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Gota Morota

Showing results (11-20 of 82) with videos related to

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Plants (Basel, Switzerland)|January 10, 2026
Reciprocal BLUP: A Predictability-Guided Multi-Omics Framework for Plant Phenotype PredictionHayato Yoshioka, Gota Morota, Hiroyoshi Iwata
G3 (Bethesda, Md.)|June 5, 2016
MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in ChickenGota Morota, Timothy M Beissinger, Francisco Peñagaricano
Journal of Dairy Science|October 9, 2017
Predicting bull fertility using genomic data and biological informationRostam Abdollahi-Arpanahi, Gota Morota, Francisco Peñagaricano
Plant Direct|June 28, 2019
ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studiesWaseem Hussain, Malachy Campbell, Harkamal Walia, et al.
BMC Plant Biology|July 26, 2024
Refining flowering date enhances sesame yield independently of day-lengthIdan Sabag, Shaked Pnini, Gota Morota, et al.
Genes|May 27, 2026
Impact of Trait Measurement Error on Quantitative Genetic Analysis of Computer Vision-Derived TraitsYe Bi, Yijian Huang, Haipeng Yu, et al.
G3 (Bethesda, Md.)|October 6, 2020
A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association StudiesZigui Wang, Deborah Chapman, Gota Morota, et al.
Journal of Animal Science|February 24, 2021
ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1Gota Morota, Hao Cheng, Dianne Cook, et al.
Frontiers in Genetics|March 30, 2023
Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesameIdan Sabag, Ye Bi, Zvi Peleg, et al.
The Plant Genome|July 11, 2019
Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal TraitsMalachy Campbell, Mehdi Momen, Harkamal Walia, et al.
Pageof 9

Showing results (11-20 of 82) with videos related to

Sort By:
Pageof 9
Plants (Basel, Switzerland)|January 10, 2026
Reciprocal BLUP: A Predictability-Guided Multi-Omics Framework for Plant Phenotype PredictionHayato Yoshioka, Gota Morota, Hiroyoshi Iwata
G3 (Bethesda, Md.)|June 5, 2016
MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in ChickenGota Morota, Timothy M Beissinger, Francisco Peñagaricano
Journal of Dairy Science|October 9, 2017
Predicting bull fertility using genomic data and biological informationRostam Abdollahi-Arpanahi, Gota Morota, Francisco Peñagaricano
Plant Direct|June 28, 2019
ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studiesWaseem Hussain, Malachy Campbell, Harkamal Walia, et al.
BMC Plant Biology|July 26, 2024
Refining flowering date enhances sesame yield independently of day-lengthIdan Sabag, Shaked Pnini, Gota Morota, et al.
Genes|May 27, 2026
Impact of Trait Measurement Error on Quantitative Genetic Analysis of Computer Vision-Derived TraitsYe Bi, Yijian Huang, Haipeng Yu, et al.
G3 (Bethesda, Md.)|October 6, 2020
A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association StudiesZigui Wang, Deborah Chapman, Gota Morota, et al.
Journal of Animal Science|February 24, 2021
ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1Gota Morota, Hao Cheng, Dianne Cook, et al.
Frontiers in Genetics|March 30, 2023
Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesameIdan Sabag, Ye Bi, Zvi Peleg, et al.
The Plant Genome|July 11, 2019
Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal TraitsMalachy Campbell, Mehdi Momen, Harkamal Walia, et al.
Pageof 9