A comparative study of molecular and morphological methods of describing relationships between perennial ryegrass (Lolium perenne L.) varieties

Roldán‐Ruiz, Isabel; Eeuwijk, FA van; Gilliland, T. J.; Dubreuil, Pierre; Dillmann, Christine; Lallemand, J.; Loose, Marc De; Baril, C

doi:10.1007/s001220100571

Cited by 145 publications

(112 citation statements)

References 21 publications

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“…Orchardgrass is an allogamous species that has a strong self-incompatibility system (Xie et al, 2012), which guarantees that alleles in each cycle of mating are reshuffled to cause a high degree of genetic variation within populations (Hirata et al, 2011). Therefore, it is difficult to identify orchardgrass cultivars based on physiological and morphological traits, because these traits are subjective and quantitative in practice, limited in number, and affected by environmental conditions and the experience of evaluators (Roldán-Ruiz et al, 2001;Bolaric et al, 2005). To overcome these limitations, a number of molecular markers in orchardgrass have been employed for genetic diversity assessments, genetic mapping, and quantitative trait loci (QTL) analysis, because these traits are not influenced by variable environmental conditions with similar phenotype or plant phenology (Belaj et al, 2002).…”

Section: Identification Of Orchardgrass Cultivarsmentioning

confidence: 99%

Identification of orchardgrass (Dactylis glomerata L.) cultivars by using simple sequence repeat markers

Jiang¹,

Zhang²,

Ma³

et al. 2013

Genet. Mol. Res.

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ABSTRACT. The accurate identification of orchardgrass (Dactylis glomerata L.) cultivars is necessary to ensure purity for consumers, the effective utilization of cultivars, and to protect the intellectual property for breeders. Therefore, this study aimed to use SSR to construct DNA fingerprinting of orchardgrass cultivars. The genetic diversity of 32 orchardgrass cultivars originated from 21 countries, but grown in China, was assessed using a set of 29 SSR markers distributed across 9 linkage groups of the orchardgrass genome. A total of 229 bands were detected, with an average of 7.9 bands per marker. The average polymorphic rate for the species was 92.1%. The polymorphism information content ranged from 0.771 to 0.893. The genetic similarity ranged from 0.55 to 0.84, which confirmed a high level of genetic diversity among orchardgrass cultivars. The unweighted pair-group method, in combination with the arithmetic mean algorithm (UPGMA) dendrogram and principal coordinate analysis, showed a separation of 6 major clusters among 32 cultivars. The number of distinguishable cultivars ranged from 3 to 23, with an average of 12.1 per primer. Moreover, 11 bands that showed stable and repeatable SSR patterns were amplified by A01E14, A01K14, and D02K13. These bands were used to develop the DNA fingerprints for 32 orchardgrass cultivars. In the DNA fingerprints constructed, each cultivar had a unique fingerprinting pattern that was easily distinguished from the others. These results indicate that the SSR marker was polymorphic, and reliable for use in potential large-scale DNA fingerprinting of orchardgrass cultivars.

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Section: Identification Of Orchardgrass Cultivarsmentioning

confidence: 99%

Identification of orchardgrass (Dactylis glomerata L.) cultivars by using simple sequence repeat markers

Jiang¹,

Zhang²,

Ma³

et al. 2013

Genet. Mol. Res.

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“…Following this approach, breeders have combined both closely related and unrelated materials. This might be one of the reasons for the rather low genetic diversity among perennial ryegrass cultivars (Roldan-Ruiz et al 2001). In order to neutralize this genetic erosion, grass breeders can collect their base materials from natural grassland.…”

Section: Introductionmentioning

confidence: 99%

“…Various approaches can be applied to measure diversity of accessions and to classify them. Genetic diversity can be measured using DNA markers (Roldan-Ruiz et al, 2001;Bolaric et al, 2005;McGrath et al, 2007) or traditionally, by evaluating morphological traits (Bennet et al, 2000;Mirjalili et al, 2008;Sartie et al, 2009). Thorough evaluation of various agro-biological traits of foreign ecotypes under local climatic conditions is especially important for breeding programmes.…”

