Use of Hyperspectral Image Data Outperforms Vegetation Indices in Prediction of Maize Yield-Reference-Cited by-同舟云学术

Use of Hyperspectral Image Data Outperforms Vegetation Indices in Prediction of Maize Yield

Published:2017-07-13 Issue:5 Volume:57 Page:2517-2524
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Aguate Fernando M.¹,Trachsel Samuel²,Pérez Lorena González³,Burgueño Juan⁴,Crossa José⁴,Balzarini Mónica¹,Gouache David⁵,Bogard Matthieu⁵,de los Campos Gustavo⁶

Affiliation:

1. CONICET, Facultad de Ciencias Agropecuarias; Univ. Nacional de Córdoba; Av. Valparaiso s/n cc 509 5000 Córdoba Argentina

2. Global Maize Program-Physiology; International Maize and Wheat Improvement Center (CIMMYT); Carretera México Veracruz, Km 45 Texcoco Estado de Mexico 56237 México

3. Sustainable Intensification Program; Carretera Dr. Norman E. Borlaug Km. 12 Cd. Obregón Sonora 85208 México

4. Biometrics and Statistics Unit, CIMMYT

5. Arvalis Institut Du Végétal; 6 Chemin de la Côté Vieille 31450 Baziège France

6. Epidemiology & Biostatistics Dep.; Michigan State Univ.; 909 Fee Road East Lansing MI 48824

Funder

National Institutes of Health

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2017.01.0007/fullpdf