Printer Friendly

PRIMING IMPROVES GERMINATION OF MONOGERM RED BEET (BETA VULGARIS L.) CLUSTERS.

Byline: B. Jagosz

ABSTRACT

Priming treatments have been widely used in a large number of species to improve germination characteristics. The objective of the study was to accomplish the quality of clusters of monogerm red beet breeding lines using osmopriming. The aim of the first experiment was to find an effective priming treatment, which improved the seed germination characteristics of two genotypes, AR79 and W411, primed for 6-120 h with -1.0 MPa KNO3, MgSO4, PEG 6000 and PEG 8000. Total treatments were 56, laid out in completely randomized design. The purpose of the second experiment was to see how storage for 6 and 12 months at 4 and 15AdegC affects the clusters germination of AR79, primed for 48 h with -1.0 MPa KNO3 and PEG 6000. Total treatments were 8, laid out in completely randomized design.

Priming improved all tested germination traits of both genotypes, such as the mean germination time, coefficient of uniformity of germination (CUG), coefficient of velocity, germination capacity and percentage (GC) of abnormal seedlings. Both lines presented the most optimal effects of germination after 48 h of priming with KNO3 and PEG 6000. Cluster storage contributed to the deterioration of their germination. The type of priming solution had no effect on cluster germination after storage. Better results were obtained with clusters stored for 6 than those for 12 months only for the CUG and GC. The storage of clusters at 4AdegC was more advantageous for germination features than storage at 15AdegC.

Keywords: abnormal seedlings, COV, CUG, germination capacity, MGT, osmotic conditioning.

INTRODUCTION

Red beet (Beta vulgaris L.) is one of the major vegetables used in the kitchens of Europe, North America, the Middle East, and some regions of Asia. This species is appreciated mainly because of its nutritional and health benefits. In addition, its roots are a great source of betalain pigments commonly used in the food industry as a natural dye (Goldman and Navazio, 2008). In Poland, red beet production is one of the highest in Europe. In 2014, 358,000 tons of roots were harvested from the cultivated area of 11,000 ha (CSO, 2015).

The seeds of red beet, called a cluster, are botanically a multigerm fructification, which usually contain 2-5 embryos, occurring in up to five closely intertwined plants that require thinning by hand. Monogermity, having a recessive character, is the result of a mutation found in wild grown plants that was identified at the beginning of the 20th century. Initially, the monogerm gene was incorporated into the sugar beet, then to the red beet. Nowadays, most sugar beet cultivars are monogerms that permit clusters to be more accurately spaced in a precision sowing. In the case of red beet cultivars, multigerm genotypes still dominate (Goldman and Navazio, 2008). Currently, on the Polish National List of Vegetable Plant Varieties, there are 27 traditional multigerm seed cultivars, but only one is monogerm (PNLVPV, 2016). Additionally, in recent years, the open-pollinated red beet cultivars have been replaced by hybrids.

Thus, the current red beet breeding program is aimed at selecting new parental lines favourable in terms of root yield and their nutritive quality. Today, red beet monogermity is also one of the major goals of red beet breeders that is needed in order to be able to perform precision seed sowing (Goldman and Navazio, 2008; Jagosz, 2015). On the other hand, the pericarp layer of monogerm beet fruits is much thicker than in the case of multigerm ones, which negatively influences seed germination, especially during moisture and temperature stress (Rochalska and Orzeszko-Rywka, 2008).

Poor seed germination of red beet is determined by several factors such as immaturity or the underdevelopment of seeds, the chemical germination inhibitors in pericarp, physical impairment of germination by the pericarp tissue, seed hardness and impermeability to water and oxygen (Khazaei, 2001; Taylor et al., 2003). Hence, extended cultivation of red beet is hindered by two factors: multigerm clusters and poor seed germination.

Priming is considered one of the best pre-sowing techniques of vegetable seeds to promote germination. The beneficial effects of sugar beet cluster priming on germination characteristics, plant health, and even their chemical composition have been confirmed by many researchers. Orzeszko-Rywka and Podlaski (2003, 2010), as well Rochalska and Orzeszko-Rywka (2008) compared several pre-sowing methods, such as rubbing, washing, priming and alternating magnetic field treatment, and found that seed priming had the best effect on the ability and rate of germination. In the study by Sliwinska and Jedrzejczak (2002), improvement in seed quality was achieved after the process of their hydration and dehydration. Additionally, the effect of treatment was particularly visible in the case of seeds with low initial vigour.

