Association between relationship measures based on AFLP markers, pedigree data and morphological traits in barley

Schut, J. W.; Qi, Xiaoquan; Stam, P.

doi:10.1007/s001220050677

Cited by 154 publications

(108 citation statements)

References 21 publications

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“…Similar results were also found in oats by MOSER and LEE (1994) which observed a correlation of -0.05 between the dg (RFLP) and dm. Several reasons for this lack of correlation could include: the limited number of traits observed, the limited variation for these traits, the number of underlying genes for these traits, which may also be limited, and possible epistatic interactions between these genes (SCHUT et al, 1997).…”

Section: Resultsmentioning

confidence: 99%

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

et al. 2008

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The use of different genetic dissimilarity indicators can help in both the selection of crop improvement strategies and as artificial crosses. The objectives of this work were to estimate the genetic dissimilarity among seven oat genotypes (Avena sativa L.) through molecular (dg) and morphological (dm) markers. Data were obtained from two experiments carried out in Capão do Leão County, RS, Brazil, in 2000. The estimated correlation coefficient (r = 0.33) indicated a low association between dg and dm estimates. The genotypes with similar pedigrees (UPF 16 and UPF 17), with a bootstrapping value of 82.7%, performed the most consistent group (dg) and clustered more closely in both techniques (dg and dm). However, genotypes with similar pedigree clustered in distant groups. Both dissimilarity estimates need to be used in order to obtain a more reliable choice of dissimilar parents, with higher probability of developing promising base populations.

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Section: Resultsmentioning

confidence: 99%

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

et al. 2008

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“…Well-distributed markers per chromosome should be used, as the accuracy of genetic distance depends on the number and distribution of markers on the genome [42]. For the purpose of measuring genetic distance, 20 well-spread markers per chromosome are probably sufficient [43].…”

Section: Discussionmentioning

confidence: 99%

Analyses Using SSR and DArT Molecular Markers Reveal that Ethiopian Accessions of White Lupin (<i>Lupinus albus</i> L.) Represent a Unique Genepool

Raman¹,

Cowley²,

Raman³

et al. 2014

OJGen

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PCR-based genic and microarray-based Diversity Arrays Technology (DArT™) markers were used to determine genetic diversity in 94 accessions of white lupin (Lupinus albus L.) comprising Australian and foreign cultivars, landraces, and advanced breeding lines from Australian breeding programs. A total of 345 (50 PCR-based and 295 DArT-based) polymorphic fragments were identified, which were used to determine the genetic diversity among accessions. Both cluster analysis of bivariate marker data using UPGMA, and principal coordinate analysis, indicated a high level of genetic diversity in the germplasm. Our results showed that both types of markers used in this study are suitable for estimation of genetic diversity. Landrace accessions from Ethiopia formed a very distinct and separate grouping with both marker systems. Australian cultivars and breeding lines were clustered together and tended to be distinct from European landraces. These findings will allow breeders to select appropriate, diverse parents to broaden the genetic base of white lupin breeding populations.

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“…DNA markers have the advantage of directly detecting sequence variation among genotypes and therefore the ability to bypass the assumptions that are inherent to pedigree analysis. DNA markers may be affected by the number of markers analysed, their distribution over the genome and the accuracy in scoring the marker (Schut et al 1997). Finally, incongruities can result from the clustering process whenever clusters are non-overlapping due to which a genotype that is related to two other genotypes from separate clusters will only be grouped with the one to which it is most closely related.…”

Section: Discussionmentioning

confidence: 99%

Inter Simple Sequence Repeat (ISSR) markers to assess genetic diversity and relatedness within strawberry genotypes

Debnath¹,

Khanizadeh²,

Jamieson³

et al. 2008

Can. J. Plant Sci.

