ArticleFrontiers in plant science2020
Accurate Prediction of a Quantitative Trait Using the Genes Controlling the Trait for Gene-Based Breeding in Cotton.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
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Who cites it
8 citing papers in PubMed.
- Heatmap clustering and performance analysis of cotton genotypes in response to environmental conditions.Scientific reports · 2025Article
- Residual networks without pooling layers improve the accuracy of genomic predictions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Leveraging transcriptomics-based approaches to enhance genomic prediction: integrating SNPs and gene networks for cotton fibre quality improvement.Frontiers in plant science · 2024Article
- Genetic and molecular dissection of ginseng (Frontiers in plant science · 2023Article
- Genomic prediction of cotton fibre quality and yield traits using Bayesian regression methods.Heredity · 2022Article
- Outlook for Implementation of Genomics-Based Selection in Public Cotton Breeding Programs.Plants (Basel, Switzerland) · 2022Article
- Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.Horticulture research · 2022Article
- Cotton Breeding in Australia: Meeting the Challenges of the 21st Century.Frontiers in plant science · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate phenotype prediction of quantitative traits is paramount to enhanced plant research and breeding. Here, we report the accurate prediction of cotton fiber length, a typical quantitative trait, using 474 cotton (
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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.