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Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics.

ABSTRACT: Goats are adaptable to varied farming environments and contribute significantly towards sustainable livestock production and food security. Selective breeding of goats for improved performance is an important component of sustainable production. The objectives of the present study were to determine the most appropriate models of analysis for growth traits, to estimate genetic parameters, survival potential of kids from birth to 12 months of age and to estimate genetic trends for growth traits of Jamunapari kids at different ages. Genetic parameter estimates were obtained from 6590 records generated between 1982 and 2012 from 5922 animals with a pedigree covering over 13 generations. The most parsimonious model for early growth traits included permanent environmental effects due to the dam (PE) and litter effects. Similarly, the most appropriate model for early average daily gain (ADG) between birth and 3 or 6 months also included PE and litter effects. The estimates of heritability for survival from birth to 12 months of age ranged from 0.10 to 0.43. The estimates of heritability for ADG varied from 0.04 to 0.41. In general, higher estimates of heritability were observed when a sire model was fitted in the random effect. There was no genetic variation observed for survival between birth and 3 months of age. However, heritability estimates of between 0.18 and 0.39 were observed for survivability during post-weaning period to 12 months of age. The genetic trend at 9 months of age and 12 months of age was 0.144?kg 0.189?kg per year respectively. The genetic trend at all the ages was positive during the study period.

SUBMITTER: Rout PK

PROVIDER: S-EPMC6054051 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics.

Rout P K PK Matika O O Kaushik R R Dige M S MS Dass G G Singh M K MK Bhusan S S

Small ruminant research : the journal of the International Goat Association 20180801

Goats are adaptable to varied farming environments and contribute significantly towards sustainable livestock production and food security. Selective breeding of goats for improved performance is an important component of sustainable production. The objectives of the present study were to determine the most appropriate models of analysis for growth traits, to estimate genetic parameters, survival potential of kids from birth to 12 months of age and to estimate genetic trends for growth traits of ...[more]

PMID: 30078954

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Project description:BACKGROUND: Mortality due to cannibalism in laying hens is a difficult trait to improve genetically, because censoring is high (animals still alive at the end of the testing period) and it may depend on both the individual itself and the behaviour of its group members, so-called associative effects (social interactions). To analyse survival data, survival analysis can be used. However, it is not possible to include associative effects in the current software for survival analysis. A solution could be to combine survival analysis and a linear animal model including associative effects. This paper presents a two-step approach (2STEP), combining survival analysis and a linear animal model including associative effects (LAM). METHODS: Data of three purebred White Leghorn layer lines from Institut de Sélection Animale B.V., a Hendrix Genetics company, were used in this study. For the statistical analysis, survival data on 16,780 hens kept in four-bird cages with intact beaks were used. Genetic parameters for direct and associative effects on survival time were estimated using 2STEP. Cross validation was used to compare 2STEP with LAM. LAM was applied directly to estimate genetic parameters for social effects on observed survival days. RESULTS: Using 2STEP, total heritable variance, including both direct and associative genetic effects, expressed as the proportion of phenotypic variance, ranged from 32% to 64%. These results were substantially larger than when using LAM. However, cross validation showed that 2STEP gave approximately the same survival curves and rank correlations as LAM. Furthermore, cross validation showed that selection based on both direct and associative genetic effects, using either 2STEP or LAM, gave the best prediction of survival time. CONCLUSION: It can be concluded that 2STEP can be used to estimate genetic parameters for direct and associative effects on survival time in laying hens. Using 2STEP increased the heritable variance in survival time. Cross validation showed that social genetic effects contribute to a large difference in survival days between two extreme groups. Genetic selection targeting both direct and associative effects is expected to reduce mortality due to cannibalism in laying hens.

Project description:OBJECTIVE:The relationships between early growth parameters and bone mineral density (BMD) remain elusive now. In this study, we performed a large scale polygenic risk score (PRS) analysis to evaluate the potential impact of early growth parameters on the variations of BMD. METHODS:We used 2286 Caucasian subjects as cohort 1 and 3404 Framingham Heart Study (FHS) subjects as cohort 2 in this study. BMD at ulna & radius, hip and spine were measured using dual energy X-ray absorptiometry. BMD values were adjusted for age, sex, height and weight as covariates. Genome-wide single-nucleotide polymorphism (SNP) genotyping of the 2286 Caucasian subjects was performed using Affymetrix Human SNP Array 6.0. The GWAS datasets of early growth parameters were driven from the Early Growth Genetics Consortium, including birth weight (BW), birth head circumference (BHC), childhood body mass index (CBMI), pubertal height growth related indexes and tanner stage. Polygenic Risk Score (PRSice) and linkage disequilibrium (LD) score regression analysis were conducted to assess the genetic correlation between early growth parameters and BMD. RESULTS:We detected significant genetic correlations in cohort 1, such as total spine BMD vs. CBMI (p value?=?1.51?×?10-4, rg?=?0.4525), right ulna and radius BMD vs. CBMI (p value?=?1.51?×?10-4, rg?=?0.4399) and total body BMD vs. tanner stage (p value?=?7.00?×?10-4, rg?=?-0.0721). For cohort 2, significant correlations were observed for total spine BMD vs. height change standard deviation score (SDS) between 8?years and adult (denoted as PGF?+?PGM) (p value?=?3.97?×?10-4, rg?=?-0.1425), femoral neck BMD vs. the timing of peak height velocity by looking at the height change SDS between age 14?years and adult (denoted as PTF?+?PTM) (p value?=?7.04?×?10-4, rg?=?-0.2185), and total spine BMD vs. PTF?+?PTM (p value?=?6.86?×?10-4, rg?=?-0.2180). CONCLUSION:Our study results suggest that some early growth parameters could affect the variations of BMD.

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Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics.

Publications

Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics.

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