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Title: TIPS: A system for automated image-based phenotyping of maize tassels

Abstract

Here, the maize male inflorescence (tassel) produces pollen necessary for reproduction and commercial grain production of maize. The size of the tassel has been linked to factors affecting grain yield, so understanding the genetic control of tassel architecture is an important goal. Tassels are fragile and deform easily after removal from the plant, necessitating rapid measurement of any shape characteristics that cannot be retained during storage. Some morphological characteristics of tassels such as curvature and compactness are difficult to quantify using traditional methods, but can be quantified by image-based phenotyping tools. Lastly, these constraints necessitate the development of an efficient method for capturing natural-state tassel morphology and complementary automated analytical methods that can quickly and reproducibly quantify traits of interest such as height, spread, and branch number.

Authors:
 [1];  [1];  [1];  [1];  [1]
  1. Univ. of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1361176
Grant/Contract Number:  
FC02-07ER64494
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Plant Methods
Additional Journal Information:
Journal Volume: 13; Journal Issue: 1; Journal ID: ISSN 1746-4811
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; Zea mays L.; tassel; image analysis; phenotyping; high-throughput; inflorescence

Citation Formats

Gage, Joseph L., Miller, Nathan D., Spalding, Edgar P., Kaeppler, Shawn M., and de Leon, Natalia. TIPS: A system for automated image-based phenotyping of maize tassels. United States: N. p., 2017. Web. doi:10.1186/s13007-017-0172-8.
Gage, Joseph L., Miller, Nathan D., Spalding, Edgar P., Kaeppler, Shawn M., & de Leon, Natalia. TIPS: A system for automated image-based phenotyping of maize tassels. United States. doi:10.1186/s13007-017-0172-8.
Gage, Joseph L., Miller, Nathan D., Spalding, Edgar P., Kaeppler, Shawn M., and de Leon, Natalia. Fri . "TIPS: A system for automated image-based phenotyping of maize tassels". United States. doi:10.1186/s13007-017-0172-8. https://www.osti.gov/servlets/purl/1361176.
@article{osti_1361176,
title = {TIPS: A system for automated image-based phenotyping of maize tassels},
author = {Gage, Joseph L. and Miller, Nathan D. and Spalding, Edgar P. and Kaeppler, Shawn M. and de Leon, Natalia},
abstractNote = {Here, the maize male inflorescence (tassel) produces pollen necessary for reproduction and commercial grain production of maize. The size of the tassel has been linked to factors affecting grain yield, so understanding the genetic control of tassel architecture is an important goal. Tassels are fragile and deform easily after removal from the plant, necessitating rapid measurement of any shape characteristics that cannot be retained during storage. Some morphological characteristics of tassels such as curvature and compactness are difficult to quantify using traditional methods, but can be quantified by image-based phenotyping tools. Lastly, these constraints necessitate the development of an efficient method for capturing natural-state tassel morphology and complementary automated analytical methods that can quickly and reproducibly quantify traits of interest such as height, spread, and branch number.},
doi = {10.1186/s13007-017-0172-8},
journal = {Plant Methods},
issn = {1746-4811},
number = 1,
volume = 13,
place = {United States},
year = {2017},
month = {3}
}

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Works referencing / citing this record:

TIPS: a system for automated image-based phenotyping of maize tassels [Supplemental Data]
figure, March 2017

  • Gage, Joseph; Miller, Nathan; Spalding, Edgar
  • figshare-Supplementary information for journal article at DOI: 10.1186/s13007-017-0172-8, 1 DOCX file (27.04 kB)
  • DOI: 10.6084/m9.figshare.c.3730990