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  • Open Access

    ARTICLE

    Phenotypic Characterization of Oryza nivara (Sharma et Shastry) Collected from Different Ecological Niches of Sri Lanka

    Salinda Sandamal1,2,3,#, Asanka Tennakoon1,#, Parakkrama Wijerathna1, Song Ge2,3, DABN Amarasekera4, Buddhi Marambe5, Sara M. Elwany6, Sobhy Sorour6, Ayman El Sabagh6, Mohamed M. Hassan7, Disna Ratnasekera1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1269-1287, 2022, DOI:10.32604/phyton.2022.018983

    Abstract Information on the genetic diversity of wild rice species in Sri Lanka is relatively meagre, though it plays a key role in crop improvement programs of cultivated rice (Oryza sativa L.). The present study was carried out to identify the morphological variation pattern of the wild populations of O. nivara in Sri Lanka. Seven populations (P1 to P7) collected from different agro-ecological regions were characterized in a common garden based on nine morphological traits. The findings revealed a high level of phenotypic variation between populations when compared to within a population. The most variable traits were the flag leaf panicle… More >

  • Open Access

    ARTICLE

    Geographical differentiation of wild pepper (Capsicum annuum L. var. glabriusculum) populations from northwestern Mexico

    López-España RG1, S Hernández-Verdugo1, S Parra-Terraza1, F Porras1, Antonio Pacheco-Olvera1, A Valdez-Ortiz2, T Osuna-Enciso3, MD Muy-Rangel3

    Phyton-International Journal of Experimental Botany, Vol.85, pp. 131-141, 2016, DOI:10.32604/phyton.2016.85.131

    Abstract Wild pepper (Capsicum annuum L. var. glabriusculum) is a valuable genetic resource for food and agriculture. The patterns of variation of 12 morphological traits of 17 populations of wild pepper collected across a latitudinal and climate gradients in northwestern Mexico were analyzed in a uniform greenhouse experiment. The morphological traits data were axamined by univariate and multivarite analysis. The relationship between phenotypic variation and latitude of population origen was tested using linear regression analysis. We found high variation within and among populations for most of the measured traits. Populations were clearly differentiated by univariate analysis of variance and principal component… More >

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