{"id":"https://openalex.org/W7204028140","doi":"https://doi.org/10.1007/s13253-026-00749-2","title":"Gaussian Process Modeling with Genotype $$\\times $$ Environment Kernels for Wheat Performance Prediction","display_name":"Gaussian Process Modeling with Genotype $$\\times $$ Environment Kernels for Wheat Performance Prediction","publication_year":2026,"publication_date":"2026-08-23","ids":{"openalex":"https://openalex.org/W7204028140","doi":"https://doi.org/10.1007/s13253-026-00749-2"},"language":"en","primary_location":{"id":"doi:10.1007/s13253-026-00749-2","doi":"https://doi.org/10.1007/s13253-026-00749-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13253-026-00749-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13253-026-00749-2.pdf","source":{"id":"https://openalex.org/S185969502","display_name":"Journal of Agricultural Biological and Environmental Statistics","issn_l":"1085-7117","issn":["1085-7117","1537-2693"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Agricultural, Biological and Environmental Statistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13253-026-00749-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010006925","display_name":"Lea Friedli","orcid":"https://orcid.org/0000-0002-7639-8196","observed_orcids":["https://orcid.org/0000-0002-7639-8196"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lea Friedli","raw_affiliation_strings":["Engineering Risk Analysis Group, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7639-8196","affiliations":[{"raw_affiliation_string":"Engineering Risk Analysis Group, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004936029","display_name":"Tim Steinert","orcid":"https://orcid.org/0000-0003-1697-3475","observed_orcids":["https://orcid.org/0000-0003-1697-3475","https://orcid.org/0000-0003-3447-9374"]},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tim Steinert","raw_affiliation_strings":["Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114375908","display_name":"Nathalie Wuyts","orcid":"https://orcid.org/0000-0002-4445-507X","observed_orcids":["https://orcid.org/0000-0002-4445-507X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nathalie Wuyts","raw_affiliation_strings":["D. Pellet Agroscope, Plant Production Systems, Nyon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D. Pellet Agroscope, Plant Production Systems, Nyon, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063482304","display_name":"Fabian Guignard","orcid":"https://orcid.org/0000-0002-9674-3487","observed_orcids":["https://orcid.org/0000-0002-9674-3487"]},"institutions":[{"id":"https://openalex.org/I4210103407","display_name":"Swiss Federal Institute of Metrology","ror":"https://ror.org/0115xv923","country_code":"CH","type":"government","lineage":["https://openalex.org/I4210103407"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fabian Guignard","raw_affiliation_strings":["Federal Institute of Metrology METAS, Wabern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Institute of Metrology METAS, Wabern, Switzerland","institution_ids":["https://openalex.org/I4210103407"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039745418","display_name":"Lilia Levy H\u00e4ner","orcid":"https://orcid.org/0009-0009-2019-9241","observed_orcids":["https://orcid.org/0009-0009-2019-9241"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lilia Levy H\u00e4ner","raw_affiliation_strings":["D. Pellet Agroscope, Plant Production Systems, Nyon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D. Pellet Agroscope, Plant Production Systems, Nyon, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102935305","display_name":"Juan Manuel Herrera","orcid":"https://orcid.org/0000-0002-9398-7224","observed_orcids":["https://orcid.org/0000-0002-9398-7224"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Didier Pellet, Juan Manuel Herrera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049418200","display_name":"David Ginsbourger","orcid":"https://orcid.org/0000-0003-2724-2678","observed_orcids":["https://orcid.org/0000-0003-2724-2678"]},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"David Ginsbourger","raw_affiliation_strings":["Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010006925"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5350369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11229","display_name":"Genetics and Plant Breeding","score":0.9146000146865845,"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":0.9146000146865845,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.029200000688433647,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14137","display_name":"Agriculture, Soil, Plant Science","score":0.011800000444054604,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop 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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian-processes","display_name":"Gaussian processes","score":0.7549999952316284},{"id":"https://openalex.org/keywords/gene-environment-interaction","display_name":"gene-environment