Ao Zhang

ORCID: 0000-0003-1304-2181
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About
Contact & Profiles
Research Areas
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetics and Plant Breeding
  • Genetic and phenotypic traits in livestock
  • Wheat and Barley Genetics and Pathology
  • Plant Disease Resistance and Genetics
  • Plant Stress Responses and Tolerance
  • Topic Modeling
  • Plant Molecular Biology Research
  • Multimodal Machine Learning Applications
  • Crop Yield and Soil Fertility
  • Plant nutrient uptake and metabolism
  • Photosynthetic Processes and Mechanisms
  • Plant responses to water stress
  • Agricultural Science and Fertilization
  • Rice Cultivation and Yield Improvement
  • Plant Micronutrient Interactions and Effects
  • Plant-Microbe Interactions and Immunity
  • Domain Adaptation and Few-Shot Learning
  • Plant responses to elevated CO2
  • Natural Language Processing Techniques
  • Cancer-related molecular mechanisms research
  • Bioactive natural compounds
  • Seed Germination and Physiology
  • Wood Treatment and Properties
  • Flowering Plant Growth and Cultivation

Samueli Institute
2025

University of California, Los Angeles
2025

National University of Singapore
2022-2025

Shenyang Agricultural University
2014-2024

Beijing Forestry University
2020-2024

Beijing Institute of Technology
2024

Shenyang Pharmaceutical University
2024

Jilin University of Finance and Economics
2023

Jilin Medical University
2023

Jilin University
2023

Tar spot complex (TSC) is one of the most destructive foliar diseases maize ( L.) in tropical and subtropical areas Central South America, causing significant grain yield losses when weather conditions are conducive. To dissect genetic architecture TSC resistance maize, association mapping, conjunction with linkage was conducted on an association-mapping panel three biparental doubled-haploid (DH) populations using genotyping-by-sequencing (GBS) single-nucleotide polymorphisms (SNPs)....

10.3835/plantgenome2016.10.0099 article EN cc-by-nc-nd The Plant Genome 2017-05-25

Vision-Language Pre-training (VLP) models have shown promising capabilities in grounding natural language image data, facilitating a broad range of cross-modal tasks. However, we note that there exists significant gap between the objective forms model pre-training and fine-tuning, resulting need for large amounts labeled data to stimulate visual capability VLP downstream To address challenge, present Color-based Prompt Tuning (CPT), novel paradigm tuning models, which reformulates into...

10.1016/j.aiopen.2024.01.004 article EN cc-by-nc-nd AI Open 2024-02-01

Genomic selection is being used increasingly in plant breeding to accelerate genetic gain per unit time. One of the most important applications genomic maize predict and select best un-phenotyped lines bi-parental populations based on estimated values. In present study, 22 tropical genotyped with low density SNPs were evaluate prediction accuracy (

10.3389/fpls.2017.01916 article EN cc-by Frontiers in Plant Science 2017-11-08

Drought stress is recognized as a major constraint to maize yield production, the heat alone and in combination with drought are likely become increasing constraints. The association mapping genomic prediction analyses were conducted collection of 300 tropical subtropical inbred lines reveal genetic architecture grain flowering time under well-watered, stress, combined conditions. Out 381,165 genotyping-by-sequencing SNPs, 1661 significantly associated all 12 trait-environment combinations,...

10.3389/fpls.2018.01919 article EN cc-by Frontiers in Plant Science 2019-01-30

Abstract Genotyping-by-Sequencing (GBS) is a low-cost, high-throughput genotyping method that relies on restriction enzymes to reduce genome complexity. GBS being widely used for various genetic and breeding applications. In the present study, 2240 individuals from eight maize populations, including two association populations (AM), backcross first generation (BC1), BC1F2, F2, double haploid (DH), intermated B73 × Mo17 (IBM), recombinant inbred line (RIL) population, were genotyped using...

10.1038/s41598-020-73321-8 article EN cc-by Scientific Reports 2020-10-01

Pre-Trained Vision-Language Models (VL-PTMs) have shown promising capabilities in grounding natural language image data, facilitating a broad variety of cross-modal tasks. However, we note that there exists significant gap between the objective forms model pre-training and fine-tuning, resulting need for large amounts labeled data to stimulate visual capability VL-PTMs downstream To address challenge, present Cross-modal Prompt Tuning (CPT, alternatively, Colorful Tuning), novel paradigm...

10.48550/arxiv.2109.11797 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Maize (Zea mays) husk referring to the leafy outer enclosing ear, plays an important role in grain production by directly contributing photosynthate and protecting ear from pathogen infection. Although physiological functions related have been extensively studied, little is known about its morphological variation genetic basis natural population. Here we utilized a maize association panel including 508 inbred lines with tropical, subtropical temperate backgrounds decipher architecture...

10.1186/s12864-016-3229-6 article EN cc-by BMC Genomics 2016-11-21

Recent works have shown promising results of prompt tuning in stimulating pre-trained language models (PLMs) for natural processing (NLP) tasks. However, to the best our knowledge, existing focus on prompt-tuning generative PLMs that are generate target tokens, such as BERT. It is still unknown whether and how discriminative PLMs, e.g., ELECTRA, can be effectively prompt-tuned. In this work, we present DPT, first framework which reformulates NLP tasks into a modeling problem. Comprehensive...

10.18653/v1/2022.findings-acl.273 article EN cc-by Findings of the Association for Computational Linguistics: ACL 2022 2022-01-01

Fusarium ear rot (FER) is a destructive maize fungal disease worldwide. In this study, three tropical populations consisting of 874 inbred lines were used to perform genome-wide association study (GWAS) and genomic prediction (GP) analyses FER resistance. Broad phenotypic variation high heritability for observed, although it was highly influenced by large genotype-by-environment interactions. the lines, GWAS with general linear model (GLM) identified 3034 single-nucleotide polymorphisms...

