{"id":"https://openalex.org/W7129038554","doi":"https://doi.org/10.3389/fpls.2026.1740337","title":"Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches","display_name":"Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129038554","doi":"https://doi.org/10.3389/fpls.2026.1740337","pmid":"https://pubmed.ncbi.nlm.nih.gov/41777396","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12950687"},"language":"en","primary_location":{"id":"doi:10.3389/fpls.2026.1740337","doi":"https://doi.org/10.3389/fpls.2026.1740337","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fpls.2026.1740337","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2026.1740337/pdf","source":{"id":"https://openalex.org/S2493613807","display_name":"Frontiers in Plant Science","issn_l":"1664-462X","issn":["1664-462X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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 Plant Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2026.1740337/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074887001","display_name":"Sudip Kunwar","orcid":"https://orcid.org/0009-0009-9360-8894","observed_orcids":["https://orcid.org/0009-0009-9360-8894"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudip Kunwar","raw_affiliation_strings":["Plant Breeding Graduate Program, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Plant Breeding Graduate Program, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023483160","display_name":"Md Ali Babar","orcid":"https://orcid.org/0000-0001-9951-6856","observed_orcids":["https://orcid.org/0000-0001-9951-6856"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Ali Babar","raw_affiliation_strings":["Department of Agronomy, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agronomy, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078861728","display_name":"Diego Jarqu\u00edn","orcid":"https://orcid.org/0000-0002-5098-2060","observed_orcids":["https://orcid.org/0000-0002-5098-2060"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diego Jarquin","raw_affiliation_strings":["Department of Agronomy, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agronomy, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087678582","display_name":"Yiannis G. Ampatzidis","orcid":"https://orcid.org/0000-0002-3660-3298","observed_orcids":["https://orcid.org/0000-0002-3660-3298"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]},{"id":"https://openalex.org/I4210126525","display_name":"Southwest Florida Research","ror":"https://ror.org/02ykxyy09","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210126525"]},{"id":"https://openalex.org/I4405265380","display_name":"Institute of Food and Agricultural Sciences","ror":"https://ror.org/04mm87038","country_code":"US","type":"facility","lineage":["https://openalex.org/I33213144","https://openalex.org/I4405265380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiannis Ampatzidis","raw_affiliation_strings":["Agricultural and Biological Engineering Department, Southwest Florida Research and Education Center, University of Florida, Institute of Food and Agricultural Sciences (IFAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agricultural and Biological Engineering Department, Southwest Florida Research and Education Center, University of Florida, Institute of Food and Agricultural Sciences (IFAS)","institution_ids":["https://openalex.org/I33213144","https://openalex.org/I4210126525","https://openalex.org/I4405265380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135346449","display_name":"Naeem Khan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naeem Khan","raw_affiliation_strings":["Department of Agronomy, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agronomy, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040325593","display_name":"Janam P. Acharya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janam Prabhat Acharya","raw_affiliation_strings":["Department of Agronomy, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agronomy, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009921918","display_name":"Jordan C. McBreen","orcid":"https://orcid.org/0000-0001-8867-6483","observed_orcids":["https://orcid.org/0000-0001-8867-6483"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan McBreen","raw_affiliation_strings":["Department of Agronomy, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agronomy, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115806419","display_name":"Samuel A. Adewale","orcid":"https://orcid.org/0000-0002-0331-7201","observed_orcids":["https://orcid.org/0000-0002-0331-7201"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Adewale","raw_affiliation_strings":["Plant Breeding Graduate Program, University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Plant Breeding Graduate Program, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080692788","display_name":"Gina Brown\u2010Guedira","orcid":"https://orcid.org/0000-0002-1958-2827","observed_orcids":["https://orcid.org/0000-0002-1958-2827"]},"institutions":[{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I4210122704","display_name":"Agricultural Research Service - Southeast Area","ror":"https://ror.org/02pfwxe49","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210122704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gina Brown-Guedira","raw_affiliation_strings":["Plant Science Research, United States Department of Agriculture- Agricultural Research Service Southeast Area (USDA-ARS SEA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Plant