Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand.
Identifieur interne : 000150 ( Main/Exploration ); précédent : 000149; suivant : 000151Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand.
Auteurs : Ahmed Ismael [Nouvelle-Zélande] ; Mari Suontama [Nouvelle-Zélande, Suède] ; Jaroslav Klápšt [Nouvelle-Zélande] ; Stuart Kennedy [Nouvelle-Zélande] ; Natalie Graham [Nouvelle-Zélande] ; Emily Telfer [Nouvelle-Zélande] ; Heidi Dungey [Nouvelle-Zélande]Source :
- Frontiers in plant science [ 1664-462X ] ; 2020.
Abstract
Increasing resistance against foliar diseases is an important goal in the Pinus radiata D.Don breeding program in New Zealand, and screening for resistance has been in place for some time, since the late 1960s. The current study presents results of four progeny trials within the breeding program to investigate whether multiple disease resistance could be detected against three different needle diseases in P. radiata: Dothistroma needle blight (DNB) caused by Dothistroma septosporum, Cyclaneusma needle cast (CNC) caused by Cyclaneusma minus, and red needle cast (RNC) caused by Phytophthora pluvialis. Four progeny trials in the North Island of New Zealand were available to estimate heritabilities and between-trait genetic correlations. Two of the trials were assessed for DNB, involving 63 full-sib families. A third trial was assessed for CNC, involving 172 half-sib families, and a fourth trial was assessed for RNC, involving 170 half-sib families. Disease resistances had moderate estimates of heritability (0.28-0.48) in all trials. We investigated the potential for multiple disease resistance to the three foliar diseases by estimating genetic correlations between disease resistances using a spatial linear mixed model. The correlation between DNB and CNC resistance was favorable and strong (0.81), indicating that genotypes that are highly resistant to DNB also have a high resistance to CNC. These results suggest that selection based on resistance to DNB could allow for simultaneous indirect selection for resistance to CNC, usually only expressed at a later age. This would allow selections to be made earlier due to the earlier expression of DNB than CNC and reduce the number of expensive disease assessments being undertaken. Conversely, genetic correlation estimates for RNC with DNB and CNC were close to zero, and very imprecise. As such, later-age assessments for this disease would still be required.
DOI: 10.3389/fpls.2020.01044
PubMed: 32754186
PubMed Central: PMC7365928
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in <i>Pinus radiata D.Don</i> in New Zealand.</title><author><name sortKey="Ismael, Ahmed" sort="Ismael, Ahmed" uniqKey="Ismael A" first="Ahmed" last="Ismael">Ahmed Ismael</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Suontama, Mari" sort="Suontama, Mari" uniqKey="Suontama M" first="Mari" last="Suontama">Mari Suontama</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Tree Breeding, Skogforsk, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Tree Breeding, Skogforsk, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Kennedy, Stuart" sort="Kennedy, Stuart" uniqKey="Kennedy S" first="Stuart" last="Kennedy">Stuart Kennedy</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Graham, Natalie" sort="Graham, Natalie" uniqKey="Graham N" first="Natalie" last="Graham">Natalie Graham</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Telfer, Emily" sort="Telfer, Emily" uniqKey="Telfer E" first="Emily" last="Telfer">Emily Telfer</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Dungey, Heidi" sort="Dungey, Heidi" uniqKey="Dungey H" first="Heidi" last="Dungey">Heidi Dungey</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32754186</idno><idno type="pmid">32754186</idno><idno type="doi">10.3389/fpls.2020.01044</idno><idno type="pmc">PMC7365928</idno><idno type="wicri:Area/Main/Corpus">000106</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000106</idno><idno type="wicri:Area/Main/Curation">000106</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000106</idno><idno type="wicri:Area/Main/Exploration">000106</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in <i>Pinus radiata D.Don</i> in New Zealand.