{"id":"https://openalex.org/W4405261346","doi":"https://doi.org/10.3389/frai.2024.1312115","title":"A hybrid deep learning-based approach for optimal genotype by environment selection","display_name":"A hybrid deep learning-based approach for optimal genotype by environment selection","publication_year":2024,"publication_date":"2024-12-11","ids":{"openalex":"https://openalex.org/W4405261346","doi":"https://doi.org/10.3389/frai.2024.1312115","pmid":"https://pubmed.ncbi.nlm.nih.gov/39726891"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2024.1312115","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1312115","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1312115/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1312115/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083999990","display_name":"Zahra Khalilzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zahra Khalilzadeh","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042667563","display_name":"Motahareh Kashanian","orcid":"https://orcid.org/0009-0000-9318-6382"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Motahareh Kashanian","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040137532","display_name":"Saeed Khaki","orcid":"https://orcid.org/0000-0003-0095-8588"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeed Khaki","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666784","display_name":"Lizhi Wang","orcid":"https://orcid.org/0000-0002-8613-1444"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lizhi Wang","raw_affiliation_strings":["School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, United States","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083999990"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":1.6171,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8667598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"1312115","last_page":"1312115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11229","display_name":"Genetics and Plant Breeding","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11229","display_name":"Genetics and Plant Breeding","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12571","display_name":"Soybean genetics and cultivation","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6569581031799316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842181444168091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5500003695487976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5448640584945679},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5104812383651733},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4814676344394684}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6569581031799316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842181444168091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5500003695487976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5448640584945679},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5104812383651733},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4814676344394684}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2024.1312115","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1312115","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1312115/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:39726891","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39726891","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11670329","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11670329","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11670329/pdf/frai-07-1312115.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Artif Intell","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:21155201ecb44c23bfba1178d9c51386","is_oa":true,"landing_page_url":"https://doaj.org/article/21155201ecb44c23bfba1178d9c51386","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2024.1312115","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1312115","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1312115/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7599999904632568,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2725643832","display_name":null,"funder_award_id":"1830478","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3270933065","display_name":null,"funder_award_id":"2021-67021-35329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3883811762","display_name":null,"funder_award_id":"1830478","funder_id":"https://openalex.org/F4320306114","funder_display_name":"U.S. Department of Agriculture"},{"id":"https://openalex.org/G4125589899","display_name":null,"funder_award_id":"1842097","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8387728390","display_name":null,"funder_award_id":"2021-67021-35329","funder_id":"https://openalex.org/F4320306114","funder_display_name":"U.S. Department of Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405261346.pdf","grobid_xml":"https://content.openalex.org/works/W4405261346.