Genetic Resources and Breeding Trends of Berry Crops

A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Genetics, Genomics, Breeding, and Biotechnology (G2B2)".

Deadline for manuscript submissions: closed (16 February 2024) | Viewed by 3867

Special Issue Editors


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Guest Editor
Institute of Horticulture, Latvia University of Life Sciences and Technologies, LV-3701 Dobele, Latvia
Interests: raspberry and blackcurrant breeding; evaluation of raspberry, red and blackcurrant and gooseberry varieties; raspberry, currant and gooseberry cultivation technologies; genetic resources of berry crops

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Guest Editor
Institute of Horticulture, LV-3701 Dobele, Latvia
Interests: horticultural genetic resources; molecular biology; bioinformatics; resistance; horticulture; association analysis; plant breeding; genomics; marker assisted selection; molecular breeding; molecular marker development
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Soil and Plant Sciences, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia
Interests: fruit growing; genetics; berry crops; plant breeding

Special Issue Information

Dear Colleagues,

The open-access journal Horticulturae (IF: 2.331; Q1 in Horticulture) is pleased to announce that we have launched a new Special Issue titled “Genetic Resources and Breeding Trends of Berry Crops”. Given your expertise in this field, we would like to invite you to contribute an article to the present Special Issue.

The proposed aims of this Special Issue are to present advanced studies, methods, tools, and innovations in the field of small fruit breeding and study and involve genetic resources for the development of new cultivars. We hope to receive your contributions so as to share them with the community of researchers, students, and technicians community, new knowledge of progress in the breeding of new cultivars in the light of ongoing climate change. In the hope that this invitation receives your favorable consideration, we look forward to our future collaboration.

Breeding programs are taking advantage of modern technologies, underpinning the development of more resilient and high-quality cultivars (Jarret et al., 2019). Integration of new tools of smart phenotyping and marker-assisted breeding offers new possibilities for a more efficient breeding process.

Dr. Sarmīte Strautiņa
Dr. Gunārs Lācis
Dr. Kaspars Kampuss
Guest Editors

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Keywords

  • raspberry
  • currants
  • strawberry
  • blueberries
  • breeding
  • smart phenotyping
  • marker-assisted breeding
  • genomic tools
  • environmental resilience (ecological plasticity)

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Published Papers (2 papers)

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Research

13 pages, 1718 KiB  
Article
Triploid Hybrids of 2x Lingonberry (Vaccinium vitis-idaea) by 2x Black Highbush Blueberry (V. fuscatum) and 2x Elliott’s Blueberry (V. elliottii) as Evidence of a Genome Balance Requirement for Hybridization Success
by Mark Ehlenfeldt, James L. Luteyn, Fernando de la Torre and Juan Zalapa
Horticulturae 2023, 9(12), 1308; https://doi.org/10.3390/horticulturae9121308 - 6 Dec 2023
Cited by 1 | Viewed by 1312
Abstract
Hybridizations were made between a 2x V. vitis-idaea (sect. Vitis-idaea, lingonberry) and 2x V. fuscatum (sect. Cyanococcus, Black Highbush Blueberry) as part of a project aimed at understanding the crossability and compatibility of these but specifically aimed at assessing [...] Read more.
Hybridizations were made between a 2x V. vitis-idaea (sect. Vitis-idaea, lingonberry) and 2x V. fuscatum (sect. Cyanococcus, Black Highbush Blueberry) as part of a project aimed at understanding the crossability and compatibility of these but specifically aimed at assessing the possibilities for improvement and utilization of lingonberry. The crosses succeeded at a low level, and six hybrids were produced and genetically verified. When tested for ploidy level, five of the six hybrids were found to be triploids and one was found to be a tetraploid. Hybrids were intermediate in morphology and only fertile at very low levels, largely due to their triploid nature. Several of these hybrids produced progeny when used as females and pollinated with 6x V. virgatum-derived males, indicating viable unreduced 2n ovules. Similar crosses were made between lingonberry and 2x V. elliottii (sect. Cyanococcus, Elliott’s Blueberry). These crosses produced two genetically verified hybrids, which were also determined to be triploids. These hybrids were effectively sterile. The production of triploids from 2x × 2x crosses indicates that there is a natural selection for a reproductive genome balance of two V. vitis-idaea:one Cyanococcus. The success of secondary hybridizations with hexaploid materials suggests that the triploid hybrids may be used to advance the utilization and recombination of lingonberry germplasm. Full article
(This article belongs to the Special Issue Genetic Resources and Breeding Trends of Berry Crops)
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10 pages, 4288 KiB  
Article
Assessment of the Aim Characteristics of Strawberry (Fragaria × Ananassa) Cultivars in Estonia by Using the K-Means Clustering Method
by Natallia Klakotskaya, Peeter Laurson, Asta-Virve Libek and Ave Kikas
Horticulturae 2023, 9(1), 104; https://doi.org/10.3390/horticulturae9010104 - 12 Jan 2023
Cited by 1 | Viewed by 1776
Abstract
Choosing an excellent method to compare the aim characteristics of a large number of cultivars simultaneously in a sufficiently comprehensive way is often an essential challenge for breeders. This article presents the results of a comprehensive assessment of the Estonian conditions of 58 [...] Read more.
Choosing an excellent method to compare the aim characteristics of a large number of cultivars simultaneously in a sufficiently comprehensive way is often an essential challenge for breeders. This article presents the results of a comprehensive assessment of the Estonian conditions of 58 strawberry (Fragaria × ananassa) cultivars of various geographical origins according to the main economically useful markers. Based on two years of data, cultivars were clustered separately for each marker using the K-means clustering method. Considering the data on the aim characteristics, including high yield, high fruit weight, high total soluble solids TSS (°Brix) content, optimal titratable acidity TA (%) content, and a high °Brix/acidity ratio, the groups of similar cultivars formed clearly. The validation of cultivars into similar groups is important for further breeding decisions. A K-means clustering method is ideal for clustering strawberry cultivars according to their characteristics. Full article
(This article belongs to the Special Issue Genetic Resources and Breeding Trends of Berry Crops)
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