10.1016/j.cj.2020.08.008 article EN cc-by-nc-nd The Crop Journal 2020-10-14

Enriching of kernel zinc (Zn) concentration in maize is one the most effective ways to solve problem Zn deficiency low and middle income countries where major staple food, 17% global population affected with deficiency. Genomic selection (GS) has shown be an approach accelerate genetic gains plant breeding. In present study, association-mapping panel two double-haploid (DH) populations, both genotyped genotyping-by-sequencing (GBS) repeat amplification sequencing (rAmpSeq) markers, were used...

10.3389/fpls.2020.00534 article EN cc-by Frontiers in Plant Science 2020-05-08

The sugar will eventually be exported transporters (SWEET) family is an important group of transport carriers for carbon partitioning in plants and has functions growth, development, abiotic stress tolerance. Although the SWEET transporter, little known maize (Zea mays), especially response to stresses. To further explore pattern stress, a bioinformatics-based approach was used predict identify gene (ZmSWEET) family. Twenty-four ZmSWEET genes were identified using MaizeGDB database....

10.3390/genes13101682 article EN Genes 2022-09-20

<title>Abstract</title> The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally reshaped the landscape AI research and industry, shedding light on a promising path toward next milestone. However, significant challenges remain preventing MLLMs from being practical in real-world applications. most notable challenge comes huge cost running an MLLM with massive number parameters extensive computation. As result, need to be deployed high-performing cloud servers, which...

10.21203/rs.3.rs-5830327/v1 preprint EN cc-by Research Square (Research Square) 2025-01-17

Mimicking metabolic pathways on electrodes enables in vivo metabolite monitoring for decoding metabolism. Conventional sensors cannot accommodate underlying complex reactions involving multiple enzymes and cofactors, addressing only a fraction of enzymatic few metabolites. We devised single-wall-carbon-nanotube-electrode architecture supporting tandem pathway–like linkable to oxidoreductase-based electrochemical analysis, making vast majority metabolites detectable vivo. This robustly...

10.1073/pnas.2425526122 article EN cc-by Proceedings of the National Academy of Sciences 2025-02-27

Genomic selection with a multiple-year training population dataset could accelerate early-stage testcross testing by skipping the first-stage yield testing, which significantly saves time and cost of testing. With development doubled haploid (DH) technology, main task for maize breeder is to estimate breeding values thousands DH lines annually. In genomic (GS) offers opportunity replacing expensive multiple-environment phenotyping phenotypic lower-cost genotyping estimated value (GEBV)-based...

10.1007/s00122-020-03638-5 article EN cc-by Theoretical and Applied Genetics 2020-06-30

Common rust is one of the major foliar diseases in maize, leading to significant grain yield losses and poor quality. To dissect genetic architecture common resistance, a genome-wide association study (GWAS) panel bi-parental doubled haploid (DH) population, DH1, were used perform GWAS linkage mapping analyses. The results revealed six single-nucleotide polymorphisms (SNPs) significantly associated with quantitative resistance at very stringent threshold P- value 3.70 × 10 –6 bins 1.05,...

10.3389/fpls.2021.692205 article EN cc-by Frontiers in Plant Science 2021-07-02

Sweet corn and waxy has a better taste higher accumulated nutritional value than regular maize, is widely planted popularly consumed throughout the world. Plant height (PH), ear (EH), tassel branch number (TBN) are key plant architecture traits, which play an important role in improving grain yield maize. In this study, genome-wide association study (GWAS) genomic prediction analysis were conducted on traits of PH, EH, TBN fresh edible maize population consisting 190 sweet inbred lines 287...

10.3390/plants12020303 article EN cc-by Plants 2023-01-09

The effects of dual-frequency (40 + 20 kHz) and multi-angle ultrasound (0°, 30°, 45°) on the coagulation state, network structure, flavor protein conformation tofu gel were studied. results showed that 40 kHz 0° group was best fluorescence intensity low. in 30° better than without ultrasound, hydrophobic interaction disulfide bond content largest. Meanwhile, degree cross-link increased. 45° had tightly high thermal stability, but poor flavor. Combined with Order Preference by Similarity to...

10.1016/j.ultsonch.2022.106196 article EN cc-by-nc-nd Ultrasonics Sonochemistry 2022-10-10

The CCT gene family plays important roles in diurnal rhythm and abiotic stress response, affecting crop growth development, thus yield. However, little information is available on the foxtail millet (Setaria italica). In present study, we identified 37 putative SiCCT genes from genome. A phylogenetic tree was constructed predicted full-length amino acid sequences, together with proteins rice Arabidopsis as representatives of monocotyledonous dicotyledonous plants, respectively. Based...

10.3390/genes13101829 article EN Genes 2022-10-10

The integration of big data analytics with effective supply chain practices based on dynamic capability theory is an emerging topic, and the relationship that exists between capabilities practices, their impact performance, requires further research. This article examines three performance. information provided by managers 415 companies in China was used as a sample collected empirically tested using partial least squares structural equation modelling. findings show different have positive...

10.4018/joeuc.325214 article EN Journal of Organizational and End User Computing 2023-06-27

Abstract Husk has multiple functions such as protecting ears from diseases, infection, and dehydration during development. Additionally, husks comprised of fewer, shorter, thinner, narrower layers allow faster moisture evaporation kernels prior to harvest. Intensive studies have been conducted identify appropriate husk architecture by understanding the genetic basis related traits, including length, layer number, thickness, width. However, marker-assisted selection is inefficient because...

10.1534/g3.120.401600 article EN cc-by G3 Genes Genomes Genetics 2020-08-15
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