Building Field-Based Ecophysiological Genome-to-Phenome Prediction

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dc.contributor.author Albin, N.
dc.contributor.author Alderman, P.
dc.contributor.author Bello, N.
dc.contributor.author Chen, C.
dc.contributor.author Duke, L.
dc.contributor.author Flippo, D.
dc.contributor.author Fondjo-Fotou, F.
dc.contributor.author Fritz, A.
dc.contributor.author Hettiarachchi, G.
dc.contributor.author Howard, C.
dc.contributor.author Jagadish, K.
dc.contributor.author Kulesza, S.
dc.contributor.author Poland, J.
dc.contributor.author Santos, E.
dc.contributor.author Snow, J.
dc.contributor.author Welch, S.
dc.contributor.author Yan, L.
dc.date.accessioned 2019-03-22T21:56:28Z
dc.date.available 2019-03-22T21:56:28Z
dc.date.issued 2019-03-07
dc.identifier.uri http://hdl.handle.net/2097/39458
dc.description.abstract Feeding the estimated global population of 9 billion persons by 2050 will require a doubling of the food supply. However, the annual yield rates of gain for major grain crops is only one-quarter to one half of that which is necessary to reach this target. Remedying this deficit necessitates drastic improvements in the ability to predict crop field behavior based on its genetics and the growth environment. This is critical both for breeding programs and for efficient management in farmers’ fields after new varieties are released. This project aims to increase the capacity of Kansas and Oklahoma to conduct research on quantitative prediction methodologies using wheat as a model crop plant
dc.language.iso en_US
dc.rights This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.uri http://rightsstatements.org/vocab/InC/1.0/
dc.title Building Field-Based Ecophysiological Genome-to-Phenome Prediction
dc.type Image
dc.date.published 2019
dc.citation.ctitle 2019 Global Food Systems Focus Day. Manhattan, KS: Kansas State University, Global Food Systems Initiative.
dc.description.conference 2019 Global Food Systems Focus Day. Manhattan, KS: Kansas State University, Global Food Systems Initiative.


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This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). Except where otherwise noted, the use of this item is bound by the following: This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

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