Heritability for reproduction traits in Polish and Norwegian populations of dairy goat

Bagnicka, Emilia; Wallin, Ewa; Łukaszewicz, M.; Ådnøy, Tormod

doi:10.1016/j.smallrumres.2005.09.033

Cited by 39 publications

(42 citation statements)

References 16 publications

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“…Heritabilities for LS1 were similar to those found by Bagnicka et al (2007) for Polish and Norwegian goats, where heritabilities were 0.14 and 0.18 at first kidding for each breed respectively. For LS2 heritabilities were also on the same range.…”

Section: Resultssupporting

confidence: 74%

Genetic parameters of litter size in Creole goats and their implication for a breeding programme including adaptation traits

Gunia

Mandonnet

Guy

et al. 2010

Advances in Animal Biosciences

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The selection index will include traits measured during performance recording. These traits can be the same as in the objective or correlated to them. They will be adapted from the French sheep performance recording. Pre-weaning growth and reproduction parameters such as fertility and litter size will be recorded. In addition to these traits, post-weaning growth and faecal egg count (FEC) will also be recorded. FEC gives an indication of the level of parasitism of the animals. Genetic parameter estimationThe genetic parameters were estimated to calculate the weighting of the traits in the index (Gunia et al., 2010b). The experimental Creole goat flock at INRA Gardel provided enough data for the calculation of the genetic parameters. More than 20 years of data about growth and reproduction traits were available. Organisation of the breeding programmeThe mating scheme will be designed. A sample of interested farmers (owning 300 does in total) will select the Creole goat. They will sell improved reproducers to a ''user'' group of farmers. These users will rear Creole goats and sell them for meat purpose, either in totally pure breed systems, or by using Creole does as a maternal line for crossbreeding. The different organisations of the programme will be studied with extension services to choose the most adapted solution. ConclusionAs it happened for other indigenous breeds, the value of the Creole goat was long underestimated (Gauly et al., 2010). Technical, economical, and genetic factors were taken into account in this programme to allow a more efficient selection of the Creole goat. The disease resistance characteristic of Creole goat was emphasised along with growth and reproduction traits. All participants (farmers, research, extension services) were integrated in this project.

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Section: Resultssupporting

confidence: 74%

Genetic parameters of litter size in Creole goats and their implication for a breeding programme including adaptation traits

Gunia

Mandonnet

Guy

et al. 2010

Advances in Animal Biosciences

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“…Estimates of additive genetic variance (σ 2 a), residual variance (σ 2 e), phenotypic variance (σ 2 p) and heritability (h 2 ) of age at first kidding, weight at first kidding, litter size at birth, litter weight at birth, gestation length, post-partum heat and kidding interval and repeatability of litter size at birth and kidding interval of Black Bengal kids are in Table 4.14 which are comparable to those results reported by Ribeiro et al (2000), Lobo et al (2005), Menendez et al (2003), Rao and Notter (2000), Neopane (2000), Ricordeau (1991), Bagnicka (2007), Sarmento et al (2003) and Vatankhah et al (2008). It appears from the table that heritability estimates of those traits are rather low, and reflect the generally small genetic variance for the reproductive traits.…”

Section: Variance Components and Heritabilitysupporting

confidence: 85%

Selection of Black Bengal Buck Based on Some Reproductive Performance of Their Progeny at Semi-Intensive Rearing System

Husain

Khandoker

et al. 2013

JAS

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The objective of this study was to select Black Bengal Buck Based on some reproductive performance of their progeny. The least-squares means for overall reproductive performances of age of first kidding (AFK), weight at first kidding (WFK), gestation length (GL), kidding interval (KI), post-partum heat (PPT), litter size at birth (LS) and litter weight at birth were 465.6 days, 13.22 kg, 145.34 days, 302.5 days, 123.84 days, 1.61 and 1.66 kg, respectively. The effect of flock and generation were significant (p<0.05) for AFK, WFK, KI, PPT, LS and LWB. The effect of parity of doe was significant (p<0.01) for LSB and LWB. The effect of season was significant (p<0.05) for KI, PPT and LWB. The heritability value for these traits was ranges from 0.17 to 0.24 and predicted breeding value from -0.003 to 0.445. According to the genetic worth of the buck the highest breeding value of reproductive traits were found in the progeny of Buck No. 32, followed by Buck No. 52, 54, 81 and 87. This progeny tested bucks may be used for the improvement of the reproductive potentials of Black Bengal goat through Artificial Insemination (A.I). The lowest breeding value of reproductive traits was found from the progeny of Buck No. 3 followed by Buck No. 11. The low estimates of heritability obtained for reproductive traits indicated that selection based on the doe's own performance may result in slow genetic improvement therefore; the progeny testing program will be beneficial to the farmers and fulfill their need by supplying superior sires of high genetic merit.

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“…In the current study the heritability for AFK was low (0.08), but within a range and with sufficient genetic variance to suggest this trait would respond to selection. The heritability for this trait was lower than those estimated in the United States Bagnicka et al (2007), for which it was higher, genetic variance was found to be between 80% and 89% lower in this population, compared with the studies cited above, despite being based on a larger number of records in most cases. The management of the herd in the present study was such that animals were bred upon reaching a mature weight of~32 kg.…”

Section: Pseudopregnancycontrasting

confidence: 75%

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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Heritability for reproduction traits in Polish and Norwegian populations of dairy goat

Cited by 39 publications

References 16 publications

Genetic parameters of litter size in Creole goats and their implication for a breeding programme including adaptation traits

Genetic parameters of litter size in Creole goats and their implication for a breeding programme including adaptation traits

Selection of Black Bengal Buck Based on Some Reproductive Performance of Their Progeny at Semi-Intensive Rearing System

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

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