Evidence map›Paper›PMID 40721682›Full record

ArticleTropical animal health and production2025

Influence of additive and maternal genetics on kid survival in Beetal goat.

Poonam Sevda, Yogesh C Bangar, Sunil Kumar, Man Singh, Rakesh Nehra, S P Dahiya

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Article in Tropical animal health and production, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Genetic evaluation of early reproductive traits in Beetal goats.Tropical animal health and production · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Poonam SevdaDepartment of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.
Yogesh C BangarDepartment of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India. yogeshbangar07@gmail.com.ORCID http://orcid.org/0000-0002-8861-161X
Sunil KumarDepartment of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.
Man SinghDepartment of Livestock Production Management, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.
Rakesh NehraDepartment of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.
S P DahiyaDepartment of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, 125004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of this study were to identify the important factors affecting kid mortality and to estimate additive and maternal influences associated with kid survival in Beetal goats using a Bayesian threshold modeling. Data were collected from 1295 animals born from 62 sires and 363 dams over 20 years of period (2004–2023) and classified for three survival (binary) traits as follows: survival of kids from birth to 3 months (S1), from birth to 6 months (S2) and from birth to 12 months of age (S3). The genetic evaluation was carried out using threshold animal models comprising direct and maternal effects using THRGIBBS1F90 and POSTGIBBSF90 programs. Mortality rates for the study population were estimated as 6.64% (95% CI = 5.35–8.14), 9.50% (95% CI = 7.96–11.23) and 11.12% (95% CI = 9.46–12.96) from S1, S2 and S3 traits, respectively. Kid mortality was significantly influenced by birth period, dam’s weight, birth weight and type of birth. Logistic regression revealed that kid mortality risk was significantly (P < 0.05) higher in earlier birth periods, lower-weight dams (< 29 kg) and low-birth-weight kids (< 2.5 kg), while sex and type of birth had a non-significant (P > 0.05) effect. Major causes of deaths were respiratory diseases (32.89%) and respiratory along with digestive diseases. Bayesian analysis showed that estimates for additive heritability for S1, S2 and S3 traits were 0.10, 0.18 and 0.20, respectively. The maternal genetic effects were more influential in early kid survival. The current finding indicated the increasing role of direct and maternal genetic effects on kid survival, emphasizing the need for selective breeding and improved management in Beetal goats.

Indexed as

GoatsMaternal InheritanceAnimalsAnimals, NewbornBayes TheoremBirth WeightBreedingFemaleMaleBeetal goatsBirth weightKid survivalMaternal effectsThreshold model

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.