Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2002
Volume 5
Issue 2
Topic:
Forestry
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Tylek P. , Walczyk J. 2002. THE RELATIONSHIP BETWEEN THE VIABILITY AND GEOMETRIC CHARACTERISTICS OF BEECHNUTS (Fagus silvatica L.), EJPAU 5(2), #05.
Available Online: http://www.ejpau.media.pl/volume5/issue2/forestry/art-05.html

THE RELATIONSHIP BETWEEN THE VIABILITY AND GEOMETRIC CHARACTERISTICS OF BEECHNUTS (FAGUS SILVATICA L.)

Paweł Tylek, Józef Walczyk

 

ABSTRACT

The present demand for beech seeds in Poland has stabilised at a level of about 80 - 85 tonnes per year. Economy of the forest nursery production requires seeds of high genetic quality and good germination value. The geometric parameters of the seeds form the basis for selection. The size of seeds, as their most important physical property, has a particular importance during the evaluation of their viability, as well as in the process of cleaning and storage. The aim of this paper is the analysis of the geometric characteristics of the nuts of the European Beech, and the relationship to their vitality. The vitality has been determined on the basis of an evaluation of embryo-development by X-ray analysis. Measurements of the geometric parameters were made using computer- aided image analysis. A measuring device developed in the Department of Forest Works Mechanisation of the Agriculture University in Cracow was used. Results of the studies are presented in the form of tables and histograms, dividing the seeds

Key words: separation properties, geometric properties, sorting process, beech seeds.

INTRODUCTION

The eastern border of the natural habitat of the European beech (Fagus silvatica L.), one of the basic forest-forming species passes through Poland. On average, beech occupies 4.4% of Poland's area, but in elevated and mountain areas it occupies up to about 15-20%. The present demand for beech seeds has stabilised at a level of about 80-85 tonnes per year. The total seed harvest in the beech productive areas and permanent seed stands fully supplies the needs of the State Forests. Nevertheless, the area of the existing seed base does not allow for an emergency reserve (in case of fire, pest depredations, or wind damage) [4]. The increase of periods passing between subsequent good-crop years imposes the necessity for the more rational use of seeds. Moreover, improvement in the knowledge as how to lengthen periods of seed storage is needed. It should be also remembered that seed ageing is the more intense if the quality at the beginning of storage is poor [10].

Because there are some problems with the natural regeneration of beech by seeding, the use of the full germinative capacity of seeds and the planting of a maximum number of seedlings from the seeds is becoming increasingly important in the forestry [3]. Because of strict regionalisation and the harvesting of seeds from a limited number of selected trees, tree stands and seed plantations, and because of permanently increasing demands for forest planting and regeneration, it is necessary to obtain the highest possible number of seedlings from a limited number of seeds [8].

The economics of forest nursery production requires seeds of high genetic quality and high germinative capacity. Therefore only the best quality seeds should be stored to form a reserve for years of bad crops, the prolonged storage of seeds to maintain the gene pool of the species (Forest Gene Banks), as well as for sowing and other direct applications [10]. Such a policy is aimed to result in a reduction of the overall costs of the planting material. Moreover, it will improve the use of areas designed for the intensive production of such material. Therefore, the crucial problem is concerned with the separation of seeds that would provide planting material of a higher quality. The separation process selects full, correctly formed seeds from empty or damaged ones [7, 9]. Obtaining high quality planting material requires a good knowledge of the rules governing the separation processes, based mainly on differences in some of the physical properties of the seed mixtures particular components. A lso the design and exploitation of the machinery and equipment for the treatment and cleaning of seeds demands such knowledge [1].

THE AIM AND SUBJECT OF THE STUDIES

Geometric parameters may form a basis for the seeds separation traits. The size of seeds, as their most important physical property has a particular significance in the evaluation of their viability and in the processes of cleaning and storage. In the separation processes the thickness is important when using sieves with longitudinal holes, and the width for sieves with circular holes. The surface areas of seeds (bearing surfaces) affect their aerodynamic properties, while the length/circumference ratio is often used for calculating their shape. Measurements of some geometric characteristics of beech seeds have been carried out in a few works, but the lack of any correlation between those parameters and the biological properties of the seeds has prevented the practical application of these results.

The aim of this work is an analysis of the above mentioned geometric characteristics of beechnuts in correlation with their viability. Seeds from the following sources were studied: - Bielsko Forest Division, Forest Section - Salmopol; crop year - 2000; viability - 68%; humidity - 9.8 %; mass of 1000 seeds - 249.8 g.

