91 resultados para Heifer
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Changes in diet carbohydrate amount and type (i.e., starch vs. fiber) and dietary oil supplements can affect ruminant methane emissions. Our objectives were to measure methane emissions, whole-tract digestibility, and energy and nitrogen utilization from growing dairy cattle at 2 body weight (BW) ranges, fed diets containing either high maize silage (MS) or high grass silage (GS), without or with supplemental oil from extruded linseed (ELS). Four Holstein-Friesian heifers aged 13 mo (BW range from start to finish of 382 to 526 kg) were used in experiment 1, whereas 4 lighter heifers aged 12 mo (BW range from start to finish of 292 to 419 kg) were used in experiment 2. Diets were fed as total mixed rations with forage dry matter (DM) containing high MS or high GS and concentrates in proportions (forage:concentrate, DM basis) of either 75:25 (experiment 1) or 60:40 (experiment 2), respectively. Diets were supplemented without or with ELS (Lintec[AU1: Add manufacturer name and location.]; 260 g of oil/ kg of DM) at 6% of ration DM. Each experiment was a 4 × 4 Latin square design with 33-d periods, with measurements during d 29 to 33 while animals were housed in respiration chambers. Heifers fed MS at a heavier BW (experiment 1) emitted 20% less methane per unit of DM intake (yield) compared with GS (21.4 vs. 26.6, respectively). However, when repeated with heifers of a lower BW (experiment 2), methane yield did not differ between the 2 diets (26.6 g/kg of DM intake). Differences in heifer BW had no overall effect on methane emissions, except when expressed as grams per kilogram of digestible organic matter (OMD) intake (32.4 vs. 36.6, heavy vs. light heifers). Heavier heifers fed MS in experiment 1 had a greater DM intake (9.4 kg/d) and lower OMD (755 g/kg), but no difference in N utilization (31% of N intake) compared with heifers fed GS (7.9 kg/d and 799 g/kg, respectively). Tissue energy retention was nearly double for heifers fed MS compared with GS in experiment 1 (15 vs. 8% of energy intake, respectively). Heifers fed MS in experiment 2 had similar DM intake (7.2 kg/d) and retention of energy (5% of intake energy) and N (28% of N intake), compared with GS-fed heifers, but OMD was lower (741 vs. 765 g/kg, respectively). No effect of ELS was noted on any of the variables measured, irrespective of animal BW, and this was likely due to the relatively low amount of supplemental oil provided. Differences in heifer BW did not markedly influence dietary effects on methane emissions. Differences in methane yield were attributable to differences in dietary starch and fiber composition associated with forage type and source.
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The objective of this study was to identify and quantify the influence of F (inbreeding coefficient) on weaning weight (WW), weight gain from weaning to 18 months of age (WG345), finishing visual score (precocity) at 18 months of age, muscling visual score at 18 months of age (MUS), hip height (HH), scrotal circumference at 18 months of age (SC), heifer probability of pregnancy at 14 months of age (PP14), and stayability (STAY) in Brazilian Nellore cattle. The complete pedigree included 417,552 animals born between 1984 and 2007 on 12 farms located in the states of Mato Grosso do Sul, Sao Paulo and Bahia. Following the observation of a statistically significant effect (P<0.05) of the covariates individual inbreeding coefficient (F) and maternal inbreeding coefficient, regression analysis of each trait, adjusted for all other effects, was performed as a function of the linear and quadratic effect of F and maternal F (when significant). Inbreeding negatively affected all traits studied (P<0.05), except for muscling. A quadratic effect of individual F on WW, WG345, HH and PP14, and a quadratic effect of maternal F on WG345 and HH were observed. Levels of inbreeding higher than 7-11% affected negatively growth and reproductive performance of Nellore cattle. Therefore, inbreeding should be avoided, except for purposes of genetic breeding whose main objective is the fixation of certain alleles in the population. (C) 2010 Elsevier B.V. All rights reserved.
