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High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

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Bibliographic Details
Published in:Plant Phenome Journal
Format: Online Article RSS Article
Published: 2026
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container_title Plant Phenome Journal
description
discipline_display Agriculture & Food Sciences
discipline_facet Agriculture & Food Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:10810
institution FRELIP
journal_source_facet Plant Phenome Journal
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
— — — — Agronomy and Crop Science
Agricultural Sciences
Agriculture & Food Sciences
sub_discipline_display Agricultural Sciences
sub_discipline_facet Agricultural Sciences
subject_display — — — — Agronomy and Crop Science
Agricultural Sciences
Agriculture & Food Sciences
— — — — Agronomy and Crop Science
Agricultural Sciences
Agriculture & Food Sciences
subject_facet — — — — Agronomy and Crop Science
Agricultural Sciences
Agriculture & Food Sciences
title High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_auth High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_full High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_fullStr High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_full_unstemmed High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_short High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
title_sort high‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
topic — — — — Agronomy and Crop Science
Agricultural Sciences
Agriculture & Food Sciences
url https://acsess.onlinelibrary.wiley.com/doi/10.1002/ppj2.70072?af=R