Section: Introductionmentioning

confidence: 99%

Production of Biscuits With Higher Nutritional Value

Kārkliņa¹,

Gedrovica²,

Reca³

et al. 2012

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences

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Perennial ryegrasses (Lolium perenne L.) are one of the most valuable forage grasses, characterized by high productivity and good feed quality. Intensive cultivation of ryegrasses has resulted in reduced genetic diversity. Wild ryegrass ecotypes can be used in breeding programmes as parental genotypes with the aim to neutralize this genetic erosion. The objective of this study was to evaluate wild perennial ryegrass ecotypes from Ukraine under Lithuanian climatic conditions. Wild ecotypes were collected in Western and Northern Ukraine in 2008-2009 and planted in 2009-2010 In the collection trials the following parameters were assessed: winter survival, re-growth in spring, beginning of heading, plant height, length and width of flag leaf, inflorescence length and biomass. The parameters were estimated using the standard UPOV methodology (Anonymous, 2006), where a score of 9 represent very high and 1 is a very low value for the trait.The spring of 2010 was warm, with sufficient available moisture in the soil. The weather in June was cool. There were days in July-April months when air temperature rose above 30°C. The entire growing season was characterised by abundant rainfall.The temperature in the spring of 2010 was variable. The summer was very warm and rainy. Mean temperature in summer was 1.7°C higher than the long-term mean temperature. Soil moisture was sufficient during the season, except in June.The coefficient of variation (CV) and standard error (Sd) of agro-biological traits were estimated using computer software STAT adapted by P. Tarakanovas in Visual Basic of Application as a macro programme to run in EXCEL (Tarakanovas and Raudonius, 2003 Principal component analysis was carried out based on agro-biological characteristics. For traits in 2010, the first three principal components (PC) accounted for 58.67% of the total variation among the 27 studied genotypes (Table 3). PC1 accounted for 22.36% of total variation, which according to eigenvector values, was best explained by beginning of heading and biomass. PC2 accounted for 18.86% of total variation and was related to winter survival and plant height. PC3 accounted for 17.45% of total variation and was explained by re-growth in spring and inflorescence length. The ecotypes were grouped according to these measurements. Genotypes No. 3811 and No. 3823 diverged from the rest (Fig. 1 In 2011, the first three PCs accounted for 69.83% of the total variation (Table 4). PC1 explained 38.17% of total variation and was related to biomass and beginning of heading. Factors explaining PC2 (16.95% of total variation) were plant height and width of flag leaf. PC3 accounted for 14.71% of total variation; factors associated with this axis were length of flag leaf and winter survival. Genotypes No. 3887 and 3886 formed a distinct group in the dendrogram (Fig. 2). Both started heading earlier than all other genotypes, had short and narrow flag leaves Genotype No. 3887 was tall and high-yielding, while No. 3886 was short and low-yielding. DISCUSSIONHigh genetic div...

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“…Les méthodes de calcul de distances entre variétés dépendent en effet du type de caractère (sélectionné ou neutre), du type de variété (homogène ou hétérogène) et du type de marqueur (dominant ou codominant). Dans le cas de la dérivation essentielle, le tableau synthétise les distances génétiques les plus adaptées aux différentes situations [6]. Pour des variétés homogènes (83 variétés de colza) caractérisées par des marqueurs dominants (154 marqueurs AFLP cartographiés), une étude comparative a été menée pour juger de l'efficacité de la distance BLUE (best linear unbiased estimator) par rapport à la distance de Rogers.…”

Section: éTablissement De La Dérivation Essentielleunclassified

“…La figure 5 présente les premiers résultats obtenus sur trois variétés de colza (une variété issue d'haplodiploïdisation très homogène, une variété hétérogène présentant six individus hors-type et une variété très hétérogène, non fixée) concernant l'utilisation des marqueurs moléculaires (173 marqueurs AFLP) pour apprécier l'homogénéité variétale et la présence d'individus hors-type (HT) [6]. L'indice de diversité de Nei, calculé pour chaque variété en excluant les individus hors-type, est en accord avec l'appréciation phénotypique de l'homogénéité des variétés.…”

Section: Appréciation De L'homogénéité Variétaleunclassified

CARACTERISATION VARIETALE Les marqueurs moléculaires : un nouvel outil pour l’inscription et la protection variétale ?

Baril¹

2001

OCL

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Résumé : Le Geves (Groupe d'étude et de contrôle des variétés et des semences) a pour mission officielle de mener les études nécessaires à l'homologation des variétés végétales nouvelles, la protection juridique du droit des obtenteurs et la certification des semences avant leur commercialisation, dans le cas des espèces soumises à une certification réglementaire. L'inscription d'une variété nouvelle au catalogue officiel est une condition nécessaire à sa commercialisation. Pour être homologuée, une variété doit être distincte, homogène et stable (DHS) et apporter un progrès au niveau de sa valeur agronomique ou technologique (VAT). L'expertise des nouvelles variétés est effectuée pour le compte du CTPS (Comité technique permanent de la sélection), placé sous l'autorité du ministère de l'Agriculture. Le matériel végétal nouveau peut bénéficier d'une protection légale par la délivrance d'un certificat d'obtention végétale (COV) par le CPOV (Comité de protection des obtentions végétales), en application de la convention internationale de l'Upov (Union pour la protection des obtentions végétales). La protection juridique du droit de l'obtenteur permet la valorisation de l'innovation variétale et, donc, celle des investissements de recherche. La production de semences certifiées suit des protocoles et respecte des normes de qualité très précises. Avant leur commercialisation, tous les lots de semences d'espèces certifiables sont échantillonnés et analysés. Les contrôles d'identité et de pureté variétale ainsi que les analyses de qualité des semences sont réalisés à la demande du SOC (Service officiel de contrôle et de certification), service technique du GNIS (Groupement national interprofessionnel des semences). Summary :The use of molecular markers for the registration of new varieties and for the protection of plant breeders has been analysed in many research studies and widely discussed among the international seeds community. Before adopting these powerful varietal characterisation tools, the underlying methods and techniques used remain to be defined.

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A comparative study of molecular and morphological methods of describing relationships between perennial ryegrass (Lolium perenne L.) varieties

Cited by 145 publications

References 21 publications

Identification of orchardgrass (Dactylis glomerata L.) cultivars by using simple sequence repeat markers

Identification of orchardgrass (Dactylis glomerata L.) cultivars by using simple sequence repeat markers

Production of Biscuits With Higher Nutritional Value

CARACTERISATION VARIETALE Les marqueurs moléculaires : un nouvel outil pour l’inscription et la protection variétale ?

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