Search Results - "Wang, Hanyao"
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A de novo evolved gene contributes to rice grain shape difference between indica and japonica
Published in Nature communications (22-09-2023)“…The role of de novo evolved genes from non-coding sequences in regulating morphological differentiation between species/subspecies remains largely unknown…”
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Genetic and molecular factors in determining grain number per panicle of rice
Published in Frontiers in plant science (04-08-2022)“…It was suggested that the most effective way to improve rice grain yield is to increase the grain number per panicle (GN) through the breeding practice in…”
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Nucleotide Diversity of the Maize ZmCNR13 Gene and Association With Ear Traits
Published in Frontiers in genetics (26-10-2021)“…The maize ( Zea mays L . ) ZmCNR13 gene, encoding a protein of fw2.2-like ( FWL ) family, has been demonstrated to be involved in cell division, expansion, and…”
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4
Rice melatonin deficiency causes premature leaf senescence via DNA methylation regulation
Published in The Crop journal (01-06-2024)“…In a study of DNA methylation changes in melatonin-deficient rice mutants, mutant plants showed premature leaf senescence during grain-filling and reduced…”
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The plant streptolysin S (SLS)-associated gene B confers nitroaromatic tolerance and detoxification
Published in Journal of hazardous materials (05-07-2022)“…Nitroaromatic compounds, as the important chemical feedstock, have caused widespread environmental contaminations, and exhibited high toxicity and mutagenic…”
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Integrative analyses of transcriptome, microRNA-seq and metabolome reveal insights into exogenous melatonin-mediated salt tolerance during seed germination of maize
Published in Plant growth regulation (01-07-2024)“…Melatonin is an important phytohormone influencing plant growth and defense responses. However, the mechanism mediating the regulatory effects of melatonin on…”
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Towards Alleviating Text-to-Image Retrieval Hallucination for CLIP in Zero-shot Learning
Published 28-02-2024“…Pretrained cross-modal models, for instance, the most representative CLIP, have recently led to a boom in using pre-trained models for cross-modal zero-shot…”
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