人工智能技术在水稻育种中的应用与发展

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中图分类号：S-1 文献标志码：A 文章编号：2096-9902（2025）22-0025-0（

Abstract：Foodsecurityisthecoreofthenationalstrategy.Riceisthestaplefoodof morethanhalfoftheworld's populatio，andinnovationinitsbredingtechnolgyisofgreatsignificance.Traditionalricebreedinghasalongcycle，low eficiency，andighlyreliesonbreedersexperience.Inrecentyearsartificialinteligence（A）echnologymainlyachine learninganddeeplearning，isdeeplypenetratingintoallaspectsofricebreeding，givingbirthtoanewmodelof"intelligent breeding".ThispaperreviewsthelatestresearchprogressofAItechnologyinricegenomicsandgeneticimprovement，highthroughputphenotyping，breeding decision-makinganddesignfrom2023to2025，andprovidesanin-depthanalysisofthe performanceindicatorsofkeyAItechnologiessuchasconvolutionalneuralnetworks（CNN）andgenomeselection（GS）inrice varietyidentifcationtraitpredictionresistancesreeningndotheraplications，andconstructsanA-drivenbreedingdataflow conceptualmodelfromgenotypingtofieldverfication.Atthesametimeitanalyzdthebotlenecksofthecurentlargescale applicationofAItechnologyinricebreeding，suchashighinitialcosts，lackofinterdisciplinarytalents，datastandardizationd sharingproblems，etc.，andputforwardcorespondingcountemeasuresandsuggestions.Finally，thefuturedevelopmenttrends suchasthedepintegrationofAIandgeneediting technologytheaplicationofexplicableAI（XAI），andtheconstructionofa fullyautomatedinteligentbreedingplatformareprospected，inordertoprovidescientificreferencefortheinteligent transformation of rice breeding in China.

Keywords：artiialintellgence（AI）;ricebreeding;genomeselection;highthroughputphenotyping;delearing;intelient breeding

水稻（OryzasatiuaL.）是保障世界粮食安全的关键作物。（剩余10458字）