DNA markers linked to yield, yield components, and morphological traits in autotetraploid lucerne (Medicago sativa L.)

Musial, J. M.; Lowe, KF; Mackie, J. M.; Aitken, Karen S.; Irwin, J. A. G.

doi:10.1071/ar05390

Cited by 15 publications

(10 citation statements)

References 31 publications

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“…Extensive research has been performed to identify markers associated with the desirable traits in crops. For the autotetra-ploid alfalfa, markers associated with disease resistance Irwin et al, 2006;Mackie et al, 2007;Musial et al, 2005Musial et al, , 2007 and yield (Brouwer et al, 2000;Musial et al, 2006) have already been discovered.…”

Section: Introductionmentioning

confidence: 99%

Association of AFLP and SCAR markers with common leafspot resistance in autotetraploid alfalfa (Medicago sativa)

Wang¹,

Bi²,

Yuan³

et al. 2012

Genet. Mol. Res.

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ABSTRACT. To identify amplified fragment length polymorphism (AFLP) markers associated with resistance or susceptibility of alfalfa to common leafspot (CLS) caused by the fungus Pseudopeziza medicaginis (Dermateaceae), bulked segregant analysis was conducted based on an F 1(M × M) population of 93 plants and a BC 1 S population of 91 plants. Three AFLP markers, ACTCAA R206 , TAGCAC R185 , and GGACTA S264 , were found to be associated with CLS resistance or susceptibility. All three markers were found at significantly different frequencies (71.9, 80.3 and 91.8%) compared to resistant or susceptible plants in the original population. Subsequently, these three AFLP markers were converted into three SCAR markers, ACTCAA R136 , TAGCAC R128 and GGACTA S254 , which are easier to employ in breeding programs. The three SCAR markers were used in a randomly selected population with 50% resistance; the probability of finding one resistant plant was increased to 67.3, 66.7 and 90.0% with markers ACTCAA R136 , TAGCAC R128 and GGACTA S254 , independently. If two of the SCAR markers were used simultaneously, the probability would be higher than 89%. The three SCAR markers identified in this study would be applicable for selection for CLS resistance in alfalfa breeding programs. Moreover, the genetic analysis indicated that CLS resistance in alfalfa is conferred by a single dominant gene.

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Section: Introductionmentioning

confidence: 99%

Association of AFLP and SCAR markers with common leafspot resistance in autotetraploid alfalfa (Medicago sativa)

Wang¹,

Bi²,

Yuan³

et al. 2012

Genet. Mol. Res.

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“…Maximum heterosis has been proposed to be manifested in plants containing chromosomal blocks of favourable dominant genes linked in repulsion (Bingham et al 1994). The above molecular marker investigations of yield have identified multiple QTL across the genome, often with specific alleles at the same loci contributing either positive or negative additive effects to the phenotypic values determined across differing environmental factors including the seasonal timing of biomass assessment and location of genotype evaluation (Bingham et al 1994;Musial et al 2006;Robins et al 2007aRobins et al , 2007b. both BC populations to generate composite maps of each linkage group: seven of the eight linkage groups identified.…”

Section: Lucerne Molecular Geneticsmentioning

confidence: 99%

“…In tetraploid lucerne, traits for which QTL have been identified include autumn growth, freezing tolerance, freezing injury, yield, biomass production, persistence and pathogen resistances to Stagonospora meliloti, Phytophthora medicaginis, Colletotrichum trifolii and Peronospora trifoliorum Maureira-Butler et al 2007;Musial et al 2005Musial et al , 2006Musial et al , 2007Robins et al 2007aRobins et al , 2007bRobins et al , 2008 (Table 2.1). The extent of marker-trait associations performed in the above studies varies from locus associations in testcross populations to the identification of specific alleles of a marker on individual homologues contributing either positive and negative effects on the target trait under investigation.…”

Section: Lucerne Molecular Geneticsmentioning

confidence: 99%

“…However, their use was generally limited to the identification of a locus and not specific alleles at a locus. The most recent mapping studies in lucerne utilised SSR markers which have been developed from M. sativa expressed sequence tag (EST) libraries, or from the Medicago truncatula genome sequence (Brouwer et al 2000;Diwan et al 2000;Julier et al 2003;Mackie et al 2007;Musial et al 2005Musial et al , 2006Narasimhamoorthy et al 2007;Robins et al 2007a, 2007bSledge et al 2005. Markers anchored to the genomic sequence will provide a basis for the transfer of information about loci between maps and allow for comparative genome studies.…”