</title><author><name sortKey="Ismael, Ahmed" sort="Ismael, Ahmed" uniqKey="Ismael A" first="Ahmed" last="Ismael">Ahmed Ismael</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Suontama, Mari" sort="Suontama, Mari" uniqKey="Suontama M" first="Mari" last="Suontama">Mari Suontama</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Tree Breeding, Skogforsk, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Tree Breeding, Skogforsk, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Kennedy, Stuart" sort="Kennedy, Stuart" uniqKey="Kennedy S" first="Stuart" last="Kennedy">Stuart Kennedy</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Graham, Natalie" sort="Graham, Natalie" uniqKey="Graham N" first="Natalie" last="Graham">Natalie Graham</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Telfer, Emily" sort="Telfer, Emily" uniqKey="Telfer E" first="Emily" last="Telfer">Emily Telfer</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author><author><name sortKey="Dungey, Heidi" sort="Dungey, Heidi" uniqKey="Dungey H" first="Heidi" last="Dungey">Heidi Dungey</name><affiliation wicri:level="1"><nlm:affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</nlm:affiliation><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Forest Genetics, Scion, Rotorua</wicri:regionArea><wicri:noRegion>Rotorua</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Increasing resistance against foliar diseases is an important goal in the <i>Pinus radiata</i> D.Don breeding program in New Zealand, and screening for resistance has been in place for some time, since the late 1960s. The current study presents results of four progeny trials within the breeding program to investigate whether multiple disease resistance could be detected against three different needle diseases in <i>P. radiata</i>: <i>Dothistroma</i> needle blight (DNB) caused by <i>Dothistroma septosporum</i>, <i>Cyclaneusma</i> needle cast (CNC) caused by <i>Cyclaneusma minus</i>, and red needle cast (RNC) caused by <i>Phytophthora pluvialis.</i> Four progeny trials in the North Island of New Zealand were available to estimate heritabilities and between-trait genetic correlations. Two of the trials were assessed for DNB, involving 63 full-sib families. A third trial was assessed for CNC, involving 172 half-sib families, and a fourth trial was assessed for RNC, involving 170 half-sib families. Disease resistances had moderate estimates of heritability (0.28-0.48) in all trials. We investigated the potential for multiple disease resistance to the three foliar diseases by estimating genetic correlations between disease resistances using a spatial linear mixed model. The correlation between DNB and CNC resistance was favorable and strong (0.81), indicating that genotypes that are highly resistant to DNB also have a high resistance to CNC. These results suggest that selection based on resistance to DNB could allow for simultaneous indirect selection for resistance to CNC, usually only expressed at a later age. This would allow selections to be made earlier due to the earlier expression of DNB than CNC and reduce the number of expensive disease assessments being undertaken. Conversely, genetic correlation estimates for RNC with DNB and CNC were close to zero, and very imprecise. As such, later-age assessments for this disease would still be required.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32754186</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>11</Volume><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in <i>Pinus radiata D.Don</i> in New Zealand.</ArticleTitle><Pagination><MedlinePgn>1044</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2020.01044</ELocationID><Abstract><AbstractText>Increasing resistance against foliar diseases is an important goal in the <i>Pinus radiata</i> D.Don breeding program in New Zealand, and screening for resistance has been in place for some time, since the late 1960s. The current study presents results of four progeny trials within the breeding program to investigate whether multiple disease resistance could be detected against three different needle diseases in <i>P. radiata</i>: <i>Dothistroma</i> needle blight (DNB) caused by <i>Dothistroma septosporum</i>, <i>Cyclaneusma</i> needle cast (CNC) caused by <i>Cyclaneusma minus</i>, and red needle cast (RNC) caused by <i>Phytophthora pluvialis.</i> Four progeny trials in the North Island of New Zealand were available to estimate heritabilities and between-trait genetic correlations. Two of the trials were assessed for DNB, involving 63 full-sib families. A third trial was assessed for CNC, involving 172 half-sib families, and a fourth trial was assessed for RNC, involving 170 half-sib families. Disease resistances had moderate estimates of heritability (0.28-0.48) in all trials. We investigated the potential for multiple disease resistance to the three foliar diseases by estimating genetic correlations between disease resistances using a spatial linear mixed model. The correlation between DNB and CNC resistance was favorable and strong (0.81), indicating that genotypes that are highly resistant to DNB also have a high resistance to CNC. These results suggest that selection based on resistance to DNB could allow for simultaneous indirect selection for resistance to CNC, usually only expressed at a later age. This would allow selections to be made earlier due to the earlier expression of DNB than CNC and reduce the number of expensive disease assessments being undertaken. Conversely, genetic correlation estimates for RNC with DNB and CNC were close to zero, and very imprecise. As such, later-age assessments for this disease would still be required.