<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>34417</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>16</pageNumber>
    <edition/>
    <issue>2</issue>
    <volume>5</volume>
    <type>articler</type>
    <publisherName>Oxford University Press (OUP)</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-11-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Wheat crop traits conferring high yield potential may also improve yield stability under climate change</title>
    <abstract language="eng">Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring major changes in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regional productivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework to explore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient) across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfed environments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfed sites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effect on yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured by standard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improved genotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from these traits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yield variability.</abstract>
    <parentTitle language="eng">in silico Plants</parentTitle>
    <identifier type="doi">10.1093/insilicoplants/diad013</identifier>
    <identifier type="issn">2517-5025</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_doi_json">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T14:31:01Z","timestamp":1726410661053},"reference-count":117,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"content-version":"vor","delay-in-days":76,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"International Wheat Yield Partnership","award":["IWYP115"]},{"name":"Agricultural Model Intercomparison and Improvement Project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,1]]},"abstract":"&lt;jats:title&gt;Abstract&lt;\/jats:title&gt;\n               &lt;jats:p&gt;Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring major changes in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regional productivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework to explore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient) across 34 locations representing the world\u2019s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfed environments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfed sites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effect on yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured by standard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improved genotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from these traits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yield variability.&lt;\/jats:p&gt;","DOI":"10.1093\/insilicoplants\/diad013","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T17:18:33Z","timestamp":1694798313000},"source":"Crossref","is-referenced-by-count":2,"title":["Wheat crop traits conferring high yield potential may also improve yield stability under climate change"],"prefix":"10.1093","volume":"5","author":[{"given":"Tommaso","family":"Stella","sequence":"first","affiliation":[{"name":"Leibniz Centre for Agricultural Landscape Research , 15374 M\u00fcncheberg , Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8301-5424","authenticated-orcid":false,"given":"Heidi","family":"Webber","sequence":"additional","affiliation":[{"name":"Leibniz Centre for Agricultural Landscape Research , 15374 M\u00fcncheberg , Germany"},{"name":"Environment and Natural Sciences Faculty, Brandenburg University of Technology (BTU) , 03046 Cottbus , Germany"}]},{"given":"Ehsan","family":"Eyshi Rezaei","sequence":"additional","affiliation":[{"name":"Leibniz Centre for Agricultural Landscape Research , 15374 M\u00fcncheberg , Germany"}]},{"given":"Senthold","family":"Asseng","sequence":"additional","affiliation":[{"name":"Department of Life Science Engineering, Digital Agriculture, Technical University of Munich , 85354 Freising , Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7419-6558","authenticated-orcid":false,"given":"Pierre","family":"Martre","sequence":"additional","affiliation":[{"name":"LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro , 34060 Montpellier , France"}]},{"given":"Sibylle","family":"Dueri","sequence":"additional","affiliation":[{"name":"LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro , 34060 Montpellier , France"}]},{"given":"Jose","family":"Rafael Guarin","sequence":"additional","affiliation":[{"name":"Agricultural and Biological Engineering Department, University of Florida , 32611-0570 Gainesville, FL , USA"},{"key":"2023100712004121300_CIT0117","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1111\/gcb.13118","article-title":"Velocity of temperature and flowering time in wheat\u2014assisting breeders to keep pace with climate change","volume":"22","author":"Zheng","year":"2016","journal-title":"Global Change Biology"}],"container-title":["in silico Plants"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/insilicoplants\/advance-article-pdf\/doi\/10.1093\/insilicoplants\/diad013\/51606627\/diad013.