678-4162-10483

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Animal Science and Technology and Inspection of Animal Products • Arq. Bras. Med. Vet. Zootec. 71 (04) • Jul-Aug 2019 • https://doi.org/10.1590/1678-4162-10483 copy

Phenotypic correlation of characteristics in the gilt performance test with an average number of live-born piglets through all achieved births, during the reproductive exploitation

Ligação fenotípica de características no teste de desempenho de leitões com um número médio de leitões nascidos vivos durante todos os nascimentos realizados, durante a exploração reprodutiva

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Reproductive efficacy of sows dictates the level of profitability of the production itself, and the moment of testing and selection of gilts for breeding (as the parents of a future generation), represents a very important moment. Given the fact that the selection of gilts for breeding is partly based on the weight-gain in the test, in this study we examined the influence of a daily weight-gain of gilts in the test of the manifestation of important reproductive characteristics - the size of the litter of the first and the other parities, as well as the percentage of sows that gave birth in relation to previous breeding process. Data of the 11637 tested gilts that completed the performance test have been used for the test. The studied characteristics were: the weight-gain at the end of the test, the number of live-born piglets, the number of stillborn piglets and the number of grown-weaned piglets in the first litter and the total number of live-born piglets, the total number of stillborn piglets and the total number of grown-weaned piglets. The results obtained in this study showed the effect of weight-gain in the reproductive efficacy test in the number of the live-born piglets in the first and from the 2nd to the 9th parity, as well as the percentage of the sows included in the next breeding process. By including all selected independent variables that showed the adequate statistical significance in correlation with the dependent variable, the determination coefficient rises to a value of 0.098 which represents 9.80% of the influence on the dependent variable, that can be explained by the independent variable, which leads to the conclusion that the binding strength between the variable "average live" and all the independent variables: “the number of litters”, the MLD depth” and “the back-fat thickness”, is very weak, which is not a rare case in multiple regression.

Keywords:
sow; gilt; parity; weight-gain; restocking of sows; size of the litter

Universidade Federal de Minas Gerais, Escola de Veterinária Caixa Postal 567, 30123-970 Belo Horizonte MG - Brazil, Tel.: (55 31) 3409-2041, Tel.: (55 31) 3409-2042 - Belo Horizonte - MG - Brazil
E-mail: abmvz.artigo@gmail.com

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[1] E-mail: ivan.radovic@stocarstvo.edu.rs

Performance	External	Weight at the end of the test	Age at the end of the test	Daily gain in the test	Back-fat thickness in the loins region	Bacon thickness in the back	MLD depth	Number of litters	Average live	SI	Meat percentage (%)	Average weaning
N	6,657	11,636	11,637	11,637	9,252	9,278	9,081	11,637	11,632	9,034	9,694	10,815
$\bar{x}$	4.45	106.69	200.27	533.33	14.20	15.24	66.31	3.09	10.47	100.22	56.79	12.04
$S_{x}$	0.01	0.12	0.13	0.57	0.053	0.10	0.16	0.02	0.03	0.04	0.13	0.12
SD	0.75	13.16	13.71	61.16	4.54	8.79	13.39	2.56	2.86	11.95	5.40	4.14
min.	1.00	70.00	170.00	400.00	4.00	5.00	80.00	1.00	1.00	60.00	48.00	1.00
маx.	5.00	170.00	230.00	829.00	31.00	97.00	99.00	18.00	21.00	140.00	80.00	35.00

Model	Variables involved	Method
1	Number of litters	Probability of included variable <= 0.50 Probability of excluded variable >= 100
2	MLD depth	Probability of included variable <= 0.50 Probability of excluded variable >= 100
3	Back-fat thickness	Probability of included variable <= 0.50 Probability of excluded variable >= 100

Model	R	R²	Adapted coefficient of determination	Standard error
1.	0.163^a	0.026	0.025	2.79786
2.	0.238^b	0.056	0.053	2.75706
3.	0.313^c	0.098	0.093	2.69779

Model		Sum of all mean squares	Df	Mean squares	F	Sig.
1	Total residue of regression	114.631	1	114.631 7.828	14.644	0.000^b
		4211.475	538
		4326.106	539
2	Total residue of regression	244.167	2	122.083 7.601	16.061	0.000^c
		4081.939	537
		4326.106	539
3	Total residue of regression	425.055	3	141.685 7.278	19.467	0.000^d
		3901.051	536
		4326.106	539

Model		Non-standard coefficients		Standard coefficients	t	Sig.
Model		Coefficient of regression (B)	Standard error	Coefficient of regression (β)
1	con. Number of litters	9.569	0.190	0.163	50.335	0.000
1	con. Number of litters	0.201	0.052	0.163	3.827	0.000
2	con. Number of litters, MLD depth	7.391	0.560	0.186 0.175	13.197	0.000
		0.229	0.052		4.392	0.000
		0.033	0.008		4.128	0.000
3	con. Number of litters, MLD depth, back-fat thickness	7.758	0.553	0.219 0.254 -0.220	14.030	0.000
		0.270	0.052		5.225	0.000
		0.048	0.008		5.728	0.000
		-0.082	0.016		-4.985	0.000

Model	Coefficient of regression (B)	t	Significance	Partial correlation	Deviation
Ex. Mass at the end of test, Age at the end of test, Mass gain during the test, Loin-fat thickness, Back-fat thickness, MLD depth, SI, percentage of meat in the body	0.030^b	0.703	0.482	0.030	0.995
	-0.025^b	-0.577	0.564	-0.025	0.984
	-0.116^b	-2.683	0.008	-0.115	0.949
	0.035^b	0.806	0.421	0.035	0.940
	-0.044^b	-1.033	0.302	-0.045	1.000
	-0.129^b	-3.047	0.002	-0.130	0.989
	0.175^b	4.128	0.000	0.175	0.983
	-0.041^b	-0.972	0.332	-0.042	0.996
	0.059^b	1.384	0.167	0.060	0.997
Ex. Mass at the end of the test, Age at the end of the test, Mass gain during the test, Loin-fat thickness, Back-fat thickness, SI, Percentage of meat in the body	0.060^c	1.419	0.157	0.061	0.968
	-0.087^c	-1.954	0.051	-0.084	0.891
	-0.098^c	-2.266	0.024	-0.097	0.937
	-0.034^c	-0.727	0.467	-0.031	0.817
	-0.153^c	-3.280	0.001	-0.140	0.798
	-0.220^c	-4.985	0.000	-0.211	0.862
	-0.101^c	-2.315	0.021	-0.100	0.910
	0.050^c	1.194	0.233	0.052	0.994
Ex. Mass at the end of test, Age at the end of test, Mass gain during the test, Loin-fat thickness, Back-fat thickness, MLD depth, SI, percentage of meat in the body	0.033^d	0.777	0.437	0.034	0.950
	-0.064^d	-1.465	0.143	-0.063	0.881
	-0.039^d	-0.879	0.380	-0.038	0.856
	-0.045^d	-0.999	0.318	-0.043	0.815
	-0.085^d	-1.743	0.082	-0.075	0.707
	-0.072^d	-1.666	0.096	-0.072	0.891
	0.028^d	0.676	0.499	0.029	0.982