The computer aided image analysis used in measurements requires the preparation of an appropriate algorithm, which would distort the size, and shape of the visualised seeds on the digital images to the least extent. The present study also embraces this task.

METHODS

The methods of investigation applied involved measurements of particular parameters for single seeds. Seed viability was determined on the basis of an evaluation of the development of embryos after X-ray examination [6]. Each seed was X-rayed, using FAXITRON X-Ray systems 43855A apparatus. The X-ray tube was operated at 14 kV. The time of exposure was 81 s [9]. To enable identification the seeds were placed, before X-ray examination, on a plexiglass (metaplex) matrix (Fig. 1). This part of the studies was done in the laboratory of the Forest Gene Bank in Kostrzyca.

The standards used to calculate the expected germination ability of the deciduous species were consistent with the rules for seed evaluation as used in the State Forests. The investigated batch of seeds was divided into three viability classes:

Figure 1. Beech seeds place in metaplex templed, prepared for vitality analyse by using X-ray radiography method

Figure 2. X-ray photography of the beech seeds: a – empty, b – undeveloped, c – full, correct formed

The authors' own software for the computer-aided image analysis was used in the studies of the geometric properties of the seeds. Measuring apparatus built in the Faculty of the Department of Forest Works Mechanisation, Agriculture University in Cracow was used for this purpose (Fig. 3). The JVC GR 9800 digital camera, with 1024x768-pixel resolution was used to take photos of particular seeds. The optical stand enabled photos of the seeds to be obtained in three orthogonal projections (i.e. three planes mutually at right angles), without the need to change the position. To achieve this a system of four plane mirrors was used, comprising two reflecting and two illumination mirrors. The mirrors were adjusted to an angle of 45 degrees to the plate on which the seeds were placed, mutually perpendicularly (to get a good readability, only one pair of mirrors is placed in the figure – the second one is situated perpendicularly). Such a system makes it possible to register on on e photo the direct image of the seed, and its two reflections in both mirrors simultaneously. To assure equal illumination of all three views, necessary for correct analysis, one source of light was used, illuminating the seeds from the bottom and from both sides, light being reflected from the additional illumination mirrors. The system considerably increases the contrast of the image and facilitates its further analysis [2, 5].

Figure 3. Functional diagram of the stand for measurement of seeds geometrical characteristics;
1 – reflector, 2 – analysed seed, 3 – focusing screen, 4 – glass plate, 5 – illuminating mirror, 6 – projection mirror, 7 – video camera

The photos of particular seeds were subjected to a series of transformations preceding the qualitative analysis (Fig.4):

1. Scaling - done to determine the scale factor of an image. Because the projections of seeds are created at various distances from the objective, the scale factor of each image (projection) of the seed was determined separately. Scaling was carried out using the image of a sphere of known diameter.

2. Contrast normalisation - enables better differentiation of the details within the image, due to extension with a linear function of the points value to 256 grey scale points.

3. Median filtration – belongs to the group of filters analysing the intensity of particular, image-creating pixels, taking into account their local neighbourhood. The advantage is that it does not introduce any new values to the analysed image, which leaves the sharp edges of the image unchanged, but smoothes the jagged edges. It also totally eliminates the noise of the image (small, unwanted objects). The filtration was achieved using a structural element, of 5 x 5 pixels in size.

4. Conversion of octal to binary representation - it changes the 8-bit image to the 1-bit one (binary). The result of this operation is the image showing black objects (seeds) on the white background. This is necessary because the basis of such automatic measurements e.g. the number of the objects, area, or length, etc., is the black-white image.

5. Threshold search - identifies objects having arbitrary defined range of areas. These objects are then analysed quantitatively [12].

The accuracy of measurements resulting from the applied enlargement and picture resolution amounts to 0.085 mm in the case of linear quantities, and 0.00 mm2 for the areas. The error of area measurement, resulting from the proposed algorithm of the image transformations is 1.3%. The circumference of the particular objects is accurate to within 10%. The image analysis, i.e. its transformation and measurements were carried out using the MultiScan v.6.08. computer program.

