References of "Genetic Resources and Crop Evolution"
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See detailGenetic structure of Lima bean (Phaseolus lunatus L.) landraces grown in the Mayan area
Camacho-Pérez, Luciana; Martínez-Castillo, Jaime; Mikangos-Cortés, Javier O. et al

in Genetic Resources and Crop Evolution (2017)

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See detailUsing molecular markers to assess the genetic diversity and population structure of finger millet (Eleusine coracana (L.) Gaertn.) from various geographical regions
Ramakrishnan, M.; Stanislaus, Antony Ceasar ULiege; Duraipandiyan, V et al

in Genetic Resources and Crop Evolution (2015), 63

A genetic diversity study of 128 finger millet genotypes collected from various geographical regions was performed using RAPD markers. The average locus obtained across all genotypes was 115.56 per primer ... [more ▼]

A genetic diversity study of 128 finger millet genotypes collected from various geographical regions was performed using RAPD markers. The average locus obtained across all genotypes was 115.56 per primer and 0.9 per genotype; the average polymorphism was 76.48 % per primer and average PIC value was 0.40 per primer. The Jaccard’s similarity coefficient value ranged from 0.0085 to 0.81, and UPGMA cluster analysis showed that the bootstrap value was 100 %. These analyses confirmed that all the genotypes were genetically diverse. The genotypes have been grouped into twelve subclusters. Paiyur-2 and KRI007-01 showed the highest Jaccard’s similarity value of 0.81 in UPGMA analysis. All Indian genotypes were placed in subclusters EcC1 to EcC7 along with nine non-Indian genotypes based on UPGMA analysis. AMOVA analysis showed that the percentage of molecular variance among the various geographical regions was 1 %, among populations it was 5 % and within populations it was 94 %. PCA analysis revealed that first and third component axes accounted for 11.3 and 3.7 % of total variance respectively and genotypes were distributed according to their various geographical regions. The correlation value ranged from −0.4 to 0.5 in PCA loadings analysis. Cophenetic correlation coefficient value was 0.8802. In structural analysis, the genotypes were divided into four subpopulations (SP1, SP2, SP3 and SP4) and it revealed that all the four subpopulations had an admixture of alleles and only one pure line (Paiyur-2) was observed. There was good correspondence between the Radial tree analysis and the population structure. This study may form the basis for finger millet breeding and improvement program. [less ▲]

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See detailMorphological and molecular diversity within Algerian cowpea (Vigna unguiculata (L.) Walp.) landraces
Ghalmi, Naima; Malice, Marie ULiege; jacquemin, Jean-Marie et al

in Genetic Resources and Crop Evolution (2010), (57), 371-386

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See detailGenetic diversity analysis of wild Arracacia species according to morphological and molecular markers
Blas, R.; Ghislain, M.; del Rosario Herrera, M. et al

in Genetic Resources and Crop Evolution (2008), 55(5), 625-642

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See detailAnalysis Of The Geographic Distribution And Relationships Among Peruvian Wild Species Of Arracacia
Blas, R.; Hermann, M.; Baudoin, Jean-Pierre ULiege

in Genetic Resources and Crop Evolution (2008), 55(5), 643-655

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See detailGenetic Structure Of Quinoa (Chenopodium Quinoa Willd.) From The Bolivian Altiplano As Revealed By Rapd Markers
Del Castillo, C.; Winkel, T.; Mahy, Grégory ULiege et al

in Genetic Resources and Crop Evolution (2007), 54(4), 897-905

Quinoa (Chenopodium quinoa Willd.) is a pseudocereal originated from the Andes important for small farmers’ food security as well as for commercial production. Recently, it has been claimed that in ... [more ▼]

Quinoa (Chenopodium quinoa Willd.) is a pseudocereal originated from the Andes important for small farmers’ food security as well as for commercial production. Recently, it has been claimed that in Bolivia genetic erosion could result from the marginalization of the crop in the north and from its commercial standardization in the south. The aim of this study was to quantify the hierarchical structure of the genetic variation present in eight quinoa field populations, consisting of cultivated and weedy individuals, representative of the altiplano and interandean valleys of Bolivia. Randomly amplified polymorphic DNA markers show that quinoa has a strong population structure and a high intra-population variation. An effect of geographical structure of the populations was highlighted, due to population isolation, not simply linked to distance but more probably to climatic and orographic barriers present in the studied zone. The population structure is also reinforced by the limited seed exchanges among farmers as revealed by field interviews. This population structure appears related to three major biogeographic zones: the northern and central altiplano, the interandean valley, and the southern Salar. Intrapopulation genetic diversity was higher than that expected for a mainly autogamous species, and higher than that reported in anterior studies based on germplasm collections. These results are commented in view of current knowledge on phylogeny and reproductive biology of the species, and their implications regarding genetic resources management are discussed. [less ▲]

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See detailGenetic Diversity In The Lima Bean (Phaseolus Lunatus L.) As Revealed By Chloroplast Dna (Cpdna) Variations
Fofana, B.; Du Jardin, Patrick ULiege; Baudoin, Jean-Pierre ULiege

in Genetic Resources and Crop Evolution (2001), 48(5),

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