Evidence map›Paper›PMID 39649812›Full record

ArticleFrontiers in plant science2024

High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.

Rosa Mérida-García, Sergio Gálvez, Ignacio Solís, Fernando Martínez-Moreno, Carlos Camino, Jose Miguel Soriano, Carolina Sansaloni, Karim Ammar, Alison R Bentley, Victoria Gonzalez-Dugo and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
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  4. Hyperspectral phenotyping and GWAS identify novel QTLs for soybean photosynthetic rate.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Rosa Mérida-GarcíaInstitute for Sustainable Agriculture (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.
Sergio GálvezDepartment of Languages and Computer Science, ETSI Informática, Universidad de Málaga, Andalucía Tech, Málaga, Spain.
Ignacio SolísDepartment of Agronomy, ETSIA (University of Seville), Seville, Spain.
Fernando Martínez-MorenoDepartment of Agronomy, ETSIA (University of Seville), Seville, Spain.
Carlos CaminoEuropean Commission (EC), Joint Research Centre (JRC), Ispra, Italy.
Jose Miguel SorianoDepartment of Agricultural and Forest Sciences and Engineering, University of Lleida - AGROTECNIO, Lleida, Spain.
Carolina SansaloniInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, México, Mexico.
Karim AmmarInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, México, Mexico.
Alison R BentleyResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Victoria Gonzalez-DugoInstitute for Sustainable Agriculture (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.
Pablo J Zarco-TejadaInstitute for Sustainable Agriculture (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.
Pilar HernandezInstitute for Sustainable Agriculture (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the genetic basis of drought-adaptive traits, which is essential in current wheat breeding programs. The combined use of HTP and genome-wide association (GWAS) approaches has been useful in the assessment of complex traits such as yield, under field stress conditions including heat and drought. The aim of this study was to identify molecular markers associated with yield (YLD) in elite durum wheat that could be explained using hyperspectral indices (HSIs) under drought field conditions in Mediterranean environments in Southern Spain. The HSIs were obtained from hyperspectral imagery collected during the pre-anthesis and anthesis crop stages using an airborne platform. A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. The material was phenotyped for YLD and 19 HSIs for six growing seasons under drought field conditions at two locations in Andalusia, in southern Spain. GWAS analysis identified 740 significant marker-trait associations (MTAs) across all the durum wheat chromosomes, several of which were common for YLD and the HSIs, and can potentially be integrated into breeding programs. Candidate gene (CG) analysis uncovered genes related to important plant processes such as photosynthesis, regulatory biological processes, and plant abiotic stress tolerance. These results are novel in that they combine high-resolution hyperspectral imaging at the field scale with GWAS analysis in wheat. They also support the use of HSIs as useful tools for identifying chromosomal regions related to the heat and drought stress response in wheat, and pave the way for the integration of field HTP in wheat breeding programs.

Indexed as

droughtdurum wheatGWASheatHTPhyperspectralstressyield

Identifiers

PMID39649812
PMCPMC11620856

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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.