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The objective of this study was to evaluate the possible use of biometric testicular traits as selection criteria for young Nellore bulls using Bayesian inference to estimate heritability coefficients and genetic correlations. Multitrait analysis was performed including 17,211 records of scrotal circumference obtained during andrological assessment (SCAND) and 15,313 records of testicular volume and shape. In addition, 50,809 records of scrotal circumference at 18 mo (SC18), used as an anchor trait, were analyzed. The (co) variance components and breeding values were estimated by Gibbs sampling using the Gibbs2F90 program under an animal model that included contemporary groups as fixed effects, age of the animal as a linear covariate, and direct additive genetic effects as random effects. Heritabilities of 0.42, 0.43, 0.31, 0.20, 0.04, 0.16, 0.15, and 0.10 were obtained for SC18, SCAND, testicular volume, testicular shape, minor defects, major defects, total defects, and satisfactory andrological evaluation, respectively. The genetic correlations between SC18 and the other traits were 0.84 (SCAND), 0.75 (testicular shape), 0.44 (testicular volume), -0.23 (minor defects), -0.16 (major defects), -0.24 (total defects), and 0.56 (satisfactory andrological evaluation). Genetic correlations of 0.94 and 0.52 were obtained between SCAND and testicular volume and shape, respectively, and of 0.52 between testicular volume and testicular shape. In addition to favorable genetic parameter estimates, SC18 was found to be the most advantageous testicular trait due to its easy measurement before andrological assessment of the animals, even though the utilization of biometric testicular traits as selection criteria was also found to be possible. In conclusion, SC18 and biometric testicular traits can be adopted as a selection criterion to improve the fertility of young Nellore bulls.
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Four rumen-fistulated Holstein heifers (134 +/- 1 kg initial BW) were used in a 4 x 4 Latin square design to determine the effects of delaying daily feed delivery time on intake, ruminal fermentation, behavior, and stress response. Each 3-wk experimental period was preceded by 1 wk in which all animals were fed at 0800 h. Feed bunks were cleaned at 0745 h and feed offered at 0800 h (T0, no delay), 0900 (T1), 1000 (T2), and 1100 (T3) from d1 to 21 with measurements taken during wk 1 and 3. Heifers were able to see each other at all times. Concentrate and barley straw were offered in separate compartments of the feed bunks, once daily and for ad libitum intake. Ruminal pH and saliva cortisol concentrations were measured at 0, 4, 8, and 12 h postfeeding on d 3 and 17 of each experimental period. Fecal glucocorticoid metabolites were measured on d 17. Increasing length of delay in daily feed delivery time resulted in a quadratic response in concentrate DMI (low in T1 and T2; P = 0.002), whereas straw DMI was greatest in T1 and T3 (cubic P = 0.03). Treatments affected the distribution of DMI within the day with a linear decrease observed between 0800 and 1200 h but a linear increase during nighttimes (2000 to 0800 h), whereas T1 and T2 had reduced DMI between 1200 and 1600 h (quadratic P = 0.04). Water consumption (L/d) was not affected but decreased linearly when expressed as liters per kilogram of DMI (P = 0.01). Meal length was greatest and eating rate slowest in T1 and T2 (quadratic P <= 0.001). Size of the first meal after feed delivery was reduced in T1 on d 1 (cubic P = 0.05) and decreased linearly on d 2 (P = 0.01) after change. Concentrate eating and drinking time (shortest in T1) and straw eating time (longest in T1) followed a cubic trend (P = 0.02). Time spent lying down was shortest and ruminating in standing position longest in T1 and T2. Delay of feeding time resulted in greater daily maximum salivary cortisol concentration (quadratic P = 0.04), which was greatest at 0 h in T1 and at 12 h after feeding in T2 (P < 0.05). Daily mean fecal glucocorticoid metabolites were greatest in T1 and T3 (cubic P = 0.04). Ruminal pH showed a treatment effect at wk 1 because of increased values in T1 and T3 (cubic P = 0.01). Delaying feed delivery time was not detrimental for rumen function because a stress response was triggered, which led to reduced concentrate intake, eating rate, and size of first meal, and increased straw intake. Increased salivary cortisol suggests that animal welfare is compromised.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Avaliou-se o ganho de peso de novilhas mestiças, 1/4 Simental e 3/4 Nelore, empregando-se o método experimental de esterilização, que consiste na introdução intrauterina de esferas inoxidáveis. Foram utilizadas 100 novilhas nulíparas, destinadas ao abate, com idades entre 12 e 24 meses e com média de peso de 275kg. Todos os animais receberam o mesmo manejo alimentar, em sistema de pastejo em Brachiaria brizantha, com água e sal mineral ad libitum, e pesagens a intervalos de 28 dias, obedecido o jejum prévio de 16 horas. Os animais foram distribuídos aleatoriamente em quatro grupos (G) experimentais: G1 - composto por 25 novilhas testemunhas; G2 - por 25 novilhas esterilizadas e aplicação de um modificador orgânico; G3 - por 25 novilhas esterilizadas; e G4 - por 25 novilhas não esterilizadas e aplicação de um modificador orgânico. Foram introduzidas 12 esferas de aço inoxidável, previamente esterilizadas, no útero de cada novilha. Houve maior ganho de peso total e diário entre os animais do G2, 140,50kg e 0,578g/dia vs 108,58kg e 0,447g/dia (G1), 103,73kg e 0,427g/dia (G3), 102,68kg e 0,423g/dia (G4), respectivamente. Esta técnica pode ser recomendada aos criadores.
