Genetic characterization of agronomic traits and grain threshability for organic naked barley in the northern United States

Chris Massman, Brigid Meints, Javier Hernandez, Karl Kunze, Patrick M. Hayes, Mark E. Sorrells, Kevin P. Smith, Julie C. Dawson, Lucia Gutierrez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Naked barley (Hordeum vulgare L.) grain threshes freely from its hull during harvesting and cleaning. Much of the available naked barley germplasm is unadapted to U.S. barley growing regions, and few genotypes have been selected to thrive under organic systems. The goal of this research was to characterize a set of spring naked barley genotypes for agronomic traits in the northern United States under organic conditions and estimate the degree of genotype × environment interaction (GEI). To achieve this goal, a multienvironment trial was conducted over 3 yr. Experiments were grown under organic conditions where traits including grain yield, test weight, plant height, heading date, and threshability were evaluated. Contributions of environment, genotype, and GEI to the phenotypic variance were calculated. In the tested germplasm, test weight, plant height, heading date, and threshability were found to have higher variance attributed to genotypic effects compared to GEI. Grain yield variance attributed to GEI was five times greater than that of genotype alone. Genotype + GEI (GGE) and location-grouping (LG) biplots showed two sets of environments where naked barley genotypes performed similarly. Sensitivity analysis by Finlay–Wilkinson regression found that grain yield was highly sensitive to changes in environment mean yield. These results show that selection for grain yield should be conducted within mega-environments to leverage GEI patterns. Heading date, plant height, test weight, and threshability can be selected across mega-environments.

Original languageEnglish (US)
Pages (from-to)690-703
Number of pages14
JournalCrop Science
Volume62
Issue number2
DOIs
StatePublished - Mar 1 2022

Bibliographical note

Funding Information:
This research was supported by the USDA-OREI grants program 2017-51300-26809 and 2020-51300-32179. This project was also funded by the UW-Madison Center for Integrated Agricultural Systems and the College of Agricultural and Life Sciences (CIAS). The authors would like to thank the editors for their comments.

Funding Information:
This research was supported by the USDA‐OREI grants program 2017‐51300‐26809 and 2020‐51300‐32179. This project was also funded by the UW‐Madison Center for Integrated Agricultural Systems and the College of Agricultural and Life Sciences (CIAS). The authors would like to thank the editors for their comments.

Publisher Copyright:
© 2021 The Authors. Crop Science © 2021 Crop Science Society of America

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