Evidence map›Paper›PMID 38908006›Full record

ArticleAnnals of botany2024

Three-dimensional image analysis specifies the root distribution for drought avoidance in the early growth stage of rice.

Yuko Numajiri, Saki Yoshida, Takeshi Hayashi, Yusaku Uga

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Article in Annals of botany, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuko NumajiriInstitute of Crop Science, National Agriculture and Food Research Organization, 2-1-2, Kan-non-dai, Tsukuba, Ibaraki, 305-8518, Japan.
Saki YoshidaInstitute of Crop Science, National Agriculture and Food Research Organization, 2-1-2, Kan-non-dai, Tsukuba, Ibaraki, 305-8518, Japan.
Takeshi HayashiResearch Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 2-14-1 Nishi-shinbashi, Minato-ku, Tokyo, 105-0003, Japan.
Yusaku UgaInstitute of Crop Science, National Agriculture and Food Research Organization, 2-1-2, Kan-non-dai, Tsukuba, Ibaraki, 305-8518, Japan.ORCID 0000-0003-4006-954X

Funding

Core Research for Evolutional Science and Technology JPMJCR17O1Japan Science and Technology Agency
6 · The paper itself

Abstract

BACKGROUND AND

aimsRoot system architecture (RSA) plays a key role in plant adaptation to drought, because deep rooting enables better water uptake than shallow rooting under terminal drought. Understanding RSA during early plant development is essential for improving crop yields, because early drought can affect subsequent shoot growth. Herein, we demonstrate that root distribution in the topsoil significantly impacts shoot growth during the early stages of rice (Oryza sativa) development under drought, as assessed through three-dimensional image analysis.

methodsWe used 109 F12 recombinant inbred lines obtained from a cross between shallow-rooting lowland rice and deep-rooting upland rice, representing a population with diverse RSA. We applied a moderate drought during the early development of rice grown in a plant pot (25 cm in height) by stopping irrigation 14 days after sowing. Time-series RSA at 14, 21 and 28 days after sowing was visualized by X-ray computed tomography and, subsequently, compared between drought and well-watered conditions. After this analysis, we investigated drought-avoidant RSA further by testing 20 randomly selected recombinant inbred lines in drought conditions. KEY

resultsWe inferred the root location that most influences shoot growth using a hierarchical Bayes approach: the root segment depth that impacted shoot growth positively ranged between 1.7 and 3.4 cm in drought conditions and between 0.0 and 1.7 cm in well-watered conditions. Drought-avoidant recombinant inbred lines had a higher root density in the lower layers of the topsoil compared with the others.

conclusionsFine classification of soil layers using three-dimensional image analysis revealed that increasing root density in the lower layers of the topsoil, rather than in the subsoil, is advantageous for drought avoidance during the early growth stage of rice.

Indexed as

DroughtsImaging, Three-DimensionalOryzaPlant RootsPlant ShootsDrought resistancerice (Oryza sativa)root phenotypingroot system architecturethree-dimensional imagingX-ray computed tomography

Identifiers

PMID38908006
PMCPMC11523609

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.