Zhenbang Hu

ORCID: 0000-0001-7145-5684
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About
Contact & Profiles
Research Areas
  • Soybean genetics and cultivation
  • Legume Nitrogen Fixing Symbiosis
  • Nematode management and characterization studies
  • Genetic Mapping and Diversity in Plants and Animals
  • Plant pathogens and resistance mechanisms
  • Smart Agriculture and AI
  • Metal Forming Simulation Techniques
  • Plant nutrient uptake and metabolism
  • Leaf Properties and Growth Measurement
  • Spectroscopy and Chemometric Analyses
  • Plant Stress Responses and Tolerance
  • Advanced machining processes and optimization
  • Metallurgy and Material Forming
  • Greenhouse Technology and Climate Control
  • Plant responses to water stress
  • Plant Pathogens and Resistance
  • Plant Molecular Biology Research
  • Plant-Microbe Interactions and Immunity
  • Metal and Thin Film Mechanics
  • Advanced Surface Polishing Techniques
  • Advanced Measurement and Metrology Techniques
  • Photosynthetic Processes and Mechanisms
  • MicroRNA in disease regulation
  • Chromosomal and Genetic Variations
  • Remote Sensing in Agriculture

Northeast Agricultural University
2016-2025

Fujian Normal University
2024

Yale University
2024

Harvard University
2024

Tsinghua–Berkeley Shenzhen Institute
2024

University of Electronic Science and Technology of China
2024

Institut des Sciences des Plantes de Paris Saclay
2024

Xi'an Jiaotong University
2014-2019

Harbin FRP Research Institute
2017

China University of Geosciences
2010-2012

10.1016/j.ijmachtools.2006.01.033 article EN International Journal of Machine Tools and Manufacture 2006-06-22

Increasing the yield of soybean (Glycine max L. Merrill) is a main aim breeding. The 100-seed weight critical factor for yield. To facilitate genetic analysis quantitative traits and to improve accuracy marker-assisted breeding in soybean, valuable mapping population consisting 194 chromosome segment substitution lines (CSSLs) was developed. In these lines, different chromosomal segments Chinese cultivar Suinong 14 were substituted into background wild soja Sieb. & Zucc.) ZYD00006. Based on...

10.1371/journal.pone.0149380 article EN cc-by PLoS ONE 2016-03-02

Plant DnaJA proteins act as molecular chaperones in response to environmental stressors. The purpose of this study was characterize the function and regulatory mechanisms genes soybean. Gene expression profiles various soybean tissues at stages development indicated that GmDnaJAs coordination stress plant hormone responses. GmDnaJA6 identified a candidate regulator saline alkaline resistance overexpression lines showed increased tolerance. DnaJ interacted with Hsp70, GmHsp70 tolerance plants...

10.1016/j.cj.2023.06.005 article EN cc-by-nc-nd The Crop Journal 2023-07-11

Soybean bacterial spot disease is a predominant that impairs the quality and yield of soybean produce. In order to minimize production losses greatest extent possible, rapid detection identification progression stages are crucial. However, conventional techniques used for identifying exhibit limitations in terms providing real-time objective analysis dynamically significant differences manifestation. present study, novel sliding segmentation method was proposed solving problem insufficient...

10.1016/j.compag.2023.108170 article EN cc-by-nc-nd Computers and Electronics in Agriculture 2023-08-24

ABSTRACT Soil salinization is a substantial environmental stressor that limits plant growth and development. has, therefore, emerged as barrier to crop production, particularly affecting soybean production in arable regions. Cultivating varieties with high salt tolerance an efficient approach for improving on land soil salinization. The development of plants exposed stress involve numerous physical molecular regulation networks. Therefore, comprehensive understanding the mechanisms...

