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Using seed respiration as a tool for calculating optimal soaking times for ‘on-farm’ seed priming of barley (Hordeum vulgare)

Published online by Cambridge University Press:  03 March 2021

Javier Carrillo-Reche*
Affiliation:
Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
Adrian C. Newton
Affiliation:
Ecological Sciences, the James Hutton Institute, Dundee DD2 5DA, UK
Richard S. Quilliam
Affiliation:
Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
*
Author for Correspondence: Javier Carrillo-Reche, E-mail: javier.carrilloreche1@stir.ac.uk
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Abstract

A low-cost technique named ‘on-farm’ seed priming is increasingly being recognized as an effective approach to maximize crop establishment. It consists of anaerobically soaking seeds in water before sowing resulting in rapid and uniform germination, and enhanced seedling vigour. The extent of these benefits depends on the soaking time. The current determination of optimal soaking time by germination assays and mini-plot trials is resource-intensive, as it is species/genotype-specific. This study aimed to determine the potential of the seed respiration rate (an indicator of metabolic activity) and seed morphological changes during barley priming as predictors of the priming benefits and, thus, facilitate the determination of optimal soaking times. A series of germination tests revealed that the germination rate is mostly attributable to the rapid hydration of embryo tissues, as the highest gains in the germination rate occurred before the resumption of respiration. Germination uniformity, however, was not significantly improved until seeds were primed for at least 8 h, that is, after a first respiration burst was initiated. The maximum seedling vigour was attained when the priming was stopped just before the beginning of the differentiation of embryonic axes (20 h) after which vigour began to decrease (‘over-priming’). The onset of embryonic axis elongation was preceded by a second respiration burst, which can be used as a marker for priming optimization. Thus, monitoring of seed respiration provides a rapid and inexpensive alternative to the current practice. The method could be carried out by agricultural institutions to provide recommended optimal soaking times for the common barley varieties within a specific region.

Information

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Structural morphology of barley seeds at the end of each soaking time. Transversal embryo observation by stereomicroscopy. From left to right, red arrows show wetting of the germ, wetting of the endosperm, expansion of the coleorhiza, expansion of the coleoptile and emergence of the radicle tip.

Figure 1

Fig. 2. The effects of ‘on-farm’ seed priming on (a) seed moisture content, (b) seed respiration rate (SRR) and (c) cumulative SRR at specific intervals for Concerto (open circles) and RGT Planet (closed triangles) barley seeds. Vertical bars show ±SE (only if the SE is greater than the symbol size).

Figure 2

Table 1. Effect of seed priming on time to 50% germination (G50)

Figure 3

Table 2. Effect of seed priming on soaking times on the uniformity of germination (U) and total germination (%TG)

Figure 4

Fig. 3. The percentage of variance explained by moisture content (Mc) and cumulative CO2 (ΣCO2) to time to 50% germination during phase I ‘imbibition’ and phase II ‘lag’. Vertical bars show 95% bootstrap confidence intervals.

Figure 5

Table 3. Linear regression coefficients of time to 50% emergence (G50) as the response variable, and moisture content (Mc) and cumulative CO2 (ΣCO2) as the explanatory variables

Figure 6

Fig. 4. Average dry weight of seedlings at the end of the cold test. LMM P-values are for factor cultivar (Cv) and soaking time (Tr). Bars with different letters differ significantly according to the LSD test (P < 0.05). LSDCv = 0.02; LSDTr = 0.02. Vertical bars show the M + SE.

Figure 7

Table 4. Effect of desiccation after different soaking times on time to 50% germination (G50) and total germination (%TG)

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