Sacala et al. (2016) noted the positive effect of cluster hydropriming on phosphatase activity, concentration of phosphate photosynthetic pigments in leaves, as well the nutrient status and root yield. Priming with water performed by Mukasa et al. (2003) shortened the germination period and seedling emergence in cool conditions. Habib (2010) also reported on the improvement of the percentage of germination, the rate of germination and the mean time of germination of clusters primed with hydrochloric acid. In turn, according to Jamil and Rha (2007), priming with gibberellic acid increased the final germination as well as germination rate under saline conditions. The clusters treated with potassium nitrate combined with acetyl salicylic acid improved final germination percentage, germination rate as well germination synchrony (Govahi et al., 2007).

Similarly, Dias et al. (2009) noted good results in seed vigour improvement and seedling protection against microorganisms following water, potassium nitrate and polyethylene glycol as well as fungicide treatments.

Presowing treatments has also been developed to improve the speed and the final germination of red beet clusters. The rubbing, leaching and soaking of monogerm clusters significantly influence the rise of germination parameters of seeds (Jagosz, 2017). Nirmala and Umarani (2008), using different priming methods to improve the seed vigour of red beet, selected hydropriming as the best technique. However, when comparing pre-sowing treatments, Costa and Villela (2006) concluded that cluster osmotic conditioning with polyethylene glycol and magnesium sulphate is one of the most promising in increasing the speed and uniformity of germination and emergence of the seedlings. At the same time, they admit that the pre-sowing treating method needs to be adjusted for the species, as well as to the different seed lots.

The beneficial effects of seed priming methods are widely documented in the literature. Pre-sowing treatments have been used in many species to improve speed, rate, uniformity and percentage of germination. In the case of pepper (Ozbay and Sosluoglu, 2016) or sorghum (Shehzad et al., 2012) osmopriming improves also the seeds germination under unfavourable environmental conditions. To apply priming on a commercial scale, seeds must maintain the beneficial effects of such treatments after a storage period. However, the effects of storage of primed vegetable seeds on the germination are not as obvious, because there exist variable responses depending on the species, cultivar, age and lot of the seeds, the type of priming solution as well as the storage conditions (Pazdera, 2005; Toselli and Casenave, 2014). Govahi et al. (2008) noticed only a slight decrease in sugar beet seed quality after storage for one month. However, the literature is very poor regarding the storage of beet clusters.

The purpose of the study, composed of two experiments, was to find an effective and suitable way of cluster osmopriming that would improve the germination parameters, such as the mean germination time, coefficient of uniformity of germination, coefficient of velocity, germination capacity and percentage of abnormal seedling of new red beet monogerm breeding line AR79. Additionally, primed clusters should maintain the beneficial germination performance also after storage. The aim of the first experiment was to select the two kinds of priming solutions (inorganic salt and organic compound) and the priming duration that would have a favourable impact on the cluster germination of two monogerm breeding lines: AR79 and W411. The objective of the second experiment was to evaluate the effect of storage conditions, such as the period and the temperature, on the line AR79's cluster germination primed with two different solutions, selected on the basis of first experiment.

MATERIALS AND METHODS

The clusters of two monogerm seed red beet (Beta vulgaris L.) cytoplasmatic male sterile breeding lines, AR79 and W411, were used in the present study. The line W411 was bred in the University of Wisconsin - Madison (USA), while AR79 is a new breeding line selected in the Institute of Plant Biology and Biotechnology (IPBB) at the University of Agriculture in Krakow (Poland). The seed material was collected in September 2013 at the experimental field and the research was carried out in the Seed Science Laboratory of IPBB in April 2014.

In the first experiment, cluster samples (70 g) of both breeding lines were primed in a column bioreactor with 700 ml of -1.0 MPa solutions of potassium nitrate (KNO3), magnesium sulphate (MgSO4), polyethylene glycol - PEG 6000 and polyethylene glycol - PEG 8000 for 6, 12, 24, 48, 72, 96 and 120 hours, hence, experiment consisted of 56 treatments, laid out in completely randomized design. In the second experiment, 70 g samples of clusters of the line AR79 were conditioned with -1.0 MPa solutions of KNO3 and PEG 6000 for 48 hours; hence, priming in the second experiment consisted of two treatments, laid out in completely randomized design. In both experiments, in order to stop microorganism progresses during the pre-sowing treatment, 0.1% thiram was added into each priming solution. The priming experiments were conducted in an incubator at 15AdegC in darkness. Clusters primed in bioreactor columns were mixed and aerated using a pump.

