Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize-Reference-Cited by-同舟云学术

Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize

Published:2021-05-19 Issue:2 Volume:14 Page:
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:Plant Genome

Author:

Adak Alper¹^ORCID,Murray Seth C.¹,Anderson Steven L.²,Popescu Sorin C.³,Malambo Lonesome³,Romay M. Cinta⁴,Leon Natalia⁵

Affiliation:

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

2. Dept. of Environmental Hort., Institute of Food and Agricultural Sciences, Mid‐Florida Research and Education Center University of Florida Apopka FL USA

3. Dept. of Ecosystem Science and Management Texas A&M Univ. College Station TX 77843‐2120 USA

4. Institute for Genomic Diversity Cornell University Ithaca NY USA

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

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tpg2.20102

Reference94 articles.

1. Role of superoxide dismutases (SODs) in controlling oxidative stress in plants

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

3. R/UAStools::plotshpcreate: Create multi‐polygon shapefiles for extraction of research plot scale agriculture remote sensing data;Anderson S. L.;Frontiers in Plant Science,2020

4. Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci

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

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