R.W. Waineina

ORCID: 0000-0001-7128-0693
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Genetic and phenotypic traits in livestock
  • Rangeland Management and Livestock Ecology
  • Animal Diversity and Health Studies
  • Livestock and Poultry Management
  • Cancer-related molecular mechanisms research
  • Genetic Mapping and Diversity in Plants and Animals
  • Livestock Management and Performance Improvement
  • Solar Radiation and Photovoltaics
  • Energy and Environment Impacts
  • Aquatic Ecosystems and Biodiversity
  • Reproductive Physiology in Livestock

Kenya Agricultural and Livestock Research Organization
2020-2024

University of Technology
2023

Moi University
2023

Egerton University
2020-2022

Artificial and natural selection in livestock is expected to leave unique footprints on their genomes. Goat breeds Kenya have evolved for survival, breeding, production various harsh ecological areas, genomes are likely acquired alleles adaptation such diverse environments other traits of economic importance. To investigate signals some selected goat Kenya, Alpine (n = 29), Galla 12), Saanen 24), Toggenburg 31) were considered. A total 53,347 single-nucleotide polymorphisms (SNPs) generated...

10.3389/fgene.2022.858923 article EN cc-by Frontiers in Genetics 2022-04-21

Population structure and relationship information among goats is critical for genetic improvement, utilization, conservation. This study explored population level of introgression four goat breeds in Kenya: the indigenous Galla (n = 12) three imported breeds, Alpine 29), Toggenburg 31), Saanen 24). Genetic diversity was analyzed using indices (polymorphic SNPs, mean allele frequency, observed expected heterozygosity inbreeding coefficient) within each breed. assessed model-based clustering...

10.46265/genresj.eqfq1540 article EN cc-by Genetic Resources 2021-06-17

Abstract Population structure and relationship information among goats is critical for genetic improvement, utilization conservation. This study explored population level of gene intermixing four goat genotypes in Kenya: Alpine (n = 30), Toggenburg 28), Saanen 24) Galla 12). The structuring relatedness were estimated using principal component analysis utilizing allele frequencies the SNP markers. Genotype relationships evaluated based on calculated Reynolds distances. A phylogenetic tree was...

10.1101/2020.07.06.189290 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-07-06

The aim of the study was to understand environmental conditions impacting reproductive performance Sahiwal cattle, focusing on temperature, relative humidity, and humidity index (RHI). These factors significantly influence rates, highlighting importance spatio-temporal variability studies for informed herd management decisions. This analyzed climate trends from 1998 2019 at Kenya Agricultural Livestock Research Organization (KALRO) Dairy Institute (DRI)-Naivasha, in Malewa Ward, Naivasha...

10.51317/ecjast.v1i1.537 article EN Editon Consortium journal of agricultural sciences and technology. 2024-10-16

Abstract The current study aimed at development of breeding objectives and estimation the economic values for traits importance to various dairy goat breeders associations. This was achieved through a bio-economic model derive selected traits. input output parameters used represented average performance Saanen, Toggenburg Alpine breeds. gross margin estimated using R software. Economic milk yield (MY, kg), pre-weaning survival rate (PrSr, %), post-weaning rate, (PoSR, doe (DoSR, kidding (Kr,...

10.21203/rs.3.rs-3630506/v1 preprint EN cc-by Research Square (Research Square) 2023-12-04

This study aimed to decipher the genetic diversity and structure of different dairy goat populations kept at KALRO-research station Naivasha facilitate national improvement program. We used 49,773 genome-wide SNP data quantify levels patterns among 243 individuals from five populations: Toggenburg (n=69), Alpine (n=54), Saneen (n=24), Kenya Dual Purpose (TKDPG) (n=4), Goat (KDPG)(n=11) crosses (n=81). Inbreeding coefficient, observed expected heterozygosity ranged from-0.01-0.07, 0.56-0.60...

10.3920/978-90-8686-940-4_707 article EN 2022-12-31

Artificial and natural selection in livestock is expected to leave unique footprints on their genomes. Goat breeds Kenya have evolved for survival, breeding production various harsh ecological areas, genomes are likely acquired alleles adaptation such diverse environments. To investigate signals of selection, we applied Integrated Haplotype Score (iHS) methods 50K SNP genotype data from four selected goat Kenya. Following the analyses, a total 171 candidate regions were detected studied...

10.3920/978-90-8686-940-4_515 article EN 2022-12-31
Coming Soon ...