Tamanho da leitegada e pesos médios, ao nascer e aos 21 dias de idade, de leitões da raça Large White

Holanda, Mônica Calixto Ribeiro de; Barbosa, Severino Benone Paes; Sampaio, I.B.M; Santos, Elson Soares dos; Santoro, Kléber Régis

doi:10.1590/s0102-09352005000400016

Cited by 15 publications

(14 citation statements)

References 1 publication

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“…Bandrick et al (2011) proved that cross-fostering affects transfer of immunity to piglets through colostrum. Higher 21-d Wt was observed in sows at sixth parity ( Figure 1) and differed from Holanda et al (2005), who have not established a correlation matrix between 21-d Wt and sow parity. Regarding the effect of litter size on piglet performance, litters with 12 or less piglets after cross-fostering had higher performance (P<0.01).…”

Section: Resultsmentioning

confidence: 75%

Effects of cross-fostering on performance of piglets

Camargo

Rego

Dias

et al. 2013

Rev. bras. saúde prod. anim.

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The high number of piglets born alive from hiperprolifics sows increases the variability of weight at birth and made many producers practice cross-fostering management, which consists in standardization of weight and number of piglets according to the sow ability. To evaluate the effect of cross-fostering on performance and mortality occurrence of piglets, historical data were studied from two producers of the Midwest region of Santa Catarina-Brazil. Were weighed 1440 piglets at birth, weaning and 37 days post weaning from 130 commercial sows of Agroceres PIC®. The adjusted weights at 21 and 58 days old and their respective gain were submitted to multiple regression analysis using the GLM procedure of SAS Statistical Software (2005), and occurrence of mortality was studied by GENMOD procedure. For performance traits were considered fixed effects the cross-fostering, contemporary group and covariables the birth weight or weaning, the number of piglets after equalization, number of weaned piglets, linear and quadratic effects of sow parity; the weight at birth were included as covariable for occurrence of mortality. Cross-fostered piglets weighed 207 grams less than biological piglets (P<0.01) and had lesser mortality between lightest piglets. However, the littermate equalization did not promote differences in growth period between cross-fostered and biological piglets.

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Section: Resultsmentioning

confidence: 75%

Effects of cross-fostering on performance of piglets

Camargo

Rego

Dias

et al. 2013

Rev. bras. saúde prod. anim.

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“…However, genetic factors (e.g., hyperprolificity, uterine capacity, and placental efficiency) and maternal factors (e.g., nutrition) have a greater influence on piglet weight at birth (Panzardi et al, 2009). Holanda et al (2005), by analysing a database where females were counted until the fourth delivery, identified a positive effect (P < 0.05) of the mean birth weight on the age of the mother at birth and the litter size. The authors observed that the largest litters occurred in females of 3.12 years of age.…”

Section: Mc4r (Snpg1578c>t)mentioning

confidence: 99%

Research Article Association of MC4R, FABP3 and DGAT1 gene polymorphisms with reproductive traits in two domestic pig lines

Gondim¹,

Soares²,

Lugo³

et al. 2019

Genet. Mol. Res.

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MC4R, FABP3 and DGAT1 are important genes related to productive and reproductive traits in pigs, such as food intake, growth rate, back fat thickness reduction and lactation. Selection of pigs for lean meat production may lead to losses in reproductive charcters because reduction of backfat thickness and low feed intake during the lactation phase can affect reproduction. To examine this possibility, we evaluated possible associations of SNPs in the MC4R (SNPg.1,578C>T), FABP3 (SNPg.240T>C) and DGAT1 (SNPg.9,422C>T) genes with the number of weaned piglets, birth weight, total weight of litter at birth, total litter weight at weaning, age at first mating and parity interval in 227 animals of two maternal lines: European and European/Chinese pigs. Specific fragments of the genes under study were amplified by Multiplex ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18139 V.S. Gondim et al. 2 ARMS-PCR and genotyped in an automatic sequencer. SNPs in the MC4R (SNPg.1,578C>T) and FABP3 (SNPg-240T>C) genes showed three genotypic variations in both lines, while the SNP (SNPg.9,422C>T) of the DGAT1 gene had three genotypic variations in European swine and two genotypic variations (homozygotes) in the European/Chinese breed. Polymorphisms of MC4R, FABP3 and DGAT1 genes evaluated by variance analysis had significant associations with the reproductive traits age at first mating and parity interval, while only the DGAT1 gene in the European line was significantly associated with the production traits mean weight at weaning and total litter weight at birth andnd weaning.

