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Xianming Wei
Observed names:
Wei, X,
Xian-ming Wei
Institution:
Shandong Agricultural University
Observed institutions:
Commonwealth Scientific and Industrial Research Organisation,
University of Tasmania,
Plant Industry,
Sugar Research Australia (Australia),
Lasers, Plasmas et Procédés Photoniques,
Shandong Agricultural University
show all 6
OpenAlex ID:
A5109011416
Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection
2020
·
Seema Yadav
, Phillip Jackson
, et al.
·
Agronomy
·
116
PDF
Associations between DNA markers and resistance to diseases in sugarcane and effects of population substructure
2006
·
Xianming Wei
, Phillip A. Jackson
, et al.
·
Theoretical and Applied Genetics
·
116
Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials
2007
·
Helena Oakey
, Arūnas P. Verbyla
, et al.
·
Theoretical and Applied Genetics
·
87
Varietal selection for perennial crops where data relate to multiple harvests from a series of field trials
2007
·
Alison Barbara Smith
, Joanne K. Stringer
, et al.
·
Euphytica
·
80
Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects
2021
·
Seema Yadav
, Xianming Wei
, et al.
·
Theoretical and Applied Genetics
·
66
PDF
Genomic prediction of sugar content and cane yield in sugar cane clones in different stages of selection in a breeding program, with and without pedigree information
2020
·
Emily Deomano
, Phillip Jackson
, et al.
·
Molecular Breeding
·
62
Accuracy of genomic prediction of complex traits in sugarcane
2021
·
Ben J. Hayes
, Xianming Wei
, et al.
·
Theoretical and Applied Genetics
·
59
Simultaneously accounting for population structure, genotype by environment interaction, and spatial variation in marker–trait associations in sugarcaneThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.
2010
·
Xianming Wei
, Phillip A. Jackson
, et al.
·
Genome
·
59
High-Throughput Phenotyping of Indirect Traits for Early-Stage Selection in Sugarcane Breeding
2019
·
Sijesh Natarajan
, Jayampathi Basnayake
, et al.
·
Remote Sensing
·
57
PDF
An investigation to estimate genetic parameters in CSIRO's table grape breeding program. 2. Quality characteristics
2002
·
Xianming Wei
, Stephen R. Sykes
, et al.
·
Euphytica
·
47
Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding
2021
·
Kai P. Voss-Fels
, Xianming Wei
, et al.
·
Theoretical and Applied Genetics
·
32
Breed identification using breed-informative SNPs and machine learning based on whole genome sequence data and SNP chip data
2023
·
Changheng Zhao
, Dan Wang
, et al.
·
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
·
28
PDF
Use of Individual Tree Mixed Models to Account for Mortality and Selective Thinning When Estimating Base Population Genetic Parameters
1998
·
Xianming Wei
, Nuno M. G. Borralho
·
Forest Science
·
28
Applications of Quantitative Genetics and Statistical Analyses in Sugarcane Breeding
2021
·
Jean-Yves Hoarau
, Thomas Dumont
, et al.
·
Sugar Tech
·
23
PDF
Combining genomic selection with genome-wide association analysis identified a large-effect QTL and improved selection for red rot resistance in sugarcane
2022
·
Anthony O’Connell
, Jasmin Deo
, et al.
·
Frontiers in Plant Science
·
22
A linkage disequilibrium-based approach to position unmapped SNPs in crop species
2021
·
Seema Yadav
, Elizabeth M. Ross
, et al.
·
BMC Genomics
·
20
PDF
Sugarcane Breeding in Australia
2021
·
Xianming Wei
, Jason Eglinton
, et al.
·
Sugar Tech
·
20
Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches
2024
·
Chensong Chen
, Shamsul A. Bhuiyan
, et al.
·
Frontiers in Plant Science
·
19
PDF
Population structure and breed identification of Chinese indigenous sheep breeds using whole genome SNPs and InDels
2024
·
Chang-heng Zhao
, Dan Wang
, et al.
·
Genetics Selection Evolution
·
18
PDF
Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits
2023
·
Chensong Chen
, Owen Powell
, et al.
·
The Plant Genome
·
18
Use of continuous genotypes for genomic prediction in sugarcane
2023
·
Seema Yadav
, Elizabeth M. Ross
, et al.
·
The Plant Genome
·
15
PDF
Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies
2023
·
Seema Yadav
, Elizabeth M. Ross
, et al.
·
Frontiers in Plant Science
·
14
Genetic gains and levels of relatedness from best linear unbiased prediction selection of Eucalyptus urophylla for pulp production in southeastern China
2000
·
Xianming Wei
, Nuno M.G. Borralho
·
Canadian Journal of Forest Research
·
10
Relative economic genetic value (rEGV) - an improved selection index to replace Net Merit Grade (NMG) in the Australian sugarcane variety improvement program.
2008
·
Xianming Wei
, Phillip Jackson
, et al.
·
9
Development of a high-throughput, low-cost SNP genotyping panel for sugarcane breeding
2017
·
Meredith D. McNeil
, George Piperidis
, et al.
·
7
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Works count:
37
Citation count:
1,067
H-index:
18
I10-index:
23
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