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Record W4406130984 · doi:10.3389/fsufs.2024.1542783

Editorial: Regulation of ovule and seed development

2025· editorial· en· W4406130984 on OpenAlexaff
Prakash Babu Adhikari, Raju Datla, Ryushiro D. Kasahara

Bibliographic record

VenueFrontiers in Sustainable Food Systems · 2025
Typeeditorial
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsGlobal Institute for Water SecurityUniversity of Saskatchewan
Fundersnot available
KeywordsOvuleBiologyBotanyPollen

Abstract

fetched live from OpenAlex

Current research topic delves into subjects ranging from fundamental mechanisms of reproductive biology to practical strategies for enhancing crop resilience under environmental stresses. Since seed-based traits are pivotal in maintaining and conferring biodiversity, insights into their development and adaptation are critical to cope with issues like climate change, food scarcity, and e;ective management of underutilized marginal lands.This focused issue presents four unique contributions, each o;ering insights into di;erent aspects of plant reproduction and seed-related traits. While some of these studies align directly with ovule and seed development, others provide complementary perspectives, broadening the narrative of the topic.Seed development via sexual reproduction essentially relies on the successful delivery of male gametes to fuse with egg cell residing in the embryo sac of female gametophyte. Hence, coordinated and precise development of male and female gametes is essential in the process. Here, Cui et al. discuss the molecular mechanisms behind microsporogenesis and micro-gametogenesis with references to recent relevant studies. The authors highlight the crucial role of auxin in defining archesporial cell specialization and the importance of premitotic microspore maturation and o;er prospects for future studies.The relevance of environmental stresses to seed development is explored by Erfatpour et al., who examined the impacts of climate change on reproductive success across crop species. By integrating evidence on the e;ects of temperature, drought, and salinity, they highlight the vulnerability of ovule and seed formation to abiotic stress. This work underscores the need for climate resilient crops and adaptive agricultural practices. Importantly, the authors also propose future research directions, such as identifying genetic pathways that can be harnessed for breeding stress-tolerant crop varieties.Expanding the focus to molecular mechanisms, Yan et al. investigate the HACD gene family in cotton (Gossypium hirsutum). Their study identifies GhHACD2 as a key regulator of very long-chain fatty acid biosynthesis, a trait that influences cottonseed oil content and quality. The authors, however, also observed its higher expression in the low oil-producing genotype at the critical oil accumulation phase of development as compared to that in the high oilproducing lines. They corroborated their observation with its heterologous expression in yeast and recorded a significant reduction in total oil content. This finding is first of its kind regarding the role of an HACD member in the regulation of cottonseed oil content.The study by Zhou et al. explores how karst-specific environmental stresses-drought, calcium salts, and pH variations-a;ect the germination and growth of alfalfa (Medicago sativa L.), an important forage crop of the Karst region. The study observed that the root systems of the seedlings are more sensitive to the assessed abiotic stresses. The findings made in the study o;er a reference for screening and selection of suitable plants to cultivate in the Karst region.Collectively, the four studies presented in the Research Topic focused on ovule and seed spanning from gametophyte development to seed germination. By addressing diverse aspects of ovule and seed biology, they contribute significantly to advancing this critical field. The insights presented here are expected to contribute future research directions in this important research field by integrating molecular biology, genetics, and applied agronomy to develop resilient crop systems.We are grateful to the authors and reviewers who contributed their expertise to this collection, enriching our understanding of the field relevant to ovule and seed development and its broader future prospects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.041
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.209
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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