Figure 4. Successive phases of the computer image analyses:
a – 8-bit, digital initial image, b – after contrast normalisation and using mediana filter, c – after conversion to binary image and object isolating – prepared for quantitative analyses

RESULTS OF INVESTIGATIONS AND THEIR ANALYSIS

The geometric parameters of the beechnuts and their statistic analysis are presented in Table 1. Minimum, maximum, and average values, with a coefficient of variation, were taken into account. The particular values for seeds in the three earlier defined groups (viability classes) were taken into consideration. The significance of differences between the fractions was also evaluated using the t-Student test. It was found that the seeds from the higher viability classes had greater linear dimensions, but no statistically significant differences in the width/length ratios between I and II vitality classes were found. Similar results were obtained when comparing the cross-sectional areas and circumferences of the cross-sections areas. From a point of view of the mechanical separation of seeds the consideration of the average values in the classes is insufficient. It is necessary to know the range of the occurrence of a particular feature. Therefore it is reasonable to look at the maximum and minimum values. The lower limits of the occurrence of the seeds of particular geometric features (minimum values) are different, while the upper limits (maximum values) are almost identical for all viability classes. This makes effective separation by a one-stage system impossible.

The analysis of the geometric features variability shows that beechnuts are highly dimensionally uniform (low coefficient of variation). Correctly formed seeds show the lowest variability. The differences between the largest and smallest registered dimensions were equal to: 54% for thickness; 55% for width; 52% for length. Similar values (between 49% and 62%) were obtained for seeds circumferences, and slightly higher values (from 75% to 78%) for the sectional areas.

The histograms of the contribution of thickness and width of beechnuts (the dimensions directly used in the dimensional separation on sieves) are presented in Fig. 5. In the case of the thickness, three fractions including the seeds with dimensions varying from 8.58 to 10.49 mm form the largest proportion (almost 65% of the seeds investigated). For width, two fractions of dimensions varying from 10.46 to 12.03 mm contained almost 50% of the seeds. However in this case, the high number is caused both by the relatively high content of viable seeds and empty seeds. This makes the initial conditions less favourable when designing a separation process.

Based upon the histograms, the expected germinative capacity of the target seed fraction, and of the discarded fraction can be estimated, after assumption of an appropriate division limit. For instance, a division-line at thickness greater than 6.84 mm will increase the expected germinative capacity of the target fraction from 73.4% to 76.5%. The germinative capacity of the discarded fraction will then be 15.1%. In the case of a further shift of the division line in the case of a subsequent class, the respective values will be 78.6% and 29.1%. Adopting more extreme division-line values does not cause any significant improvement of the germinative capacity of the target fraction, but the number of viable seeds in the discarded fraction will increase sharply.

The linear dimensions of beechnuts are interrelated by some correlations - an increase of one of the dimensions causes some increase of the others. They are not functional relationships, but the correlation between thickness and width is very strong - the correlation coefficient reaches 0.725. On the other hand, the correlation coefficients for the thickness and width together with length are equal to 0.385 and 0.409 respectively. It may thus be stated that the shape of beechnuts is very stable, despite their considerable size-range.

Table 1. Geometrical characteristics of the beech seeds

Vitality clases

Statistical parameters

Average

Minimum

Maximum

Coefficient of variation (%)

Significant level

I - II

II - III

I - III

Thickness (mm)

I

6.9

4.3

9.4

13.5

*

**

**

II

7.1

4.4

9.1

12.1

III

7.6

5.9

9.4

9.2

Width (mm)

I

8.6

4.3

11.5

12.4

n

**

**

II

8.6

5.9

11.6

12.7

III

9.2

7.0

11.5

8.9

Length (mm)

I

16.5

9.8

19.3

10.5

n

**

**

II

16.6

12.5

19.9

9.8

III

17.7

15.0

20.3

7.5

Section area in thickness and width cutting plane (mm2)

I

35.3

17.3

57.6

22.3

*

**

**

II

37.9

16.7

58.8

22.1

III

44.0

25.0

66.3

16.3

Section area in thickness and length cutting plane (mm2)

I

112.0

38.9

166.8

21.4

n

**

**

II

112.9

56.9

174.9

17.4

III

125.8

86.6

162.6

12.8

Section area in width and length cutting plane (mm2)

I

124.8

44.8

186.2

19.4

n

**

**

II

125.4

64.7

184.8

19.0

III

143.7

85.3

190.1

12.9

Section circumference in thickness and width cutting plane (mm)

I

30.8

16.0

40.0

12.8

n

**

**

II

31,6

19,4

41,8

12,0

III

33.7

26.4

41.9

9.3

Section circumference in thickness and length cutting plane (mm)

