ArticlePlant signaling & behavior2022
Genetic engineering: an efficient approach to mitigating biotic and abiotic stresses in sugarcane cultivation.
Article in Plant signaling & behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Sugarcane Breeding in the Genomic Era: Integrative Strategies and Emerging Technologies.Plants (Basel, Switzerland) · 2026Review
- Nano-enabled plant genetic engineering for stress resilience: current advances and future directions.Frontiers in plant science · 2026Review
- Initiating the commercialization of genetically modified staple crops in China: domestic biotechnological advancements, regulatory milestones, and governance frameworks.GM crops & food · 2025Review
- Identification of new genetic resources for drought tolerance-related traits from the worldFrontiers in plant science · 2025Article
- Enhancing quality and climate resilient traits in vegetatively propagated polyploids: transgenic and genome editing advancements, challenges and future directions.Frontiers in genetics · 2025Review
- Cullin-Conciliated Regulation of Plant Immune Responses: Implications for Sustainable Crop Protection.Plants (Basel, Switzerland) · 2024Review
- Genetic Engineering for Enhancing Sugarcane Tolerance to Biotic and Abiotic Stresses.Plants (Basel, Switzerland) · 2024Review
- Unlocking the role of silicon against biotic stress in plants.Frontiers in plant science · 2024Review
- Regulatory mechanisms of plant rhizobacteria on plants to the adaptation of adverse agroclimatic variables.Frontiers in plant science · 2024Review
- Variations in different preceding crops on the soil environment, bacterial community richness and diversity of tobacco-planting soil.Frontiers in microbiology · 2024Article
- CRISPR technology towards genome editing of the perennial and semi-perennial crops citrus, coffee and sugarcane.Frontiers in plant science · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abiotic stresses are the foremost limiting factors for crop productivity. Crop plants need to cope with adverse external pressure caused by various environmental conditions with their intrinsic biological mechanisms to keep their growth, development, and productivity. Climate-resilient, high-yielding crops need to be developed to maintain sustainable food supply. Over the last decade, understanding of the genetic complexity of agronomic traits in sugarcane has prompted the integrated application of genetic engineering to address specific biological questions. Genes for adaptation to environmental stress and yield enhancement traits are being determined and introgressed to develop elite sugarcane cultivars with improved characteristics through genetic engineering approaches. Here, we discuss the advancement to provide a reference for future sugarcane (
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.