Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Timothy M. Beissinger"'
Autor:
Sarah D. Turner-Hissong, Kevin A. Bird, Alexander E. Lipka, Elizabeth G. King, Timothy M. Beissinger, Ruthie Angelovici
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 11, Pp 4227-4239 (2020)
Plant growth, development, and nutritional quality depends upon amino acid homeostasis, especially in seeds. However, our understanding of the underlying genetics influencing amino acid content and composition remains limited, with only a few candida
Externí odkaz:
https://doaj.org/article/78b25bc49226433da293dc69e2f7c3fe
Autor:
Abiskar Gyawali, Vivek Shrestha, Katherine E. Guill, Sherry Flint-Garcia, Timothy M. Beissinger
Publikováno v:
BMC Plant Biology, Vol 19, Iss 1, Pp 1-15 (2019)
Abstract Background Genome wide association studies (GWAS) are a powerful tool for identifying quantitative trait loci (QTL) and causal single nucleotide polymorphisms (SNPs)/genes associated with various important traits in crop species. Typically,
Externí odkaz:
https://doaj.org/article/3e93269caa09448487fc3927c9f3e4b4
Autor:
Cathy C. Westhues, Gregory S. Mahone, Sofia da Silva, Patrick Thorwarth, Malthe Schmidt, Jan-Christoph Richter, Henner Simianer, Timothy M. Beissinger
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
The development of crop varieties with stable performance in future environmental conditions represents a critical challenge in the context of climate change. Environmental data collected at the field level, such as soil and climatic information, can
Externí odkaz:
https://doaj.org/article/17737aeb89214a10bc7bc10c5ba2deca
Autor:
Li Wang, Timothy M. Beissinger, Anne Lorant, Claudia Ross-Ibarra, Jeffrey Ross-Ibarra, Matthew B. Hufford
Publikováno v:
Genome Biology, Vol 18, Iss 1, Pp 1-13 (2017)
Abstract Background The history of maize has been characterized by major demographic events, including population size changes associated with domestication and range expansion, and gene flow with wild relatives. The interplay between demographic his
Externí odkaz:
https://doaj.org/article/d2748975009f4972b5942e1016d2bceb
Publikováno v:
Journal of Open Research Software, Vol 7, Iss 1 (2019)
Patterns of linkage disequilibrium (LD) across the genome result from a myriad of contributing factors including selection and genetic drift. Natural selection can increase LD near individually selected loci, or it can influence LD between epistatica
Externí odkaz:
https://doaj.org/article/f5723e4c151c4d3095e661f509d5bef2
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 6, Iss 8, Pp 2447-2453 (2016)
Biomedical vocabularies and ontologies aid in recapitulating biological knowledge. The annotation of gene products is mainly accelerated by Gene Ontology (GO), and more recently by Medical Subject Headings (MeSH). Here, we report a suite of MeSH pack
Externí odkaz:
https://doaj.org/article/461078e1b0bc4ebe914d21d8434a384c
Autor:
Daniel R Kick, Jason G Wallace, James C Schnable, Judith M Kolkman, Barış Alaca, Timothy M Beissinger, Jode Edwards, David Ertl, Sherry Flint-Garcia, Joseph L Gage, Candice N Hirsch, Joseph E Knoll, Natalia de Leon, Dayane C Lima, Danilo E Moreta, Maninder P Singh, Addie Thompson, Teclemariam Weldekidan, Jacob D Washburn
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 4 (2023)
AbstractAccurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The
Externí odkaz:
https://doaj.org/article/3157924c6afe4765a3f56d3119412958
Publikováno v:
Genetic Resources and Crop Evolution. 70:1085-1095
A collection of 46 pea (Pisum sativum L.) accessions, mostly from Europe, were analysed for genetic diversity using the GenoPea 13.2 K SNP Array chip. Of these accessions were 24 nomal-leaved and 22 semi-leafless. Principal components analysis (PCA)
Publikováno v:
G3 Genes|Genomes|Genetics. 12
We introduce the R-package learnMET, developed as a flexible framework to enable a collection of analyses on multi-environment trial (MET) breeding data with machine learning-based models. learnMET allows the combination of genomic information with e
Autor:
Daniel R. Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Barış Alaca, Timothy M. Beissinger, David Ertl, Sherry Flint-Garcia, Joseph L. Gage, Candice N. Hirsch, Joseph E. Knoll, Natalia de Leon, Dayane C. Lima, Danilo Moreta, Maninder P. Singh, Teclemariam Weldekidan, Jacob D. Washburn
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The past dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::479389d7a1bc782fe39bce31e77ffb56
https://doi.org/10.1101/2022.07.29.502051
https://doi.org/10.1101/2022.07.29.502051