Classification of French maize populations based on morphological traits

Gouesnard, Brigitte; Dallard, J.; Panouillé, A.; Boyat, Armand

doi:10.1051/agro:19970906

Cited by 25 publications

(20 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This has led to the clear separation of the 'Sikkim Primitives' in both cluster analysis and PCA. In an analysis of 262 French maize accessions using 15 morphological traits, Gouesnard et al (1997) identified earliness and plant size as major factors contributing to the grouping of the accessions. However, in the present study, both cluster analysis and PCA could not effectively discriminate the NEH and non-NEH accessions based on morpho-agronomic data, reinforcing the limitations of such data in revealing the patterns of genetic structure among the heterogeneous maize populations, as was also observed by Rebourg et al (2001).…”

Section: Discussionmentioning

confidence: 99%

Analysis of phenotypic and microsatellite-based diversity of maize landraces in India, especially from the North East Himalayan region

2010

View full text Add to dashboard Cite

The maize landraces in the North East Himalayan (NEH) region in India, especially in the Sikkim state, are morphologically highly diverse. The present study provides details of phenotypic and molecular characterization of a set of 48 selected maize landrace accessions, including the 'Sikkim Primitives' which have a unique habit of prolificacy (5-9 ears on a single stalk). Multi-location phenotypic evaluation of these 48 accessions revealed significant genetic variability for grain yield and its components, leading to identification of several promising accessions. Cluster analysis and PCA using nine morpho-agronomic characters clearly separated 'Sikkim Primitives' from the rest of the accessions. PCA revealed two principal components describing 90% of the total variation, with hundred kernel weight, ear length, ear diameter, number of kernels per ear and flowering behaviour forming the most discriminatory traits. The accessions were genotyped using 42 microsatellite or simple sequence repeat (SSR) markers using a 'population bulk DNA fingerprinting strategy', with allele resolution using an automated DNA Sequencer. The study revealed a high mean number of alleles per SSR locus (13.0) and high Polymorphism Information Content (PIC) value of 0.60. The analysis also led to identification of 163 private/unique alleles, differentiating 44 out of 48 accessions. Six highly frequent SSR alleles were detected at different loci (phi014, phi062, phi090, umc1266, umc1367 and umc2250) with individual frequencies >/=0.75. Some of these SSR loci were reported to tag specific genes/QTL for some important traits, indicating that chromosomal regions harboring these SSR alleles were not selectively neutral. Cluster analysis using Rogers' genetic distance also revealed distinct genetic identity of the 'Sikkim Primitives' from the rest of the accessions in India, including Sikkim. Mantel's test revealed significant and positive correlation between the phenotypic and molecular genetic dissimilarity matrices. The study was the first to portray the patterns of phenotypic and molecular diversity in the maize landraces from the NEH region in India.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of phenotypic and microsatellite-based diversity of maize landraces in India, especially from the North East Himalayan region

2010

View full text Add to dashboard Cite

show abstract

“…The necessity to characterise these collections in order to use their material properly in breeding programmes also appeared quickly. Morphological descriptions and classifications have been carried out on Spanish (Sanchez-Monge 1962), Italian (Brandolini and Mariani 1968), Yugoslavian and Romanian (Pavlicic and Trifunovic 1966), Portuguese (Costa-Rodrigues, 1971) and, more recently, French (Gouesnard et al 1997) national collections. Using isozymes, Geric et al (1989) analysed genetic diversity and relationships among 300 Yugoslavian accessions previously classified in 18 groups on the basis of morphological characters.…”

Section: Introductionmentioning

confidence: 99%

RFLP diversity and relationships among traditional European maize populations

et al. 2002

Self Cite

View full text Add to dashboard Cite

Given the large extent of hybrid cultivation, the importance of conserving the diversity of crop genetic resources has given birth to numerous collections of old races. In the present paper, we conduct a molecular characterisation of a large collection of 488 European maize populations using the bulk RFLP analysis. The analysis of 23 RFLP loci showed a high allelic richness of 11.5 alleles per locus. Populations from eastern Europe (Poland, Austria, Germany, etc.) showed the lowest genetic diversity, a lower number of unique alleles and a higher percentage of fixed loci than populations from southern Europe. In fact, genetic diversity appeared higher in Southern regions where the first maize populations are thought to have been introduced. Molecular classification based on Rogers' distance (i.e. alleles frequencies) allowed us to distinguish three main clusters which were highly consistent with geographic origins. A Northeastern cluster grouped together early or intermediate populations from Northeastern countries and the Balkans, a southeastern cluster joined late and partially dent populations from Greece and Italy, and, a southwestern cluster was made up of early flint populations from northern Spain, Portugal and the Pyrenees. A correlation between allelic frequencies at some loci and latitude and/or longitude was observed. Such tendencies may reflect the direction of gene flow between different races of maize: for instance, North American (Northern flint) and Caribbean populations were introduced, respectively, to northern and southern Europe, in the past.

show abstract

“…The worldwide collection and evaluation of landraces of maize and other important crops has been promoted to conserve and utilize the genetic resources 1,4,5,8,10 . Today, large amounts of genomic information have been accumulated and are accessible on the Internet for most important crops.…”

Section: Discussionmentioning

confidence: 99%

Classification of Maize Landraces from Shikoku and Kyushu, Japan, Based on Phenotypic Characteristics

Harada

Huan

Ueno

2009

JARQ

View full text Add to dashboard Cite

We examined 40 accessions of maize collected from Shikoku (36) and Kyushu (4) for 18 characteristics of growth, yield, and ear morphology. Nested ANOVA revealed significant variations among the accessions in most of the characteristics. Principal component analysis of 11 representative characteristics revealed that the first 4 principal components (Eigenvalues > 1) accounted for 75.2% of the total variation. These 4 components indicated earliness of growth, ear morphology, yield ability, and seed size in decreasing order of effects. Using cluster analysis based on the 4 components, we identified at least 8 cultivars, which we tentatively assigned to 5 cultivar groups defined in the 1960s. The accessions from Shikoku are rich in phenotypic variations and include landraces that have not been mentioned before.

show abstract

Classification of French maize populations based on morphological traits

Cited by 25 publications

References 4 publications

Analysis of phenotypic and microsatellite-based diversity of maize landraces in India, especially from the North East Himalayan region

Analysis of phenotypic and microsatellite-based diversity of maize landraces in India, especially from the North East Himalayan region

RFLP diversity and relationships among traditional European maize populations

Classification of Maize Landraces from Shikoku and Kyushu, Japan, Based on Phenotypic Characteristics

Contact Info

Product

Resources

About