Factors affecting kid survival in five goat breeds

Perez-Razo, M. A.

doi:10.4141/a97-049

Cited by 19 publications

(8 citation statements)

References 8 publications

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“…There was no significant difference in survival rate between ram and doe kids (84.0 ± 0.89 vs. 84.9 ± 0.89). This is in contrast with the findings of Perez-Razo et al (1998). Pre-weaning survival rates for kids in the different studs are presented in Table 2.…”

Section: Resultscontrasting

confidence: 54%

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Factors affecting pre-weaning kid mortality in South African Angora goats

Snyman¹

2010

SA J. An. Sci.

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________________________________________________________________________________ AbstractThe data used for this study were collected in 12 different Angora goat studs from 2000 to 2004. Data collected on 17534 kids born alive in the different studs were included in the analyses. Average pre-weaning mortality rate was 11.5% and ranged from 8.6% to 16.5% (of the 17534 kids born alive, 2018 kids died between birth and weaning at four months of age). Mortality rate in male kids was higher than that recorded for female kids (11.9% vs. 11.1%). When comparing the management systems followed from mating up until weaning in the different studs with the corresponding pre-weaning mortality rates, it is obvious that there was no discernible trend. Of the 2018 deaths recorded, the probable cause for only 601 (29.8%) deaths was known. The most important problems were predators, small, unthrifty kids who needed help with suckling, does having little or no milk and does abandoning their kids. When combining the latter three causes with udder problems (3.5%), 35.7% of pre-weaning mortalities was due to these causes. Birth weight and sex of the kid had a significant influence on pre-weaning mortality rate. Single-born kids had the lowest mortality rate (10%), followed by twin-born (13%) and triplet-born (22%) kids. Despite large differences in mortality rate recorded between sires within flocks, a heritability of 0.04 ± 0.01 was estimated for pre-weaning mortality rate. This low overall heritability could be attributed to the fact that causes of mortality differed considerably among kids and many of these causes may have no genetic background. ________________________________________________________________________________

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Section: Resultscontrasting

confidence: 54%

“…Very little work on mortality rate in goats, especially Angora goats, has been published to date (Van der Westhuizen, 1980;Terblanché, 1988;Husain et al, 1995;Geyer, 1998;Perez-Razo et al, 1998;Awemu et al, 1999, Turkson, 2003. These authors cited losses of 10 to 30%.…”

Section: Introductionmentioning

confidence: 99%

Factors affecting pre-weaning kid mortality in South African Angora goats

Snyman¹

2010

SA J. An. Sci.

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“…Survival rates were greater (P = 0.025) for March-born vs. May-born kids, decreased with increasing htter size, and were less (P < 0,01) in aged does (Table 3), Sex of kid did not affect kid survival rates. The current literature is inconsistent in defining the impact of nongenetic factors on goat kid survival to weaning (Erasmus et al, 1985;Gebrelul et al, 1994;Husain et al, 1995;Pérez-Razo et al, 1998;Alexandre et al, 1999;Marai et al, 2002). Three of 4 studies found month (or season) of birth to be important, 3 of 5 indicated sex of kid was significant, 3 of 5 reported age (or parity) of doe to be important, and 2 of 6 indicated litter size significantly affected kid survival to weaning.…”

Section: Preweaning Kid Survivalmentioning

confidence: 92%

Birth to weaning kid traits from a complete diallel of Boer, Kiko, and Spanish meat goat breeds semi-intensively managed on humid subtropical pasture1,2

Browning

Leite-Browning

2011

Journal of Animal Science

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Boer, Kiko, and Spanish meat goats were semi-intensively managed in a complete 3-breed diallel mating scheme to evaluate genetic effects on preweaning kid performance. Over a 6-yr period, 1,547 kids were born in March and May with 1,173 kids raised by their dams to weaning at 3 mo of age. March-born kids were lighter (P < 0.01) at birth, but had greater (P < 0.01) preweaning ADG and survival rates and heavier (P < 0.01) weaning weights than May-born kids. For birth weight, the direct Boer effect was positive (P < 0.01) and direct effects were negative (P < 0.01) for Kiko and Spanish. The direct Kiko effect for preweaning ADG was positive (P < 0.05), whereas other direct breed effects for ADG and all direct effects for weaning weight did not differ from 0 (P > 0.10). Maternal Boer effects were negative (P < 0.01) for birth weight and weaning weight, whereas maternal Kiko effects were significantly (P < 0.05) positive for preweaning ADG and weaning weight. Maternal Spanish effect was positive (P < 0.05) for birth weight, but did not differ from 0 (P > 0.5) for preweaning ADG or weaning weight. Heterosis for birth weight was exhibited (P < 0.01) for each pair of breed crosses, but only between Boer and Kiko for ADG and weaning weight. Kiko and Spanish dams had greater (P < 0.01) preweaning kid survival rates than Boer dams, but the former 2 did not differ (P = 0.72). Significant genetic variation was observed between meat goat breeds for kid performance to weaning. Maternal breed effects were more influential than direct breed effects. Boer goats were not superior to Kiko or Spanish for preweaning kid performance when semi-intensively managed on humid, subtropical pasture. Kiko should be a preferred breed and to a lesser extent Spanish for enhancing birth to weaning kid performance. Findings of this study emphasize the importance of proper doe breed selection in achieving desired kid performance to weaning in meat goats.

