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Conventional breeding, marker-assisted selection, genomic selection and inbreeding in clonally propagated crops: a case study for cassava

Overview of attention for article published in Theoretical and Applied Genetics, June 2015
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 blog
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2 X users

Citations

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123 Dimensions

Readers on

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269 Mendeley
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1 CiteULike
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Title
Conventional breeding, marker-assisted selection, genomic selection and inbreeding in clonally propagated crops: a case study for cassava
Published in
Theoretical and Applied Genetics, June 2015
DOI 10.1007/s00122-015-2555-4
Pubmed ID
Authors

Hernán Ceballos, Robert S. Kawuki, Vernon E. Gracen, G. Craig Yencho, Clair H. Hershey

Abstract

Consolidates relevant molecular and phenotypic information on cassava to demonstrate relevance of heterosis, and alternatives to exploit it by integrating different tools. Ideas are useful to other asexually reproduced crops. Asexually propagated crops offer the advantage that all genetic effects can be exploited in farmers' production fields. However, non-additive effects complicate selection because, while influencing the performance of the materials under evaluation, they cannot be transmitted efficiently to the following cycle of selection. Cassava can be used as a model crop for asexually propagated crops because of its diploid nature and the absence of (known) incompatibility effects. New technologies such as genomic selection (GS), use of inbred progenitors based on doubled haploids and induction of flowering can be employed for accelerating genetic gains in cassava. Available information suggests that heterosis, non-additive genetic effects and within-family variation are relatively large for complex traits such as fresh root yield, moderate for dry matter or starch content in the roots, and low for defensive traits (pest and disease resistance) and plant architecture. The present article considers the potential impact of different technologies for maximizing gains for key traits in cassava, and highlights the advantages of integrating them. Exploiting heterosis would be optimized through the implementation of reciprocal recurrent selection. The advantages of using inbred progenitors would allow shifting the current cassava phenotypic recurrent selection method into line improvement, which in turn would allow designing outstanding hybrids rather than finding them by trial and error.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 2 <1%
Colombia 1 <1%
France 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
China 1 <1%
Unknown 262 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 18%
Researcher 48 18%
Student > Ph. D. Student 38 14%
Student > Doctoral Student 23 9%
Student > Bachelor 17 6%
Other 43 16%
Unknown 51 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 174 65%
Biochemistry, Genetics and Molecular Biology 19 7%
Engineering 4 1%
Business, Management and Accounting 4 1%
Environmental Science 3 1%
Other 11 4%
Unknown 54 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 March 2018.
All research outputs
#4,141,650
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#557
of 3,565 outputs
Outputs of similar age
#50,157
of 265,582 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 49 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 84% 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 265,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.