Registration of ‘Sunbeam’ Ornamental Hop

Haunold, Alfred; Nickerson, Gail B.; Gampert, U.; Kling, Donna

doi:10.2135/cropsci1995.0011183x003500060034x

Cited by 1 publication

(1 citation statement)

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“…For example, hop merchants often feature images of fresh cones unique to certain varieties on sales websites. Release publications for publicly available hops sometimes feature descriptions of cone characteristics such as color and openness (e.g., Haunold et al., 1995; Kenny & Zimmerman, 1984; Romanko et al., 1979). Hop breeders often document cones with images to use as reference points when making selections to ensure cones of selected lines are of sufficient size and not prone to shattering, but no publicly available image analysis pipeline exists for quantifying morphological parameters of hop cones, and little is known about optimal sample sizes for data collection.…”

Section: Introductionmentioning

confidence: 99%

HopBox: An image analysis pipeline to characterize hop cone morphology

Altendorf,

Heineck,

Wakholi

et al. 2023

The Plant Phenome Journal

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Hop cone morphology can influence picking and drying ability, and color can impact consumer preference and may be indicative of quality. However, these characteristics are not generally evaluated in hop breeding programs due to the tedious nature of trait quantification and the extensive variation among cones within a genotype. We developed the HopBox, which is a simply constructed light box with a camera mount, and a publicly available image processing pipeline that identifies hop cones within color‐corrected images, reads a QR code within the image, and outputs data on hop cone length, width, area, perimeter, openness, weight, color, and density. The trained model was applied to images of 500 cones each from 15 replicated advanced hop genotypes from the USDA‐ARS breeding program in Prosser, Washington. Analysis of variance revealed significant (p < 0.001) differences between genotypes for all traits measured, enabling breeders to discriminate between genotypes for selection purposes. Broad sense heritability for all traits ranged from 0.23 to 0.59. A random sampling of hop cones from the complete dataset revealed that imaging only 5–10 cones adequately captured genotypic variation and provided acceptable rank correlations (rs > 0.75); however, increasing the sample size to 30 provided optimal precision. Instructions for constructing a HopBox and the code for the analysis pipeline are publicly available online and have wide applicability for hop breeding and research.

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Section: Introductionmentioning

confidence: 99%