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Exploiting Wild Relatives for Genomics-assisted Breeding of Perennial Crops

Overview of attention for article published in Frontiers in Plant Science, April 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Exploiting Wild Relatives for Genomics-assisted Breeding of Perennial Crops
Published in
Frontiers in Plant Science, April 2017
DOI 10.3389/fpls.2017.00460
Pubmed ID
Authors

Zoë Migicovsky, Sean Myles

Abstract

Perennial crops are vital contributors to global food production and nutrition. However, the breeding of new perennial crops is an expensive and time-consuming process due to the large size and lengthy juvenile phase of many species. Genomics provides a valuable tool for improving the efficiency of breeding by allowing progeny possessing a trait of interest to be selected at the seed or seedling stage through marker-assisted selection (MAS). The benefits of MAS to a breeder are greatest when the targeted species takes a long time to reach maturity and is expensive to grow and maintain. Thus, MAS holds particular promise in perennials since they are often costly and time-consuming to grow to maturity and evaluate. Well-characterized germplasm that breeders can tap into for improving perennials is often limited in genetic diversity. Wild relatives are a largely untapped source of desirable traits including disease resistance, fruit quality, and rootstock characteristics. This review focuses on the use of genomics-assisted breeding in perennials, especially as it relates to the introgression of useful traits from wild relatives. The identification of genetic markers predictive of beneficial phenotypes derived from wild relatives is hampered by genomic tools designed for domesticated species that are often ill-suited for use in wild relatives. There is therefore an urgent need for better genomic resources from wild relatives. A further barrier to exploiting wild diversity through genomics is the phenotyping bottleneck: well-powered genetic mapping requires accurate and cost-effective characterization of large collections of diverse wild germplasm. While genomics will always be used in combination with traditional breeding methods, it is a powerful tool for accelerating the speed and reducing the costs of breeding while harvesting the potential of wild relatives for improving perennial crops.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Netherlands 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Researcher 20 16%
Student > Master 14 11%
Student > Bachelor 10 8%
Other 10 8%
Other 18 14%
Unknown 30 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 50%
Biochemistry, Genetics and Molecular Biology 16 13%
Engineering 3 2%
Environmental Science 3 2%
Nursing and Health Professions 1 <1%
Other 6 5%
Unknown 35 27%
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 16 November 2021.
All research outputs
#6,457,296
of 23,578,918 outputs
Outputs from Frontiers in Plant Science
#3,552
of 21,663 outputs
Outputs of similar age
#101,582
of 309,835 outputs
Outputs of similar age from Frontiers in Plant Science
#97
of 552 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 21,663 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 309,835 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 67% of its contemporaries.
We're also able to compare this research output to 552 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.