ArticleMolecular biology reports2022
Integrating speed breeding with artificial intelligence for developing climate-smart crops.
Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Gibberellic acid modulates drought stress signaling, antioxidant defense, and ionic homeostasis in spinach.Plant signaling & behavior · 2026Article
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- Genetic Advances inPlants (Basel, Switzerland) · 2026Review
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Sprayable dsRNA for integrated crop defense: mechanisms, delivery strategies, and translational challenges.Molecular biology reports · 2026Review
- Precision breeding in a changing climate: unlocking resilience through omics and gene editing.Functional & integrative genomics · 2026Review
- Speed breeding enhances crop resilience and productivity in a changing climate.Molecular breeding : new strategies in plant improvement · 2025Review
- Microorganisms as Potential Accelerators of Speed Breeding: Mechanisms and Knowledge Gaps.Plants (Basel, Switzerland) · 2025Review
- Combining biotechnology with sustainability: feasibility of bioenergy sorghum in generating high-value bioproducts.Biotechnology letters · 2025Review
- Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Transformative strategies for saline soil restoration: Harnessing halotolerant microorganisms and advanced technologies.World journal of microbiology & biotechnology · 2025Review
- Can the molecular and transgenic breeding of crops be an alternative and sustainable technology to meet food demand?Functional & integrative genomics · 2025Review
- Speed breeding advancements in safflower (Molecular breeding : new strategies in plant improvement · 2025Article
- Omics-Driven Strategies for Developing Saline-Smart Lentils: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Current status of molecular rice breeding for durable and broad-spectrum resistance to major diseases and insect pests.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Review
- Hybrid Rice Production: A Worldwide Review of Floral Traits and Breeding Technology, with Special Emphasis on China.Plants (Basel, Switzerland) · 2024Review
- Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals.Genes · 2023Review
- Review
- Flowering in sugarcane-insights from the grasses.3 Biotech · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn climate change, breeding crop plants with improved productivity, sustainability, and adaptability has become a daunting challenge to ensure global food security for the ever-growing global population. Correspondingly, climate-smart crops are also the need to regulate biomass production, which is imperative for the maintenance of ecosystem services worldwide. Since conventional breeding technologies for crop improvement are limited, time-consuming, and involve laborious selection processes to foster new and improved crop varieties. An urgent need is to accelerate the plant breeding cycle using artificial intelligence (AI) to depict plant responses to environmental perturbations in real-time. MATERIALS AND
methodsThe review is a collection of authorized information from various sources such as journals, books, book chapters, technical bulletins, conference papers, and verified online contents.
conclusionsSpeed breeding has emerged as an essential strategy for accelerating the breeding cycles of crop plants by growing them under artificial light and temperature conditions. Furthermore, speed breeding can also integrate marker-assisted selection and cutting-edged gene-editing tools for early selection and manipulation of essential crops with superior agronomic traits. Scientists have recently applied next-generation AI to delve deeper into the complex biological and molecular mechanisms that govern plant functions under environmental cues. In addition, AIs can integrate, assimilate, and analyze complex OMICS data sets, an essential prerequisite for successful speed breeding protocol implementation to breed crop plants with superior yield and adaptability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.