Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mulusew Fikere"'
Autor:
Mihret Yirgu, Mulugeta Kebede, Tileye Feyissa, Berhane Lakew, Aemiro Bezabih Woldeyohannes, Mulusew Fikere
Publikováno v:
BMC Genomic Data, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background High-density single nucleotide polymorphisms (SNPs) are the most abundant and robust form of genetic variants and hence make highly favorable markers to determine the genetic diversity and relationship, enhancing the selection of
Externí odkaz:
https://doaj.org/article/a127038adf894108a76c669c2fde5407
Autor:
Craig M. Hardner, Mulusew Fikere, Ksenija Gasic, Cassia da Silva Linge, Margaret Worthington, David Byrne, Zena Rawandoozi, Cameron Peace
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Genotype-by-environment interaction (G × E) is a common phenomenon influencing genetic improvement in plants, and a good understanding of this phenomenon is important for breeding and cultivar deployment strategies. However, there is little informat
Externí odkaz:
https://doaj.org/article/e723f7dacbda41dd98fb6775b569e95f
Autor:
Mulusew Fikere, Denise M. Barbulescu, M. Michelle Malmberg, Pankaj Maharjan, Phillip A. Salisbury, Surya Kant, Joe Panozzo, Sally Norton, German C. Spangenberg, Noel O. I. Cogan, Hans D. Daetwyler
Publikováno v:
Plants, Vol 9, Iss 6, p 719 (2020)
Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information. Here we report genetic correlations and genomic prediction accuracies in 22 a
Externí odkaz:
https://doaj.org/article/28763413f6064b55b637bac838f4bb37
Autor:
Mulusew Fikere, Denise M. Barbulescu, Michelle M. Malmberg, Fan Shi, Joshua C.O. Koh, Anthony T. Slater, Iona M. MacLeod, Phillip J. Bowman, Phillip A. Salisbury, German C. Spangenberg, Noel O.I. Cogan, Hans D. Daetwyler
Publikováno v:
The Plant Genome, Vol 11, Iss 2 (2018)
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic predictio
Externí odkaz:
https://doaj.org/article/fb04fe4496e34ba4a72a634984a37f05
Autor:
Ali, Mulusew Fikere
Submission note: Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy to the School of Applied Systems Biology, College of Science, Health and Engineering, La Trobe University, Victoria.Due to file size, this thesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a370f84512771930a33b979fffdfa67
Autor:
Denise M. Barbulescu, M. Michelle Malmberg, German Spangenberg, Hans D. Daetwyler, Mulusew Fikere, Noel O. I. Cogan
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Blackleg disease causes yield losses in canola (Brassica napus L.). To identify resistance genes and genomic regions, genome-wide association studies (GWAS) of 585 diverse winter and spring canola accessions were performed using imputed whole-genome
Autor:
Denise M. Barbulescu, M. Michelle Malmberg, Philip A. Salisbury, German Spangenberg, Pankaj Maharjan, Joe Panozzo, Hans D. Daetwyler, Surya Kant, Noel O. I. Cogan, Mulusew Fikere, Sally L. Norton
Publikováno v:
Plants
Volume 9
Issue 6
Plants, Vol 9, Iss 719, p 719 (2020)
Volume 9
Issue 6
Plants, Vol 9, Iss 719, p 719 (2020)
Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information. Here we report genetic correlations and genomic prediction accuracies in 22 a
Publikováno v:
African Journal of Agricultural Research. 9:2574-2583
Sixteen field pea (Pisum sativum L.) genotypes were evaluated using Randomized Complete Block Design (RCBD) with four replications for evaluating genotype x environment interaction (GEI) and yield stability across 12 environments during 2004 to 2006
Autor:
Anthony Slater, Denise M. Barbulescu, M. Michelle Malmberg, Phillip A. Salisbury, Fan Shi, Noel O. I. Cogan, Hans D. Daetwyler, Iona M. MacLeod, Joshua C. O. Koh, Phillip J. Bowman, German Spangenberg, Mulusew Fikere
Publikováno v:
The Plant Genome, Vol 11, Iss 2 (2018)
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic predictio