Section: Many Target Traits Important For Medicago Sativa Cultivar Immentioning

confidence: 99%

“…The lucerne genotype WA272 was identified as Phytophthora resistant in routine screening of a later generation of Aquarius, and may have the same two complementary loci (Pm 1 and Pm 2 ), or the two independently segregating loci (Pm 5 and Pm 6 ) conferring resistance as M193. Clone D is a single plant from the cultivar Demnat (Oram 1990) known to be susceptible to P. medicaginis, and used in previous mapping studies Musial et al 2005Musial et al , 2006). …”

Section: Plant Materials (Wa272 X D Mapping Population)mentioning

confidence: 99%

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Development and validation of molecular markers for Phytophthora medicaginis resistance in lucerne

Armour¹

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Lucerne (Medicago sativa ssp. sativa L.) is one of the most important forage legumes worldwide, and Australia's most valuable perennial forage legume. Phytophthora root rot, caused by the oomycete pathogen Phytophthora medicaginis is a lethal disease of lucerne in Australia and America. The disease is a major productivity constraint when cultivars without adequate resistance levels are grown in conditions conducive to high disease pressure. The research presented here examined Phytophthora resistance in lucerne genotypes selected from Australian cultivars, however the findings are of relevance worldwide due to the extensive use of international (USA) germplasm in Australian lucerne breeding programs in particular.A broad-based synthetic approach, first described in1942, has been the most commonly used process in lucerne breeding. However, this approach presents an inherent set of limitations which are highlighted by the yield plateau observed in lucerne in the absence of disease and pest pressures.Improved breeding strategies have been proposed to address the limitations of the current approach and the constraints imposed by lucerne biology. These improved breeding strategies utilise synthetics based on far fewer parents than are currently being used, providing greater possibilities for making genetic gain for multiple quantitatively inherited traits.However, a paucity of information exists on the number, genomic location and diversity of P. medicaginis resistance loci available in the M. sativa gene pool for breeding Phytophthora resistant lucerne. This information would underpin selection of parental genotypes in narrow-based breeding schemes aimed at addressing the current yield stagnation in lucerne. One previous report described the mapping of Phytophthora resistance loci in the lucerne genotype W116, however the molecular marker systems employed did not enable chromosome number assignment to the linkage groups generated, and the markers have limited comparative mapping potential. The research presented here sought to address the current knowledge gap in the lucerne-Phytophthora pathosystem. It determined the genetic basis for P. medicaginis resistance in lucerne clone WA272 by assigning chromosome locations to the resistance loci identified and generated an alignment of the resistance loci identified with those in W116.An autotetraploid mapping population of 182 individuals was generated and phenotyped for P. medicaginis reaction using established inoculation procedures. The population was genotyped using SSR markers from existing M. sativa and M. truncatula genetic linkage maps. Large effect QTLs iii for resistance to P. medicaginis were detected in the WA272 x D mapping population, and using the linkage map developed, these were located to WA272 linkage groups 2, 5, 6 and 7. The large effect QTL identified on linkage groups 2 and 6 through interval mapping, and the best single markers from linkage groups 5 and 7 collectively explained 94%, 92% and 76% of the phenotypic variation for the cotyledon...

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Alfalfa genomic selection for different stress‐prone growing regions

Annicchiarico

Bouizgaren

et al. 2022

The Plant Genome

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Alfalfa (Medicago sativa L.) selection for stress-prone regions has high priority for sustainable crop-livestock systems. This study assessed the genomic selection (GS) ability to predict alfalfa breeding values for drought-prone agricultural sites of Algeria, Morocco, and Argentina; managed-stress (MS) environments of Italy featuring moderate or intense drought; and one Tunisian site irrigated with moderately saline water. Additional aims were to investigate genotype × environment interaction (GEI) patterns and the effect on GS predictions of three single-nucleotide polymorphism (SNP) calling procedures, 12 statistical models that exclude or incorporate GEI, and allele dosage information. Our study included 127 genotypes from a Mediterranean reference population originated from three geographically contrasting populations, genotyped via genotyping-by-sequencing and phenotyped based on multi-year biomass dry matter yield of their dense-planted half-sib progenies. The GEI was very large, as shown by 27-fold greater additive genetic variance × environment interaction relative to the additive genetic variance and low genetic correlation for progeny yield responses across environments. The predictive ability of GS (using

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DNA markers linked to yield, yield components, and morphological traits in autotetraploid lucerne (Medicago sativa L.)

Cited by 15 publications

References 31 publications

Association of AFLP and SCAR markers with common leafspot resistance in autotetraploid alfalfa (Medicago sativa)

Association of AFLP and SCAR markers with common leafspot resistance in autotetraploid alfalfa (Medicago sativa)

Development and validation of molecular markers for Phytophthora medicaginis resistance in lucerne

Alfalfa genomic selection for different stress‐prone growing regions

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