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The aim of the present study was to investigate if river buffalo calves (Bubalus bubalis) have equal access to all cows and if milk is thus equally available to all of them. We recorded suckling/allosuckling behaviour and weight gain (WG) of 29 calves (14 males and 15 females), with special consideration to their sex, birth order (BO) and age. Cows' nursing behaviour and milli production (MP) were also considered. While males tended to be born earlier than females during this study, this was not the trend in the overall herd records. The cows' MP was not effected by the calves' sex. However, bull-calves presented greater mean WG, and mean times spent in individual filial (IF) and in communal nonfilial (CNF) suckling than heifer-calves, which showed greater communal filial (CF) suckling than the former during the first 4 months of life. The WG was associated with IF for bull-calves (r = 0.680 and 0.765, respectively, for the periods from birth to 4th and 8th months of age), and to CNF for heifer-calves (r = 0.628, for the period from birth to 8th month). Results from multiple regression analysis showed independent effects of each suckling category on the calf WG, and such effects were variable according to the calf's sex. BO was negatively correlated to calves' WG (bull-calves: r(s) = - 0.873 and - 0.799, from birth to 4th and gth months, respectively; heifer-calves: r(s) = - 0.531 from birth to 4th month). Specifically for bull-calves, there was a positive correlation between BO and MP (r(s) = 0.528 and 0.633, from birth to 4th and 8th months of age, respectively). The correlation between BO and IF was negative in both sexes, indicating that calves that were born early had more opportunities to suckle individually from their mothers. For heifer-calves, BO was positively correlated with CF (two periods), and negatively with CNF (from birth to 8th month of age), suggesting that heifer-calves were most often accompanied by other calves during suckling when they were born later. The data taken together indicate that sex and/or BO influenced decisively social interactions during suckling, promoting differential development among the calves. In animal husbandry, if a homogenous WG is desired, these factors have to be taken into consideration. (C) 2000 Elsevier B.V. B.V. All rights reserved.
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Componentes de variância e parâmetros genéticos para características de crescimento foram estimados usando diferentes modelos em um rebanho da raça Gir. Utilizou-se o método da máxima verossimilhança restrita sob modelo animal univariado. Os modelos de análise incluíram os efeitos fixos de mês de nascimento, grupo contemporâneo e idade da vaca. Cinco modelos diferindo quanto aos efeitos aleatórios foram testados. Para todas as características da fase pré-desmama, o teste de razão de verossimilhança (LRT) indicou o modelo com efeito genético aditivo direto e efeitos maternos (genético e de ambiente permanente) como o de melhor ajuste. As estimativas de herdabilidade direta para peso ao nascer (PN), peso aos quatro meses corrigido para 120 dias (P120), peso à desmama corrigido para 210 dias (P210) e ganho diário na fase pré-desmama (GPRE) foram, respectivamente, 0,31± 0,07; 0,14 ± 0,06; 0,23 ± 0,07 e 0,22 ± 0,07. Para as características da fase pós-desmama, o modelo que forneceu o melhor ajuste aos dados incluiu apenas o efeito genético aditivo direto. As estimativas de herdabilidade direta para peso de machos ao final da prova de ganho de peso (P378), peso de fêmeas corrigido para 550 dias (P550), ganho diário na prova de ganho de peso (G112), altura aos 378 dias em machos (AM) e altura aos 550 dias, em fêmeas (AF) foram, respectivamente: 0,45 ± 0,11; 0,29 ± 0,11; 0,37 ± 0,11; 0,79 ± 0,13 e 0,36 ± 0,0. Os efeitos maternos, tanto o genético quanto o de ambiente permanente, foram fontes de variação importantes para as características da fase pré-desmama, não sendo verificada influência desses efeitos sobre as características da fase pós-desmama.