For each pre-germination treating, one sample of 400 clusters in the first experiment and five samples of 400 clusters in the second experiment, were removed from the priming solutions and rinsed three times in demineralized distilled water. Next, the cluster samples were dried for a week at room temperature in thin layers using an air flow at about 40% RH. Then, seed samples of the first experiment were germinated. In the second experiment, one sample was germinated directly after drying, and another four were hermetically packed and stored, two of them for 6 months and another two for 12 months, respectively, at 4 or 15AdegC, then the seeds were germinated. Finally, the second experiment consisted of 8 treatments, laid out in completely randomized design. As the control, non-primed clusters were used in the first experiment, and primed non-stored clusters were used in the second.

The germination tests of clusters were performed according to international standards for seed testing recommendations (ISTA, 2012). The following germination parameters were determined: mean germination time (MGT), coefficient of uniformity of germination (CUG), coefficient of velocity (COV), germination capacity (GC) and percentage of abnormal seedlings (AS). The germination tests were designed by using a completely randomized design with four replications, each consisting of 100 clusters taken at random. The clusters were uniformly placed in 120 x 210 mm plastic boxes on wet 110 x 20 mm 120 g m-2 pleated filter paper with 50 bellows (MUNKTELL) moistened by demineralized distilled water up to 55% of the total water capacity. These boxes were placed in the incubator with forced air at 20AdegC circulation in darkness.

The measurements of the GC (%) and AS (%) - as the final count - 14 days after planting, were performed using the ISTA Handbook for Seedling Evaluation Guidelines (Don, 2009). In order to account MGT (day), CUG and COV, the seedlings that had started germination (with a protruded radicle of 2 mm long) were counted daily, at the same time, from the moment of planting until the final count made 14 days after planting. MGT, CUG and COV were calculated according to the following formulas: MGT = IPS (D x N) / IPS N; COV = IPS N / IPS (D / N) x 100, and CUG = IPS N / IPS (MGT - D)2 x N, where N is the number of clusters which germinated on day D, and D is the number of days counted from the beginning of germination.

Data from both experiments were subjected to statistical analysis using the STATISTICA software (ver. 12). The results were subjected to a general analysis of variance (ANOVA). The comparison of means for the MGT, CUG, COV, GC and AS were carried out through the least significant difference (LSD) at P a$? 0.05 using the Duncan test.

RESULTS AND DISCUSSION

Nowadays, one of the most important directions of red beet breeding is monogermity, which enables precision sowing and allows skipping the thinning young plants. At the same time, monogerm clusters should have favourable germination parameters, such as rapid, synchronized and high percentage of germination. Modern vegetable breeding programs prefer hybrid cultivars, which are created on the basis of homozygous lines obtained in the process of inbreeding that causes a reduction in plant vigour. The new monogerm red beet line AR79, tested in this study, is also characterized by low germination parameters. In the first experiment, the line W411, selected for the experiment for comparative purpose, showed much higher germination capacity (83%) than the line AR79 (65%) (Table 1). Costa and Villela (2006) suggested that the pre-sowing treating method needs to be adjusted not only for the species, but also to the different seed lots.

However, in the present research, priming treatments improved all measured germination parameters for both studied genotypes, compared to the control (non-primed clusters); the exception was CUG for AR79, where the difference between primed and non-primed clusters was not significant. In comparison with the control, all of the tested priming solutions visibly improved the germination parameters of the treated clusters. Additionally, the solutions of KNO3 and PEG 6000 gave more favourable results for all of the tested germination characteristics than the MgSO4 and PEG 8000 solutions. However, it is known that the different chemicals used in priming solutions may have beneficial or toxic effect on the seed germination of different species. Costa and Villele (2006) recommend solutions of MgSO4 and PEG 6000 as beneficial for priming treatments of red beet clusters.

Other researchers have obtained favourable results of sugar beet cluster germination using pre-sowing priming KNO3 (Govahi et al., 2007; Dias et al., 2009) and PEG 8000 solutions (Capron et al., 2000). In the present study, priming performed for 12 to 96 hours positively affected all of the tested germination characteristics, as compared to the non-primed clusters. With an increase in priming duration from 6 to 48 hours the MGT shortened, but further extension of priming time did not affect the additional improvement of MGT. Clusters primed for 48 hours presented the most beneficial values of the CUG and COV. After 24 and 48 hours of pre-sowing treatment, the GC increased by 12% compared to the control. Finally, treating for 24-120 hours significantly decreased the percentage of AS. In summary, priming for 48 hours was the most optimal for the highest number of the studied germination traits.

