- Edible horticulture
- Ornamental horticulture
To support growers, Vineland has conducted a series of agronomic trials in 2017 and 2018 to better understand how to grow this crop efficiently. Results on spacing, days to maturity, harvesting, postharvesting and pest management have been compiled into an easy-to-read research update report.
Nature, May 17, 2019
Scientific Reportsvolume 9, Article number: 7522 (2019)
The article can viewed here
Abstract: H. Elsadr, S. Sherif, T. Banks, D. Somers & S. Jayasankar. Maturity date (MD), defined as the duration between the first calendar day of the year and maturity, and fruit development period (FDP), defined as the duration between full bloom and maturity, are highly variable in peach [Prunus persica (L.) Batsch]. There is a need to discover molecular markers associated with these traits in order to enhance the efficiency and reliability of breeding for extending the harvest season in peach. An association mapping population consisting of 132 peach accessions was phenotypically evaluated for MD and FDP, and genotypically characterized using the genotyping-by-sequencing (GBS) approach. The phenotypic and genotypic data collected were used to conduct a genome-wide association study (GWAS). The GWAS identified three SNPs on chromosome 4 that are significantly associated with both FDP and MD. These three SNPs covered a region of 43,067 bp; we referred to this region as the MD/FDP locus. Seven genes were identified in the MD/FDP locus. One or more of these genes is believed to regulate some aspect of maturity in peach. The data reported here is expected to aid in marker-assisted seedling selection (MASS) targeted towards widening peach germplasm for maturity, particularly early maturity.
Previous research has identified a need for communication guidelines that bring together research and practical experience. This document highlights best practices when communicating agricultural technology to an audience.
Journal of Sensory Studies, October 5, 2018
The article is available here at a cost.
Abstract: This research enabled the creation of a predictive tool to determine consumer preference based on sensory characteristics and to understanding consumer liking for a large and genetically‐diverse apple population. Over two consecutive years, 71 and 83 apples were profiled using descriptive analysis for aroma, taste, and texture attributes. Sensory maps were created, which clustered apples into four groups with common profiles: aromatic‐sweet, acidic, balanced, and mealy. Acceptance data from 219 consumers was collected on a representative subset of 19 apples and related to the sensory properties through external preference mapping. Two consumers groups were identified both preferring juicy, crisp apple but differing in preference for fresh red apple aroma and sweetness (Group 1, 89%) versus more acidic apples with fresh green apple aroma (Group 2, 11%). For both groups, mealy texture was a strong detractor of liking. Preferred sensory characteristics did not differ based on consumer age, gender, or ethnic heritage.