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G3 (Bethesda, Md.)
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July 13, 2016
Genomic Signatures of North American Soybean Improvement Inform Diversity Enrichment Strategies and Clarify the Impact of Hybridization
Justin N Vaughn, Zenglu Li
Plant Methods
|
February 12, 2025
SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments
Nathaniel Burner, Donna K Harris, Zenglu Li
The Plant Genome
|
September 26, 2023
Genomic selection of soybean (Glycine max) for genetic improvement of yield and seed composition in a breeding context
Mark J Miller, Qijian Song, Zenglu Li
Plant Methods
|
August 16, 2022
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot
Samuel C McDonald, James Buck, Zenglu Li
Molecular Breeding : New Strategies in Plant Improvement
|
June 14, 2023
Pinpointing <i>Rcs3</i> for frogeye leaf spot resistance and tracing its origin in soybean breeding
Samuel C McDonald, James W Buck, Zenglu Li
Biotechnology Letters
|
May 28, 2014
Non-toxic and efficient DNA extractions for soybean leaf and seed chips for high-throughput and large-scale genotyping
Zachary King, Jonathan Serrano, H Roger Boerma, et al.
Frontiers in Plant Science
|
May 26, 2023
Genomic prediction of optimal cross combinations to accelerate genetic improvement of soybean (<i>Glycine max</i>)
Mark J Miller, Qijian Song, Benjamin Fallen, et al.
Molecular Genetics and Genomics : MGG
|
January 5, 2023
Genome-wide association study reveals novel loci and a candidate gene for resistance to frogeye leaf spot (Cercospora sojina) in soybean
Samuel C McDonald, James Buck, Qijian Song, et al.
Plos One
|
October 2, 2023
Multi-level perception fusion dehazing network
Xiaohua Wu, Zenglu Li, Xiaoyu Guo, et al.
Plant Methods
|
November 20, 2013
An R package for SNP marker-based parent-offspring tests
Hussein Abdel-Haleem, Pengsheng Ji, H Roger Boerma, et al.
Page
of 6
Search research articles
Search
Showing results (1-10 of 55) with videos related to
Sort By:
Page
of 6
G3 (Bethesda, Md.)
|
July 13, 2016
Genomic Signatures of North American Soybean Improvement Inform Diversity Enrichment Strategies and Clarify the Impact of Hybridization
Justin N Vaughn, Zenglu Li
Plant Methods
|
February 12, 2025
SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments
Nathaniel Burner, Donna K Harris, Zenglu Li
The Plant Genome
|
September 26, 2023
Genomic selection of soybean (Glycine max) for genetic improvement of yield and seed composition in a breeding context
Mark J Miller, Qijian Song, Zenglu Li
Plant Methods
|
August 16, 2022
Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot
Samuel C McDonald, James Buck, Zenglu Li
Molecular Breeding : New Strategies in Plant Improvement
|
June 14, 2023
Pinpointing <i>Rcs3</i> for frogeye leaf spot resistance and tracing its origin in soybean breeding
Samuel C McDonald, James W Buck, Zenglu Li
Biotechnology Letters
|
May 28, 2014
Non-toxic and efficient DNA extractions for soybean leaf and seed chips for high-throughput and large-scale genotyping
Zachary King, Jonathan Serrano, H Roger Boerma, et al.
Frontiers in Plant Science
|
May 26, 2023
Genomic prediction of optimal cross combinations to accelerate genetic improvement of soybean (<i>Glycine max</i>)
Mark J Miller, Qijian Song, Benjamin Fallen, et al.
Molecular Genetics and Genomics : MGG
|
January 5, 2023
Genome-wide association study reveals novel loci and a candidate gene for resistance to frogeye leaf spot (Cercospora sojina) in soybean
Samuel C McDonald, James Buck, Qijian Song, et al.
Plos One
|
October 2, 2023
Multi-level perception fusion dehazing network
Xiaohua Wu, Zenglu Li, Xiaoyu Guo, et al.
Plant Methods
|
November 20, 2013
An R package for SNP marker-based parent-offspring tests
Hussein Abdel-Haleem, Pengsheng Ji, H Roger Boerma, et al.
Page
of 6