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QTL Mapping for Pest and Disease Resistance in Cassava and Coincidence of Some QTL with Introgression Regions Derived from Manihot glaziovii

Overview of attention for article published in Frontiers in Plant Science, July 2017
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
QTL Mapping for Pest and Disease Resistance in Cassava and Coincidence of Some QTL with Introgression Regions Derived from Manihot glaziovii
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01168
Pubmed ID
Authors

Inosters Nzuki, Manpreet S. Katari, Jessen V. Bredeson, Esther Masumba, Fortunus Kapinga, Kasele Salum, Geoffrey S. Mkamilo, Trushar Shah, Jessica B. Lyons, Daniel S. Rokhsar, Steve Rounsley, Alexander A. Myburg, Morag E. Ferguson

Abstract

Genetic mapping of quantitative trait loci (QTL) for resistance to cassava brown streak disease (CBSD), cassava mosaic disease (CMD), and cassava green mite (CGM) was performed using an F1 cross developed between the Tanzanian landrace, Kiroba, and a breeding line, AR37-80. The population was evaluated for two consecutive years in two sites in Tanzania. A genetic linkage map was derived from 106 F1 progeny and 1,974 SNP markers and spanned 18 chromosomes covering a distance of 1,698 cM. Fifteen significant QTL were identified; two are associated with CBSD root necrosis only, and were detected on chromosomes V and XII, while seven were associated with CBSD foliar symptoms only and were detected on chromosomes IV, VI, XVII, and XVIII. QTL on chromosomes 11 and 15 were associated with both CBSD foliar and root necrosis symptoms. Two QTL were found to be associated with CMD and were detected on chromosomes XII and XIV, while two were associated with CGM and were identified on chromosomes V and X. There are large Manihot glaziovii introgression regions in Kiroba on chromosomes I, XVII, and XVIII. The introgression segments on chromosomes XVII and XVIII overlap with QTL associated with CBSD foliar symptoms. The introgression region on chromosome I is of a different haplotype to the characteristic "Amani haplotype" found in the landrace Namikonga and others, and unlike some other genotypes, Kiroba does not have a large introgression block on chromosome IV. Kiroba is closely related to a sampled Tanzanian "tree cassava." This supports the observation that some of the QTL associated with CBSD resistance in Kiroba are different to those observed in another variety, Namikonga.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Ph. D. Student 15 17%
Student > Master 14 16%
Other 8 9%
Student > Doctoral Student 7 8%
Other 6 7%
Unknown 24 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 52%
Biochemistry, Genetics and Molecular Biology 7 8%
Medicine and Dentistry 3 3%
Earth and Planetary Sciences 2 2%
Nursing and Health Professions 1 1%
Other 7 8%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2023.
All research outputs
#6,410,972
of 24,336,902 outputs
Outputs from Frontiers in Plant Science
#3,341
of 22,886 outputs
Outputs of similar age
#95,667
of 318,022 outputs
Outputs of similar age from Frontiers in Plant Science
#89
of 525 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 22,886 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,022 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 525 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.