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“…143% of kids born in Rendang District increased the efficiency of goat production. The results of this study were in agreements with Perez-Razo et al (1998) who reported that high survival rate of kids reared in Rendang District minimized the cost of rearing as it resulted in more productive goats and thus provided more profit to the households as more kids and goats sold. Maintaining good kid rearing management hence high survival rates of newly born kids could be one of the development strategies that will help in improving goat production in Rendang District.…”

Section: Goats and Their Profilessupporting

confidence: 89%

“…Litter size was one aspect of maternal abilities affecting birth weight and was used as an indicator to measure the reproductive performance of goats. Published data on litter size that was reported from 0.99 to 2.34 in different genotypes of does with information about the type of birth, sex of kid, and parity of does under different ecological and management conditions is summarized in (1996) In prolific species, the high level of competition between foetuses had a meaningful effect on developmental capacity, survival rate of the foetus and individual growth rate of the animals born in the litter and during the preweaning period (Nowak 1996;Perez-Razo et al 1998;Mellado et al 2000a;Nowak et al 2000;Simsek & Bayraktar 2006;Simsek et al 2007;Mahmilia & Elieser 2008). In other words, higher litter size was correlated with lower birth weight and higher losses of young in goats during the first few days of life (Ruvuna et al 1991;Menendez-Buxadera et al 2003;Menendez-Buxadera et al 2004).…”

Section: Litter Sizementioning

confidence: 99%

Improvement of rearing goats in Bali Province, Indonesia

Doloksaribu¹

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i AbstractLack of baseline quantitative data on the reproductive and productive performance of goats in Bali Province has limited our ability to identify factors that could lead to their improvement. This study aimed to rectify this lack of data and to measure constraints to, challenges of, and opportunities for improving goat production in Bali, through a hybrid method of Strengths, Weaknesses, Opportunities and Threats and Analytic Hierarchy Process analyses.Data was collected through direct observations, structured formal household interviews, key informant interviews, focus group discussions, and case studies as well as from the surrounding environment and market assessments from January to September 2014. This involved interviewing 175 households with 2,017 goats. Of these, 63 households with 1,169 goats were in Rendang District, Karangasem Regency; 44 households with 590 goats were in Banjar, Busungbiu and Grogak Districts in Buleleng Regency; and 68 households with 258 goats were in Mendoyo District, Jembrana Regency. Data was analysed by using descriptive statistics, correlate bivariate and general linear model multivariate using SPSS version 24.Results revealed that households had an average of 2.3 labourers with a ratio of 5.2 ± 0.4 goats per labourer who were aged 42 ± 1 year. This indicated that household labourers in Bali Province worked 412 ± 9.9 hours/household/year to look after 11.5 ± 0.9 goats/flock in either battery or colony housing with a cut and carry feeding system. Farmers cultivated on average 1.4 ± 0.05 ha/household with vegetables or commodity plantations integrated with goat rearing for 10.5 ± 0.7 years. Of the 175 farmers, 63%, 21% and 15% of farmers graduated from Grades 6, 9 and 12, respectively, and only one farmer graduated from university. This study generated new, important and detailed information on goat production by smallholder farmers in Bali Province. Suggested ways to improve goat production included: High performance (as indicated by GM/doe) was associated with a higher turn off rate (underpinned by a higher reproductive rate); Organic goat rearing management in Rendang District was a model for Bali; The ideal labourer to goat flock size ratio was 1:20 goats; At least 25% of the flock should be does, with a 75% annual turn off rate; The kidding interval should be 8 months; Does should only be kept up to their fourth or fifth kidding; Farmers need to keep records of their goats; A -One gate marketing system‖ should be used to maintain profitable market prices; and  Farmers needed networks with the Indonesia Research Institute for Animal Production to ensure quality breeds, feeds and efficient rearing goat management systems were used in Bali.

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Factors affecting kid survival in five goat breeds

Cited by 19 publications

References 8 publications

Factors affecting pre-weaning kid mortality in South African Angora goats

Factors affecting pre-weaning kid mortality in South African Angora goats

Birth to weaning kid traits from a complete diallel of Boer, Kiko, and Spanish meat goat breeds semi-intensively managed on humid subtropical pasture1,2

Improvement of rearing goats in Bali Province, Indonesia

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