Science Research, United States Department of Agriculture- Agricultural Research Service Southeast Area (USDA-ARS SEA)","institution_ids":["https://openalex.org/I1336096307","https://openalex.org/I4210122704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023483160"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":{"value":3150,"currency":"CHF","value_usd":3801},"apc_paid":{"value":3150,"currency":"CHF","value_usd":3801},"fwci":7.5537,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95888755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"17","issue":null,"first_page":"1740337","last_page":"1740337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.5756999850273132,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.5756999850273132,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.13349999487400055,"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/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.08969999849796295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wheat","display_name":"wheat","score":0.953000009059906},{"id":"https://openalex.org/keywords/biomass-allocation","display_name":"biomass allocation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/uav-hyperspectral-imagery","display_name":"UAV hyperspectral imagery","score":0.7360000014305115},{"id":"https://openalex.org/keywords/genomic-prediction","display_name":"genomic prediction","score":0.996999979019165},{"id":"https://openalex.org/keywords/harvest-index","display_name":"harvest index","score":0.9940000176429749},{"id":"https://openalex.org/keywords/fruiting-efficiency","display_name":"fruiting efficiency","score":0.9950000047683716},{"id":"https://openalex.org/keywords/grain-yield","display_name":"grain yield","score":0.7289999723434448},{"id":"https://openalex.org/keywords/yield-components","display_name":"yield components","score":0.7059999704360962},{"id":"https://openalex.org/keywords/multi-omics-integration","display_name":"multi-omics integration","score":0.8519999980926514},{"id":"https://openalex.org/keywords/random-forest-regression","display_name":"random forest regression","score":0.6420000195503235},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"partial least squares regression","score":0.9779999852180481},{"id":"https://openalex.org/keywords/best-linear-unbiased-prediction","display_name":"BLUP","score":0.8180000185966492},{"id":"https://openalex.org/keywords/wheat-breeding","display_name":"wheat breeding","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8618999719619751},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.6039999723434448},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.43950000405311584},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43070000410079956},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4171999990940094},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C42060753","wikidata":"https://www.wikidata.org/wiki/Q16842156","display_name":"Biomass partitioning","level":3,"score":0.36579999327659607},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3337000012397766},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3255000114440918},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3034000098705292},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29280000925064087},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C155015343","wikidata":"https://www.wikidata.org/wiki/Q788558","display_name":"Plant breeding","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fpls.2026.1740337","doi":"https://doi.org/10.3389/fpls.2026.1740337","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fpls.2026.1740337","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2026.1740337/pdf","source":{"id":"https://openalex.org/S2493613807","display_name":"Frontiers in Plant Science","issn_l":"1664-462X","issn":["1664-462X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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 Plant Science","raw_type":"journal-article"},{"id":"pmid:41777396","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41777396","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,"listed_in":[],"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 plant science","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12950687","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12950687/","pdf_url":null,"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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Front Plant Sci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a9c4755ad64643378bcb077c50532c6f","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a9c4755ad64643378bcb077c50532c6f","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,"listed_in":[],"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 Plant Science, Vol 17 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fpls.2026.1740337","doi":"https://doi.org/10.3389/fpls.2026.1740337","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fpls.2026.1740337","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2026.1740337/pdf","source":{"id":"https://openalex.org/S2493613807","display_name":"Frontiers in Plant Science","issn_l":"1664-462X","issn":["1664-462X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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 Plant Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310013","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7129038554.pdf","grobid_xml":"https://content.openalex.org/works/W7129038554.