Risk factors associated with dairy goats stayability

Perez-Razo, M. A.; Sánchez, Fausto; Torres-Hernández, G.; Becerril-Pérez, Carlos Miguel; Gallegos‐Sánchez, Jaime; González-Cosı́o, F.; Meza-Herrera, César A.

doi:10.1016/j.livprodsci.2004.02.008

Cited by 22 publications

(17 citation statements)

References 26 publications

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“…Actual litter size proportions for singles, twins, triplets and quadruplets were 61, 35, 4 and 0.2%, respectively. The average litter size and litter weight in this study was similar to other Alpine and Saanen goats breed for the most part of the year in Mexico (Perez‐Razo et al. 2004), but it was lower than that reported by Amoah et al.…”

Section: Resultssupporting

confidence: 73%

The Relationship between Linear Type Traits and Fertility Traits in High‐yielding Dairy Goats

Mellado

Valencia

et al. 2008

Reprod Domestic Animals

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Reproductive data collected from 13 medium-size goat farms in central Mexico (582 goats), were used to investigate if linear type traits influenced reproductive performance of high-yielding dairy goats. Data were analysed using multiple stepwise forward logistic regressions. Goats with the higher scores for strength were 1.43 times more likely (p < 0.05) to have larger litters (1.49 vs 1.39) than goats with lower strength. Goats approaching level rump angles were 1.68 times more likely (p < 0.01) to have larger litters, compared with goats with extremely sloped rump angles (1.48 vs 1.37). Goats with rear legs nearly straight (posty) in hock tended (p < 0.08) to presented larger litters than goats with rear legs slightly angled (sickled) in hock (1.49 vs 1.38). Less pronounced rump angle was favourable associated (p < 0.05) with litter weight (4.88 vs 4.53 kg) compared with goats with low pin bones. Goats with poorer udder texture were 1.42 more likely (p < 0.05) to have heavier litters than goats with good udder texture. Goats with faulty mammary system tended (p < 0.07) to have heavier litters than goats with good mammary system. Increasing udder height was associated (p < 0.05) with increasing number of services per conception. Goats with good fore udder attachment and non-refined heads were at reduced risk (p < 0.05) for stillbirths. Goats with stronger median ligament were 65% less likely (p < 0.05) to lose their foetuses than those with looser udder support. Our findings indicate that a greater litter size and litter weight is expected in goats as rump angle becomes less sloped. This study showed that a relationship exists between strength of goats and litter size, and that some traits linked to high milk yield were antagonist to some reproductive traits.

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Section: Resultssupporting

confidence: 73%

The Relationship between Linear Type Traits and Fertility Traits in High‐yielding Dairy Goats

Mellado

Valencia

et al. 2008

Reprod Domestic Animals

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“…This result was also found in dairy cattle (Pirlo et al, 2000). Desire, Mucha, Coffey, Mrode, Broadbent and Conington The association may be due to the fact that older goats are closer to their full, mature weight, and are therefore able to allocate more resources to lactation (Pérez-Razo et al, 2004). The contrasting low, negative genetic correlation between AFK and MY520 suggests that younger AFK may be genetically associated with higher MY520 within the first lactation, although this correlation was associated with a high standard error.…”

Section: Pseudopregnancymentioning

confidence: 53%

“…Kennedy et al (1982) estimated a very low genetic correlation of −0.05 between AFK and milk yield in dairy goats. On a phenotypic level, Pérez-Razo et al (2004) found that increased AFK was simultaneously associated with higher stayability -defined as the proportion of animals that remain productive until a fixed end point (Pellerin and Browning, 2012) -and lower number of lactations. Castañeda-Bustos et al (2014) found a low, negative genetic (−0.03 ±0.06) correlation between AFK and productive life at 72 months (defined as the total number of days in production recorded up to 72 months of age), which is the opposite direction to that estimated in the present study, however, given the high error of estimation in both studies it is difficult to predict the true association between these traits.…”

Section: Pseudopregnancymentioning

confidence: 99%

Pseudopregnancy and aseasonal breeding in dairy goats: genetic basis of fertility and impact on lifetime productivity