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objetivou-se verificar a possibilidade de utilização da prenhez de novilhas aos 16 meses (Pr16) como critério de seleção e as possíveis associações genéticas entre prenhez em novilhas aos 16 meses e o peso à desmama (PD) e o ganho de peso médio da desmama ao sobreano (GP). Foram realizadas análises uni e bicaracterísticas para estimação dos componentes de co-variância, empregando-se um modelo animal linear para peso à desmama e ganho de peso da desmama ao sobreano e não-linear para Pr16. A estimação dos componentes de variância e da predição dos valores genéticos dos animais foi realizada por Inferência Bayesiana. Distribuições flat foram utilizadas para todos os componentes de co-variância. As estimativas de herdabilidade direta para Pr16, PD e GP foram 0,50; 0,24 e 0,15, respectivamente, e a estimativa de herdabilidade materna para o PD, de 0,07. As correlações genéticas foram -0,25 e 0,09 entre Pr16, PD e GP, respectivamente, e a correlação genética entre Pr16 e o efeito genético materno do PD, de 0,29. A herdabilidade da prenhez aos 16 meses indica que essa característica pode ser utilizada como critério de seleção. As correlações genéticas estimadas indicam que a seleção por animais mais pesados à desmama, a longo prazo, pode diminuir a ocorrência de prenhez aos 16 meses de idade. Além disso, a seleção para maior habilidade materna favorece a seleção de animais mais precoces. No entanto, a seleção para ganho de peso da desmama ao sobreano não leva a mudanças genéticas na precocidade sexual em fêmeas.
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Foram estimadas as correlações genéticas entre características de produção de leite (produção de leite, gordura, proteína e duração da lactação em até 305 dias, na primeira lactação), características de peso (taxa de crescimento de novilhas entre 12-24 meses e peso médio de vacas) e idade ao primeiro parto, em uma população de fêmeas Mestiço Leiteiro Brasileiro (MLB), por meio de metodologia REML, sob modelo animal. As estimativas de herdabilidade das características estudadas na ordem acima foram, respectivamente, 0,28± 0,08, 0,30±0,11, 0,28±0,09, 0,19±0,07, 0,18±0,06, 0,42±0,10 e 0,48±0,12. As correlações genéticas entre peso médio da vaca e a produção de leite, gordura e proteína foram, respectivamente, -0,22±0,22, -0,49±0,31 e -0,22±0,23 e da taxa de crescimento das novilhas com a produção de leite, gordura e proteína foram respectivamente, -0,59±0,35, -0,73±0,44 e -0,62±0,37. As correlações genéticas entre produção de leite, peso médio das vacas e taxa de crescimento das novilhas com idade ao primeiro parto foram respectivamente, 0,05±0,18, -0,05±0,18 e 0,02±0,20. A alta correlação genética (0,93±0,02) entre produção de leite e duração da lactação indicou que não se deve remover a variação na duração da lactação na seleção de gado leiteiro tropical.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objetivou-se, com este trabalho, estimar a herdabilidade (h²) para prenhez de novilhas e sua correlação genética (rg) com idade ao primeiro parto (IPP), em animais da raça Nelore. A prenhez de novilhas foi definida de três formas: prenhez aos 16 meses (Pr16) - para as novilhas que pariram com menos de 31 meses, atribuiu-se 1 (sucesso) e, para aquelas que pariram após 30,99 meses ou que não pariram, atribuiu-se 0 (fracasso); prenhez aos 24 meses (Pr24) - para as novilhas que pariram até 46 meses (incluindo as Pr16), foi atribuído 1 e, para aquelas que não pariram 0; e prenhez da novilha (PrN) - atribuiu-se classificação 2 para as que pariram com menos de 31 meses, 1 para as que pariram entre 31 e 46 meses e 0 para as que não pariram. Os arquivos, analisados pelo Método R e Inferência Bayesiana, continham registros de 30.802 novilhas desmamadas. As análises forneceram médias de estimativas de h² de 0,52, 0,12 e 0,16 para Pr16, Pr24 e PrN, respectivamente, pelo Método R. O valor médio obtido por Inferência Bayesiana foi de 0,45 para Pr16. A rg estimada entre Pr16 e IPP foi -0,32. Os resultados indicam que, para selecionar para precocidade sexual, é necessário expor todas as fêmeas em idades jovens e que a mensuração da taxa de prenhez por meio da Pr16 é pertinente, uma vez que esta característica apresenta variabilidade genética alta e deve responder eficientemente à seleção com possibilidades de rápido ganho genético. A análise indicou também que Pr16 e IPP são determinadas em grande parte por genes diferentes.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)