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Nima Khalilisamani
Nima Khalilisamani
Research Technician
Verified email at csiro.au
Title
Cited by
Cited by
Year
Genomic selection in aquaculture: application, limitations and opportunities with special reference to marine shrimp and pearl oysters
KR Zenger, MS Khatkar, DB Jones, N Khalilisamani, DR Jerry, ...
Frontiers in genetics 9, 411091, 2019
1672019
Phylogenetics and population genetics of Plotosus canius (Siluriformes: Plotosidae) from Malaysian coastal waters
NK Samani, Y Esa, SMN Amin, NFM Ikhsan
PeerJ 4, e1930, 2016
192016
Estimating heritability using family-pooled phenotypic and genotypic data: a simulation study applied to aquaculture
N Khalilisamani, PC Thomson, HW Raadsma, MS Khatkar
Heredity 128 (3), 178-186, 2022
32022
Impact of genotypic errors with equal and unequal family contribution on accuracy of genomic prediction in aquaculture using simulation
N Khalilisamani, PC Thomson, HW Raadsma, MS Khatkar
Scientific Reports 11 (1), 18318, 2021
22021
Leveraging Transcriptomics-Based Approaches to Enhance Genomic Prediction: Integrating SNPs and gene-networks for Cotton Fibre Quality Improvement
N Khalilisamani, Z Li, FA Pettolino, P Moncuquet, A Reverter, ...
2024
Leveraging Transcriptomics-Based Approaches to Enhance Genomic Prediction: Integrating SNP weights and gene-networks for Cotton Fibre Quality Improvement
N Khalilisamani, Z Li, F Pettolino, P Moncuquet, A Reverter, CP MacMillan
bioRxiv, 2024.02. 14.580398, 2024
2024
Author Correction: Impact of genotypic errors with equal and unequal family contribution on accuracy of genomic prediction in aquaculture using simulation
N Khalilisamani, PC Thomson, HW Raadsma, MS Khatka
Scientific Reports 11, 2021
2021
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