Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice

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dc.contributor.authorCampbell, Malachy T.en
dc.contributor.authorGrondin, Alexandreen
dc.contributor.authorWalia, Harkamalen
dc.contributor.authorMorota, Gotaen
dc.contributor.departmentAnimal and Poultry Sciencesen
dc.date.accessioned2020-12-08T14:10:33Zen
dc.date.available2020-12-08T14:10:33Zen
dc.date.issued2020-09-19en
dc.description.abstractElucidating genotype-by-environment interactions and partitioning its contribution to phenotypic variation remains a challenge for plant scientists. We propose a framework that utilizes genome-wide markers to model genotype-specific shoot growth trajectories as a function of time and soil water availability. A rice diversity panel was phenotyped daily for 21 d using an automated, high-throughput image-based, phenotyping platform that enabled estimation of daily shoot biomass and soil water content. Using these data, we modeled shoot growth as a function of time and soil water content, and were able to determine the time point where an inflection in the growth trajectory occurred. We found that larger, more vigorous plants exhibited an earlier repression in growth compared with smaller, slow-growing plants, indicating a trade-off between early vigor and tolerance to prolonged water deficits. Genomic inference for model parameters and time of inflection (TOI) identified several candidate genes. This study is the first to utilize a genome-enabled growth model to study drought responses in rice, and presents a new approach to jointly model dynamic morpho-physiological responses and environmental covariates.en
dc.description.notesFunding for this research was provided by the National Science Foundation (United States) through award no. 1238125 to HW, and award no. 1736192 to HW and GM.en
dc.description.sponsorshipNational Science Foundation (United States)National Science Foundation (NSF) [1238125, 1736192]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1093/jxb/eraa280en
dc.identifier.eissn1460-2431en
dc.identifier.issn0022-0957en
dc.identifier.issue18en
dc.identifier.pmid32526013en
dc.identifier.urihttp://hdl.handle.net/10919/101041en
dc.identifier.volume71en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAquaporinen
dc.subjectdroughten
dc.subjectgenome-wide association studyen
dc.subjectgenomicsen
dc.subjectgrowth modelen
dc.subjectphenomicsen
dc.subjectriceen
dc.titleLeveraging genome-enabled growth models to study shoot growth responses to water deficit in riceen
dc.title.serialJournal of Experimental Botanyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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