{"id":"https://openalex.org/W4387735455","doi":"https://doi.org/10.22541/essoar.169724938.83795692/v2","title":"Exploring Maize Stress Response Phenotypes via High-Throughput Imaging","display_name":"Exploring Maize Stress Response Phenotypes via High-Throughput Imaging","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387735455","doi":"https://doi.org/10.22541/essoar.169724938.83795692/v2"},"language":"en","primary_location":{"id":"doi:10.22541/essoar.169724938.83795692/v2","doi":"https://doi.org/10.22541/essoar.169724938.83795692/v2","is_oa":false,"landing_page_url":"https://doi.org/10.22541/essoar.169724938.83795692/v2","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020041220","display_name":"Leonardo Warzea Lima","orcid":"https://orcid.org/0000-0002-1507-8877","observed_orcids":["https://orcid.org/0000-0002-1507-8877"]},"institutions":[{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leonardo W. Lima","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-1507-8877","affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061225442","display_name":"Katherine M. Murphy","orcid":"https://orcid.org/0000-0002-8891-4274","observed_orcids":["https://orcid.org/0000-0002-8891-4274"]},"institutions":[{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katie Murphy","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-8891-4274","affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092915048","display_name":"Alejandra Qui\u00f1ones","orcid":"https://orcid.org/0000-0002-0603-491X","observed_orcids":["https://orcid.org/0000-0002-0603-491X"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandra Quinones","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA","University of Minnesota, Department of Plant Pathology, St. Paul, MN 55108, USA"],"raw_orcid":"https://orcid.org/0000-0002-0603-491X","affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]},{"raw_affiliation_string":"University of Minnesota, Department of Plant Pathology, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021505215","display_name":"Josh Sumner","orcid":"https://orcid.org/0000-0002-3399-9063","observed_orcids":["https://orcid.org/0000-0002-3399-9063"]},"institutions":[{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh Sumner","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-3399-9063","affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015912463","display_name":"Cory D. Hirsch","orcid":"https://orcid.org/0000-0002-3409-758X","observed_orcids":["https://orcid.org/0000-0002-3409-758X"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cory D. Hirsch","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA","University of Minnesota, Department of Plant Pathology, St. Paul, MN 55108, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]},{"raw_affiliation_string":"University of Minnesota, Department of Plant Pathology, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007761284","display_name":"Malia A. Gehan","orcid":"https://orcid.org/0000-0002-3238-2627","observed_orcids":["https://orcid.org/0000-0002-3238-2627"]},"institutions":[{"id":"https://openalex.org/I2799511691","display_name":"Donald Danforth Plant Science Center","ror":"https://ror.org/000cyem11","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799511691"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Malia Gehan","raw_affiliation_strings":["Donald Danforth Plant Science Center, Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-3238-2627","affiliations":[{"raw_affiliation_string":"Donald Danforth Plant Science Center, Missouri, USA","institution_ids":["https://openalex.org/I2799511691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020041220"],"corresponding_institution_ids":["https://openalex.org/I2799511691"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.2921999990940094,"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":0.2921999990940094,"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":0.22470000386238098,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.20360000431537628,"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/maize","display_name":"maize","score":0.718999981880188},{"id":"https://openalex.org/keywords/drought-stress","display_name":"drought stress","score":0.9120000004768372},{"id":"https://openalex.org/keywords/heat-stress","display_name":"heat stress","score":0.9929999709129333},{"id":"https://openalex.org/keywords/combined-drought-and-heat-stress","display_name":"combined drought and heat stress","score":0.7720000147819519},{"id":"https://openalex.org/keywords/seedling-phenotype","display_name":"seedling phenotype","score":0.6840000152587891},{"id":"https://openalex.org/keywords/water-use-efficiency","display_name":"water use efficiency","score":0.9269999861717224},{"id":"https://openalex.org/keywords/leaf-water-content","display_name":"leaf water content","score":0.9340000152587891},{"id":"https://openalex.org/keywords/near-infrared-reflectance","display_name":"near-infrared