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Marker-assisted selection strategy to pyramid two or more QTLs for quantitative trait-grain yield under drought

Overview of attention for article published in Rice, May 2018
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  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
Marker-assisted selection strategy to pyramid two or more QTLs for quantitative trait-grain yield under drought
Published in
Rice, May 2018
DOI 10.1186/s12284-018-0227-0
Pubmed ID
Authors

Arvind Kumar, Nitika Sandhu, Shalabh Dixit, Shailesh Yadav, B. P. M. Swamy, Noraziyah Abd Aziz Shamsudin

Abstract

Marker-assisted breeding will move forward from introgressing single/multiple genes governing a single trait to multiple genes governing multiple traits to combat emerging biotic and abiotic stresses related to climate change and to enhance rice productivity. MAS will need to address concerns about the population size needed to introgress together more than two genes/QTLs. In the present study, grain yield and genotypic data from different generations (F3 to F8) for five marker-assisted breeding programs were analyzed to understand the effectiveness of synergistic effect of phenotyping and genotyping in early generations on selection of better progenies. Based on class analysis of the QTL combinations, the identified superior QTL classes in F3/BC1F3/BC2F3 generations with positive QTL x QTL and QTL x background interactions that were captured through phenotyping maintained its superiority in yield under non-stress (NS) and reproductive-stage drought stress (RS) across advanced generations in all five studies. The marker-assisted selection breeding strategy combining both genotyping and phenotyping in early generation significantly reduced the number of genotypes to be carried forward. The strategy presented in this study providing genotyping and phenotyping cost savings of 25-68% compared with the traditional marker-assisted selection approach. The QTL classes, Sub1 + qDTY 1.1  + qDTY 2.1  + qDTY 3.1 and Sub1 + qDTY 2.1  + qDTY 3.1 in Swarna-Sub1, Sub1 + qDTY 1.1  + qDTY 1.2 , Sub1 + qDTY 1.1  + qDTY 2.2 and Sub1 + qDTY 2.2  + qDTY 12.1 in IR64-Sub1, qDTY 2.2  + qDTY 4.1 in Samba Mahsuri, Sub1 + qDTY 3.1  + qDTY 6.1  + qDTY 6.2 and Sub1 + qDTY 6.1  + qDTY 6.2 in TDK1-Sub1 and qDTY 12.1  + qDTY 3.1 and qDTY 2.2  + qDTY 3.1 in MR219 had shown better and consistent performance under NS and RS across generations over other QTL classes. "Deployment of this procedure will save time and resources and will allow breeders to focus and advance only germplasm with high probability of improved performance. The identification of superior QTL classes and capture of positive QTL x QTL and QTL x background interactions in early generation and their consistent performance in subsequent generations across five backgrounds supports the efficacy of a combined MAS breeding strategy".

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Researcher 12 13%
Student > Bachelor 8 9%
Student > Doctoral Student 6 6%
Professor 4 4%
Other 16 17%
Unknown 28 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 51%
Biochemistry, Genetics and Molecular Biology 8 9%
Medicine and Dentistry 3 3%
Social Sciences 2 2%
Nursing and Health Professions 1 1%
Other 2 2%
Unknown 30 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 May 2018.
All research outputs
#7,467,391
of 23,081,466 outputs
Outputs from Rice
#91
of 391 outputs
Outputs of similar age
#129,588
of 331,240 outputs
Outputs of similar age from Rice
#1
of 10 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 391 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 76% 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 331,240 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 60% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them