Costa and Villela (2006) treated red beet clusters with -1.2 MPa PEG 6000 for 24-72 hours; they usually noted better results of germination for clusters treated for 72 hours. However, they suggested that the results were more dependent on the seed lot and priming solutions rather than the priming duration. The interaction between priming treatments was significant for all germination characteristics tested in the present experiment (Table 2). The clusters of both tested lines presented favourable germination results, regardless of the type of priming solution. Also, treatment for 48 hours provided the most advantageous effects of germination for both genotypes. In addition, it was noted that treatment in both KNO3 and PEG 6000 for 48 hours positively affected the clusters' germination.

Compared to the control (primed, but non-stored clusters), the storage of primed clusters significantly decreased most of the studied germination features; the exception was AS percentage, which were similar for clusters stored at 4AdegC and for the control (Table 3). Unfortunately, the priming mostly accelerated seed ageing during storage, so the primed seeds usually deteriorated faster than non-primed ones (Hill et al., 2007). According to Pazdera (2005), too-long durations of priming negatively influence the storability of vegetable seeds. In the current study, clusters primed with both KNO3 and PEG 6000 presented similar values of germination traits after storage. However, the influence of the type of priming solution was reported by Toselli and Casenave (2014), who noted the more beneficial effects of osmo-than hygro-priming for the germination of treated and stored cotton seeds.

Govahi et al. (2008) suggested better results of sugar beet germination after storage when acetyl salicylic acid rather than methyl jasmonate was incorporated into the PEG 6000. In the present study, the MGT, COV and AS were at a similar level in the case of clusters stored after priming for 6 and 12 months. Tajbakhsh et al. (2004) indicated a very strong influence of all pre-sowing treatments to reduce the percentage of abnormal seedlings of onion. On the other hand, Maude et al. (1994) reported significant increases in the incidence of leek abnormal seedlings with an increase in the duration of primed seed storage. In the current study, only the values of CUG and GC for clusters stored for 6 months were more favourable, compared to the clusters stored for 12 months.

Usually, the extension of the seed storage period causes a decrease in their quality, which was noted by Tiryaki (2006) for amaranth seeds that were stored at room temperature for 4 months and still presented the beneficial effects of priming, but extensions of the storage period to 8 months resulted in a reduction of germination parameters. In the case of the primed clusters of the line AR79, storage at 4AdegC was much more favourable than storage at 15AdegC on all of the tested germination characteristics. According to Pazdera (2005), the storage of primed vegetable seeds at room temperature was less preferred for germination than at -18AdegC. But short storage for one month at 4AdegC and 20AdegC did not negatively influence the germination of primed lettuce seeds (Korkmaz and Pill, 2003). In the case of primed rice seeds stored for 7 months at -4AdegC and 25AdegC, only the higher temperature reduced the germination and growth attributes compared to the control (Hussain et al., 2015).

On the other hand, the storage of sugar beet clusters for 1 month at 4AdegC affected the differences of germination traits according to the priming substances used (Govahi et al., 2008). As compared to the control, the storage of primed clusters generally worsens germination traits regardless of the priming solution, storage period or storage temperature (Table 4). The exception was AS, which was similar in the case of clusters primed with PEG 6000 and stored at 4AdegC. Treating of clusters with PEG 6000 and storage for 6 months raise AS compared to the control, but not significantly. There were also no differences noted in the percentage of AS and GC between clusters those were not stored and those stored for 6 months at 4AdegC. Regardless of the kind of priming solution, clusters stored at 4AdegC presented more favourable germination features than clusters stored at 15AdegC.

It was also noted that the MGT and GC of clusters primed with PEG 6000 and stored at 15AdegC were much better than after treatment with KNO3. Clusters primed with KNO3 and stored for 6 months presented more preferred values of MGT and COV than clusters stored for 12 months, as well as the clusters stored for 6 and 12 months after treatment with PEG 6000. The CUG decreased after 12 months of cluster storage regardless of the type of priming solution. The GC of clusters primed with PEG 6000 after storage, both for 6 and 12 months, was 3% higher than in the case of clusters treated with KNO3. The MGT and COV of clusters stored at 4AdegC tested after 6 and 12 months were similar. The values of CUG, GC and AS of primed clusters after 6 months of storage were better than after 12 months. The storage of primed clusters at 15AdegC for 6 months more favourably influenced the MGT, COV and GC than storage for 12 months. However, in the case of CUG and AS the storage period at 15AdegC was not important.

