Genotype × environment interaction and stability of β‐glucan content in barley in the Palouse region of eastern Washington

Abstract

Genotype by environment (G × E) interactions for the dietary fiber β‐glucan, one of the deciding factors for the end use of barley (Hordeum vulgare L.) grain, are not well understood. The objectives of this study were (a) to investigate G × E interactions for β‐glucan content of diverse barley genotypes across dryland grain‐producing environments in eastern Washington, and (b) to determine the range and stability of β‐glucan content exhibited across precipitation zones. We examined 17 two‐row, spring barley varieties and breeding lines across eight locations for β‐glucan, protein, and yield in 2017 and 2018. β‐glucan ranged from 1.81 to 7.18 (%, w/w), with a mean of 4.01 (%, w/w). Genotype × year (Y), G × location (L), L × Y, and G × E (G × L × Y) interactions were found for β‐glucan. Univariate models including the regression model with slope (bi) and deviation from regression (Sd2), Wricke's ecovalence stability index (Wi2), and Shukla's stability variance (σi2) agreed that there was moderate rank stability amongst genotypes. Data generated through this research will provide a better understanding of which cultivars that farmers can grow in their area will meet industry targets and standards for both food and malt barley.

Effect of Nitrogen and Seeding Rate on β-Glucan, Protein, and Grain Yield of Naked Food Barley in No-Till Cropping Systems in the Palouse Region of the Pacific Northwest

“…The standard error of cross-calibration (SEVC) was 0.525 and the RMSEC was 0.533. Honig's regression value (R 2 = 0.81) verified a strong correlation between NIR spectra predicted β-glucan and wet chemistry analysis (Choi et al, 2020). Shapiro-Wilk normality test on the β-glucan residuals resulted in a p-value of 0.4186 indicating no significant difference from the normal curve.…”

“…Each experimental unit was analyzed for its contents of β-glucan and protein on a dry basis using previously calibrated near-infrared spectroscopy (NIR) (Perten DA 7250, Hägersten, Sweden). Values obtained from wet chemistry using a Megazyme enzymatic assay kit for mixed β-glucan linkage was used to calibrate the NIR (Choi et al, 2020). Briefly, 452 barley genotypes (including those used in this study) with a range of 2.7-10.9% β-glucan were used to calibrate the NIR.…”

“…Cultivar, environmental factors, and nitrogen fertilization have been reported to affect yield, chemical composition, and grain quality of barley (Widdowson et al, 1982;Åman and Newman, 1986;Knudsen et al, 1987;Conry, 1994;Zhang et al, 2001;Anker-Nilssen et al, 2008;Choi et al, 2020). β-glucan and protein are major components of barley (Åman et al, 1985).…”

Genotype by Environment Interactions in Barley (Hordeum vulgare L.) Cultivars for Nutritional Quality Assessment

“…The interactions of GEIs with the dietary fiber β-glucan which is one of the decisive elements in the final usage of barley (Hordeum vulgare L.) grain is remain unknown. Choi, Esser, & Murphy (2020) stated that the content of dietary fiber β-glucan was affected by genetics and non-genetic variables. Thy are primarily responsible for the variations in total soluble and insoluble dietary fibre content, which is also influenced by bran thickness, grain size and shape.…”

Utilization of Evolutionary Plant Breeding Increases Stability and Adaptation of Winter Wheat Across Diverse Precipitation Zones

“…Multiple stability analyses ned to be used because no single stability measure can adequately explain genotype performance over multiple environments [51]. Stability analyses can be correlated for a trait in question, and therefore different types of stability analysis must be used [52]. The four major benefits of genetic diversity that aid in stability are complementation, cooperation, compensation, and capacity [3].…”