Jianbo Zhang

Works (4)

Updated: January 4th, 2025 05:01

2024 article

High-Throughput Robotic Phenotyping for Quantifying Tomato Disease Severity Enabled by Synthetic Data and Domain-Adaptive Semantic Segmentation

He, W., Li, X., Zhang, Z., Chen, Y., Zhang, J., Panthee, D. R., … Xiang, L. (2024, December 13). JOURNAL OF FIELD ROBOTICS, Vol. 12.

By: W. He n, X. Li n, Z. Zhang n, Y. Chen n, J. Zhang n, D. Panthee n, I. Meadows n, L. Xiang n

author keywords: deep learning; disease detection; game engine; ground robots; high-throughput phenotyping; semantic segmentation; unsupervised domain adaptation
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 23, 2024

2021 journal article

Development of codominant SCAR markers to detect the <i>Pto , <i> Tm2 <sup>2 , <i>I3 and <i>Sw5 genes in tomato ( <i>Solanum lycopersicum )

Development of codominant SCAR markers to detect the Pto , . Plant Breeding, 140(2), 342–348.

By: J. Zhang n & D. Panthee n

Ed(s): K. Pillen

author keywords: I3; marker&#8208; assisted selection; Pto; SCAR marker; Sw5; Tm2(2)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: February 19, 2021

2021 journal article

Next-generation sequencing-based bulked segregant analysis without sequencing the parental genomes

G3 Genes|Genomes|Genetics, 12(2).

By: J. Zhang n & D. Panthee n

Ed(s): A. Lipka

author keywords: BSA-Seq; PyBSASeq; QTL; genomic region-trait association; structural variants
MeSH headings : Genome, Plant; Genomics / methods; High-Throughput Nucleotide Sequencing / methods; Polymorphism, Single Nucleotide; Quantitative Trait Loci
TL;DR: The modified significant structural variant method allows the detection of such associations without sequencing the parental genomes, leading to further lower the sequencing cost and making BSA-Seq more accessible to the research community and more applicable to the species with a large genome. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: December 6, 2021

2020 journal article

PyBSASeq: a simple and effective algorithm for bulked segregant analysis with whole-genome sequencing data

BMC BIOINFORMATICS, 21(1).

By: J. Zhang n & D. Panthee n

author keywords: Bulked segregant analysis; BSA-Seq; PyBSASeq; QTL; SNP-trait association
MeSH headings : Algorithms; Databases, Genetic; Oryza / genetics; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Software; Whole Genome Sequencing
TL;DR: The significant SNP method allows the detection of SNP-trait associations at much lower sequencing coverage than the current methods, leading to ~ 80% lower sequencing cost and making BSA-Seq more accessible to the research community and more applicable to the species with a large genome. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 30, 2020

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