Desire

Mucha

Coffey

et al. 2018

Animal

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Until recently, the main selection focus in UK dairy goats has been on milk yield. To develop a selection index suitably weighted for a variety of traits, it is important to understand the genetic relationships between production, health and fertility traits. This study focussed on three aspects of reproduction that are of interest to goat breeders. (1) Out of season (OOS) kidding ability: goats are highly seasonal breeders so achieving consistent, year-round dairy production presents a challenge. It may be possible to select for extended or shifted breeding cycles, however, there are no published studies on the genetic basis of seasonal kidding ability, and a genetic correlation with milk production in dairy goats; (2) age at first kidding (AFK): a reduced AFK offers the opportunity for more rapid genetic improvement, as well as reducing the amount of time and resources required to raise the animals to producing age; (3) pseudopregnancy (PPG): as it is difficult to diagnose pregnancy within 30 days of mating, high herd levels of PPG could add a significant delay in breeding replacement animals, or commencing a new lactation. Using records from 9546 goats, the objective of this study was to investigate the genetic relationships between the reproductive traits described above, and the production traits 520-day milk yield (MY520), lifetime milk yield (MYLife) and lifetime number of days in milk (DIMLife). The 'out of season' phenotype was defined as week of kidding relative to the 4 weeks of the year where the highest average number of births occur. Incidences of PPG that occurred during the first lactation were used as cases, while goats with none were assigned as controls. Relevant fixed and random effects were fitted in the models. In line with other reproduction traits, heritability estimates were low ranging from 0.08 to 0.11. A negative genetic correlation was found between AFK and MY520 (−0.22 ± 0.10), whereas a positive genetic correlation was found between PPG and DIMLife (0.58 ± 0.11). Pseudopregnancy and OOS were positively genetically correlated (0.36 ± 0.15). All other genetic correlations were very low. The results of this study indicate that selection for the reproductive traits analysed is feasible, without adversely affecting MYLife.

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“…For developing efficient selection programs, it is necessary to estimate genetic parameters (Weppert and Hayes, 2004). Some of the traits considered as potential selection criteria in dairy goats are milk, fat, and protein yields, type traits (Montaldo and Manfredi, 2002), reproductive traits (Torres-Vázquez et al, 2009;Montaldo et al, 2010), and longevity (Pérez-Razo et al, 2004). Longevity, despite being a little-studied trait not used so far in the genetic evaluation of goats, is of great economic importance, as it combines many traits associated with the permanence of an animal in the herd (Tsuruta et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Estimation of genetic parameters for productive life, reproduction, and milk-production traits in US dairy goats

Castañeda-Bustos

Montaldo

Torres-Hernández

et al. 2014

Journal of Dairy Science

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Heritabilities and correlations for milk yield (MY), fat yield (FY), protein yield (PY), combined fat and protein yield (FPY), fat percentage (F%), protein percentage (P%), age at first kidding (AFK), interval between the first and second kidding (KI), and real and functional productive life at 72mo (FPL72) of 33,725 US dairy goats, were estimated using animal models. Productive life was defined as the total days in production until 72mo of age (PL72) for goats having the opportunity to express the trait. Functional productive life was obtained by correcting PL72 for MY, FY, PY, and final type score (FS). Six selection indexes were used, including or excluding PL72, with 6 groups of different economic weights, to estimate the responses to selection considering MY, FY, PY, and PL72 as selection criteria. The main criteria that determined the culling of a goat from the herd were low FS, MY, and FY per lactation. Heritability estimates were 0.22, 0.17, 0.37, 0.37, 0.38, 0.39, 0.54, 0.64, 0.09, and 0.16 for PL72, FPL72, MY, FY, PY, FPY, F%, P%, KI, and AFK, respectively. Most genetic correlations between the evaluated traits and PL72 or FPL72 were positive, except for F% (-0.04 and -0.06, respectively), P% (-0.002 and -0.03, respectively), and AFK (-0.03 and -0.01, respectively). The highest genetic correlations were between FPL72 and MY (0.39) and between PL72 and MY (0.33). Most phenotypic correlations between the traits evaluated and FPL72 and PL72 were positive (>0.23 and >0.26, respectively), except for F% (-0.004 and -0.02, respectively), P% (-0.05 and -0.02), KI (-0.01 and -0.07), and AFK (-0.08 and -0.08). The direct selection for PL72 increased it by 102.28d per generation. The use of MY, FY, PY, KI, or AFK as selection criteria increased PL72 by 39.21, 27.33, 35.90, -8.28, or 2.77d per generation, respectively. The inclusion of PL72 as selection criterion increased the expected response per generation from 0.15 to 17.35% in all selection indices studied.

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Risk factors associated with dairy goats stayability

Cited by 22 publications

References 26 publications

The Relationship between Linear Type Traits and Fertility Traits in High‐yielding Dairy Goats

The Relationship between Linear Type Traits and Fertility Traits in High‐yielding Dairy Goats

Pseudopregnancy and aseasonal breeding in dairy goats: genetic basis of fertility and impact on lifetime productivity

Estimation of genetic parameters for productive life, reproduction, and milk-production traits in US dairy goats

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