Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat
Type:
Title:
Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat
Author:
Rutkoski, J.;
Poland, J.;
Mondal, S.;
Autrique, E.;
Gonzalez-Perez, L.;
Crossa, J.;
Reynolds, M.P.;
https://orcid.org/0000-0002-4291-4316
Scopus ID
Researcher ID
Items in this Repository
View
Singh, R.G.
Poland, J.;
Mondal, S.;

Autrique, E.;
Gonzalez-Perez, L.;
Crossa, J.;

Reynolds, M.P.;

Reynolds, M.P.



View
Singh, R.G.

Year:
2016
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Journal:
G3: Genes, Genomes, Genetics
Journal volume:
6
Journal issue:
9
Pages:
2799-2808
Place of Publication:
Bethesda, MD
Publisher:
Genetics Society of America
Citation:
Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat. 2016. Rutkoski, J.; Poland, J.; Mondal, S.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J.; Reynolds, M.P.; Singh, R.G. 6 (9) DOI: 10.1534/g3.116.032888 Genetics Society of America.