Rapid, synchronized and high germination percentage is required for commercial red beet clusters, which is especially difficult to obtain in the case of seed production of hybrid cultivars. The priming carried out in the present study significantly improved the germination performance of monogerm clusters of the new breeding line AR79. Although, implementing priming in commercial practice is limited by the reduction of longevity of treated clusters during storage. Nevertheless, in the current research, conditioned clusters after storage maintain the beneficial effects resulting from priming.

Table 1. The mean germination time (MGT), coefficient of uniformity of germination (CUG), coefficient of velocity (COV), germination capacity (GC) and percentage of abnormal seedling (AS) of monogerm red beet breeding lines AR79 and W411 clusters primed with KNO3, MgSO4, PEG 6000 and PEG 8000 for 6 to 120 hours

Cluster treatment###MGT (day)###CUG###COV###GC (%)###AS (%)

Genotype

AR79###2.93a###0.672ab###37.00a###76c###5.51a

W411###2.55a###0.750a###41.61a###88a###4.66a

Control for AR79###4.67b###0.442bc###21.42b###65d###15.50b

Control for W411###4.05b###0.372c###24.69b###83b###12.50b

Priming solution

KNO3###2.44a###0.740a###42.86a###85a###3.00a

MgSO4###2.94b###0.608b###36.45b###78bc###7.13b

PEG 6000###2.60a###0.856a###41.59a###85a###4.00a

PEG 8000###2.97b###0.641b###36.31b###80b###6.21b

Control###4.36c###0.407c###23.05c###74c###14.00c

Priming duration

6h###4.20d###0.459cd###24.16e###80bc###8.63c

12 h###3.50c###0.542c###29.22d###85ab###7.03b

24 h###2.62b###0.781b###39.06c###86a###4.38a

48 h###2.10a###1.008a###47.97a###86a###3.38a

72 h###2.22a###0.789b###45.31b###82abc###3.81a

96 h###2.26a###0.687b###44.71b###79c###3.84a

120 h###2.26a###0.712b###44.69b###77cd###4.53a

Control###4.36d###0.407d###23.05e###74d###14.00d

Table 2. Interaction of genotype, priming solution and priming duration of monogerm clusters of red beet breeding lines AR79 and W411 on their germination traits

Cluster treatment###MGT (day)###CUG###COV###GC (%)###AS (%)

