Research Article

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10/24/2016
Astyanax altiparanae; Geophagus brasiliensis; Microsatellite; RAPD; South America

Streams are very important environments for Neotropical freshwater fish fauna, and possess a high number of species. These small drainages are also highlighted by their intrinsic biological and physicochemical features; however, knowledge on the genetic distribution of fish in these drainages is limited. Therefore, in the present study ... more

D.G. Ferreira; S.C. Lima; W. Frantine-Silva; J.F. Silva; C. Apolinário-Silva; S.H. Sofia; S. Carvalho; B.A. Galindo; D.G. Ferreira; S.C. Lima; W. Frantine-Silva; J.F. Silva; C. Apolinário-Silva; S.H. Sofia; S. Carvalho; B.A. Galindo
10/24/2016
Genetic diversity; Geographic populations; Microsatellite; Thais luteostoma

In this study, the genetic diversity in four geographic populations (Yushan Island, Zhoushan, Wenzhou, and Xiamen) of Thais luteostoma was analyzed using 21 microsatellite loci. The results of this study showed that the alleles obtained from different populations ranged from 2 to 8. The average number of alleles and effective alleles were 4.59 and 3.16, ... more

W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao; W. Li; H.F. Jiao; Z.H. Lin; Y.B. Bao
12/15/2017
Genetic diversity; genetic relationships; Microsatellite; Olea europaea; South-Eastern Tunisia
Tunisia is one of the most important olive growing
countries in the Mediterranean basin and it is classified in fourth rank on
world scale in terms of olive oil production. Since the emergence of the
modern oliviculture, the identification, the evaluation and conservation
of the local genetic resources have been considered as a priority in
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M. Ben Mohamed; S. Zelasco; S. Ben Ali; F. Guasmi; T. Triki; F.L. Conforti; K. Naziha
12/29/2017
Martes flavigula; Microsatellite; Next-generation sequencing; Population genetics

The yellow-throated marten (Martes flavigula Boddaert 1785) is a medium-sized carnivore and a top predator in South Korea that is distributed throughout Western and Southeast Asia and Siberia in a wide range of habitats. In this study, we developed a panel of polymorphic microsatellite markers for M. flavigula by Illumina next-generation sequencing for ... more

M.Yeong Lee; H.Chang Moon; H.Sook Jeon; E.Geun Song; D. Woo; H.B. Park; T.Young Choi; K.Yeon Eo; Y. Hyun; K. Lee; Y.Seok Park; J.Young Moon; H.Jin Han; J. An
02/12/2018
Microsatellite; Monopterus albus; Polymorphic marker; RAD-seq

Monopterus albus is a special economic aquatic animal in China. Most of cultured M. albus are wild species captured from different areas, and this makes the wild resources of M. albus are under great threat. Microsatellite markers can help us understand the genetic resources of M. albus in different areas. In this study, using RAD-seq (restriction site associated ... more

F. Zhang; Y. Wang; M. Xu; L. Wei; Q. Zhong
12/31/2019
Genetic diversity; Germplasm; Lima bean; Microsatellite; Phaseolus lunatus; Structure

The lima bean (Phaseolus lunatus) has been cultivated in Brazil since pre-colonization times and remains an important source of food and income for small farmers. Nevertheless, the species has not been extensively studied in this country. We assessed the genetic diversity of 183 lima bean landraces collected from different regions of Brazil, maintained by ... more

R.N.O. Silva; A.C.A. Lopes; R.L.F. Gomes; J.G. Pádua; M.L. Burle
08/14/2015
broiler; Genetic correlation; Gibbs sampling; Heritability; Liver fat trait; Restricted maximum likelihood

Intensive selection of broilers for improved growth rate is known to exert a negative effect on broiler health, such as an increase in body fat (and its related diseases). Excessive fat deposition in the liver can cause fatty liver hemorrhagic syndrome (FLHS); in addition, traits associated with liver fat have also been associated with FLHS. This study explored the genetic relationships ... more

M.J. Liang; Z.P. Wang; L. Xu; L. Leng; S.Z. Wang; P. Luan; Z.P. Cao; Y.M. Li; H. Li
12/29/2015
Dairy cattle; Genetic correlation; Heritability; Random regression; Somatic cell count

Selection for lower somatic cell count has been included in the breeding objectives of several countries in order to increase resistance to mastitis. Genetic parameters of somatic cell scores (SCS) were estimated from the first lactation test day records of Brazilian Holstein cows using random-regression models with Legendre polynomials (LP) of the order 3-5. Data consisted of 87,711 TD ... more

C.N. Costa; G.G. Santos; J.A. Cobuci; G. Thompson; J.G.V. Carvalheira
12/22/2015
Brassica napus; Correlation coefficients; Gene action; Heritability; Quality traits

A study on three leading lines (KN-256, KN-257, and KN-258) of Brassica napus and an approved variety, Punjab-Sarson, was conducted to gain insight into the genetic control of some quality traits using generation mean analysis. Our results showed that additive gene action predominated in the inheritance of oil content and erucic acid in cross KN-256 x KN-257 and in that of ... more

S. Ahmad; H.A. Sadaqat; M.H.N. Tahir; F.S. Awan
10/28/2015
General and specific combining ability; Genotypic correlations; Heritability; Principal component analysis; Zea mays L.

Fifty-four genotypes of maize were crossed and evaluated in the field during the crop season in February 2012 under both normal and water stress conditions. To identify the major parameters responsible for variation among genotypes, single linkage cluster analysis and principle component analysis (PCA) were carried out. Thirteen characters were studied. The PCA showed that the first six ... more

R.W. Muhammad; A. Qayyum; A. Hamza; M.Q. Ahmad; N.S. Naseer; S. Liaqat; B. Ahmad; W. Malik; E. Noor

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