I

55.8

35.0

66.5

10.3

n

**

**

II

54.8

42.5

66.5

9.1

III

57.9

46.5

67.2

7.6

Section circumference in width and length cutting plane (mm)

I

56.2

33.8

66.3

9.9

n

**

**

II

56.1

41.2

66.5

9.8

III

59.8

46.6

69.9

7.6

n – non-significant
* – statistically significant differences at p < 0.05
** – statistically significant differences at p < 0.01

Figure 5. Histogram of the beech seeds distribution in the classes: a – thickness, b – width; e – empty seeds, n – undeveloped, f – full

CONCLUSIONS

  1. For a studied population it was found that the geometric features of beechnuts might be considered as selective features. Therefore there exists some possibility of using them in designing methods for beechnuts mechanical separation. In general there are no possibilities to separate nuts in viability classes I and II.

  2. The size of beechnuts is characterised by the three basic dimensions, which are mutually and positively correlated. The beechnuts belonging to the higher classes of viability are larger, and the variability of all their geometric features is smaller.

  3. The method of investigation applied is laborious and time consuming, but it enables the precise determination of the correlation between the viability of the evaluated seeds and their particular physical features.

REFERENCES

  1. Grochowicz J. 1994. Maszyny do czyszczenia i sortowania nasion. [Machines for cleaning and sorting seeds]. Wydawnictwo Akademii Rolniczej w Lublinie [in Polish].

  2. Lichtscheidl I. 1995. Principles of modern light microscopical techniques and their application for the study of plant cells. Wissenschaftlicher Film (Wien) nr 47.

  3. Madsen P. 1995. Effects of seedbed type on wintering of beech nuts (Fagus sylvatica) and deer impact on sprouting seedlings in natural regeneration. Forest Ecology and Management 73, 37-43.

  4. Matras J. 2000. Selekcyjna i gospodarcza baza nasienna buka zwyczajnego (Fagus sylvatica L.) w Polsce. [Selective and industrial seed basis of the European beech (Fagus silvatica L.) in Poland]. Zeszyty Naukowe AR w Krakowie, ser. Sesja Naukowa nr 69, 103-120 [in Polish].

  5. Rigney M. P., Kranzler G. A. 1997. Machine vision for conifer seedling quality control. New Forest 13, 51-62.

  6. Simak M. 1980. X-radiography in research and testing of forest tree seeds. Rep. 3, Department of Silviculture, Swedish University of Agricultural Science, Umea, 34 pp.

  7. Suszka B. 1999. Zagadnienia nasiennictwa w szkółkarstwie górskim. [Seed production in the mountain seed nursery]. Sylwan nr 1, 37-42 [in Polish].

  8. ¦więcicki Z. 1993. Separator nasion firmy Damas. [Seed separator of the Damas Company]. Głos Lasu nr 4 [in Polish].

  9. Toka K. 1998. Instrukcja technologiczna nr 1. [Technical manual number 1].Le¶ny Bank Genów Kostrzyca [in Polish].

  10. Toka K. 2000. Ochrona zasobów genowych buka w Le¶nym Banku Genów w Kostrzycy. [Protection of the gene resources of beech in the Forest Gene Bank in Kostrzyca]. Zeszyty Naukowe AR w Krakowie, ser. Sesja Naukowa nr 69, 213-227 [in Polish].

  11. Tylek P. 2000. Układ optyczny do wspomagania pomiarów planimetrycznych nasion metod± analizy obrazu. [Optical system assisting the planimetric analysis of seeds using image analysis]. Inżynieria Rolnicza nr 7 (18), 175 – 181 [in Polish].

  12. Wojnar L., Majorek M. 1994. Komputerowa analiza obrazu. [Computer image analysis]. Fotobit Design [in Polish].

  13. Zasady oceny nasion w lasach państwowych. [Rules of seed evaluation in the State Forests], 1996. Dyrekcja Generalna Lasów Państwowych, Instytut Badawczy Le¶nictwa, Warszawa [in Polish].

*The paper was supported by the State Research Committee, grant 5 P06H 077 19: "Analysis of the sorting criteria for forest tree seeds"
Paweł Tylek, Józef Walczyk
Department of Forest Works Mechanisation
Agriculture University in Cracow
Al. 29-Listopada 46, 31-425 Cracow, Poland
tel.: +4812 4119144 wew. 344, 363
e-mail: rltylek@cyf-kr.edu.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed ‘Discussions’ in each series and hyperlinked to the article.


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