Lander Santos de Oliveira, I. Schuster, E. Novaes, W. A. Pereira
{"title":"SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups","authors":"Lander Santos de Oliveira, I. Schuster, E. Novaes, W. A. Pereira","doi":"10.1590/1984-70332021V21N1A10","DOIUrl":null,"url":null,"abstract":"Abstract Advances in genotyping technologies have transformed the way breeding programs manage their genetic resources. The identification of single nucleotide polymorphisms (SNPs) can improve understanding of the genetic diversity of maize (Zea mays) inbred lines and their classification into heterotic groups, which is useful in determining certain crosses to obtain hybrids with higher yield performance. The genetic diversity of 293 inbred lines was investigated with 5252 SNPs with minor allele frequency (MAF)>5%. There was an average of 525 SNPs per chromosome. Polymorphism information content (PIC) averaged 0.297. The unweighted pair group method with arithmetic mean analysis (UPGMA) and principal component analysis (PCA) based on the genetic distance matrix revealed four similar clusters and high cophenetic correlation coefficients (0.953 and 0.863, respectively). The results showed consistency between genetic distance-based grouping and the heterotic groups previously established using pedigree and topcross information for the inbred lines studied.","PeriodicalId":10763,"journal":{"name":"Crop Breeding and Applied Biotechnology","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Crop Breeding and Applied Biotechnology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1590/1984-70332021V21N1A10","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Advances in genotyping technologies have transformed the way breeding programs manage their genetic resources. The identification of single nucleotide polymorphisms (SNPs) can improve understanding of the genetic diversity of maize (Zea mays) inbred lines and their classification into heterotic groups, which is useful in determining certain crosses to obtain hybrids with higher yield performance. The genetic diversity of 293 inbred lines was investigated with 5252 SNPs with minor allele frequency (MAF)>5%. There was an average of 525 SNPs per chromosome. Polymorphism information content (PIC) averaged 0.297. The unweighted pair group method with arithmetic mean analysis (UPGMA) and principal component analysis (PCA) based on the genetic distance matrix revealed four similar clusters and high cophenetic correlation coefficients (0.953 and 0.863, respectively). The results showed consistency between genetic distance-based grouping and the heterotic groups previously established using pedigree and topcross information for the inbred lines studied.
期刊介绍:
The CBAB – CROP BREEDING AND APPLIED BIOTECHNOLOGY (ISSN 1984-7033) – is the official quarterly journal of the Brazilian Society of Plant Breeding, abbreviated CROP BREED APPL BIOTECHNOL.
It publishes original scientific articles, which contribute to the scientific and technological development of plant breeding and agriculture. Articles should be to do with basic and applied research on improvement of perennial and annual plants, within the fields of genetics, conservation of germplasm, biotechnology, genomics, cytogenetics, experimental statistics, seeds, food quality, biotic and abiotic stress, and correlated areas. The article must be unpublished. Simultaneous submitting to another periodical is ruled out. Authors are held solely responsible for the opinions and ideas expressed, which do not necessarily reflect the view of the Editorial board. However, the Editorial board reserves the right to suggest or ask for any modifications required. The journal adopts the Ithenticate software for identification of plagiarism. Complete or partial reproduction of articles is permitted, provided the source is cited. All content of the journal, except where identified, is licensed under a Creative Commons attribution-type BY. All articles are published free of charge. This is an open access journal.