10.1002/fes3.70073 article EN cc-by Food and Energy Security 2025-03-01

Abstract With the development of digital agriculture, 3D reconstruction technology has been widely used to analyse crop phenotypes. To date, most research on field crops limited analysis population characteristics. Therefore, in this study, we propose a method based low-cost phenotype during whole growth period. Based phenotypic parameters extracted from model, identified “phenotypic fingerprint” relevant phenotypes throughout period soybean plants and completed plant patterns using logistic...

10.1038/s41598-020-63720-2 article EN cc-by Scientific Reports 2020-04-27

The study of plant phenotypes based on 3D models has become an important research direction for automatic phenotype acquisition. Building a labeled three-dimensional dataset the whole growth period can help development crop in point cloud segmentation. Therefore, demand model datasets with organ-level markers is growing rapidly. In this study, five different soybean varieties were selected, and reconstruction was carried out (13 stages) using multiple-view stereo technology (MVS). Leaves,...

10.3390/agriculture13071321 article EN cc-by Agriculture 2023-06-28

Soybean is one of the most important food and oil crops in world. Plant height (PH) number nodes on main stem (NNMS) are quantitative traits closely related to soybean yield. In this study, we used 208 chromosome segment substitution lines (CSSL) populations constructed using "SN14" "ZYD00006" for trait locus (QTL) mapping PH NNMS. Combined with bulked segregant analysis (BSA) by extreme materials, 8 consistent QTLs were identified. According gene annotation QTL interval, a total 335 genes...

10.3390/ijms21010042 article EN International Journal of Molecular Sciences 2019-12-19

Abstract The establishment of symbiotic interactions between leguminous plants and rhizobia requires complex cellular programming activated by Rhizobium Nod factors (NFs) as well type III effector (T3E)-mediated signaling. However, the mechanisms which different signals jointly affect symbiosis are still unclear. Here we describe mediating cross-talk broad host range Sinorhizobium fredii HH103 T3E Nodulation Outer Protein L (NopL) NF signaling in soybean. NopL physically interacts with...

10.1038/s41467-024-50228-w article EN cc-by Nature Communications 2024-07-12

ABSTRACT Soybean mosaic virus (SMV) stands as a prominent and widespread threat to soybean ( Glycine max L. Merr.), the foremost legume crop globally. Attaining thorough comprehension of alterations in transcriptional network soybeans response SMV infection is imperative for profound insight into mechanisms viral pathogenicity host resistance. In this investigation, we isolated 50 294 protoplasts from newly developed leaves plants subjected both mock inoculation. Subsequently, utilized...

10.1111/pce.15164 article EN Plant Cell & Environment 2024-09-20

First pod height (FPH) is a quantitative trait in soybean [Glycine max (L.) Merr.] that affects mechanized harvesting. A compatible combination of the FPH and harvester required to ensure efficiently harvested. In this study, 147 recombinant inbred lines, which were derived from cross between 'Dongnong594' 'Charleston' over 8 years, used identify major loci (QTLs) associated with FPH. Using composite interval mapping method WinQTLCart (ver. 2.5), 11 QTLs identified. They distributed on five...

10.3389/fpls.2018.01280 article EN cc-by Frontiers in Plant Science 2018-09-19

10.1016/j.jmatprotec.2004.04.010 article EN Journal of Materials Processing Technology 2004-06-28

Malate dehydrogenase (MDH) is a widely expressed enzyme that plays key role in plant growth, development, and the stress response. However, information on MDH genes soybean genome limited. Seventeen members of family were identified by genome-wide analysis, presence conserved protein motifs was analyzed. The divided into five clusters according to their phylogenetic relationships. intracellular localizations six GmMDHs determined confocal microscopy Arabidopsis mesophyll protoplasts....

10.1016/j.jia.2023.12.036 article EN cc-by-nc-nd Journal of Integrative Agriculture 2024-01-01

Phytophthora sojae infection severely impairs soybean production. We previously identified a dirigent protein, GmDRR1 (Glycine max Disease Resistant Response 1), that increases resistance to P. sojae. However, the molecular basis of function remained largely uncharacterized. In present study, analysis GmDRR1-RNAi, GmDRR1-overexpressing, and CRISPR/Cas9-derived Gmdrr1 mutant lines revealed expression significantly restricted growth. Combining co-immunoprecipitation with liquid...