interaction","score":0.8619999885559082},{"id":"https://openalex.org/keywords/wheat-yield-prediction","display_name":"wheat yield prediction","score":0.8050000071525574},{"id":"https://openalex.org/keywords/wheat-protein-content","display_name":"wheat protein content","score":0.9559999704360962},{"id":"https://openalex.org/keywords/cultivar-selection","display_name":"cultivar selection","score":0.6579999923706055},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.8059999942779541},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"kernel regression","score":0.8429999947547913},{"id":"https://openalex.org/keywords/experimental-design","display_name":"experimental design","score":0.6190000176429749},{"id":"https://openalex.org/keywords/variety-recommendation","display_name":"cultivar recommendation","score":0.7319999933242798}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6517000198364258},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5845000147819519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582000017166138},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5256999731063843},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3903999924659729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3723999857902527},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3334999978542328},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2953000068664551},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2992211155","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Grain yield","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s13253-026-00749-2","doi":"https://doi.org/10.1007/s13253-026-00749-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13253-026-00749-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13253-026-00749-2.pdf","source":{"id":"https://openalex.org/S185969502","display_name":"Journal of Agricultural Biological and Environmental Statistics","issn_l":"1085-7117","issn":["1085-7117","1537-2693"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Agricultural, Biological and Environmental Statistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2508.17730","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.17730","pdf_url":"https://arxiv.org/pdf/2508.17730","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.17730","doi":"https://doi.org/10.48550/arxiv.2508.17730","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.17730","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1007/s13253-026-00749-2","doi":"https://doi.org/10.1007/s13253-026-00749-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13253-026-00749-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13253-026-00749-2.pdf","source":{"id":"https://openalex.org/S185969502","display_name":"Journal of Agricultural Biological and Environmental Statistics","issn_l":"1085-7117","issn":["1085-7117","1537-2693"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Agricultural, Biological and Environmental Statistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.9208999872207642}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1210808807","display_name":"Isaac Newton Institute for Mathematical Sciences (INI)","funder_award_id":"EP/Z000580/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2259086438","display_name":null,"funder_award_id":"EP/Z000580/1","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3026456192","display_name":"Institute for Mathematical and Statistical Innovation","funder_award_id":"1929348","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4999001610","display_name":null,"funder_award_id":"Wheat advisor 19.03","funder_id":"https://openalex.org/F4320326464","funder_display_name":"Bundesamt f\u00fcr Landwirtschaft"},{"id":"https://openalex.org/G6727999324","display_name":null,"funder_award_id":"DMS-1929348","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"},{"id":"https://openalex.org/G7945605284","display_name":null,"funder_award_id":"19.03","funder_id":"https://openalex.org/F4320326464","funder_display_name":"Bundesamt f\u00fcr Landwirtschaft"},{"id":"https://openalex.org/G8113851294","display_name":"Navigating Risk: Optimal Data Acquisition through Value of Information Analysis","funder_award_id":"225353","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G9001018466","display_name":null,"funder_award_id":"1929348","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310992","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05"},{"id":"https://openalex.org/F4320313284","display_name":"Isaac Newton Institute for Mathematical Sciences","ror":null},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320326464","display_name":"Bundesamt f\u00fcr Landwirtschaft","ror":"https://ror.org/04mk29570"},{"id":"https://openalex.org/F4320331726","display_name":"Agroscope","ror":"https://ror.org/04d8ztx87"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204028140.pdf","grobid_xml":"https://content.openalex.org/works/W7204028140.