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Genetic Parameters and the Impact of Off-Types for Theobroma cacao L. in a Breeding Program in Brazil

Overview of attention for article published in Frontiers in Plant Science, December 2017
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Title
Genetic Parameters and the Impact of Off-Types for Theobroma cacao L. in a Breeding Program in Brazil
Published in
Frontiers in Plant Science, December 2017
DOI 10.3389/fpls.2017.02059
Pubmed ID
Authors

Ashley DuVal, Salvador A. Gezan, Guiliana Mustiga, Conrad Stack, Jean-Philippe Marelli, José Chaparro, Donald Livingstone, Stefan Royaert, Juan C. Motamayor

Abstract

Breeding programs of cacao (Theobroma cacao L.) trees share the many challenges of breeding long-living perennial crops, and genetic progress is further constrained by both the limited understanding of the inheritance of complex traits and the prevalence of technical issues, such as mislabeled individuals (off-types). To better understand the genetic architecture of cacao, in this study, 13 years of phenotypic data collected from four progeny trials in Bahia, Brazil were analyzed jointly in a multisite analysis. Three separate analyses (multisite, single site with and without off-types) were performed to estimate genetic parameters from statistical models fitted on nine important agronomic traits (yield, seed index, pod index, % healthy pods, % pods infected with witches broom, % of pods other loss, vegetative brooms, diameter, and tree height). Genetic parameters were estimated along with variance components and heritabilities from the multisite analysis, and a trial was fingerprinted with low-density SNP markers to determine the impact of off-types on estimations. Heritabilities ranged from 0.37 to 0.64 for yield and its components and from 0.03 to 0.16 for disease resistance traits. A weighted index was used to make selections for clonal evaluation, and breeding values estimated for the parental selection and estimation of genetic gain. The impact of off-types to breeding progress in cacao was assessed for the first time. Even when present at <5% of the total population, off-types altered selections by 48%, and impacted heritability estimations for all nine of the traits analyzed, including a 41% difference in estimated heritability for yield. These results show that in a mixed model analysis, even a low level of pedigree error can significantly alter estimations of genetic parameters and selections in a breeding program.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 13%
Student > Ph. D. Student 9 11%
Student > Master 8 10%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Other 16 19%
Unknown 26 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 45%
Biochemistry, Genetics and Molecular Biology 6 7%
Social Sciences 3 4%
Computer Science 2 2%
Neuroscience 2 2%
Other 5 6%
Unknown 28 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2018.
All research outputs
#17,920,654
of 23,008,860 outputs
Outputs from Frontiers in Plant Science
#12,216
of 20,507 outputs
Outputs of similar age
#305,732
of 437,923 outputs
Outputs of similar age from Frontiers in Plant Science
#280
of 435 outputs
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