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Zia-Ul-Haq,Muhammad; Ahmad,Shakeel; Bukhari,Shazia Anwer; Amarowicz,Ryszard; Ercisli,Sezai; Jaafar,Hawa ZE. |
BACKGROUND: In recent years, the desire to adopt a healthy diet has drawn attention to legume seeds and food products derived from them. Mash bean is an important legume crop used in Pakistan however a systematic mapping of the chemical composition of mash bean seeds is lacking. Therefore seeds of four mash bean (Vigna mungo (L.) Hepper, family Leguminoseae) cultivars (NARC-Mash-1, NARC-Mash-2, NARC-Mash-3, NARC-Mash-97) commonly consumed in Pakistan have been analyzed for their chemical composition, antioxidant potential and biological activities like inhibition of formation of advanced glycation end products (AGE) activity and tyrosinase inhibition activity. RESULTS: The investigated cultivars varied in terms of biochemical composition to various... |
Tipo: Journal article |
Palavras-chave: Nutrients; Antioxidant potential; Mash bean cultivar; Pakistan. |
Ano: 2014 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602014000100023 |
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Zeshan,Ali; Afzal,Muhammad; Alghamdi,Salem S.; Kettener,Karien; Ali,Mubashar; Mubushar,Muhammad; Ahmad,Shakeel. |
ABSTRACT The presence of geneticdiversity is of great importance in improving wheat traits and developing strategies for optimal conservation of germplasm. Genetic diversity was assessed among common wheat cultivars using RAPD (Random Amplified Polymorphic DNA) markers at the Center of Agriculture, Biochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad. RAPD primers were used among 14 Pakistani wheat cultivars, to screen the progenies and for the identification of the genes of interest. The polymorphic information content (PIC), was measured as the percentage of polymorphic fragments for all primers. A total of 583 bands(84% polymorphic) in all 14 wheat cultivars was amplified and discriminated all the wheat genotypes. The number of... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Wheat; RAPD; Genetic diversity; PCoA; Cluster analysis. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000100432 |
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