TY - JOUR ID - 3131 TI - Identification of Inter simple sequence repeat regions associated with agro-morphological traits in maize genome JO - Cereal Research JA - CR LA - en SN - 2252-0163 AU - Ghafari Azar, Ali AU - Darvishzadeh, Reza AU - Hatami Maleki, Hamid AU - Kahrizi, Danial AU - Darvishi, Babak AU - Bernousi, Iraj AD - M.Sc. in Agricultural Biotechnology, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia University, Urmia, Iran AD - Professor, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran AD - Assistant Professor, Department of Plant Genetics and Production, Faculty of Agriculture, University of Maragheh, Maragheh, Iran AD - Associate Professor, Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Razi, Kermanshah, Iran AD - Assistant Professor, Seed and Plant Certification and Registration Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran AD - Associate Professor, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran Y1 - 2018 PY - 2018 VL - 8 IS - 1 SP - 97 EP - 109 KW - Germplasm KW - Molecular markers KW - QTL mapping KW - Quantitative traits DO - 10.22124/c.2018.8211.1322 N2 - Maize (Zea mays L.) as a model plant is important from agricultural, feed and industrial point view. Most of economically important traits and morphological traits are controlled by several genes and also influenced by environment effects and hence possessed complicated genetic control. This research was aimed to study the genetic control and identification of genomic regions controlling agro-morphological traits in maize germplasm using association analysis approach. Maize inbred lines were evaluated based on morphological and 16 ISSR primers. Results of morphological and genetically evaluations trials revealed existence of genetic variability in the studied germplasm which is mandatory item for successful association analysis study. Analysis of population structure using 81 ISSR loci divided the population into 2 sub-populations. Among studied lines, lines 1387/193/chase (Mashhad population) and 66*1388 (Mashhad population) showed maximum genetic admixture. Association analysis using MLM model represented 25 ISSR loci which possessed significant relation with studied traits. Positive markers identified in this research, could effectively applied in marker assisted selection programs to achieve suitable parental lines and also improvement of trait of interest. Also, this is resulted that inter simple sequence regions have acceptable ability and performance in association mapping of maize. UR - https://cr.guilan.ac.ir/article_3131.html L1 - https://cr.guilan.ac.ir/article_3131_e62c94ed14e022f91516dbc67be74d5a.pdf ER -