引用次数
引用: 1,851
H-指数: 25
I10-指数 : 56
出版物: 147
37 An Assessment of Genomic Relatedness across Management Units.
H Yu , M L Spangler , R M Lewis , G Morota
Journal of Animal Science 96 ( suppl_2) 20 -20
2018
Insights on Multi-Spectral Vegetation Indices Derived From Uav-Based High-Throughput Phenotyping for Indirect Selection in Tropical Wheat Breeding
Silva CMe , HC Mezzomo , JPO Ribeiro , VS Signorini
2023
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows. Animals 2021, 11, 1993
LFM Mota , S Pegolo , T Baba , G Morota
s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
2021
Causal Meaning of Genomic Predictors: Implication on Genome-Enabled Selection Modeling
BD Valente , G Morota , GJM Rosa , D Gianola
Kernel-based whole-genome prediction of complex traits: a review. Front. Genet. 5: 363
G Morota , D Gianola
12
2014
VTag: automatic pipeline to annotate video data for pig phenomics studies
CJ Chen , G Morota , H Cheng
Wageningen Academic Publishers 545 -548
2022
Single Nucleotide Polymorphism Effects on Lamb Fecal Egg Count Estimated Breeding Values in Progeny-Tested Katahdin Sires. Front. Genet. 13: 866176. doi: 10.3389/fgene. 2022.866176
DR Notter , M Heidaritabar , JM Burke , M Shirali
Frontiers in Genetics| www. frontiersin. org 13
2022
Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits
Vital Gonçalves MT , G Morota , PM de Almeida Costa , Pereira Vidigal PM
2020
Effect of inbreeding in productive traits in Nellore cattle
G Mamani , BF Santana , G Oliveira Jr , EC Mattos
Predictive ability of genome-assisted statistical models under various forms of gene action. Sci Rep 8: 12309
M Momen , AA Mehrgardi , A Sheikhi , A Kranis
9
2018
Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits. Plant Genome 12: 180075
M Campbell , M Momen , H Walia , G Morota
6
2019
Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle. Sci. Rep. 10: 7751
S Pegolo , M Momen , G Morota , GJM Rosa
5
2020
MeSH annotation of the chicken genome: MeSH-informed enrichment analysis and MeSH-guided semantic similarity among functional terms and gene products
Gota Morota , Timothy Mathes Beissinger , Francisco Peñagaricano
bioRxiv 034975
2015
Genome-enabled Prediction of Complex Traits with Kernel Methods: What Have We Learned?
Gota Morota , Daniel Gianola , Jose Crossa
Proceedings of the World Congress on Genetics Applied to Livestock Production 212
14
2014
Consideration of heat stress in multiple lactation test–day models for dairy production traits
Gota Morota , Akio Onogi , Hiroyoshi Iwata , Yamato Atagi
Interbull Bulletin ( 55) 81 -87
2019
Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning.
Gota Morota , Mehdi Momen , Madhav Bhatta , Waseem Hussain
Plant direct 5 ( 1)
2021
Forecasting dynamic body weight of nonrestrained pigs from images using an RGB-D sensor camera.
Gota Morota , Kiho Lee , Haipeng Yu
Translational animal science 5 ( 1)
8
2021
SeedExtractor: An Open-Source GUI for Seed Image Analysis
Gota Morota , Harkamal Walia , Hongfeng Yu , Puneet Paul
Frontiers in Plant Science 11 581546
2021
GCA: an R package for genetic connectedness analysis using pedigree and genomic data.
Gota Morota , Haipeng Yu
BMC Genomics 22 ( 1) 119 -119
2021
Structural equation modeling for unraveling the multivariate genomic architecture of milk proteins in dairy cattle
Gota Morota , Sara Pegolo , Alessio Cecchinato , Giovanni Bittante
Journal of Dairy Science 104 ( 5) 5705 -5718
2021
Daniel Gianola Harkamal Walia Guilherme J. M. Rosa Mehdi Momen Haipeng Yu Malachy T Campbell Andreas Kranis Bruno Valente M.L. Spangler Waseem Hussain Francisco Peñagaricano Masanori Koyama Sara Pegolo Alessio Cecchinato Giovanni Bittante Puneet Paul Fabyano Fonseca e Silva Kent Weigel Hao Cheng Samodha Charaka Fernando