Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Random regressions to model growth in Sandyno sheep, a synthetic breed developed for the Nilgiri hills of South India.

Tropical animal health and production - 14 Mar 2026

Venkataramanan R, Arthy V, Mohamedrilwan S, Prema N

Abstract excerpt

Random regression models (RRM) have been recognised as suitable for analysis of longitudinal data like growth. Growth in Sandyno sheep, a dual purpose (meat and wool) synthetic breed evolved from Nilagiri breed of South India by crossing with Merino and Rambouillet sheep was modeled using RRM to estimate genetic parameters and results obtained were compared with values already estimated using conventional...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Animal Husbandry
Share to Body Weight
Share to India

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Litter Size

Share to Models, Statistical

Share to Regression Analysis

Share to Selective Breeding

Share to Sheep, Domestic

Source

Identifiers

PMID: 41831127
DOI: 10.1007/s11250-026-04973-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Random regressions to model growth in Sandyno sheep, a synthetic breed developed for the Nilgiri hills of South India.PMID 41831127Read ↗

Estimates of direct and maternal (co)variance components as well as genetic parameters of growth traits in Nellore sheep.Semantic proximity Read ↗

Random regression models for the estimation of genetic and environmental covariance functions for growth traits in Santa Ines sheep.Semantic proximity Read ↗

Modelling growth in Suffolk and Charollais sheep populations using random regression models and validation of constrained polynomial correlation values.Semantic proximity Read ↗

Meta-analysis of genetic parameters for growth traits in meat, wool and dual-purpose sheep breeds in the world using a random-effects model.Semantic proximity Read ↗

Multi-trait Bayesian analysis and genetic parameter estimates in production characters of Mecheri sheep of India.Semantic proximity Read ↗

Estimation of genetic parameters and genetic changes for growth characteristics of Santa Ines sheep.Semantic proximity Read ↗

Estimation of (Co)Variance components and genetic parameters of fibre traits in Rambouillet sheep using multi-trait analysis.Semantic proximity Read ↗

Multivariate quantitative genetic analysis of body weight traits in Corriedale sheep.Semantic proximity Read ↗

Comparison between multiple-trait and random regression models for genetic evaluation of weight traits in Australian meat sheep.Semantic proximity Read ↗

Modelling the growth curve and estimation of associated genetic parameters in Munjal sheep.Semantic proximity Read ↗

Estimation of genetic parameters of growth traits in Magra sheep.Semantic proximity Read ↗

Genetic and non-genetic parameter estimates for growth traits and Kleiber ratios in Dorper × indigenous sheep.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.