Corrigendum: Seed Composition and Amino Acid Profiles for Quinoa Grown in Washington State
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
by Craine, E. B., and Murphy, K. M. (2020). Front. Nutr. 7:126. doi: 10.3389/fnut.2020.00126
In the original article, there was a mistake in the legend for Table 1 as published: important citations were not included for the referenced studies. The correct legend appears below.
Table 1 ∣ Site characteristics for each year and location that samples were randomly selected from for chemical analysis. Raw quinoa seed sent for analysis was grown in 2016 and 2017 in western Washington as part of two separate experimental designs (13, 49).
In the original article (Hinojosa et al., 2019; Kellogg and Murphy 2019) was not cited in the article. The citation has now been inserted in **Methods Section**, **Study Region and Field Trials**, **Paragraph one** and should read:
**Raw quinoa seed sent for analysis was grown in 2016 and 2017 in western Washington as part of two separate experimental designs (13, 49). Site characteristics for all locations are summarized in Table 1. In 2016, F5:F6 advanced breeding lines and control varieties were planted on three organic farms in Chimacum (Finnriver Farm; 48°0'29“N 122°46'12”W), Quilcene (Dharma Ridge Organic Farm; 47°55'04.0“N 122°53'23.2”W) and Sequim (Nash's Organic Produce; 48°08'31“N 123°07'19”W) on the Olympic Peninsula. Control varieties included Cherry Vanilla (Wild Garden Seed, Philomath, OR, US), CO407Dave (PI 596293, USDA Plant Introduction, Ames, Iowa) and Kaslaea (Ames 13745, USDA Plant Introduction, Ames, Iowa). At each location, advanced breeding lines and control varieties were planted in single hand-sown plots that measured 4.9 m in length and 40.64 cm from center and were seeded at a rate of 4 g row m−1 in an augmented randomized complete block design (ARCBD). An ARCBD uses control varieties to account for field variation by replicating control varieties across blocks; control varieties can be used as covariates to make spatial adjustments across blocks. This design is useful for evaluating advanced breeding lines when seed quantity is low, land and other resources are limited, and when many advanced breeding lines must be evaluated.**
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
13. Hinojosa L, Kumar N, Gill KS, Murphy KM. Spectral reflectance indices and physiological parameters in quinoa under contrasting irrigation regimes. Crop Sci. (2019) 59:1927–44. doi: 10.2135/cropsci2018.11.0711
49. Kellogg J, Murphy K. Evolutionary participatory quinoa breeding for organic agro-ecosystems in the Pacific Northwest region of the United States. In: Westengen OT, Winge T, editors. Farmers and Plant Breeding: Current Approaches and Perspectives. New York, NY: Issues in Agricultural Biodiversity Series, Routlege Taylor & Francis Group (2019). p. 135–58.
Keywords: quinoa, essential amino acid, limiting, complete protein, protein quality
Citation: Craine EB and Murphy KM (2020) Corrigendum: Seed Composition and Amino Acid Profiles for Quinoa Grown in Washington State. Front. Nutr. 7:605674. doi: 10.3389/fnut.2020.605674
Received: 12 September 2020; Accepted: 05 October 2020;
Published: 09 November 2020.
Edited and reviewed by: Michael Erich Netzel, The University of Queensland, Australia
Copyright © 2020 Craine and Murphy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kevin M. Murphy, email@example.com