Effects of Field Processing of Sorghum Grain on Popping Traits

Kent, Mitchell A.; Rooney, William L.

doi:10.3390/agronomy11050839

Cited by 2 publications

(1 citation statement)

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“…All grain was tempered to 15% moisture prior to popping to optimize popping potential of all samples (Gaul & Rayas‐Duarte, 2008). The popping method described by Kent and Rooney (2021) was followed, where 500 kernels of each sample were popped in two different modified popcorn poppers (Presto Orville Redenbacher's Hot Air Popper), and the un‐popped kernels (UPK) were classified as the kernels that passed through a 4.8‐mm sieve. Popping performance was measured by popping efficiency (PE), expansion ratio (ER), flake size (FS), and popped density (PD) (Rooney, & Rooney, 2013; Sharma et al., 2014).…”

Section: Methodsmentioning

confidence: 99%

Assessment of kernel characteristics to predict popping performance in grain sorghum

2022

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Growth in the niche market of popped grain sorghum [Sorghum bicolor (L.) Moench] has increased the demand for grain sorghum lines or hybrids with improved popping quality. While there is a clear morphological difference in kernel morphology between popcorn [Zea mays L. everta] and most other types of corn, most grain sorghum genotypes have kernels with generally similar morphological structure. The absence of a specific kernel morphology for sorghum makes it impossible to eliminate types of grain sorghum that will not pop based solely on that morphology. Consequently, screening of any sorghum genotype requires the actual popping of grain from that genotype. As such, the identification of traits or combinations thereof that effectively screen grain sorghum genotypes for popping efficiency (PE), expansion ratio (ER), flake size (FS), and popped density (PD) is necessary. Herein, grain from 78 diverse genotypes grown in two environments were characterized for physical (i.e., diameter, thousand kernel weight, kernel hardness index, test weight, and visual hardness rating), compositional (i.e., starch, fiber, fat, ash, and protein), and popping characteristics (i.e., PE, ER, FS, and PD). No single physical or compositional trait was sufficiently correlated to prediction of popping performance. Multi-trait models better predicted popping performance than the single trait correlations. Further, multitrait models using compositional predictors increased prediction accuracies by 10.1% for PE, 42.9% for ER, 24.4% for FS, and 40.6% for PD compared with physical predictors. Among subgroups of genotypes, prediction accuracies varied considerably based on the criteria used to subdivide the genotypes. In conclusion, indirect selection for popping performance is possible by leveraging specific multi-trait models. INTRODUCTIONThe use of sorghum grain [Sorghum bicolor (L.) Moench] in food products has increased in the past ten years because of its neutral flavor, the absence of gluten, and the overall con-

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Section: Methodsmentioning

confidence: 99%