Genotype x priming solution

###KNO3###2.55ab###0.636b###41.44ab###81cd###3.1a

###MgSO4###3.18b###0.584bc###33.59c###72e###7.9c

AR79###PEG 6000###2.81ab###0.883a###39.00abc###78d###4.8ab

###PEG 8000###3.16b###0.585bc###33.95bc###72e###6.2bc

###control for AR79###4.67d###0.442cd###21.42d###65f###15.5e

###KNO3###2.34a###0.843a###44.27a###90ab###2.9a

###MgSO4###2.69ab###0.632b###39.32abc###84c###6.4bc

W411###PEG 6000###2.40a###0.829a###44.17a###92a###3.2a

###PEG 8000###2.78ab###0.697ab###38.67abc###87b###6.2bc

###control for W411###4.05c###0.372d###24.69d###83c###12.5d

Genotype x priming duration

###6h###4.54f###0.403g###22.21gh###75fgh###9.6e

###12 h###3.82e###0.476fg###26.46f###80de###7.3cd

###24 h###2.90c###0.679cd###35.29d###77efg###5.3abc

###48 h###2.18ab###0.994a###46.20b###78efg###3.8a

AR79

###72 h###2.28b###0.782bc###44.08bc###74gh###3.9a

###96 h###2.40b###0.651cde###42.12c###73h###4.1a

###120 h###2.38b###0.722bcd###42.61c###72h###4.7ab

###control for AR79###4.67f###0.442g###21.42h###65i###15.5g

###6h###3.87e###0.515efg###26.10f###86c###7.6de

###12 h###3.18d###0.609def###31.97e###89b###6.8bcd

W411

###24 h###2.35b###0.884ab###42.82c###93a###3.5a

###48 h###2.02a###1.023a###49.74a###93a###3.0a

###72 h###2.16ab###0.797bc###46.54ab###89b###3.8a

###96 h###2.13ab###0.724bcd###47.31ab###85c###3.6a

###120 h###2.15ab###0.702cd###46.78ab###83cd###4.4a

###control for W411###4.05e###0.372g###24.69fg###83cd###12.5f

Priming solution x priming duration

###6h###3.64gh###0.586ijk###27.67jk###84a-g###6.3fgh

###12 h###2.92f###0.692g-i###34.62i###91a###4.0b-f

###24 h###2.20abc###0.838c-g###45.57de###89abc###1.6a

KNO3###48 h###1.94a###1.037ab###51.52a###86a-f###1.5a

###72 h###2.08ab###0.756e-h###48.08bcd###84a-g###2.0ab

###96 h###2.17abc###0.633hij###46.11cde###83a-i###2.5abc

###120 h###2.16abc###0.636hij###46.44cde###81c-j###3.1a-e

###6h###4.48j###0.430kl###22.48lm###76g-j###11.0k

###12 h###3.75h###0.503jkl###27.01jk###79d-j###9.5jk

###24 h###2.81ef###0.690ghi###36.30i###83a-h###7.0ghi

MgSO4###48 h###2.24abc###0.856c-f###44.68def###80c-j###5.4e-h

###72 h###2.40cd###0.681g-i###41.66fgh###78f-j###5.6fgh

###96 h###2.45cd###0.525i-l###41.16gh###75hij###5.8fgh

###120 h###2.42cd###0.572ijk###41.87fgh###73j###5.6fgh

###6h###4.10i###0.426kl###24.70klm###83b-i###7.5hij

###12 h###3.43g###0.581ijk###29.49j###87a-e###5.6fgh

###24 h###2.58de###0.906b-e###39.55h###87a-d###2.6a-d

PEG 6000###48 h###1.99ab###1.144a###50.23ab###91ab###2.3abc

###72 h###2.09ab###0.944bc###47.80bcd###86a-f###3.1a-e

###96 h###2.01ab###0.924bcd###49.99ab###81c-j###2.0ab

###120 h###2.03ab###1.066ab###49.36abc###79d-j###4.9d-g

###6h###4.61j###0.393l###21.77m###78e-j###9.8k

###12 h###3.90hi###0.393l###25.76kl###81c-j###9.0ijk

###24 h###2.92f###0.692ghi###34.80i###83b-i###6.3fgh

###48 h###2.21abc###0.996abc###45.44de###85a-f###4.4c-f

PEG 8000

###72 h###2.30bcd###0.776d-h###43.71efg###79d-j###4.5c-f

###96 h###2.42cd###0.667hij###41.61fgh###77f-j###5.1efg

###120 h###2.44cd###0.573ijk###41.11gh###75hij###4.5c-f

###control###4.36j###0.407l###23.05lm###74ij###14.0l

Table 3. The mean germination time (MGT), coefficient of uniformity of germination (CUG), coefficient of velocity (COV), germination capacity (GC) and percentage of abnormal seedling (AS) of monogerm red beet breeding line AR79 clusters primed with KNO3 and PEG 6000 and stored for 6 and 12 months at 4 and 15AdegC

Cluster treatment###MGT (day)###CUG###COV###GC (%)###AS (%)

Priming solution

KNO3###2.58b###0.673b###39.30b###72b###6.81b

PEG 6000###2.73b###0.752b###37.12b###75b###5.38b

Control for KNO3###2.04a###1.005a###48.98a###80a###2.25a

Control for PEG 6000###2.12a###1.175a###47.28a###82a###3.50a

Storage period

6 months###2.58b###0.624b###39.32b###75b###5.06b

12 months###2.73b###0.467c###37.11b###72c###7.13b

Control###2.08a###1.090a###48.13a###81a###2.88a

Storage temperature

Storage at 4AdegC###2.37b###0.679b###42.29b###77b###4.31a

Storage at 15AdegC###2.94c###0.413c###34.14c###70c###7.88b

Control###2.08a###1.090a###48.13a###81a###2.88a

Table 4. Interaction of priming solution, storage period and storage temperature of primed clusters on the germination traits of monogerm red beet breeding line AR79

Cluster treatment###MGT (day)###CUG###COV###GC (%)###AS (%)

