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Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses

Overview of attention for article published in Frontiers in Plant Science, July 2017
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Title
Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01317
Pubmed ID
Authors

Shyamal K. Talukder, Malay C. Saha

Abstract

Most important food and feed crops in the world belong to the C3 grass family. The future of food security is highly reliant on achieving genetic gains of those grasses. Conventional breeding methods have already reached a plateau for improving major crops. Genomics tools and resources have opened an avenue to explore genome-wide variability and make use of the variation for enhancing genetic gains in breeding programs. Major C3 annual cereal breeding programs are well equipped with genomic tools; however, genomic research of C3 cool-season perennial grasses is lagging behind. In this review, we discuss the currently available genomics tools and approaches useful for C3 cool-season perennial grass breeding. Along with a general review, we emphasize the discussion focusing on forage grasses that were considered orphan and have little or no genetic information available. Transcriptome sequencing and genotype-by-sequencing technology for genome-wide marker detection using next-generation sequencing (NGS) are very promising as genomics tools. Most C3 cool-season perennial grass members have no prior genetic information; thus NGS technology will enhance collinear study with other C3 model grasses like Brachypodium and rice. Transcriptomics data can be used for identification of functional genes and molecular markers, i.e., polymorphism markers and simple sequence repeats (SSRs). Genome-wide association study with NGS-based markers will facilitate marker identification for marker-assisted selection. With limited genetic information, genomic selection holds great promise to breeders for attaining maximum genetic gain of the cool-season C3 perennial grasses. Application of all these tools can ensure better genetic gains, reduce length of selection cycles, and facilitate cultivar development to meet the future demand for food and fodder.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 28%
Student > Ph. D. Student 8 19%
Student > Doctoral Student 5 12%
Student > Master 4 9%
Student > Bachelor 2 5%
Other 4 9%
Unknown 8 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 56%
Biochemistry, Genetics and Molecular Biology 3 7%
Environmental Science 2 5%
Nursing and Health Professions 1 2%
Business, Management and Accounting 1 2%
Other 2 5%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 August 2017.
All research outputs
#13,213,970
of 22,997,544 outputs
Outputs from Frontiers in Plant Science
#5,931
of 20,481 outputs
Outputs of similar age
#154,106
of 317,090 outputs
Outputs of similar age from Frontiers in Plant Science
#175
of 512 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,481 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 317,090 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 50% of its contemporaries.
We're also able to compare this research output to 512 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.