Production of herbicide-resistant jointed goatgrass (<i>Aegilops cylindrica</i>) × wheat (<i>Triticum aestivum</i>) hybrids in the field by natural hybridization

Seefeldt, Steven S.; Zemetra, Robert S.; Young, Frank L.; Jones, Stephen S.

doi:10.1017/s004317450008961x

Cited by 93 publications

(80 citation statements)

References 5 publications

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“…Transfer of herbicide resistance from crops to related weed species through pollen movement may create new herbicide-resistant weed populations (Seefeldt et al, 1998) that would have to be controlled by different herbicides or by other means. The rate at which shifts in weed populations or communities occur in association with the use of herbicide-tolerant crops will depend on how the technology is used.…”

Section: Herbicide Usementioning

confidence: 99%

Continuous cropping systems and weed selection

Murphy

Lemerle

2006

Euphytica

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Changes in the weed flora of agro-ecosystems can occur as long-term changes or temporary fluctuations in species composition. The rate at which weed population shifts occur depends on the selection pressure imposed, genetic variability among weed populations, plant characteristics and environmental factors. Agronomic practices associated with cropping systems including crop rotation, tillage, herbicide use, soil amendments, and mechanization of harvesting that impart a range of selection pressures on weed populations are discussed in this review. Widespread use of herbicides has had the greatest impact on weed selection in recent years. Evolution of herbicide resistant weeds presents an enormous challenge to farmers. Development of herbicide tolerant crops has provided another tool for farmers however the selection pressure on weeds and potential impact on weed population shifts will require judicious use of this technology. Simulation models provide an excellent opportunity to predict future weed population shifts in response to management practices. Further insight into future management changes on weed selection must proceed towards an investigation of the processes rather than the outcomes. In particular, this must involve an understanding of the ecological factors and processes that are likely to determine the weed responses to particular management regimes.

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Section: Herbicide Usementioning

confidence: 99%

Continuous cropping systems and weed selection

Murphy

Lemerle

2006

Euphytica

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“…Moreover, hybrids between wheat and many wild and cultivated Triticeae have an impact on crop breeding (Limin and Fowler 1990;Friebe et al 1992;Seifers et al 1995;Yuan et al 1997). They are also important for the cultivation of transgenic wheat in regions where wild relatives are abundant and close to cultivated areas, because of the risks of transgene escape into the wild (Seefeldt et al 1998;Zemetra et al 1998). A set of specific markers is thus needed to easily identify species, hybrids, and cross-derived individuals.…”

Section: Introductionmentioning

confidence: 99%

Specific genetic markers for wheat, spelt, and four wild relatives: comparison of isozymes, RAPDs, and wheat microsatellites

Guadagnuolo¹,

Savova-Bianchi²,

Felber³

2001

Genome

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Three types of markersisozymes, RAPDs (random amplified polymorphic DNAs), and wheat microsatelliteswere tested on wheat, spelt, and four wild wheat relatives (Aegilops cylindrica, Elymus caninus, Hordeum marinum, and Agropyron junceum). The aim was to evaluate their capability to provide specific markers for differentiation of the cultivated and wild species. The markers were set up for subsequent detection of hybrids and introgression of wheat DNA into wild relatives. All markers allowed differentiation of the cultivated from the wild species. Wheat microsatellites were not amplified in all the wild relatives, whereas RAPDs and isozymes exhibited polymorphism for all species. The dendrograms obtained with RAPD and isozyme data separated Swiss wheat cultivars from those collected in Austria and England, while no difference was found between Swiss spelt and wheat. RAPD data provided a weak discrimination between English and Austrian E. caninus. The microsatellite-based dendrogram discriminated populations of Ae. cylindrica, but no clear separation of H. marinum from E. caninus was revealed. The similarity matrices based on the three different sets of data were strongly correlated. The highest value was recorded between the matrices based on RAPDs and isozymes (Mantel's test, r = 0.93). Correlations between the similarity matrix based on microsatellites and matrices based on RAPDs and isozymes were lower: 0.74 and 0.68, respectively. While microsatellites are very useful for comparisons of closely related accessions, they are less suitable for studies involving less-related taxa. Isozymes provide interesting markers for species differentiation, but their use seems less appropriate for studies of within-species genetic variation. RAPDs can produce a large set of markers, which can be used for the evaluation of both between- and within-species genetic variation, more rapidly and easily than isozymes and microsatellites.Key words: Triticeae, isozymes, RAPDs, microsatellites, polymorphism.

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“…Imidazolinone-resistant hybrids were discovered in a field plot, and 2% of the spikelets also had viable BC 1 seeds (Seefeldt et al 1998). The BC 2 generation can be self-fertile and also may function as the male or female in backcrosses with jointed goatgrass (Wang et al 2001).…”

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confidence: 99%

Resistance to an imidazolinone herbicide is conferred by a gene on chromosome 6DL in the wheat line cv. 9804

2004

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An induced mutation of the common wheat (2n = 6x = 42, AABBDD genomes) cultivar ‘Fidel’ has been shown to provide resistance to the imidazolinone class of herbicides. This class of herbicide gives broad-spectrum weed control including the weedy relative of wheat, jointed goatgrass (2n = 4x = 28, CCDD genomes). Because wheat and jointed goatgrass share a common genome, genes present on the D genome may transfer between the two species as a result of natural hybridization and selective pressures. Our objectives were to determine which genome of common wheat contained the herbicide resistance gene in the mutated Fidel and to genetically map its position. We investigated the chromosomal location of this gene using both durum (2n = 4x = 28, AABB genomes) and common wheat (6x) backgrounds. From crosses of durum wheat genotypes as the recurrent parent with mutated Fidel (cv. 9804, resistant), only BC1plants containing chromosome 6D (inherited from cv. 9804) were resistant to applications of labeled rates of imazamox, an imidazolinone herbicide. No other D-genome chromosome was absolutely associated with herbicide resistance. To confirm this chromosomal location and genetically map the position of this gene, two populations of F3families from the cross of cv. 9804 to the common wheat cultivars ‘Cashup’ and ‘Madsen’ were screened for reaction to imazamox, followed by genetic mapping with microsatellite markers. Two linked microsatellite markers were associated with the resistance trait, and one of them,Xgdm127, was located to chromosome 6D using aneuploid stocks, confirming the location of this gene on 6D. These results indicate that this resistance gene is in the genome that common wheat shares with jointed goatgrass. Therefore, imidazolinone-resistant wheat will need to be carefully managed to minimize the occurrence and spread of resistant jointed goatgrass, whether such plants arise because of hybridization with resistant common wheat or by independent mutation, a frequent occurrence with this herbicide class.

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Production of herbicide-resistant jointed goatgrass (Aegilops cylindrica) × wheat (Triticum aestivum) hybrids in the field by natural hybridization

Cited by 93 publications

References 5 publications

Continuous cropping systems and weed selection

Continuous cropping systems and weed selection

Specific genetic markers for wheat, spelt, and four wild relatives: comparison of isozymes, RAPDs, and wheat microsatellites

Resistance to an imidazolinone herbicide is conferred by a gene on chromosome 6DL in the wheat line cv. 9804

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