Reproductive period

Although the differentiation and abortion of vegetative tillers is still proceeding, the process of yield structure formation is practically terminated. Shoot system has no more the adaptation function, which is now provided by ear structures and reproductive organs. Adaptation proceeds by grain filling; the importance of physiological processes taking part in it is increasing. These are usually explained by the theory of source x sink [37,55,56], which has been long applied in scientific papers oriented to yield formation in cereal crops. It is generally accepted that biomass of productive stems at anthesis correlates with the number of grains per m2, and the duration of leaf area correlates with the of 1000-grain weight [36].

Analysis of stand structure was followed by analyses of yield structure. It was logical that in winter wheat (Table 9) higher yield was obtained in variant B compared with variant A by 15.7 % in Zabcice and by 14.8 % in Kromeriz, due to higher number of ears and kernels per m2. Yield differences among variants were just under the limits of statistical significance (Table 11), on the other hand, the effects of year and locations on yield were highly significant. Difference was found between the variants in 1000-grain weight. In spring barley, the highest yield at both locations was reported in variant D and the lowest in variant E (Table 10), which was in accordance with the results of stand structure analyses. Yield differences among the variants were highly significant (Table 12). The effect of year on the yield was also statistically highly significant but the effect of location was only statistically significant. Similarly to winter wheat, the highest number of ears and grains per m2 (Table 10) was formed in the best performing variant D. However, the highest number of grains in ear (21.14) was found in Kromeriz, and high values of 1000-grain weight (44.79 g in Zabcice and 44.34 g in Kromeriz) were found at both locations unlike of winter wheat. Variant C in Zabcice and E in Kromeriz were the least-yielding. They were characterized by the lowest number of grains per m2 and the lowest 1000-grain weight. The results indicate an apparent effect of different pedological-climatic conditions of the locations on grain yield formation. Under drier climatic conditions in Zabcice, higher seeding rate had a positive effect on yield, while at the more productive location of Kromeriz with more balanced ratio of temperatures and precipitation, lower seeding rate in combination with N fertilization was beneficial. High density of plants in variant E in Kromeriz caused obviously a long-term N deficiency, which resulted in higher variability of weight in productive tillers at ripening.

The results also confirmed high yield determination by the number of grains per m2, which corresponds with the data from literature. Further, negative correlation between 1000-grain weight and both ear number per m2 and yield was confirmed in winter wheat. This can be explained by modular structure of cereal plants. High yields are usually obtained by higher

Zabcice

Kromeriz

Parameter / Variant

A

B

A

B

Number of ears per 1 m2

374

456

543

665

Number of grains per ear

34.85

31.79

31.51

31.82

Number of grains per m2

12 928

14 516

16 875

21 149

1000-grain weight (g)

38.17

41.26

42.78

39.76

Grain yield (g. m-2)

516

597

718

824

Table 9. Winter wheat yield components in Zabcice (two in Kromeriz (three-year averages; 2005-2007)

-year averages; 2006 and 2007),

and

Parameter / Variant

Zabcice

Kromeriz

C

D

E

F

C

D

E

F

Number of ears per m2

560

634

630

610

545

715

588

679

Number of grains per ear

19.88

19.47

19.78

20.33

18.55

21.14

17.17

19.84

Number of grains per m2

11 284

12 650

12 656

12 316

10 117

15 044

10 179

13 439

1000-grain weight (g)

43.92

44.79

44.00

42.70

44.55

44.34

41.41

43.01

Grain yield (g. m-2)

507

583

575

540

451

668

420

576

Table 10. Spring barley yield components in Zabcice (tw< in Kromeriz (three-year averages; 2005-2007)

o-year averages; 2005 and 2007), and

Source

Sum of squares

Df Mean

square F-ratio

P-value

Location

25.557

1

25.557

42.37

0.000

Year

56.968

2

28.484

47.22

0.000

Variant

1.935

1

1.935

3.21

0.083

Replication

1.894

3

0.631

1.05

0.386

Residual

18.097

30

0.603

Total

105.014

37

Table 11. Analysi

s of variance of winter wheat yield

Source

Sum of squares

Df

Mean square

F-ratio

P-value

Location

3.965

1

3.965

4.12

0.046

Year

293.027

2

146.513

152.19

0.000

Variant

17.826

3

5.942

6.17

0.001

Replication

0.424

3

0.141

0.15

0.932

Residual

65.466

68

0.963

Total

378.274

77

Table 12. Analysis of variance of spring barley yield

number of ears formed in the plants of a certain stand. Ears in later formed tillers have usually smaller kernels. Then, it is clear that high yields are characterized by high number of grains per m2 and lower 1000-grain weight. Higher 1000-grain weight in variant B in Zabcice (Table 9) can be explained by the fact that the stand was created predominantly by main stems. Number of ears at harvest was lower than the number of germinating seeds sown. In spring barley (Table 10), manifestation of these relationships was not unambiguous either. It is likely due to the fact that compensation processes were not been fully employed as it is evident from low numbers of grains per m2 and grain yields at both locations.

Recently, an interesting discussion on this subject has been reported between Sinclar and Jamieson [57] and Fischer [58]. Both parts consider accumulation of sources till anthesis as important to grain yield determination. However, they differ in their opinion to the hypothesis that in the post-anthesis period yield is predominantly determined by kernel number. Sinclar and Jamieson [57] stated that yield is fundamentally driven by carbon and nitrogen resource accumulation, essentially independent of grain number. Fischer [58] considers the number of grains formed during anthesis, under optimal conditions, as essential for yield formation. Our current and former results concerning grain formation [41] are rather in accordance with the conception of Sinclar and Jamieson [57]. Changes in metapopulations of grains during their formation can be explained based on trophic approach and the rules of plant population biology. The sources for grain formation can be considered analogically to carrying capacity of the environment used to explain processes in plant populations [42].

During the reproductive growth and development, stand structure practically cannot be further influenced. Canopy control should, therefore, be focused on the assessment of the active green area and its heath status. Consequent crop management should predominantly be oriented to maintaining the functionality of the active green area as long as possible with emphasis on the flag leaf and ear supplying assimilates to the forming grains. The following stand parameters can be considered important during the reproductive period:

— number of productive shoots,

— canopy closure,

— total aboveground biomass,

— biomass of productive shoots,

— active green area, its duration and health status,

— resistance to lodging.