Evidence map›Paper›PMID 27007902›Full record

ArticleGenetics and molecular biology2016

Assessment of genetic diversity in Brazilian barley using SSR markers.

Jéssica Rosset Ferreira, Jorge Fernando Pereira, Caroline Turchetto, Euclydes Minella, Luciano Consoli, Carla Andréa Delatorre

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Article in Genetics and molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jéssica Rosset FerreiraDepartamento de Plantas de Lavoura, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Jorge Fernando PereiraEmbrapa Trigo, Passo Fundo, RS, Brazil.
Caroline TurchettoEmbrapa Trigo, Passo Fundo, RS, Brazil.
Euclydes MinellaEmbrapa Trigo, Passo Fundo, RS, Brazil.
Luciano ConsoliEmbrapa Trigo, Passo Fundo, RS, Brazil.
Carla Andréa DelatorreDepartamento de Plantas de Lavoura, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barley is a major cereal grown widely and used in several food products, beverage production and animal fodder. Genetic diversity is a key component in breeding programs. We have analyzed the genetic diversity of barley accessions using microsatellite markers. The accessions were composed of wild and domesticated barley representing genotypes from six countries and three breeding programs in Brazil. A total of 280 alleles were detected, 36 unique to Brazilian barley. The marker Bmag120 showed the greatest polymorphism information content (PIC), with the highest mean value found on chromosome three, and the lowest on chromosomes four and six. The wild accessions presented the highest diversity followed by the foreign genotypes. Genetic analysis was performed using Principal Coordinates Analysis, UPGMA clustering, and Bayesian clustering analysis implemented in Structure. All results obtained by the different methods were similar. Loss of genetic diversity has occurred in Brazilian genotypes. The number of alleles detected in genotypes released in 1980s was higher, whereas most of the cultivars released thereafter showed lower PIC and clustered in separate subgroups from the older cultivars. The use of a more diverse panel of genotypes should be considered in order to exploit novel alleles in Brazilian barley breeding programs.

Identifiers

PMID27007902
PMCPMC4807376

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