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W128740895","https://openalex.org/W174969146","https://openalex.org/W179694669","https://openalex.org/W1510052597","https://openalex.org/W1510073064","https://openalex.org/W1529817821","https://openalex.org/W1840389249","https://openalex.org/W1928998639","https://openalex.org/W1970149620","https://openalex.org/W1978173716","https://openalex.org/W1986454681","https://openalex.org/W1988903094","https://openalex.org/W1990570841","https://openalex.org/W2002355073","https://openalex.org/W2022860576","https://openalex.org/W2025720061","https://openalex.org/W2030006024","https://openalex.org/W2030126026","https://openalex.org/W2030218736","https://openalex.org/W2037568500","https://openalex.org/W2039559473","https://openalex.org/W2045443744","https://openalex.org/W2047634553","https://openalex.org/W2047769598","https://openalex.org/W2059795119","https://openalex.org/W2061144551","https://openalex.org/W2063905531","https://openalex.org/W2064013109","https://openalex.org/W2064953066","https://openalex.org/W2069626069","https://openalex.org/W2076320377","https://openalex.org/W2077959734","https://openalex.org/W2090344978","https://openalex.org/W2091259694","https://openalex.org/W2108048419","https://openalex.org/W2109349581","https://openalex.org/W2127843966","https://openalex.org/W2135046866","https://openalex.org/W2151391832","https://openalex.org/W2154978106","https://openalex.org/W2164425723","https://openalex.org/W2271902495","https://openalex.org/W2274610644","https://openalex.org/W2284086940","https://openalex.org/W2502051256","https://openalex.org/W2523473862","https://openalex.org/W2540923435","https://openalex.org/W2608691562","https://openalex.org/W2732319205","https://openalex.org/W2760544538","https://openalex.org/W2787894218","https://openalex.org/W2940511043","https://openalex.org/W2951529407","https://openalex.org/W2964281761","https://openalex.org/W2975635479","https://openalex.org/W3080096554","https://openalex.org/W3111732785","https://openalex.org/W3146746977","https://openalex.org/W3151418691","https://openalex.org/W3165552941","https://openalex.org/W4205230724","https://openalex.org/W4211049957","https://openalex.org/W4234698323","https://openalex.org/W4239966440","https://openalex.org/W4284974258","https://openalex.org/W4294243098","https://openalex.org/W4296110427","https://openalex.org/W4317889697","https://openalex.org/W4394715067","https://openalex.org/W4400511831","https://openalex.org/W4403797715","https://openalex.org/W4404638828","https://openalex.org/W4410121241","https://openalex.org/W4417284081","https://openalex.org/W6968353660","https://openalex.org/W7130728192","https://openalex.org/W7133221629"],"related_works":["https://openalex.org/W7077866438","https://openalex.org/W4211266163","https://openalex.org/W3206704172","https://openalex.org/W2339629119","https://openalex.org/W2623985197","https://openalex.org/W7163573980","https://openalex.org/W4295062637","https://openalex.org/W2047769598","https://openalex.org/W4311679150","https://openalex.org/W4310497343"],"abstract_inverted_index":{"Abstract":[0],"Optimizing":[1],"wheat":[2,45,119],"variety":[3,109],"selection":[4],"for":[5,14,21,68,98],"high":[6],"performance":[7],"in":[8,88,128,142],"different":[9],"environmental":[10,42],"conditions":[11],"is":[12,53,82,95],"critical":[13],"reliable":[15],"food":[16],"production":[17],"and":[18,41,47,60,101,111,122,152],"stable":[19],"incomes":[20],"growers.":[22],"We":[23],"employ":[24],"a":[25,118,124],"statistical":[26],"machine":[27],"learning":[28],"framework":[29],"utilizing":[30],"Gaussian":[31],"process":[32],"(GP)":[33],"models":[34],"to":[35,56,108],"capture":[36],"the":[37,79,106,133],"effects":[38],"of":[39,78,117],"genetic":[40],"factors":[43],"on":[44,92],"yield":[46],"protein":[48],"content.":[49],"The":[50],"GP":[51,80,134],"approach":[52,135],"closely":[54],"related":[55],"kernel":[57,61],"linear":[58],"mixed-effect":[59],"regression":[62],"models,":[63],"which":[64],"are":[65],"commonly":[66],"used":[67],"genotype":[69],"$$\\times":[70],"$$":[71],"\u00d7":[72],"environment":[73],"predictions.":[74],"A":[75],"notable":[76],"advantage":[77],"formulation":[81],"that":[83,132],"it":[84],"provides":[85],"probabilistic":[86],"predictions":[87],"closed":[89],"form.":[90],"Building":[91],"this,":[93],"there":[94],"extensive":[96],"literature":[97],"optimal":[99],"decision-making":[100],"data":[102],"acquisition":[103],"strategies,":[104],"opening":[105],"door":[107],"recommendation":[110],"experimental":[112],"design":[113],"strategies.":[114],"By":[115],"means":[116],"test":[120],"case":[121],"using":[123],"novel":[125],"dataset":[126],"collected":[127],"Switzerland,":[129],"we":[130],"demonstrate":[131],"delivers":[136],"comparable":[137],"or":[138],"superior":[139],"prediction":[140],"results":[141],"comparison":[143],"with":[144],"state-of-the-art":[145],"methods,":[146],"while":[147],"providing":[148],"improved":[149],"uncertainty":[150],"quantification":[151],"supporting":[153],"better":[154],"informed":[155],"decision-making.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2026-08-24T00:00:00"}
