Genetic Variation Among 54 Eastern Black Walnut Cultivars for Phenological and Morphological Traits

Bibliographic Details
Title: Genetic Variation Among 54 Eastern Black Walnut Cultivars for Phenological and Morphological Traits
Authors: Nicholas Meier, Mark V. Coggeshall, J. Bryan Webber, Elias Bunting, Ronald S. Revord
Source: Journal of the American Society for Horticultural Science, Vol 147, Iss 5 (2022)
Publisher Information: American Society for Horticultural Science (ASHS), 2022.
Publication Year: 2022
Collection: LCC:Plant culture
Subject Terms: genetic diversity, germplasm, juglans nigra, nut quality, nut tree, principal component analysis, tree breeding, Plant culture, SB1-1110
More Details: Eastern black walnut (Juglans nigra) is a large tree endemic to the eastern United States and is highly sought after for its timber products and uniquely flavored nuts. The University of Missouri Center for Agroforestry in New Franklin, MO, USA, hosts an eastern black walnut cultivar repository. This collection supports an ongoing breeding program to improve economic performance for nut production (kernel weight, nut quality, precocity, and yield). In 1996, 54 cultivars were grafted and planted in a series of experimental orchards for evaluation. From 2001 until 2015, trees were evaluated for 12 phenological and eight nut quality/yield traits. Economically relevant traits including kernel weight, kernel percentage, and precocity (total nuts produced age 6 to 10 years) ranged from 1.1 to 8.6 g, 5.3% to 39.3%, and 16 to 1522 total nuts per tree, respectively. Kernel percentage was positively correlated with kernel weight (r = 0.51) and precocity (r = 0.38). Precocity was negatively correlated with the first (r = −0.39) and last (r = −0.30) female bloom. Principal component analysis and biplot analyses revealed high levels of variation among the cultivars. The first two components explain 43.4% of the total variation. Nut dimensions (nut length and nut thickness), nut and kernel weight, and kernel percentage are the largest drivers of variation in the collection. Eigenvectors for precocity and kernel percentage load together and are orthogonal to kernel weight, suggesting these three important traits can be improved simultaneously. Also, nut length loads with kernel weight, providing a candidate indirect selection parameter to increase kernel weight. These data inform strategies for crossing scheme design, expectations for multitrait genetic gain, complementary hybridization, and identifying unique recombinants.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2327-9788
Relation: https://journals.ashs.org/jashs/view/journals/jashs/147/5/article-p281.xml; https://doaj.org/toc/2327-9788
DOI: 10.21273/JASHS05242-22
Access URL: https://doaj.org/article/950058fb821f4fa582115d10182e8a0e
Accession Number: edsdoj.950058fb821f4fa582115d10182e8a0e
Database: Directory of Open Access Journals
More Details
ISSN:23279788
DOI:10.21273/JASHS05242-22
Published in:Journal of the American Society for Horticultural Science
Language:English