ArticleThe plant genome2020
Quantitative trait loci-based genomics-assisted prediction for the degree of apple fruit cover color.
Article in The plant genome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Natural variations in MdBPM2/MdRGLG3-MdNAC83 network controlling the quantitative segregation of apple fruit storability.Journal of integrative plant biology · 2026Article
- Phenotypic Characters and Inheritance Tendency of Agronomic Traits in F1 Progeny of Pear.Plants (Basel, Switzerland) · 2025Article
- Genomewide selection for fruit quality traits in apple: breeding insights gained from prediction and postdiction.Horticulture research · 2023Article
- Editorial: Physiological and molecular basis of fruit ripening and development and its application for quality improvement.Frontiers in plant science · 2023Article
- A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple.Journal of advanced research · 2022Article
- A single QTL harboring multiple genetic variations leads to complicated phenotypic segregation in apple flesh firmness and crispness.Plant cell reports · 2022Article
- Root Breeding in the Post-Genomics Era: From Concept to Practice in Apple.Plants (Basel, Switzerland) · 2022Review
- Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction.BMC plant biology · 2022Article
- Research Progress on Genetic Basis of Fruit Quality Traits in Apple (Frontiers in plant science · 2022Review
- Continuous Mapping Identifies Loci Associated With Weevil Resistance [Frontiers in plant science · 2021Article
- Intricate genetic variation networks control the adventitious root growth angle in apple.BMC genomics · 2020Article
- Quantitative trait loci-based genomics-assisted prediction for the degree of apple fruit cover color.The plant genome · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Apple fruit cover color is an important appearance trait determining fruit quality, high degree of fruit cover color or completely red fruit skin is also the ultimate breeding goal. MdMYB1 has repeatedly been reported as a major gene controlling apple fruit cover color. There are also multiple minor-effect genes affecting degree of fruit cover color (DFC). This study was to identify genome-wide quantitative trait loci (QTLs) and to develop genomics-assisted prediction for apple DFC. The DFC phenotype data of 9,422 hybrids from five full-sib families of Malus asiatica 'Zisai Pearl', M. domestica 'Red Fuji', 'Golden Delicious', and 'Jonathan' were collected in 2014-2017. The phenotype varied considerably among hybrids with the same MdMYB1 genotype. Ten QTLs for DFC were identified using MapQTL and bulked segregant analysis via sequencing. From these QTLs, ten candidate genes were predicted, including MdMYB1 from a year-stable QTL on chromosome 9 of 'Zisai Pearl' and 'Red Fuji'. Then, kompetitive allele-specific polymerase chain reaction (KASP) markers were designed on these candidate genes and 821 randomly selected hybrids were genotyped. The genotype effects of the markers were estimated. MdMYB1-1 (represented by marker H162) exhibited a partial dominant allelic effect on MdMYB1-2 and showed non-allelic epistasis on markers H1245 and G6. Finally, a non-additive QTL-based genomics assisted prediction model was established for DFC. The Pearson's correlation coefficient between the genomic predicted value and the observed phenotype value was 0.5690. These results can be beneficial for apple genomics-assisted breeding and may provide insights for understanding the mechanism of fruit coloration.
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.