</AbstractText><CopyrightInformation>Copyright © 2020 Ismael, Suontama, Klápště, Kennedy, Graham, Telfer and Dungey.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ismael</LastName><ForeName>Ahmed</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Suontama</LastName><ForeName>Mari</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tree Breeding, Skogforsk, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Klápště</LastName><ForeName>Jaroslav</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kennedy</LastName><ForeName>Stuart</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Graham</LastName><ForeName>Natalie</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Telfer</LastName><ForeName>Emily</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dungey</LastName><ForeName>Heidi</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Forest Genetics, Scion, Rotorua, New Zealand.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant Sci</MedlineTA><NlmUniqueID>101568200</NlmUniqueID><ISSNLinking>1664-462X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cyclaneusma</Keyword><Keyword MajorTopicYN="N">Dothistroma</Keyword><Keyword MajorTopicYN="N">Phytopththora pluvialis</Keyword><Keyword MajorTopicYN="N">disease resistance</Keyword><Keyword MajorTopicYN="N">foliar diseases</Keyword><Keyword MajorTopicYN="N">genetic correlation</Keyword><Keyword MajorTopicYN="N">heritability</Keyword><Keyword MajorTopicYN="N">needle retention</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>04</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>6</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32754186</ArticleId><ArticleId IdType="doi">10.3389/fpls.2020.01044</ArticleId><ArticleId IdType="pmc">PMC7365928</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Plant Dis. 2016 Jul;100(7):1271-1277</Citation><ArticleIdList><ArticleId IdType="pubmed">30686201</ArticleId></ArticleIdList></Reference><Reference><Citation>Genetics. 2005 Apr;169(4):2277-93</Citation><ArticleIdList><ArticleId IdType="pubmed">15716503</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2017 Jul 11;114(28):7391-7396</Citation><ArticleIdList><ArticleId IdType="pubmed">28652352</ArticleId></ArticleIdList></Reference><Reference><Citation>Theor Appl Genet. 2010 Jul;121(2):205-27</Citation><ArticleIdList><ArticleId IdType="pubmed">20217383</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Plant Biol. 2020 May 11;20(1):205</Citation><ArticleIdList><ArticleId IdType="pubmed">32393229</ArticleId></ArticleIdList></Reference><Reference><Citation>Plant Pathol. 2016 Aug;65(6):987-996</Citation><ArticleIdList><ArticleId IdType="pubmed">27587900</ArticleId></ArticleIdList></Reference><Reference><Citation>Plant Dis. 2019 Jul;103(7):1631-1641</Citation><ArticleIdList><ArticleId IdType="pubmed">31033400</ArticleId></ArticleIdList></Reference><Reference><Citation>Ecol Evol. 2014 Sep;4(18):3642-61</Citation><ArticleIdList><ArticleId IdType="pubmed">25478155</ArticleId></ArticleIdList></Reference><Reference><Citation>Proc Natl Acad Sci U S A. 2011 May 3;108(18):7339-44</Citation><ArticleIdList><ArticleId IdType="pubmed">21490302</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Genet. 2014 Mar 04;15:30</Citation><ArticleIdList><ArticleId IdType="pubmed">24593261</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Nouvelle-Zélande</li><li>Suède</li></country></list><tree><country name="Nouvelle-Zélande"><noRegion><name sortKey="Ismael, Ahmed" sort="Ismael, Ahmed" uniqKey="Ismael A" first="Ahmed" last="Ismael">Ahmed Ismael</name></noRegion><name sortKey="Dungey, Heidi" sort="Dungey, Heidi" uniqKey="Dungey H" first="Heidi" last="Dungey">Heidi Dungey</name><name sortKey="Graham, Natalie" sort="Graham, Natalie" uniqKey="Graham N" first="Natalie" last="Graham">Natalie Graham</name><name sortKey="Kennedy, Stuart" sort="Kennedy, Stuart" uniqKey="Kennedy S" first="Stuart" last="Kennedy">Stuart Kennedy</name><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name><name sortKey="Suontama, Mari" sort="Suontama, Mari" uniqKey="Suontama M" first="Mari" last="Suontama">Mari Suontama</name><name sortKey="Telfer, Emily" sort="Telfer, Emily" uniqKey="Telfer E" first="Emily" last="Telfer">Emily Telfer</name></country><country name="Suède"><noRegion><name sortKey="Suontama, Mari" sort="Suontama, Mari" uniqKey="Suontama M" first="Mari" last="Suontama">Mari Suontama</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PhytophthoraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000150 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000150 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PhytophthoraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32754186
|texte= Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32754186" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhytophthoraV1
| This area was generated with Dilib version V0.6.38. |  |