Phenomic selection and prediction of maize grain yield from near‐infrared reflectance spectroscopy of kernels-Reference-Cited by-同舟云学术

Phenomic selection and prediction of maize grain yield from near‐infrared reflectance spectroscopy of kernels

Published:2020-01 Issue:1 Volume:3 Page:
ISSN:2578-2703
Container-title:The Plant Phenome Journal
language:en
Short-container-title:Plant phenome j.

Author:

Lane Holly M.¹^ORCID,Murray Seth C.¹^ORCID,Montesinos‑López Osval A.²^ORCID,Montesinos‑López Abelardo³,Crossa José⁴^ORCID,Rooney David K.¹,Barrero‐Farfan Ivan D.¹,De La Fuente Gerald N.¹^ORCID,Morgan Cristine L. S.¹⁵^ORCID

Affiliation:

1. Department of Soil and Crop Sciences Texas A&M Univ. College Station TX 77843‐2474 USA

2. Facultad de Telemática Universidad de Colima Colima Colima 28040 México

3. Departamento de Matemáticas Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara Guadalajara Jalisco 44430 México

4. Biometrics and Statistics Unit International Maize and Wheat Improvement Center (CIMMYT) México City Mexico

5. Current address: Soil Health Institute 2803 Slater Road, Suite 115 Morrisville NC 27560 USA

Funder

Texas A and M University

National Institute of Food and Agriculture

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppj2.20002

Reference55 articles.

1. Four Parent Maize (FPM) Population: Effects of Mating Designs on Linkage Disequilibrium and Mapping Quantitative Traits

2. Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems