Evidence map›Paper›PMID 40989014›Full record

ArticleQuantitative plant biology2025

Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year.

Amy Watson, Vincent Segura, Yoann Bourhis, Guillaume Perez, Isabelle Farrera, Evelyne Costes, Fernando Andrés

Abstract read
In one paragraph

Article in Quantitative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Amy WatsonUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0002-4505-5895
Vincent SeguraUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0003-1860-2256
Yoann BourhisRothamsted Research, Harpenden, UK.ORCID https://orcid.org/0000-0002-9365-9597
Guillaume PerezUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
Isabelle FarreraUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0002-1210-5032
Evelyne CostesUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0002-4848-2745
Fernando AndrésUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0003-4736-8876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near-infrared spectra (NIRS) from plant tissues can be used to predict traits owing to their relationship to internal biochemical states, shaped by both environmental and genetic components. Here, we tested the use of NIRS as predictors of budbreak the following year. We measured NIRS on leaf and bud tissue, collected at several dates during the growing season, of 240 dessert apple cultivars in 2021 and 2022. NIRS collected in 2021 and budbreak of 2022 were used to train partial least squares (PLSR) models, then tested using NIRS of 2022 to predict budbreak in 2023. A GWAS using these predictions identified a QTL, previously associated to budbreak in apple, indicating a significant genetic component was maintained in the predictions. Our results demonstrate the potential of NIRS to predict future developmental stages, such as budbreak, by detecting the metabolic states that precede them and could aid in genetic studies of difficult-to-measure traits.

Indexed as

applebudbreaknear-infrared spectroscopypartial least squares regressionprediction

Identifiers

PMID40989014
PMCPMC12451250

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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.