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markers to assess genetic diversity and relatedness within strawberry genotypes. Can. J. Plant Sci. 88: 313Á322. The goal of this study was to determine the level of genetic diversity and relatedness among 16 strawberry (Fragaria)ananassa Duch.) cultivars and 11 breeding lines developed in Canada, using Inter Simple Sequence Repeat (ISSR) markers. Seventeen primers generated 225 polymorphic ISSR-PCR bands. Cluster analysis by the unweighted pair-group method with arithmetic averages (UPGMA) revealed a substantial degree of genetic similarity among the genotypes ranging from 63 to 77% that were in agreement with the principal coordinate (PCO) analysis. Geographical distribution for the place of breeding program explained only 1.4% of total variation as revealed by analysis of molecular variance (AMOVA). The ISSR markers detected a sufficient degree of polymorphism to differentiate among strawberry genotypes, making this technology valuable for cultivar identification and for the more efficient choice of parents in current strawberry breeding programs.Key words: Fragaria)ananassa, DNA fingerprinting, multivariate analysis, breeding, genetic similarity Debnath, S. C., Khanizadeh, S., Jamieson, A. R. and Kempler, C. 2008. É valuation de la diversite´et des liens ge´ne´tiques des ge´notypes de fraisier au moyen de marqueurs inter-microsatellitaires (ISSR). Can. J. Plant Sci. 88: 313Á322. L'e´tude devait e´tablir l'importance de la diversite´et des liens ge´ne´tiques entre 16 cultivars et souches ge´ne´alogiques de fraisier (FragariaÁ ananassa Duch.) cre´e´s au Canada graˆce a`des marqueurs ISSR (Inter Simple Sequence Repeat, fragments intermicrosatellitaires). Dix-sept amorces ont produit 225 bandes polymorphes ISSR-PCR. L'analyse des grappes par la me´thode des groupes-paires non ponde´re´s avec moyenne arithme´tique (UPGMA) re´ve`le une importante similitude ge´ne´tique entre les ge´notypes (de 63 % a`77 %), ce qui concorde avec les re´sultats de l'analyse en composantes principales (PCO). La re´partition ge´ographique des emplacements du programme d'ame´lioration n'explique que 1,4 % de la variation globale, ainsi que l'indique l'analyse de la variance mole´culaire (AMOVA). Les marqueurs ISSR de´tectent un degreś uffisant de polymorphisme pour qu'on puisse diffe´rencier le ge´notype des fraisiers, d'ou`l'utilite´de la technologie pour identifier les cultivars et permettre un meilleur choix des ligne´es parentales dans les programmes actuels d'hybridation du fraisier.Mots clé s: FragariaÁananassa, identification par le code ge´ne´tique, analyse a`variables multiples, hybridation, similitude ge´ne´tiqueThe cultivated strawberry (Fragaria )ananassa Duch.), an octoploid (2n 056) hybrid between the Scarlet or Virginia strawberry (F. virginiana Duch.) and the pistillate South American F. chiloensis (L.) Duch., is a dicotyledonous, perennial low-growing herb grown in most arable regions of the World. The crop is enjoyed by millions of people in all kinds of climates including temperate, Mediterranean, subtropical and tai...

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Association between relationship measures based on AFLP markers, pedigree data and morphological traits in barley

Cited by 154 publications

References 21 publications

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

Analyses Using SSR and DArT Molecular Markers Reveal that Ethiopian Accessions of White Lupin (<i>Lupinus albus</i> L.) Represent a Unique Genepool

Inter Simple Sequence Repeat (ISSR) markers to assess genetic diversity and relatedness within strawberry genotypes

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Association between relationship measures based on AFLP markers, pedigree data and morphological traits in barley

Cited by 154 publications

References 21 publications

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

Morphological and AFLP markers for describing genetic relationships among white-oat genotypes

Analyses Using SSR and DArT Molecular Markers Reveal that Ethiopian Accessions of White Lupin (&lt;i&gt;Lupinus albus&lt;/i&gt; L.) Represent a Unique Genepool

Inter Simple Sequence Repeat (ISSR) markers to assess genetic diversity and relatedness within strawberry genotypes

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Analyses Using SSR and DArT Molecular Markers Reveal that Ethiopian Accessions of White Lupin (<i>Lupinus albus</i> L.) Represent a Unique Genepool