Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year
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 bu...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2025-01-01
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| Series: | Quantitative Plant Biology |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2632882825100192/type/journal_article |
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| author | Amy Watson Vincent Segura Yoann Bourhis Guillaume Perez Isabelle Farrera Evelyne Costes Fernando Andrés |
| author_facet | Amy Watson Vincent Segura Yoann Bourhis Guillaume Perez Isabelle Farrera Evelyne Costes Fernando Andrés |
| author_sort | Amy Watson |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dfd6233e0075459fb9a962cdc5b9ffd4 |
| institution | Kabale University |
| issn | 2632-8828 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Quantitative Plant Biology |
| spelling | doaj-art-dfd6233e0075459fb9a962cdc5b9ffd42025-08-20T07:22:21ZengCambridge University PressQuantitative Plant Biology2632-88282025-01-01610.1017/qpb.2025.10019Using near-infrared spectroscopy (NIRS) to predict budbreak of the following yearAmy Watson0https://orcid.org/0000-0002-4505-5895Vincent Segura1https://orcid.org/0000-0003-1860-2256Yoann Bourhis2https://orcid.org/0000-0002-9365-9597Guillaume Perez3Isabelle Farrera4https://orcid.org/0000-0002-1210-5032Evelyne Costes5https://orcid.org/0000-0002-4848-2745Fernando Andrés6https://orcid.org/0000-0003-4736-8876UMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, FranceUMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, Francehttps://ror.org/0347fy350Rothamsted Research, Harpenden, UKUMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, FranceUMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, FranceUMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, FranceUMR AGAP Institut, https://ror.org/01x3gbx83Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas, Universidad Politécnica de Valencia, Campus de la Universidad Politécnica de Valencia, 46022 Valencia, SpainNear-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.https://www.cambridge.org/core/product/identifier/S2632882825100192/type/journal_articleapplebudbreaknear-infrared spectroscopypartial least squares regressionprediction |
| spellingShingle | Amy Watson Vincent Segura Yoann Bourhis Guillaume Perez Isabelle Farrera Evelyne Costes Fernando Andrés Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year Quantitative Plant Biology apple budbreak near-infrared spectroscopy partial least squares regression prediction |
| title | Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year |
| title_full | Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year |
| title_fullStr | Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year |
| title_full_unstemmed | Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year |
| title_short | Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year |
| title_sort | using near infrared spectroscopy nirs to predict budbreak of the following year |
| topic | apple budbreak near-infrared spectroscopy partial least squares regression prediction |
| url | https://www.cambridge.org/core/product/identifier/S2632882825100192/type/journal_article |
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