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Optimum breeding strategies using genomic selection for hybrid breeding in wheat, maize, rye, barley, rice and triticale

Overview of attention for article published in Theoretical and Applied Genetics, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Optimum breeding strategies using genomic selection for hybrid breeding in wheat, maize, rye, barley, rice and triticale
Published in
Theoretical and Applied Genetics, July 2016
DOI 10.1007/s00122-016-2748-5
Pubmed ID
Authors

Jose J. Marulanda, Xuefei Mi, Albrecht E. Melchinger, Jian-Long Xu, T. Würschum, C. Friedrich H. Longin

Abstract

A breeding strategy with moderate nursery selection followed by genomic selection and one-stage phenotypic selection maximizes annual selection gain for grain yield across a wide range of hybrid breeding scenarios. Genomic selection (GS) is a promising method for the selection of quantitatively inherited traits but its most effective implementation in routine hybrid breeding schemes requires further research. We compared five breeding strategies and varied their available budget, the costs for doubled haploid (DH) line and hybrid seed production as well as variance components for grain yield in a wide range. In contrast to previous studies, we included a nursery selection for disease resistance just before GS on grain yield. The breeding strategy GSrapid with moderate nursery selection followed by one stage GS and one final stage with phenotypic selection on grain yield had the highest annual selection gain across all strategies, budgets, costs and variance components considered and we, therefore, highly recommend its use in hybrid breeding of cereals. Although selecting on traits not correlated with grain yield in the observation nursery, this selection reduced the selection gain of grain yield, especially in the breeding schemes with GS and for selected fractions smaller than 0.3. Owing to the very high number of test candidates entering breeding strategies with GS, the costs for DH line production had a larger impact on the annual selection gain than the hybrid seed production costs. The optimum allocation of test resources maximizing annual selection gain in classical two-stage phenotypic selection on grain yield and for the recommended breeding strategy GSrapid is finally explored for maize, wheat, rye, barley, rice and triticale.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 1 <1%
Belgium 1 <1%
France 1 <1%
Unknown 184 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 24%
Researcher 42 22%
Student > Master 25 13%
Student > Doctoral Student 14 7%
Student > Postgraduate 10 5%
Other 26 14%
Unknown 29 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 131 69%
Biochemistry, Genetics and Molecular Biology 12 6%
Mathematics 2 1%
Arts and Humanities 1 <1%
Environmental Science 1 <1%
Other 7 4%
Unknown 37 19%
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 October 2016.
All research outputs
#4,697,817
of 25,373,627 outputs
Outputs from Theoretical and Applied Genetics
#645
of 3,797 outputs
Outputs of similar age
#77,767
of 371,013 outputs
Outputs of similar age from Theoretical and Applied Genetics
#14
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,797 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 371,013 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 79% of its contemporaries.
We're also able to compare this research output to 37 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 62% of its contemporaries.