ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011
Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench].
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 56 citations in OpenAlex.
- Review
- Improvement of little millet (Panicum sumatrense) using novel omics platform and genetic resource integration.Planta · 2024Review
- Recent advancements in the breeding of sorghum crop: current status and future strategies for marker-assisted breeding.Frontiers in genetics · 2023Review
- Selection Signatures in Chinese Sorghum Reveals Its Unique Liquor-Making Properties.Frontiers in plant science · 2022Article
- Sorghum breeding in the genomic era: opportunities and challenges.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- QTL Mapping of Traits Associated with Dual Resistance to the African Stem Borer (International journal of genomics · 2021Article
- Introgression of Shoot Fly (Frontiers in plant science · 2017Article
- Quantitative genetic analysis of agronomic and morphological traits in sorghum, Sorghum bicolor.Frontiers in plant science · 2015Article
- Two distinct classes of QTL determine rust resistance in sorghum.BMC plant biology · 2014Article
- Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shoot fly is one of the most important pests affecting the sorghum production. The identification of quantitative trait loci (QTL) affecting shoot fly resistance enables to understand the underlying genetic mechanisms and genetic basis of complex interactions among the component traits. The aim of the present study was to detect QTL for shoot fly resistance and the associated traits using a population of 210 RILs of the cross 27B (susceptible) × IS2122 (resistant). RIL population was phenotyped in eight environments for shoot fly resistance (deadheart percentage), and in three environments for the component traits, such as glossiness, seedling vigor and trichome density. Linkage map was constructed with 149 marker loci comprising 127 genomic-microsatellite, 21 genic-microsatellite and one morphological marker. QTL analysis was performed by using MQM approach. 25 QTL (five each for leaf glossiness and seedling vigor, 10 for deadhearts, two for adaxial trichome density and three for abaxial trichome density) were detected in individual and across environments. The LOD and R (2) (%) values of QTL ranged from 2.44 to 24.1 and 4.3 to 44.1%, respectively. For most of the QTLs, the resistant parent, IS2122 contributed alleles for resistance; while at two QTL regions, the susceptible parent 27B also contributed for resistance traits. Three genomic regions affected multiple traits, suggesting the phenomenon of pleiotrophy or tight linkage. Stable QTL were identified for the traits across different environments, and genetic backgrounds by comparing the QTL in the study with previously reported QTL in sorghum. For majority of the QTLs, possible candidate genes were identified. The QTLs identified will enable marker assisted breeding for shoot fly resistance in sorghum.
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