Integrating genetic gain and gap analysis to predict improvements in crop productivity-Reference-Cited by-同舟云学术

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Integrating genetic gain and gap analysis to predict improvements in crop productivity

Published:2020-03 Issue:2 Volume:60 Page:582-604
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Cooper Mark¹^ORCID,Tang Tom²,Gho Carla³,Hart Tim²,Hammer Graeme¹^ORCID,Messina Carlos²^ORCID

Affiliation:

1. Queensland Alliance for Agriculture and Food Innovation, Centre for Crop Science University of Queensland Brisbane QLD 4072 Australia

2. Research and Development Corteva Agriscience Johnston IA 50131 USA

3. Viluco Experiment Station Corteva Agriscience Santa Filomena 1609, PO Box 267 Buin Chile

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20109

Reference58 articles.

1. Predicting crop yields and soil‐plant nitrogen dynamics in the U.S. corn belt;Archontoulis S. V.;Crop Science,2020

2. Analysis of long‐term study indicates both agronomic optimal plant density and increase maize yield per plant contributed to yield gain;Assefa Y.;Scientific Reports,2018

3. The U.S. drought of 2012 in perspective: A call to action

4. Changes in drought tolerance in maize associated with fifty year of breeding for yield in the U.S. corn belt;Campos H.;Maydica,2006

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