Priming solution x storage temperature

###storage at 4AdegC###2.32b###0.621b###43.26b###76b###5.63b

KNO3

###storage at 15AdegC###2.85c###0.364c###35.35c###68d###8.00c

###storage at 4AdegC###2.42b###0.737b###41.31b###78b###3.00a

PEG 6000###storage at 15AdegC###3.04d###0.461c###32.94c###72c###7.75c

###Control###2.08a###1.090a###48.13a###81a###2.88a

Storage period x priming solution

###KNO3###2.42b###0.576bc###41.66b###74bc###5.75bc

6 months

###PEG 6000###2.74c###0.673b###36.98c###77b###4.38ab

###KNO3###2.74c###0.409c###36.95c###70d###7.88c

12 months###PEG 6000###2.72c###0.526bc###37.27c###73cd###6.38bc

###Control###2.08a###1.090a###48.13a###81a###2.88a

Storage temperature x storage period

###6 months###2.32b###0.799b###43.22b###79a###3.25a

Storage at 4AdegC

###12 months###2.42b###0.558c###41.35b###75b###5.38b

###6 months###2.84c###0.449cd###35.42c###72c###6.88bc

Storage at 15AdegC###12 months###3.04d###0.376d###32.87d###68d###8.88c

###control###2.08a###1.090a###48.13a###81a###2.88a

Conclusions: Current research is one of the few published so far, which tested the priming techniques for monogerm red beet genotypes. The results revealed beneficial effect of applied osmopriming treatments on the seed germination characteristics of the studied breeding lines. The fact is that, the storage of primed clusters contributed to the deterioration of their quality. Although, the treated and stored seeds presented still more favourable values of the germination than untreated clusters.

Funding source of the presented research: The Ministry of Science and Higher Education of the Republic of Poland.

Conflicts of interest: The author declares no conflicts of interest.

REFERENCES

Capron, I., F. Corbineau, F. Dacher, C. Job, D. Come, and D. Job (2000). Sugarbeet seed priming: effects of priming conditions on germination, solubilisation of 11-S globulin and accumulation of LEA proteins. Seed Sci. Res. 10(03): 243-254.

Costa, C.J., and F.A. Villela (2006). Condicionamento osmotico de sementes de beterraba. [Osmotic conditioning of beet seeds]. Rev. Bras. Sementes 28(1): 21-29.

CSO, (2015). Central Statistical Office. Statistical yearbook of agriculture. ZWS, Warsaw. 176-178 p.

Dias, M.A., L.A. Aquino, D.C.F.S. Dias, and E.M. Alvarenga (2009). Qualidade fisiologica de sementes de beterraba (Beta vulgaris L.) sob condicionamento osmotico e tratamentos fungicidas. [Physiological quality of sugar beet (Beta vulgaris L.) seeds under osmotic conditioning and treatments with fungicide]. Rev. Bras. Sementes 31(2): 188-194.

Don, R. (2009). ISTA Handbook on Seedling Evaluation. 3rd Edition, 2003, with Amendments 2006-2009. The International Seed Testing Association, Bassersdorf, Switzerland.

Goldman, I. L., and J.P. Navazio (2008). Table beet. Prohens, J., F. Nuez (eds), Vegetables I, Asteraceae, Brassicaceae, Chenopodiaceae, and Cucurbitaceae. Springer, New York. 219-236 p.

Govahi, M., M.J. Arvin, and G. Saffari (2007). Incorporation of plant growth regulators into the priming solution improves sugar beet germination, emergence and seedling growth at low-temperature. Pakistan J. Biol. Sci. 10(19): 3390-3394.

Govahi, M., M.J. Arvin, and G. Saffari (2008). Response of seed sermination and seedling growth of sugar beet to low-temperature by priming with PEG, acetyl salicylic scid and methyl jasmonate. Agrochimica 52(1): 12-22.

Habib, M. (2010). Sugarbeet (Beta vulgaris L.) seed pre-treatment with water and HCl to improve germination. Afr. J. Biotechnol. 9(9): 1338-1342.

Hill, H.J., J.D. Cunningham, K.J. Bradford, and A.G. Taylor (2007). Primed lettuce seeds exhibit increased sensitivity to moisture content during controlled deterioration. HortScience 42(6): 1436-1439.

Hussain, S., M. Zheng, F. Khan, A. Khaliq, S. Fahad, S. Peng, et al., and L. Nie (2015). Benefits of rice seed priming are offset permanently by prolonged storage and the storage conditions. Sci. Rep. 5: 1-12.

ISTA, (2012). International Rules for Seed Testing. International Seed Testing Association, Zurich, Switzerland.

Jagosz, B. (2015). Generative development of red beet grown in the field and in plastic tunnels. EJPAU 18(4): #10. http://www.ejpau.media.pl/volume18/issue4/art-10.html.

Jagosz, B. (2017). Improvement of red beet monogerm cluster germination using rubbing and water treatments. Infrastructure and Ecology of Rural Areas II(1): 599-609.

Jamil, M., and E.S. Rha (2007). Gibberellic acid (GA3) enhance seed water uptake, germination and early seedling growth in sugar beet under salt stress. Pakistan J. Biol. Sci. 10(4): 654-658.

Khazaei, H. (2001). Improvement of sugarbeet (Beta vulgaris) seed germination with water treatment. J. Agric. Sci. Technol. 15(1): 115-120.

