A robust, high‐throughput method for computing maize ear, cob, and kernel attributes automatically from images-Reference-Cited by-同舟云学术

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A robust, high‐throughput method for computing maize ear, cob, and kernel attributes automatically from images

Published:2016-11-19 Issue:1 Volume:89 Page:169-178
ISSN:0960-7412
Container-title:The Plant Journal
language:en
Short-container-title:Plant J

Author:

Miller Nathan D.¹,Haase Nicholas J.²,Lee Jonghyun¹,Kaeppler Shawn M.²³,Leon Natalia²³,Spalding Edgar P.¹

Affiliation:

1. Department of Botany University of Wisconsin‐Madison 430 Lincoln Drive Madison WI 53706 USA

2. Department of Agronomy University of Wisconsin‐Madison 1575 Linden Drive Madison WI 53706 USA

3. DOE Great Lakes Bioenergy Research Center 445 Henry Mall Madison WI 53706 USA

Funder

National Science Foundation

U.S. Department of Agriculture

Publisher

Wiley

Subject

Cell Biology,Plant Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.13320

Reference37 articles.

1. Quantitative variation in maize kernel row number is controlled by the FASCIATED EAR2 locus

2. Latent developmental and evolutionary shapes embedded within the grapevine leaf

3. Divergent Mass Selection for Ear Length in Maize 1

4. Maize association population: a high-resolution platform for quantitative trait locus dissection

5. Characterizing Floral Symmetry in the Core Goodeniaceae with Geometric Morphometrics

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