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Variation in seedling root traits in wild barley (Hordeum vulgare L. ssp. spontaneum) germplasm

Published online by Cambridge University Press:  16 July 2014

Kuldeep Tyagi
Affiliation:
Department of Crop Science, Chonbuk National University, Jeonju 561-756, Republic of Korea
Hyo Jeong Lee
Affiliation:
Department of Crop Science, Chonbuk National University, Jeonju 561-756, Republic of Korea
Chong Ae Lee
Affiliation:
Department of Food Science, Chonbuk National University, Jeonju 561-756, Republic of Korea
Brian J. Steffenson
Affiliation:
Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108, USA
Young Jin Kim
Affiliation:
National Institute of Crop Science, RDA, Iksan 570-080, Republic of Korea
Song Joong Yun*
Affiliation:
Department of Crop Science, Chonbuk National University, Jeonju 561-756, Republic of Korea
*
* Corresponding author. E-mail: sjyun@jbnu.ac.kr
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Abstract

Improved root architecture of cultivated barley can improve crop performance in drought-prone areas. In this study, seedlings of 315 wild barley (Hordeum vulgare subsp. spontaneum) accessions from the Wild Barley Diversity Collection (WBDC) were grown under hydroponic conditions for 8 d after germination and then root characteristics were analysed. Significant differences were observed among the accessions with regard to seminal root number (SRN), root length (RL), specific root length (SRL), root fresh weight and root dry weight (RDW). Principal component analysis explained about 81% of the total variation for ten traits. Principal component (PC) 1, PC2 and PC3 explained about 38, 30 and 13% of the total variation among the accessions. The two most prominent contributors in each PC were RL and SRL, RDW and SRN, and the longitude and latitude of the collection sites, respectively. Accessions WBDC266, WBDC302, WBDC286 and WBDC011 had the longest RL and the highest RDW, specific dry root weight and SRL, respectively. These accessions may be useful genetic resources for the improvement of these root traits in cultivated barley.

Figure 0

Table 1 Range, fold difference between minimum (min) and maximum (max), mean, standard deviation (sd), coefficient of variation (CV) and probability (P) values for root characteristics of the 315 accessions from the Wild Barley Diversity Collection

Figure 1

Fig. 1 Principal component analysis plots for root traits of the 315 accessions from the Wild Barley Diversity Collection. Clustering of accessions ranking the top five accessions for root length, root dry weight, specific root dry weight and specific root length is shown. PC1, first principal component; PC2, second principal component.

Supplementary material: File

Tyagi Supplementary Material

Tables S1-S3

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