scholarly journals Phenolic Fingerprinting and Glumes Image Analysis as an Effective Approach for Durum Wheat Landraces Identification

2018 ◽  
Author(s):  
Oscar Grillo ◽  
Marisol Lo Bianco ◽  
Sebastiano Blangiforti ◽  
Laura Siracusa ◽  
Gianfranco Venora ◽  
...  
Keyword(s):  
Image Analysis ◽  
Durum Wheat ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

scholarly journals Unlocking the Patterns of the Tunisian Durum Wheat Landraces Genetic Structure Based on Phenotypic Characterization in Relation to Farmer’s Vernacular Name

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 634
Author(s):  
Cyrine Robbana ◽  
Zakaria Kehel ◽  
Karim Ammar ◽  
Carlos Guzmán ◽  
M’Barek Ben Naceur ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Durum Wheat ◽  
Smallholder Farmers ◽  
Phenotypic Variability ◽  
Phenotypic Characterization ◽  
Ecological Niches ◽  
Dry Conditions ◽  
New Gene ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

During the 1970s, Tunisian durum wheat landraces were replaced progressively by modern cultivars. These landraces are nowadays maintained by smallholder farmers in some ecological niches and are threatened gradually by extinction resulting in the narrowing of the genetic diversity. This study aims to investigate patterns of phenotypic variability using twelve quantitative traits in a panel of 189 durum wheat landraces and seven checks, based on farmer’s population name attribution and genetic structure. Our results showed high phenotypic variability among and within landraces and checks for ten out of twelve studied traits. The principal components analysis showed similar grouping using farmers name attribution and genetic structure using K = 6. These results confirmed the identification of a new gene pool in the oases of Tunisia, represented by the sub-population Jenah Zarzoura and the robustness and high relationships between phenotypic and genome-wide genetic structure using DArTseq method. These findings will enhance the conservation efforts of these landraces and their use in breeding efforts at national and international levels to adapt to dry conditions.

Phenolic Fingerprint of Sicilian Modern Cultivars and Durum Wheat Landraces: A Tool to Assess Biodiversity

2017 ◽  
pp. CCHEM-06-17-012 ◽  
Author(s):  
Marisol Lo Bianco ◽  
Laura Siracusa ◽  
Sandro Dattilo ◽  
Gianfranco Venora ◽  
Giuseppe Ruberto
Keyword(s):  
Durum Wheat ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

Screening of durum wheat landraces (Triticum turgidum subsp. durum) for the malting suitability

2018 ◽  
Vol 83 ◽  
pp. 101-109 ◽  
Author(s):  
Vincenzo Alfeo ◽  
Barbara Jaskula-Goiris ◽  
Ginfranco Venora ◽  
Emanuele Schimmenti ◽  
Guido Aerts ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Triticum Turgidum ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

scholarly journals Allelic Variation for Prolamins in Spanish Durum Wheat Landraces and Its Relationship with Quality Traits

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 136 ◽  
Author(s):  
Efraín A. Chacón ◽  
Francisco J. Vázquez ◽  
Patricia Giraldo ◽  
José M. Carrillo ◽  
Elena Benavente ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Allelic Variation ◽  
Sodium Dodecyl ◽  
Grain Protein Content ◽  
Quality Parameters ◽  
Quality Properties ◽  
Functional Quality ◽  
Specific Allele ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

Wheat landraces are currently being explored mainly as a source of allelic variation related to crop resilience and low-input adaptation. Characterization of their high- and low-molecular weight glutenin subunits can aid breeders to select as donor local materials those ensuring good end-use properties in the derived elite cultivars. By using protein electrophoretic methods, we have determined the prolamin allelic profile of 116 Spanish durum wheat landraces. Their quality properties (as defined by grain protein content, sodium dodecyl sulfate (SDS) sedimentation volume and mixograph behavior) have also been assessed. The study has identified six novel glutenin alleles plus some other rare alleles some of which have been associated with improved durum wheat quality. Most of the novel variation detected needs to be characterized in a wider sample of varieties to establish any eventual beneficial effect on functional quality. Further analysis of the quality properties associated to specific allele combinations of Glu-A3, Glu-B3, and Glu-A1 has disclosed some clues on the influence on quality of certain non-allelic interactions between these main prolamin-encoding loci. Some of the landraces, showing outstanding values for the gluten quality parameters analyzed, might be directly used by farmers interested in the cultivation of traditional varieties for specialized food markets.

scholarly journals High-Throughput Genotype, Morphology, and Quality Traits Evaluation for the Assessment of Genetic Diversity of Wheat Landraces from Sicily

Plants ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 116 ◽  
Author(s):  
Fiore ◽  
Mercati ◽  
Spina ◽  
Blangiforti ◽  
Venora ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Durum Wheat ◽  
Extreme Environments ◽  
Principal Component ◽  
Detailed Knowledge ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates ◽  
Wide Range ◽  
Wheat Landraces ◽  
Durum Wheat Landraces

During the XX Century, the widespread use of modern wheat cultivars drastically reduced the cultivation of ancient landraces, which nowadays are confined to niche cultivation areas. Several durum wheat landraces adapted to the extreme environments of the Mediterranean region, are still being cultivated in Sicily, Italy. Detailed knowledge of the genetic diversity of this germplasm could lay the basis for their efficient management in breeding programs, for a wide-range range of traits. The aim of the present study was to characterize a collection of durum wheat landraces from Sicily, using single nucleotide polymorphisms (SNP) markers, together with agro-morphological, phenological and quality-related traits. Two modern cv. Simeto, Claudio, and the hexaploid landrace, Cuccitta, were used as outgroups. Cluster analysis and Principal Coordinates Analysis (PCoA) allowed us to identify four main clusters across the analyzed germplasm, among which a cluster included only historical and modern varieties. Likewise, structure analysis was able to distinguish the ancient varieties from the others, grouping the entries in seven cryptic genetic clusters. Furthermore, a Principal Component Analysis (PCA) was able to separate the modern testers from the ancient germplasm. This approach was useful to classify and evaluate Sicilian ancient wheat germplasm, supporting their safeguard and providing a genetic fingerprint that is necessary for avoiding commercial frauds to sustaining the economic profits of farmers resorting to landraces cultivation.

Sign in / Sign up

Export Citation Format

Share Document