10.1016/j.cj.2021.08.009 article EN cc-by-nc-nd The Crop Journal 2021-10-25

Abstract Plant height is closely related to seed yield of soybean. The goal this study was identify important loci affecting soybean plant using meta‐analysis based on a reference physical map. QTL s mapped across eight years with RIL population by Win QTLC art v2.5. 182 from database and our research were collected, each projected onto the map software BioMercator v2.1. confidence interval meta‐ ranged 0.09 5.07 Mb, mean phenotypic variance 4.9% 73.0%. Furthermore, 4,259 candidate genes...

10.1111/pbr.12500 article EN Plant Breeding 2017-07-06

In some legume⁻rhizobium symbioses, host specificity is influenced by rhizobial nodulation outer proteins (Nops). However, the genes encoding that interact with Nops remain unknown. We generated an Ensifer fredii HH103 NopP mutant (HH103ΩNopP), and analyzed nodule number (NN) dry weight (NDW) of 10 soybean germplasms inoculated wild-type E. or strain. An analysis recombinant inbred lines (RILs) revealed quantitative trait loci (QTLs) associated interactions. A genomic region containing two...

10.3390/ijms19113438 article EN International Journal of Molecular Sciences 2018-11-02

Soybeans are an important cash crop and widely used as a source of vegetable protein edible oil. MicroRNAs (miRNA) endogenous small RNA that play regulatory role in the evolutionarily conserved system gene expression. In this study, we selected four lines with extreme phenotypes, well high or low oil content, from chromosome segment substitution line (CSSL) constructed suinong (SN14) ZYD00006, planted sampled at three stages grain development for sequencing expression analysis. The results...

10.3390/genes10060408 article EN Genes 2019-05-28

Soluble sugar content in seeds is an important quality trait of soybean. In this study, 57 quantitative loci (QTLs) related to soluble contents soybean were collected from databases and published papers. After meta-overview-collinearity integrated analysis refine QTL intervals, eight consensus QTLs identified. To further verify the QTLs, a population chromosome segment substitution lines (CSSLs) was analyzed. Two containing fragments covering regions recurrent parent selected: one line...

10.1016/s2095-3119(21)63653-5 article EN cc-by-nc-nd Journal of Integrative Agriculture 2022-06-09

Abstract As soybean seed fatty acid content is valued in food, animal feed and some industrial applications, plant breeders continually aim to improve constituent value. This study analysed 163 original quantitative trait loci ( QTL s) related from databases references revealed 43 consensus s. Meta‐analysis using BioMercator ver.2.1 indicated that these were located across 16 linkage groups LG excluding D1a, C1, M H. Moreover, the overview method was used optimize s based on statistical...

10.1111/pbr.12562 article EN Plant Breeding 2018-02-14

To improve the CNC machine tools precision, a thermal error modeling for motorized spindle was proposed based on time series analysis, considering length of cutting and declined angles, real-time compensation implemented. A five-point method applied to measure radial declinations axial expansion with eddy current sensors, solving problem that three-point measurement cannot obtain angle errors. Then stationarity sequences determined by Augmented Dickey-Fuller Test Algorithm,...

10.1155/2014/784218 article EN cc-by Mathematical Problems in Engineering 2014-01-01

Increasing the protein content of soybean seeds through a higher ratio glycinin is important for breeding and food processing; therefore, integration different quantitative trait loci (QTLs) great significance. In this study, we investigated collinearity seed QTLs. We identified 192 collinear QTLs that formed six hotspot regions. The two most regions had 36-10 36-20 as hub nodes. used chromosome segment substitution line (CSSL) population QTL validation CSSL materials with Five contents in...

10.1021/acs.jafc.8b04602 article EN Journal of Agricultural and Food Chemistry 2018-12-10
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