reflectance","score":0.9340000152587891},{"id":"https://openalex.org/keywords/wasserstein-distance","display_name":"Wasserstein distance","score":0.9620000123977661},{"id":"https://openalex.org/keywords/plantcv","display_name":"PlantCV","score":0.6809999942779541},{"id":"https://openalex.org/keywords/high-throughput-phenotyping","display_name":"high-throughput phenotyping","score":0.7839999794960022},{"id":"https://openalex.org/keywords/gene-environment-interaction","display_name":"gene-environment interaction","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5423965454101562},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4783496558666229},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.44908422231674194},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38270455598831177},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.35873714089393616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3527219891548157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32277339696884155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2866150140762329},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2026723027229309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17923304438591003},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10053816437721252},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09562397003173828},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22541/essoar.169724938.83795692/v2","doi":"https://doi.org/10.22541/essoar.169724938.83795692/v2","is_oa":false,"landing_page_url":"https://doi.org/10.22541/essoar.169724938.83795692/v2","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9208999872207642,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7028959631","https://openalex.org/W4387535347","https://openalex.org/W3162991121","https://openalex.org/W4399318878","https://openalex.org/W2317715354","https://openalex.org/W2791147123","https://openalex.org/W2946706963","https://openalex.org/W4413053201","https://openalex.org/W2498583668","https://openalex.org/W4398150695"],"abstract_inverted_index":{"This":[0],"study":[1],"aimed":[2],"to":[3,13,21,33,134,208,226],"investigate":[4],"the":[5,23,43,46,100,125,137,148,156,165,176],"physiological":[6],"and":[7,42,50,56,82,172,195],"morphological":[8],"responses":[9],"of":[10,27,45,69,76,89,124,219],"maize":[11,30],"seedlings":[12],"environmental":[14],"stressors.":[15],"High-throughput":[16],"imaging":[17],"analysis":[18],"was":[19],"used":[20,225],"characterize":[22],"stress":[24,183],"response":[25,207],"phenotypes":[26],"47":[28],"distinct":[29],"genotypes":[31,189],"exposed":[32],"water":[34,73,78,90,180,204,209,233],"limitation":[35],"(40%":[36],"field":[37],"capacity),":[38],"heat":[39],"(38":[40],"\u00b0C),":[41],"combination":[44],"two":[47,96,140,168],"stresses.":[48],"RGB":[49],"NIR":[51,101,144,152,169,217],"images":[52],"were":[53],"collected":[54],"daily,":[55],"analyzed":[57],"with":[58],"open-source,":[59],"open-development":[60],"software":[61],"PlantCV.":[62],"Our":[63],"investigation":[64],"focused":[65],"on":[66],"quantitative":[67],"measurements":[68],"daily":[70,72],"area,":[71],"loss,":[74],"evaluation":[75],"estimated":[77],"use":[79],"efficiency":[80],"(WUE),":[81],"near-infrared":[83],"(NIR)":[84],"reflectance":[85,170,218],"as":[86],"an":[87,131],"estimation":[88],"content":[91,181,234],"in":[92,129,178,215,229,232],"tissues.":[93],"Quantitatively":[94],"comparing":[95],"non-normal":[97],"distributions,":[98,171],"like":[99,111],"histogram":[102],"data,":[103],"can":[104,223],"be":[105,224],"challenging":[106],"but":[107],"important,":[108],"since":[109],"metrics":[110],"median":[112],"mode":[113],"values":[114],"often":[115],"do":[116],"not":[117],"capture":[118],"variation":[119,138,228],"across":[120],"a":[121],"sample.":[122],"One":[123],"primary":[126],"obstacles":[127],"lies":[128],"defining":[130],"appropriate":[132],"metric":[133],"accurately":[135],"quantify":[136],"between":[139,150,167],"distributions.":[141],"To":[142],"analyze":[143],"reflectance,":[145],"we":[146],"evaluated":[147],"dissimilarity":[149],"pairwise":[151,216],"histograms":[153],"by":[154],"utilizing":[155],"earth":[157],"mover\u2019s":[158],"distance":[159],"(EMD)":[160],"analysis.":[161],"The":[162],"EMD":[163,211],"quantifies":[164],"difference":[166,177],"therefore":[173],"indirectly":[174],"evaluates":[175],"leaf":[179],"for":[182],"vs":[184,221],"control":[185,220],"conditions.":[186],"Overall,":[187],"most":[188],"displayed":[190],"growth":[191],"reduction":[192],"under":[193,203],"drought":[194],"heat.":[196],"Interestingly,":[197],"specific":[198],"lines":[199],"exhibited":[200],"heightened":[201],"WUE":[202],"limitation,":[205],"suggesting":[206],"scarcity.":[210],"results":[212],"showing":[213],"dissimilarities":[214],"drought,":[222],"describe":[227],"dynamic":[230],"changes":[231],"levels":[235],"among":[236],"these":[237],"groups.":[238]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2023-10-19T00:00:00"}
