bioRxivPlant BiologyPreprint
GENETIC, MORPHOLOGICAL, AND PHYTOCHEMICAL DIFFERENTIATION OF CARNAVAL - A NEW HOP CULTIVAR ADAPTED TO TROPICAL ENVIRONMENT
Ricardo Beolchi de Souza LimaiD, Clarissa Hamaio Okino DelgadoiD, Max Vincent Raffaele, Vivian Polotto Croce, José Baldin PinheiroiD, Márcia Ortiz Mayo MarquesiD, Jonathan Andre Morales MarroquíniD, G. W. MartiniD, Fabíola Ribeiro de OliveiraiD, Luís Thadeo Poianas SilvaiD, Mateus MondiniD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWThe global hops market generates approximately US$8 billion annually, primarily driven by beer production, the worlds most consumed beverage. Despite this global demand, hop cultivation remains concentrated in temperate regions. Brazil, the third-largest beer consumer, imports over 99% of its hops. This study aimed to technically validate a new tropicalized hop cultivar, "Carnaval," developed over six years of breeding and genetic improvement to adapt the crop to Brazilian conditions. A comparative analysis was conducted between Carnaval and two commercial varieties, Comet and Cascade, evaluating morphological traits, production potential, phytochemical composition via GC-MS, and genotyping using 10,541 SNP markers obtained through dd-GBS on the Illumina(R) NextSeq 1000/2000 platform. Carnaval exhibited clear genotypic and phenotypic distinctiveness, with notable differences in cone, leaf, and branch morphology, as well as in alpha (14.0%) and beta (6.9%) acid content and essential oil concentration (0.61%), comprising over 35 components--mainly myrcene, -humulene, selinene, and caryophyllene. Productivity reached 478 kg/ha, comparable to commercial cultivars. Genetic analyses revealed high diversity (HS = 0.35), and population structure showed Carnaval grouping with its female parent Zeus but with distinct genomic characteristics. These findings confirm Carnavals unique identity and its adaptation to tropical conditions, making it a promising alternative for domestic hop production in Brazil.
- organism: plant (other)
- assay: metagenomics
- assay: proteomics
- research focus: cell type annotation
- research focus: clustering
- approach: statistical model
- Citations
- 0
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