Abstract:Eighteen Lupinus albus L. accessions were provided by the National Gene Bank (NGB), Agriculture Research Center (ARC), Giza, Egypt. Accession numbers, collection dates and sites are listed in Table (1). The two cultivars Giza 1 and Giza 2 were developed through individual selection from local landraces; Giza 1 is adapted for cultivation in northern region of Egypt, whereas Giza 2 is adapted for Upper Egypt region planting. Both cultivars are tolerant to wilt disease (Hefny, 2011). The local commercial varietie… Show more
“…In study of Raman et al (2008) using Intron-Targeted Amplified Polymorphisms (ITAPs), SSR motifs, and DArT markers reported that Australian cultivars and breeding lines were clustered and tended to be distinct from European landraces. EL-Sherif et al (2014) estimated genetic relationships among eighteen white lupin (Lupinus albus L.) genotypes, using ISSR and AFLP markers. They found that some genotypes represent a relation to their distribution position also Giza2 cultivar and landrace from Sohag are clustered together.…”
Field Evaluation of eighteen lupin genotypes was carried out during 2012/13 and 2013/14 at Giza Agriculture Research Station, Egypt, to assess the genetic variation on phenological parameters. Simultaneously, molecular diversity assessment was performed using 11 SRAP primer pair combinations. High significant differences among genotypes were observed for field performance during the two seasons and their combined data. The Australian genotype 75 B9.10 and landrace Fayed1 recorded the highest seed yield/plant while the Egyptian landraces Sohag2, Fayed1 and the cultivar Giza1 were superiors in seed yield/hectare (2.8, 2.6 and 2.6t, respectively). Only the first two principle components explained 97 % of variability. Characters, number of pods, seed yield/plant and seed yield/hectare were grouped on the positive PC1 axis of the biplot with genotypes Sohag2, 75B9.10 and Fayed1. The molecular analysis revealed coherent results. The 11 SRAP primers generated 3286 amplified fragments represents 337 genetic loci across the lupin genome. The average detected loci per primer pair was 30.64 with 322 polymorphic loci across the studied genotypes (96.05%). The polymorphism information content (PIC) values were generally high and ranged from 0.883 to 0.981. The high PIC values highlight the power of SRAP markers in detecting the molecular diversity in lupin genotypes. The genotypes tended to cluster based on their origin and genetic background.
“…In study of Raman et al (2008) using Intron-Targeted Amplified Polymorphisms (ITAPs), SSR motifs, and DArT markers reported that Australian cultivars and breeding lines were clustered and tended to be distinct from European landraces. EL-Sherif et al (2014) estimated genetic relationships among eighteen white lupin (Lupinus albus L.) genotypes, using ISSR and AFLP markers. They found that some genotypes represent a relation to their distribution position also Giza2 cultivar and landrace from Sohag are clustered together.…”
Field Evaluation of eighteen lupin genotypes was carried out during 2012/13 and 2013/14 at Giza Agriculture Research Station, Egypt, to assess the genetic variation on phenological parameters. Simultaneously, molecular diversity assessment was performed using 11 SRAP primer pair combinations. High significant differences among genotypes were observed for field performance during the two seasons and their combined data. The Australian genotype 75 B9.10 and landrace Fayed1 recorded the highest seed yield/plant while the Egyptian landraces Sohag2, Fayed1 and the cultivar Giza1 were superiors in seed yield/hectare (2.8, 2.6 and 2.6t, respectively). Only the first two principle components explained 97 % of variability. Characters, number of pods, seed yield/plant and seed yield/hectare were grouped on the positive PC1 axis of the biplot with genotypes Sohag2, 75B9.10 and Fayed1. The molecular analysis revealed coherent results. The 11 SRAP primers generated 3286 amplified fragments represents 337 genetic loci across the lupin genome. The average detected loci per primer pair was 30.64 with 322 polymorphic loci across the studied genotypes (96.05%). The polymorphism information content (PIC) values were generally high and ranged from 0.883 to 0.981. The high PIC values highlight the power of SRAP markers in detecting the molecular diversity in lupin genotypes. The genotypes tended to cluster based on their origin and genetic background.
“…The conservation and preservation of the genetic resources of this species were of crucial importance for the breeding programs related to the improvement of the cultivar composition in the white lupine (Raza and Jornsgard, 2005;El-Sherif et al, 2014).…”
Collecting, exploring and using a suitable, genetically diverse source material with different ecological-geographical origin is a determining prerequisite for the breeding success. The present study was conducted during the 2014-2016 period at the Institute of Forage Crops (Pleven, Bulgaria) with 23 cultivars of white lupine originating Poland, Russia and Ukraine. It was found a significant genetic diversity among the studied cultivars, which was a good prerequisite for starting a breeding program within the crop. The most favorable combination of a high seed productivity and crude protein content had cultivars 'Tel Keram', 'Pflugs Ultra', 'WAT', 'Solnechnii' and 'Pink Mutant', whose plants were also characterized by a mass of 1,000 seeds between 15 and 21 g. Genetically, the most distant from each other were 'Bezimenii 1' and 'Pflugs Ultra' compared to 'Termis Mestnii' and 'Solnechnii' as well as to 'Tel Keram'. These cultivars are suitable as genitors for the development of high-yielding white lupine cultivars. Studied traits of pod length, number of seeds in a pod and seeds per plant showed a high positive phenotypic and genotypic correlation with the seed productivity in white lupine. Regarding productivity, it can be rely upon the mass of 1,000 seeds, plant height and number of seeds per plant due to their high total effect on the seed weight per plant.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.