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1493624446","https://openalex.org/W1951724000","https://openalex.org/W1970149620","https://openalex.org/W1972216668","https://openalex.org/W1975117056","https://openalex.org/W1977601452","https://openalex.org/W1987097445","https://openalex.org/W2011010318","https://openalex.org/W2030126026","https://openalex.org/W2036003376","https://openalex.org/W2063623478","https://openalex.org/W2091798987","https://openalex.org/W2094445009","https://openalex.org/W2112484080","https://openalex.org/W2168952261","https://openalex.org/W2230276206","https://openalex.org/W2495369798","https://openalex.org/W2501348247","https://openalex.org/W2562063914","https://openalex.org/W2785291720","https://openalex.org/W2790099498","https://openalex.org/W2804616917","https://openalex.org/W2811120218","https://openalex.org/W2898312686","https://openalex.org/W2911964244","https://openalex.org/W2946584473","https://openalex.org/W2947836010","https://openalex.org/W2951831261","https://openalex.org/W2952277607","https://openalex.org/W2952348048","https://openalex.org/W2972535523","https://openalex.org/W2998224912","https://openalex.org/W3018211067","https://openalex.org/W3042780372","https://openalex.org/W3043249140","https://openalex.org/W3095453294","https://openalex.org/W3134704014","https://openalex.org/W3193827159","https://openalex.org/W3198507020","https://openalex.org/W3209974803","https://openalex.org/W3212230980","https://openalex.org/W4223434549","https://openalex.org/W4293907433","https://openalex.org/W4296110427","https://openalex.org/W4384923099","https://openalex.org/W4391650028","https://openalex.org/W4391888767","https://openalex.org/W4399869435","https://openalex.org/W4400300685","https://openalex.org/W4400913088","https://openalex.org/W4403370929","https://openalex.org/W4406163114","https://openalex.org/W4406810967","https://openalex.org/W4407959656","https://openalex.org/W4410827842","https://openalex.org/W4411004391","https://openalex.org/W4412378753"],"related_works":["https://openalex.org/W4411004391","https://openalex.org/W7143753595","https://openalex.org/W4400430444","https://openalex.org/W7162050227","https://openalex.org/W7211888155","https://openalex.org/W4387308022","https://openalex.org/W4412083148","https://openalex.org/W4403370929","https://openalex.org/W4399157623","https://openalex.org/W3201460303"],"abstract_inverted_index":{"Optimizing":[0],"biomass":[1,77,212,231],"partitioning":[2,21,78,232],"is":[3],"essential":[4],"for":[5,161,164,167,173,195,220,237],"achieving":[6,156],"sustainable":[7],"yield":[8,82,175,239],"improvement":[9],"in":[10,59,84,233],"wheat,":[11],"particularly":[12],"under":[13],"increasing":[14],"environmental":[15,121],"stress.":[16],"Traits":[17],"such":[18],"as":[19],"spike":[20],"index":[22,25],"(SPI),":[23],"harvest":[24],"(HI),":[26],"and":[27,41,48,80,94,113,120,130,136,171,185,217,241],"fruiting":[28],"efficiency":[29],"(FE)":[30],"are":[31,37],"central":[32],"to":[33,75,105,143,159,193,229],"understanding":[34],"how":[35],"assimilates":[36],"allocated":[38],"between":[39],"vegetative":[40],"reproductive":[42],"organs.":[43],"However,":[44],"their":[45,56],"complex":[46],"physiology":[47],"the":[49,65],"difficulty":[50],"of":[51,67,88,99],"manual":[52],"phenotyping":[53,203],"have":[54],"limited":[55],"routine":[57],"use":[58],"breeding":[60,101,227],"programs.":[61],"This":[62,223],"study":[63],"assessed":[64],"potential":[66],"unmanned":[68],"aerial":[69],"vehicle":[70],"(UAV)-based":[71],"hyperspectral":[72,202],"reflectance":[73],"data":[74,178],"predict":[76],"traits":[79],"related":[81],"components":[83],"wheat.":[85],"Three":[86],"trials":[87],"facultative":[89],"soft":[90],"wheat":[91,226,235],"lines":[92,102],"(2022\u20132024)":[93],"an":[95],"independent":[96],"validation":[97],"set":[98],"advanced":[100],"were":[103,141],"used":[104],"develop":[106],"genomic":[107],"prediction":[108,111,128,190],"(GP),":[109],"phenomic":[110],"(PP),":[112],"integrated":[114],"multi-omic":[115,186],"models":[116,149],"combining":[117],"genomic,":[118],"phenomic,":[119],"covariates":[122],"(ECs).":[123],"Kernel-based":[124],"best":[125],"linear":[126],"unbiased":[127],"(BLUP),":[129],"machine-learning":[131],"based,":[132],"random":[133],"forest":[134],"regression":[135,140],"partial":[137],"least":[138],"squares":[139],"implemented":[142],"estimate":[144],"predictive":[145],"ability":[146],"(PA).":[147],"Phenomics-driven":[148],"markedly":[150],"outperformed":[151],"GP":[152],"across":[153],"most":[154],"traits,":[155],"PA":[157],"up":[158,192],"0.61":[160],"SPI,":[162],"0.56":[163],"FE,":[165],"0.71":[166],"grains/m":[168],"2":[169],"(GN),":[170],"0.66":[172],"grain":[174],"(GY).":[176],"Hyperspectral":[177],"provided":[179],"higher":[180],"accuracy":[181],"than":[182],"vegetation":[183],"indices,":[184],"integration":[187],"slightly":[188],"improved":[189],"(PA":[191],"0.73":[194],"GN).":[196],"These":[197],"results":[198],"demonstrate":[199],"that":[200],"UAV-based":[201],"can":[204,224],"effectively":[205],"capture":[206],"canopy-level":[207],"physiological":[208],"signals":[209],"associated":[210],"with":[211],"partitioning,":[213],"offering":[214],"a":[215],"scalable":[216],"data-driven":[218],"approach":[219],"in-season":[221],"selections.":[222],"help":[225],"programs":[228],"optimize":[230],"modern":[234],"cultivars":[236],"long-term":[238],"resilience":[240],"genetic":[242],"gain.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-17T00:00:00"}