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/insilicoplants\/article-pdf\/5\/2\/diad013\/51930112\/diad013.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/insilicoplants\/article-pdf\/5\/2\/diad013\/51930112\/diad013.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T12:02:37Z","timestamp":1696680157000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/insilicoplants\/article\/doi\/10.1093\/insilicoplants\/diad013\/7274856"}},"subtitle":[],"editor":[{"given":"Graeme","family":"Hammer","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":117,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,7,1]]}},"URL":"http:\/\/dx.doi.org\/10.1093\/insilicoplants\/diad013","relation":{},"ISSN":["2517-5025"],"issn-type":[{"value":"2517-5025","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,7,1]]},"published":{"date-parts":[[2023,7,1]]}}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="opus_crossrefLicence">https://creativecommons.org/licenses/by/4.0/</enrichment>
    <enrichment key="opus_import_origin">crossref</enrichment>
    <enrichment key="opus_doiImportPopulated">PersonEditorFirstName_1,PersonEditorLastName_1,PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorFirstName_5,PersonAuthorLastName_5,PersonAuthorIdentifierOrcid_5,PersonAuthorFirstName_6,PersonAuthorLastName_6,PersonAuthorFirstName_7,PersonAuthorLastName_7,PersonAuthorFirstName_8,PersonAuthorLastName_8,PersonAuthorFirstName_9,PersonAuthorLastName_9,PersonAuthorFirstName_10,PersonAuthorLastName_10,PersonAuthorIdentifierOrcid_10,PersonAuthorFirstName_11,PersonAuthorLastName_11,PersonAuthorFirstName_12,PersonAuthorLastName_12,PersonAuthorFirstName_13,PersonAuthorLastName_13,PersonAuthorFirstName_14,PersonAuthorLastName_14,PersonAuthorFirstName_15,PersonAuthorLastName_15,PersonAuthorFirstName_16,PersonAuthorLastName_16,PersonAuthorFirstName_17,PersonAuthorLastName_17,PersonAuthorFirstName_18,PersonAuthorLastName_18,PersonAuthorFirstName_19,PersonAuthorLastName_19,PublisherName,TitleMain_1,Language,TitleAbstract_1,TitleParent_1,Issue,Volume,PublishedYear,IdentifierIssn,Enrichmentopus_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <author>
      <firstName>Tommaso</firstName>
      <lastName>Stella</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Heidi</firstName>
      <lastName>Webber</lastName>
    </author>
    <author>
      <firstName>Ehsan Eyshi</firstName>
      <lastName>Rezaei</lastName>
    </author>
    <author>
      <firstName>Senthold</firstName>
      <lastName>Asseng</lastName>
    </author>
    <author>
      <firstName>Pierre</firstName>
      <lastName>Martre</lastName>
    </author>
    <author>
      <firstName>Sibylle</firstName>
      <lastName>Dueri</lastName>
    </author>
    <author>
      <firstName>Jose Rafael</firstName>
      <lastName>Guarin</lastName>
    </author>
    <author>
      <firstName>Diego</firstName>
      <lastName>Pequeno</lastName>
    </author>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Calderini</lastName>
    </author>
    <author>
      <firstName>Matthew</firstName>
      <lastName>Reynolds</lastName>
    </author>
    <author>
      <firstName>Gemma</firstName>
      <lastName>Molero</lastName>
    </author>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Miralles</lastName>
    </author>
    <author>
      <firstName>Guillermo</firstName>
      <lastName>Garcia</lastName>
    </author>
    <author>
      <firstName>Gustavo A.</firstName>
      <lastName>Slafer</lastName>
    </author>
    <author>
      <firstName>Francesco</firstName>
      <lastName>Giunta</lastName>
    </author>
    <author>
      <firstName>Yean-Uk</firstName>
      <lastName>Kim</lastName>
    </author>
    <author>
      <firstName>Chenzhi</firstName>
      <lastName>Wang</lastName>
    </author>
    <author>
      <firstName>Alex C.</firstName>
      <lastName>Ruane</lastName>
    </author>
    <author>
      <firstName>Frank</firstName>
      <lastName>Ewert</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>climate change</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>climate risk</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>genetic yield potential</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wheat</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>yield variability</value>
    </subject>
    <collection role="institutes" number="2422">FG Integrated Crop Systems Analysis and Modelling</collection>
  </doc>
</export-example>
