ArticleMolecular biology international2015
Identification of Putative Molecular Markers Associated with Root Traits in Coffea canephora Pierre ex Froehner.
Article in Molecular biology international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genomic-assisted breeding for climate-smart coffee.The plant genome · 2024Article
- Root-Related Genes in Crops and Their Application under Drought Stress Resistance-A Review.International journal of molecular sciences · 2022Review
- Developing Novel Rice Genotypes Harboring Specific QTL Alleles Associated with High Grain Yield under Water Shortage Stress.Plants (Basel, Switzerland) · 2021Article
- Effectiveness of Single Nucleotide Polymorphism Markers in Genotyping Germplasm Collections ofFrontiers in plant science · 2020Article
- Marker-trait association for grain weight of spring barley in well-watered and drought environments.Molecular biology reports · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coffea canephora exhibit poor root system and are very sensitive to drought stress that affects growth and production. Deeper root system has been largely empirical as better avoidance to soil water limitation in drought condition. The present study aimed to identify molecular markers linked to high root types in Coffea canephora using molecular markers. Contrasting parents, L1 valley with low root and S.3334 with high root type, were crossed, and 134 F1 individuals were phenotyped for root and associated physiological traits (29 traits) and genotyped with 41 of the 320 RAPD and 9 of the 55 SSR polymorphic primers. Single marker analysis was deployed for detecting the association of markers linked to root associated traits by SAS software. There were 13 putative RAPD markers associated with root traits such as root length, secondary roots, root dry weight, and root to shoot ratio, in which root length associated marker OPS1850 showed high phenotypic variance of 6.86%. Two microsatellite markers linked to root length (CPCM13400) and root to shoot ratio (CM211300). Besides, 25 markers were associated with more than one trait and few of the markers were associated with positively related physiological traits and can be used in marker assisted trait selection.
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Registered trials
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