Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.
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| Title: | Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine. |
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| Authors: | Collins SM; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA., Cathey MJ; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA., Barrera M; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA., Harris B; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA., Baesen K; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA., Lincoln A; Department of Interior, Bureau of Land Management Grand Junction Field Office, Grand Junction, CO, 81506, USA., Dixit A; Department of Natural Resource Ecology & Management, Oklahoma State University Stillwater, Stillwater, OK, USA., De La Torre AR; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA. Amanda.de-la-torre@nau.edu. |
| Source: | BMC plant biology [BMC Plant Biol] 2026 May 29; Vol. 26 (1). Date of Electronic Publication: 2026 May 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42210081 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Collins+SM%22">Collins SM</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.<br /><searchLink fieldCode="AU" term="%22Cathey+MJ%22">Cathey MJ</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.<br /><searchLink fieldCode="AU" term="%22Barrera+M%22">Barrera M</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.<br /><searchLink fieldCode="AU" term="%22Harris+B%22">Harris B</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.<br /><searchLink fieldCode="AU" term="%22Baesen+K%22">Baesen K</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.<br /><searchLink fieldCode="AU" term="%22Lincoln+A%22">Lincoln A</searchLink>; Department of Interior, Bureau of Land Management Grand Junction Field Office, Grand Junction, CO, 81506, USA.<br /><searchLink fieldCode="AU" term="%22Dixit+A%22">Dixit A</searchLink>; Department of Natural Resource Ecology & Management, Oklahoma State University Stillwater, Stillwater, OK, USA.<br /><searchLink fieldCode="AU" term="%22De+La+Torre+AR%22">De La Torre AR</searchLink>; School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA. Amanda.de-la-torre@nau.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100967807%22">BMC plant biology</searchLink> [BMC Plant Biol] 2026 May 29; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 May 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967807 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2229 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712229%22">14712229 </searchLink><i>NLM ISO Abbreviation: </i>BMC Plant Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42210081 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12870-026-09113-5 Languages: – Code: eng Text: English Titles: – TitleFull: Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Collins SM – PersonEntity: Name: NameFull: Cathey MJ – PersonEntity: Name: NameFull: Barrera M – PersonEntity: Name: NameFull: Harris B – PersonEntity: Name: NameFull: Baesen K – PersonEntity: Name: NameFull: Lincoln A – PersonEntity: Name: NameFull: Dixit A – PersonEntity: Name: NameFull: De La Torre AR IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 05 Text: 2026 May 29 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1471-2229 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: BMC plant biology Type: main |
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