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Marker‐assisted introgression of broad‐spectrum blast resistance genes into the cultivated MR219 rice variety

Overview of attention for article published in Journal of the Science of Food and Agriculture, November 2016
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Title
Marker‐assisted introgression of broad‐spectrum blast resistance genes into the cultivated MR219 rice variety
Published in
Journal of the Science of Food and Agriculture, November 2016
DOI 10.1002/jsfa.8109
Pubmed ID
Authors

Gous Miah, Mohd Y Rafii, Mohd R Ismail, Adam B Puteh, Harun A Rahim, Mohammad A Latif

Abstract

The rice cultivar MR219 is famous for its better yield and long and fine grain quality; however, it is susceptible to blast disease. The main objective of this study was to introgress blast resistance genes into MR219 through marker-assisted selection (MAS). The rice cultivar MR219 was used as the recurrent parent, and Pongsu Seribu 1 was used as the donor. Marker-assisted foreground selection was performed using RM6836 and RM8225 to identify plants possessing blast resistance genes. Seventy microsatellite markers were used to estimate recurrent parent genome (RPG) recovery. Our analysis led to the development of thirteen improved blast resistant lines with Piz, Pi2 and Pi9 broad-spectrum blast resistance genes and an MR219 genetic background. The RPG recovery of the selected improved lines was up to 97.70% with an average value of 95.98%. Selected improved lines showed a resistance response against the most virulent blast pathogen pathotype P7.2. The selected improved lines did not express any negative effect on agronomic traits in comparison with MR219. The research findings of this study will be a conducive approach for the application of different molecular techniques that may result in accelerating the development of new disease resistant rice varieties, which in turn, will match the rising demand and food security worldwide.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Bachelor 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Other 5 16%
Unknown 13 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 38%
Biochemistry, Genetics and Molecular Biology 3 9%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 14 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 November 2016.
All research outputs
#22,029,081
of 24,577,646 outputs
Outputs from Journal of the Science of Food and Agriculture
#3,646
of 4,525 outputs
Outputs of similar age
#361,319
of 426,457 outputs
Outputs of similar age from Journal of the Science of Food and Agriculture
#31
of 43 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,525 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.