Korkmaz, A., and W.G. Pill (2003). The effect of different priming treatments and storage conditions on germination performance of lettuce seeds. Eur. J. Hortic. Sci. 68(6): 260-265.

Maude, R.B., R.L.K. Drew, D. Gray, W. Bujalski, and A.W. Nienow (1994). The effect of storage on the germination and seedling abnormalities of leek seeds primed and dried by different methods. Seed Sci. Technol. 22(2): 299-311.

Mukasa, Y., H. Takahashi, K. Taguchi, N. Ogata, K. Okazaki, and M. Tanaka (2003). Accumulation of soluble sugar in true seeds by priming of sugar beet seeds and the effects of priming on growth and yield of drilled plants. Plant Prod. Sci. 6(1): 74-82.

Nirmala, K., and R. Umarani (2008). Evaluation of seed priming methods to improve seed vigour of okra (Abelmoschus esculentus) and beetroot (Beta vulgaris). Seed Sci. Technol. 36(1): 56-65.

Orzeszko-Rywka, A., and S. Podlaski (2003). The effect of sugar beet seed treatments on their vigour. Plant Soil Environ. 49(6): 249-254.

Orzeszko-Rywka, A., and S. Podlaski (2010). Effect of sugar beet seed treatments on the course of field emergence, yield and variability. EJPAU 13(3): #9. http://www.ejpau.media.pl/volume13 /issue3/ art-09.html.

Ozbay, N., and Z. Susluoglu (2016). Assessment of growth regulator prohexadione calcium as priming agent for germination enhancement of pepper at low temperature. The J. Anim. Plant Sci. 26(6): 1652-1658.

Pazdera, J. (2005). Storability of vegetable seeds after hydration treatment. 7th Scientific and technical Seminar on Seed and Seedlings, 10 February, Prague, Czech Republic. 73-77 p.

PNLVPV (2016). Polish National List of Vegetable Plant Varieties. COBORU, Slupia Wielka. 24-25 p.

Rochalska, M., and A. Orzeszko-Rywka (2008). Influence of alternating magnetic field on respiration of sugar beet seeds. Int. Agrophysics 22(3): 255-259.

Sacala, E., A. Demczuk, E. Grzys, U. Prosba-Bialczyk, and H. Szajsner (2016). Effect of laser-and hydropriming of seeds on some physiological parameters in sugar beet. J. Elem. 21(2): 527-538.

Shehzad, M., M. Ayub, A.U.H. Ahmad, and M. Yaseen (2012). Influence of priming techniques on emergence and seedling growth of forage sorghum (Sorghum bicolour L.). The J. Anim. Plant Sci. 22(1): 154-158.

Sliwinska, E., and E. Jendrzejczak (2002). Sugar-beet seed quality and DNA synthesis in the embryo in relation to hydration-dehydration cycles. Seed Sci. Technol. 30(3): 597-608.

Tajbakhsh, M., P.H. Brown, A.J. Gracie, C.J. Spurr, N. Donovan, and R.J. Clark (2004). Mitigation of stunted root abnormality in onion (Allium cepa L.) using seed priming treatments. Seed Sci. Technol. 32(3): 683-692.

Taylor, A.G., M.C. Goffinet, S.A. Pikuz, T.A. Shelkovenko, M.D. Mitchell, K.M. Chandler, and D.A. Hammer (2003). Physico - chemical factors influence beet (Beta vulgaris L.) seed germination. Nicolas, G., K.J. Bradford, D. Come, H.W. Pritchard (eds), The Biology of Seeds: Recent Research Advances. CABI, Wallingford. 433-440 p.

Tiryaki, I. (2006). Priming and storage of amaranth seeds: effects of plant growth regulators on germination performance at low temperature. Seed Sci. Technol. 34(1): 169-179.

Toselli, M.E., and E.C. Casenave (2014). Is the enhancement produced by priming in cottonseeds maintained during storage? Bragantia 73(4): 372-376.
COPYRIGHT 2018 Asianet-Pakistan
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:Journal of Animal and Plant Sciences
Date:Jun 30, 2018
Words:6244
Previous Article:CHILLING INJURY AND PHYSICO-CHEMICAL ATTRIBUTES OF MANGO FRUIT INFLUENCED BY LOW TEMPERATURE STORAGE.
Next Article:INFLUENCE OF ZINC FERTILIZATION ON MORPHO-PHYSIOLOGICAL ATTRIBUTES, GROWTH, PRODUCTIVITY AND HEMATIC APPRAISAL OF PADDY RICE.
Topics:

Terms of use | Privacy policy | Copyright © 2024 Farlex, Inc. | Feedback | For webmasters |