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“…Outros fatores que podem causar diferenças nas ordens de parto são, possivelmente, os efeitos de ano de parto e estação de parição, uma vez que trabalhos mostram influência de tais efeitos (HOLANDA et al, 2005;SILVA et al, 2007). Desse modo, as fêmeas poderiam ter sido cobertas em uma época que, durante a fecundação e a gestação, não era boa devido à falta de disponibilidade de alimento para a produção de ração de boa qualidade, e, por isso, esse tamanho de leitegada ao nascer ter sido prejudicado em relação ao anterior e ao próximo, em virtude da má nutrição.…”

Section: Os Valores De Aic E Bic Também Apontaram O Modelo 1 Como O Qunclassified

Modelos de regressão aleatória com diferentes estruturas de variância residual para descrever o tamanho da leitegada

Cavalcante-Neto¹,

Tholon²,

Lui³

et al. 2011

Rev. Ciênc. Agron.

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Resumo -Objetivou-se comparar modelos de regressão aleatória com diferentes estruturas de variância residual, a fim de se buscar a melhor modelagem para a característica tamanho da leitegada ao nascer (TLN). Utilizaram-se 1.701 registros de TLN, que foram analisados por meio de modelo animal, unicaracterística, de regressão aleatória. As regressões fixa e aleatórias foram representadas por funções contínuas sobre a ordem de parto, ajustadas por polinômios ortogonais de Legendre de ordem 3. Para averiguar a melhor modelagem para a variância residual, considerou-se a heterogeneidade de variância por meio de 1 a 7 classes de variância residual. O modelo geral de análise incluiu grupo de contemporâneo como efeito fixo; os coeficientes de regressão fixa para modelar a trajetória média da população; os coeficientes de regressão aleatória do efeito genético aditivo-direto, do comumde-leitegada e do de ambiente permanente de animal; e o efeito aleatório residual. O teste da razão de verossimilhança, o critério de informação de Akaike e o critério de informação bayesiano de Schwarz apontaram o modelo que considerou homogeneidade de variância como o que proporcionou melhor ajuste aos dados utilizados. As herdabilidades obtidas foram próximas a zero (0,002 a 0,006). O efeito de ambiente permanente foi crescente da 1 a (0,06) à 5 a (0,28) ordem, mas decrescente desse ponto até a 7 a ordem (0,18). O comum-de-leitegada apresentou valores baixos (0,01 a 0,02). A utilização de homogeneidade de variância residual foi mais adequada para modelar as variâncias associadas à característica tamanho da leitegada ao nascer nesse conjunto de dado. Palavras-chave -Função de covariância. Parâmetro genético. Fêmea suína.Abstract -The objective of this work was to compare random regression models with different residual variance structures, so as to obtain the best modeling for the trait litter size at birth (LSB) in swine. One thousand, seven hundred and one records of LSB were analyzed. LSB was analyzed by means of a random-regression, single-characteristic animal model. The fixed and random regressions were represented by continuous functions over the farrowing order, adjusted by third-order Legendre's orthogonal polynomials. To obtain the best modeling for the residual variance, variance heterogeneity was assumed by means of 1 to 7 classes of residual variance. The general analysis model included a contemporary group; the fixed regression coefficients for modeling the population's average trajectory; the random regression coefficients of the direct additive genetic effects both of the litter and of the animal's permanent environment; and the residual random effect. The likelihood-ratio test, Akaike's information criterion, and Schwarz's Bayesian information criterion appointed the model that considered variance homogeneity as being the one that provided the best adjustment to the data used. Overall, the heritabilities obtained were close to zero (0.002 to 0.006). Regarding the permanent environment proportion, different magnitudes were o...

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Tamanho da leitegada e pesos médios, ao nascer e aos 21 dias de idade, de leitões da raça Large White

Cited by 15 publications

References 1 publication

Effects of cross-fostering on performance of piglets

Effects of cross-fostering on performance of piglets

Research Article Association of MC4R, FABP3 and DGAT1 gene polymorphisms with reproductive traits in two domestic pig lines

Modelos de regressão aleatória com diferentes estruturas de variância residual para descrever o tamanho da leitegada

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