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W986033011","https://openalex.org/W1598796236","https://openalex.org/W1622484071","https://openalex.org/W2047769598","https://openalex.org/W2064675550","https://openalex.org/W2117162642","https://openalex.org/W2129687329","https://openalex.org/W2130942839","https://openalex.org/W2135046866","https://openalex.org/W2136939460","https://openalex.org/W2295598076","https://openalex.org/W2315062961","https://openalex.org/W2468113847","https://openalex.org/W2561704874","https://openalex.org/W2759257303","https://openalex.org/W2788738262","https://openalex.org/W2789876780","https://openalex.org/W2885195348","https://openalex.org/W2891765392","https://openalex.org/W2911964244","https://openalex.org/W2943136828","https://openalex.org/W2949642792","https://openalex.org/W2954933821","https://openalex.org/W2979666105","https://openalex.org/W2991004173","https://openalex.org/W3000947669","https://openalex.org/W3011178959","https://openalex.org/W3037618930","https://openalex.org/W3088933582","https://openalex.org/W3098019734","https://openalex.org/W3103444592","https://openalex.org/W3120697286","https://openalex.org/W3166420679","https://openalex.org/W3176161063","https://openalex.org/W3192482461","https://openalex.org/W3216800082","https://openalex.org/W4207038069","https://openalex.org/W4220677561","https://openalex.org/W4224839097","https://openalex.org/W4225407013","https://openalex.org/W4293577608","https://openalex.org/W4294325784","https://openalex.org/W4294904679","https://openalex.org/W4307029814","https://openalex.org/W4380368961","https://openalex.org/W6680230698","https://openalex.org/W6730346848","https://openalex.org/W6748314208","https://openalex.org/W6804742474","https://openalex.org/W6910681941"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4226493464","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3133861977","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911"],"abstract_inverted_index":{"The":[0,150,265],"ability":[1],"to":[2,13,35,38,145,178,238,301,330,361],"accurately":[3],"predict":[4],"the":[5,124,131,138,162,174,180,202,205,225,228,240,249,260,285,293,305,321,345,349,367],"yields":[6],"of":[7,71,164,204,287,307,348],"different":[8,166],"crop":[9,22],"genotypes":[10,85,167,182,195,220],"in":[11,29,37,56,196,275],"response":[12],"weather":[14,88,170,187,377],"variability":[15],"is":[16],"crucial":[17,363],"for":[18,192,272,317],"developing":[19],"climate":[20],"resilient":[21],"cultivars.":[23],"Genotype-environment":[24],"interactions":[25,58],"introduce":[26],"large":[27],"variations":[28],"crop-climate":[30],"responses,":[31],"and":[32,79,86,107,113,141,186,244,257,262,297,309,374,384],"are":[33,221],"hard":[34],"factor":[36],"breeding":[39,52],"programs.":[40],"Data-driven":[41],"approaches,":[42],"particularly":[43],"those":[44],"based":[45,168],"on":[46,156,169,211,259],"machine":[47],"learning,":[48],"can":[49,269],"help":[50],"guide":[51],"efforts":[53],"by":[54,254,372],"factoring":[55],"genotype-environment":[57],"when":[59],"making":[60,189],"yield":[61,66,190],"predictions.":[62],"Using":[63],"a":[64,91,117,354],"new":[65,219],"dataset":[67,151],"containing":[68],"93,028":[69],"records":[70],"soybean":[72],"hybrids":[73],"across":[74,183],"159":[75],"locations,":[76],"28":[77],"states,":[78],"13":[80],"years,":[81],"with":[82,277],"5,838":[83],"distinct":[84],"daily":[87],"data":[89,291,302],"over":[90],"214-day":[92],"growing":[93],"season,":[94],"we":[95,136,208,283,312],"developed":[96],"two":[97],"convolutional":[98],"neural":[99,109],"network":[100],"(CNN)":[101],"models:":[102],"one":[103],"that":[104,115,336],"integrates":[105],"CNN":[106,125,250],"fully-connected":[108],"networks":[110],"(CNN":[111],"model),":[112],"another":[114],"incorporates":[116],"long":[118],"short-term":[119],"memory":[120],"(LSTM)":[121],"layer":[122],"after":[123],"component":[126],"(CNN-LSTM":[127],"model).":[128],"By":[129,223],"applying":[130],"Generalized":[132],"Ensemble":[133],"Method":[134],"(GEM),":[135],"combined":[137],"CNN-based":[139],"models":[140],"optimized":[142],"their":[143,393],"weights":[144],"improve":[146],"overall":[147],"predictive":[148,346],"performance.":[149],"provided":[152,232],"unique":[153],"genotype":[154,273,296,373],"information":[155,329],"seeds,":[157],"enabling":[158],"an":[159],"investigation":[160],"into":[161],"potential":[163,194],"planting":[165],"variables.":[171,299],"We":[172,351],"employed":[173],"proposed":[175,266],"GEM":[176,206,229],"model":[177,242],"identify":[179,362],"best-performing":[181],"various":[184],"locations":[185,319],"conditions,":[188],"predictions":[191],"all":[193,318],"each":[197],"specific":[198],"setting.":[199],"To":[200],"assess":[201],"performance":[203],"model,":[207,251],"evaluated":[209],"it":[210],"unseen":[212],"genotype-location":[213],"combinations,":[214],"simulating":[215],"real-world":[216],"scenarios":[217,276],"where":[218],"introduced.":[222],"combining":[224],"base":[226],"models,":[227],"ensemble":[230],"approach":[231,268],"much":[233],"better":[234,246],"prediction":[235],"accuracy":[236,247],"compared":[237],"using":[239,358],"CNN-LSTM":[241],"alone":[243],"slightly":[245],"than":[248],"as":[252],"measured":[253],"both":[255],"RMSE":[256,359,369,390],"MAE":[258],"validation":[261],"test":[263],"sets.":[264],"data-driven":[267],"be":[270],"valuable":[271],"selection":[274],"limited":[278],"testing":[279],"years.":[280],"In":[281],"addition,":[282],"explored":[284],"impact":[286],"incorporating":[288],"state-level":[289,331,338],"soil":[290,315,339],"alongside":[292],"weather,":[294],"location,":[295],"year":[298],"Due":[300],"constraints,":[303],"including":[304],"absence":[306],"latitude":[308],"longitude":[310],"details,":[311],"used":[313],"uniform":[314],"variables":[316,340],"within":[320],"same":[322],"state.":[323],"This":[324],"limitation":[325],"restricted":[326],"our":[327],"spatial":[328],"knowledge.":[332],"Our":[333],"findings":[334],"suggested":[335],"integrating":[337],"did":[341],"not":[342],"substantially":[343],"enhance":[344],"capabilities":[347],"models.":[350],"also":[352],"performed":[353],"feature":[355],"importance":[356],"analysis":[357],"change":[360],"predictors.":[364],"Location":[365],"showed":[366],"highest":[368],"change,":[370],"followed":[371],"year.":[375],"Among":[376],"variables,":[378],"maximum":[379],"direct":[380],"normal":[381],"irradiance":[382],"(MDNI)":[383],"average":[385],"precipitation":[386],"(AP)":[387],"displayed":[388],"higher":[389],"changes,":[391],"indicating":[392],"importance.":[394]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
