Machine Learning Approach for Predicting Flowering Days in Sorghum

Author:

Nishimwe Aime1ORCID,Zwiener Mackenzie1,Grzybowski Marcin1,Ge Yufeng1,Schnable James C1

Affiliation:

1. University of Nebraska-Lincoln

Funder

National Institute of Health and Medical Research

National Science Foundation

Foundation for Food and Agriculture Research

Biological and Environmental Research

Publisher

Wiley

Reference27 articles.

1. Performance of sorghum varieties in potohar region;Nazir H.;Gomal University Journal of Research,2011

2. Zwiener M. "Phenotypic plasticity of diverse sorghum varieties in response to nitrogen deficit stress " (2021).

3. Energy sorghum hybrids: functional dynamics of high nitrogen use efficiency;Olson S. N.;Biomass and Bioenergy,2013

4. Sorghum (sorghum bicolor) varieties adopt strongly contrasting strategies in response to drought;Ogbaga C. C.;Physiologia plantarum,2014

5. Nitrate reductase activity of diverse grain sorghum genotypes and its relationship to nitrogen use efficiency;Traore A.;Agronomy Journal,1999

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