Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jesse Munkvold"'
Autor:
Weidong Wang, Liyang Chen, Kevin Fengler, Joy Bolar, Victor Llaca, Xutong Wang, Chancelor B. Clark, Tomara J. Fleury, Jon Myrvold, David Oneal, Maria Magdalena van Dyk, Ashley Hudson, Jesse Munkvold, Andy Baumgarten, Jeff Thompson, Guohong Cai, Oswald Crasta, Rajat Aggarwal, Jianxin Ma
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
While multiple resistance-to-Phytophthora sojae loci/alleles have been mapped in soybean, many of them have become ineffective to newly evolved isolates. Here, the authors show that a 27.7-kb nucleotide-binding site-leucine-rich repeat gene confers b
Externí odkaz:
https://doaj.org/article/11f43fc56952480a8d06466292eaed54
Autor:
Abdulqader Jighly, Anna Weeks, Brendan Christy, Garry J O’Leary, Surya Kant, Rajat Aggarwal, David Hessel, Kerrie L Forrest, Frank Technow, Josquin F G Tibbits, Radu Totir, German C Spangenberg, Matthew J Hayden, Jesse Munkvold, Hans D Daetwyler
Publikováno v:
Journal of Experimental Botany.
Running crop growth models (CGM) coupled with whole genome prediction (WGP) as a CGM–WGP model introduces environmental information to WGP and genomic relatedness information to the genotype-specific parameters modelled through CGMs. Previous studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac6253dc91d880d803c407abb25dd35
https://doi.org/10.1093/jxb/erad162
https://doi.org/10.1093/jxb/erad162
Autor:
Abdulqader Jighly, Thabo Thayalakumaran, Garry J O’Leary, Surya Kant, Joe Panozzo, Rajat Aggarwal, David Hessel, Kerrie L Forrest, Frank Technow, Josquin F G Tibbits, Radu Totir, Matthew J Hayden, Jesse Munkvold, Hans D Daetwyler
Publikováno v:
Journal of experimental botany.
Crop growth models (CGM) can predict the performance of a cultivar in untested environments by sampling genotype-specific parameters (GSPs). As they cannot predict the performance of new cultivars, it has been proposed to integrate CGMs with whole ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e8d1c90753efb352eee5c185ee6938
https://pubmed.ncbi.nlm.nih.gov/36205117
https://pubmed.ncbi.nlm.nih.gov/36205117
Autor:
Chancelor B. Clark, David Oneal, Tomara J. Fleury, Weidong Wang, Xutong Wang, Kevin Fengler, Andy Baumgarten, Jesse Munkvold, Ashly Hudson, Jeff D. Thompson, Joy Bolar, Guohong Cai, Jianxin Ma, Daleen van Dyk, Jon Myrvold, Oswald Crasta, Liyang Chen, Rajat Aggarwal, Victor Llaca
Phytophthora root and stem rot (PRSR) caused by Phytophthora sojae is the most destructive soybean soil-borne disease worldwide. Discovery of genes conferring broad-spectrum resistance to the pathogen is an urgent need to prevent the outbreak of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0632f7c9736a2bb3c3609e555859fa26
https://doi.org/10.21203/rs.3.rs-654548/v1
https://doi.org/10.21203/rs.3.rs-654548/v1
