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Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives

Overview of attention for article published in Molecular Plant, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
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11 X users
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1 patent
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2 Facebook pages
wikipedia
13 Wikipedia pages

Readers on

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665 Mendeley
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Article details
Title
Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives
Published in
Molecular Plant, June 2017
DOI 10.1016/j.molp.2017.06.008
Pubmed ID
Authors
Abstract

There is a rapidly rising trend in development and application of molecular marker assays for gene mapping and discovery in field crops and trees. Thus far more than 50 SNP arrays and 15 different types of genotyping-by-sequencing (GBS) platforms have been developed in more than 25 crop species and perennial trees. However, much less has been emphasized on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. We discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategy to develop targeted platforms for crop molecular breeding. The concept of true breeding platforms implies to automated genotyping technologies, either array- or sequencing-based, targeting functional polymorphisms underpinning economic traits, providing desirable prediction accuracy for quantitative traits, and have universal application across genetic backgrounds in a crop. The development of such platforms face serious challenges at both the technological level due to cost ineffectiveness, and at the knowledge level due to large genotype-phenotype gaps in crop plants. It is expected that such genotyping platforms can be achieved in next 10 years in major crops in consideration of, a) very rapid developments in gene discovery of important traits, b) understanding of quantitative traits through new analytical models and population designs, c) integrating multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and d) improvement in cost of genotyping large populations in parallel to improvement in cost of per data point. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate development of cultivars with the desired yield potential, quality and enhanced adaptation to mitigate the effects of climate change.

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X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 665 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 665 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 138 21%
Researcher 124 19%
Student > Master 79 12%
Student > Bachelor 32 5%
Student > Doctoral Student 26 4%
Other 92 14%
Unknown 174 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 351 53%
Biochemistry, Genetics and Molecular Biology 68 10%
Engineering 7 1%
Unspecified 5 <1%
Computer Science 4 <1%
Other 30 5%
Unknown 200 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 16 October 2026.
All research outputs
#2,157,708
of 34,196,186 outputs
Outputs from Molecular Plant
#198
of 2,375 outputs
Outputs of similar age
#31,538
of 362,162 outputs
Outputs of similar age from Molecular Plant
#5
of 22 outputs
Altmetric has tracked 34,196,186 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,375 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 91% 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 362,162 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.