农科机构知识库联盟

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artificial intelligence; deep learning; large language model; plant disease; phenomics; phenotype(1)
differentially expressed gene; heterosis; maize; planting density; transcriptome; weighted gene co-expression network analysis(1)
grain yield; genome-wide association study; trait-associated markers; prediction accuracy; fixed model(1)
kernel size; kernel development; genome-wide association study; transcriptome; differentially expressed genes(1)
maize stalk rot; scrna-seq; fusarium verticillioides; co-expression module; immune regulatory networks(1)
maize; genotyping by target sequencing; genomic prediction; hybrid prediction; general combining ability(1)
southern corn rust (scr); puccinia polysora; resistant germplasm resources; resistant genes/qtl; prevention and control strategies(1)
zea mays; allele-specific expression; hub gene; seed development; seed size; seed weight; zmarf12(1)

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henan acad agr sci, inst cereal crops, zhengzhou, peoples r china(4)
henan acad agr sci, inst cereal crops, zhengzhou 450002, henan, peoples r china(2)
china agr univ, key lab pest monitoring & green management moa, beijing, peoples r china(1)
china agr univ, state kay lab agrobiotechnol, beijing, peoples r china(1)
chinese acad agr sci, inst crop sci, beijing 100081, peoples r china(1)
chinese acad agr sci, inst crop sci, beijing, peoples r china(1)
chinese acad agr sci, inst crop sci, key lab grain crop genet resources evaluat & utili, beijing 100081, peoples r china(1)
henan acad agr sci, cereal crops res inst, zhengzhou, henan, peoples r china(1)
henan acad agr sci, henan prov key lab maize biol, inst cereal crops, zhengzhou, peoples r china(1)
henan acad agr sci, inst cereal crops, henan key lab maize biol, zhengzhou 450002, henan, peoples r china(1)

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条件:

资源类型: 外文期刊

作者:Ma, Juan(精确检索)

作者:Cao, Yanyong(精确检索)

排序方式：

作者： Ma, Juan; Cheng, Zeqiang; Cao, Yanyong; SCI

机构： Henan Acad Agr Sci, Inst Cereal Crops, Zhengzhou 450002, Peoples R China;

来源：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

关键词： artificial intelligence; deep learning; large language model; plant disease; phenomics; phenotype

年份：2025