{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T16:01:21Z","timestamp":1774022481827,"version":"3.50.1"},"reference-count":24,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T00:00:00Z","timestamp":1773792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100011929","name":"Foundation for Food and Agriculture Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011929","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Plant Sci."],"abstract":"<jats:p>\n                    Doubled haploid (DH) technology can fast-track crop breeding. Haploid induction yields haploids with only one set of genomes, which are usually sterile. Haploid fertility (HF) is the ability of haploid plants to set seed, and it is a critical bottleneck in DH pipelines. Genetic mechanisms to restore HF hold immense potential in DH crop breeding, yet its phenotyping remains manual, destructive, and inconsistent. While recent advances in imaging and machine learning have improved throughput for general plant traits, no curated image dataset exists for\n                    <jats:italic>Arabidopsis thaliana<\/jats:italic>\n                    that explicitly represents HF. Here, we present AutoSiQ, a dataset and baseline deep learning pipeline for automated HF quantification. AutoSiQ includes high-resolution scanned inflorescences annotated with a seven-class ontology encompassing green siliques, green fertile siliques, mature siliques, fertile siliques, cracked fertile siliques, cracked siliques, and flowers. This multi-class annotation scheme preserves biologically meaningful information beyond binary fertile\/non-fertile distinctions, enabling reliable fertility estimation and future phenotyping applications. We release baseline object detection models (YOLOv5), trained using the AutoSiQ dataset, and evaluate their performance across confidence thresholds. Model predictions strongly correlate with manual counts, achieving R\u00b2 up to 0.94 for total silique number estimation. We further demonstrate AutoSiQ\u2019s utility for automated haploid fertility rate (HFR) estimation and genotype discrimination between two contrasting genotypes (WT and\n                    <jats:italic>bmf2<\/jats:italic>\n                    mutant). A longitudinal analysis identifies ~60 days after sowing (DAS) as the optimal harvest time for maximizing mature silique counts by balancing between the number of immature buds and silique shattering. By releasing both the dataset and baseline code, AutoSiQ provides a reproducible and extensible foundation for high-throughput fertility phenotyping in haploid\n                    <jats:italic>Arabidopsis<\/jats:italic>\n                    .\n                  <\/jats:p>","DOI":"10.3389\/fpls.2026.1767588","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T07:01:25Z","timestamp":1773817285000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AutoSiQ: a curated haploid Arabidopsis thaliana inflorescence dataset with a fine-grained silique ontology and a deep learning application for haploid fertility quantification"],"prefix":"10.3389","volume":"17","author":[{"given":"Liming","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Agronomy, Iowa State University","place":["Ames, IA, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Talukder Z.","family":"Jubery","sequence":"additional","affiliation":[{"name":"Translational AI Research and Education Center, Iowa State University","place":["Ames, IA, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baskar","family":"Ganapathysubramanian","sequence":"additional","affiliation":[{"name":"Translational AI Research and Education Center, Iowa State University","place":["Ames, IA, United States"]},{"name":"Department of Mechanical Engineering, Iowa State University","place":["Ames, IA, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"L\u00fcbberstedt","sequence":"additional","affiliation":[{"name":"Department of Agronomy, Iowa State University","place":["Ames, IA, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddique I.","family":"Aboobucker","sequence":"additional","affiliation":[{"name":"Department of Agronomy, Iowa State University","place":["Ames, IA, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,18]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41477-022-01332-6","article-title":"Haploid male fertility is restored by parallel spindle genes in Arabidopsis thaliana","volume":"9","author":"Aboobucker","year":"2023","journal-title":"Nat. Plants"},{"key":"B2","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/s00138-015-0720-z","article-title":"A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thaliana","volume":"27","author":"Augustin","year":"2015","journal-title":"Mach. Vision Appl."},{"key":"B3","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1093\/oxfordjournals.jhered.a104294","article-title":"Methods of inducing doubling of chromosomes in plants: by treatment with colchicine *","volume":"28","author":"Blakeslee","year":"1937","journal-title":"J. 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Biol."},{"key":"B21","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1038\/nature08842","article-title":"Haploid plants produced by centromere-mediated genome elimination","volume":"464","author":"Ravi","year":"2010","journal-title":"Nature"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1804.02767","article-title":"YOLOv3: an incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv"},{"key":"B24","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1186\/s13007-018-0331-6","article-title":"Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana","volume":"14","author":"Vasseur","year":"2018","journal-title":"Plant Methods"},{"key":"B25","article-title":"CSPNet: A new backbone that can enhance learning capability of CNN","author":"Wang","year":"2019"},{"key":"B26","doi-asserted-by":"publisher","first-page":"1632","DOI":"10.1104\/pp.108.134072","article-title":"HYPOTrace: Image analysis software for measuring hypocotyl growth and shape demonstrated on Arabidopsis seedlings undergoing photomorphogenesis","volume":"149","author":"Wang","year":"2009","journal-title":"Plant Physiol."}],"container-title":["Frontiers in Plant Science"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpls.2026.1767588\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:04:14Z","timestamp":1774019054000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpls.2026.1767588\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,18]]},"references-count":24,"alternative-id":["10.3389\/fpls.2026.1767588"],"URL":"https:\/\/doi.org\/10.3389\/fpls.2026.1767588","relation":{},"ISSN":["1664-462X"],"issn-type":[{"value":"1664-462X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,18]]},"article-number":"1767588"}}