Как выбрать гостиницу для кошек
14 декабря, 2021
The process of tiller differentiation was evaluated by means of histograms illustrating the frequency distribution of their weights — To respect given size limits of this chapter, only data about the differentiation of tillers evaluated in experimental variants in Kromeriz in 2007 are presented: Graph 4 contains data about winter wheat and Graph 5 informs about spring barley. As shown in these histograms, the process of tiller differentiation was influenced both by the stand density and by an N dose. A higher density of plants and a lack of nitrogen accelerated the process of differentiation and made it also more intensive. The separation of tillers into subgroups of productive and non-productive ones could be identified on the basis of a local minimum. In variants without application of nitrogen (variant A in the experiment with winter wheat and variants C and E in the experiment with spring barley), symptoms of tillers separation were manifested in both crops as early as at the beginning of the stage of stem elongation (BBCH 31). On the other hand, however, the fertilised variants showed in this period a marked shift of values to the left, i. e. the proportion of lighter tillers was increased due to a more intensive tillering, which was supported by nitrogen. The differentiation of tillers appeared in histograms under conditions of a lack of resources (i. e. nitrogen). The lack of resources occurred in stands with a high density of plants (Graph 5, variant E in the experiment with spring barley). Application of nitrogen prolonged processes of differentiation till the stage of heading. From the viewpoint of yield formation, a gradual differentiation of tillers is beneficial because potentially productive tillers can be preserved for a longer time interval. On the other hand, however, too dense stands can suffer from a lack of resources (e. g. during dry periods).
To estimate the production potential and predict the yield, it is an advantage to know the numbers of productive tillers and their critical weight for the transition from the vegetative to the generative stage of growth and development. In our analyses this was done in two different ways:
— basing on the position of local minima in histograms (Graphs 4 and 5),
— by deduction of the strongest tillers (evaluated on the basis of the number of ears at BBCH 91) from their total number.
The observed critical weights of winter wheat and spring barley individual tillers were approximately 2 g and 1.5 g, respectively.
The separation of tillers into two groups, i. e. vegetative and generative (potentially productive) ones enabled us to determine the share of productive and non-productive biomass in the total above-ground biomass of the stand. This value can be an important indicator of the effectiveness of farming inputs into the crop cultivation. Thereafter an analysis of metapopulations of potentially productive tillers was performed.
Further analyses were focused on the evaluation of relationships between populations of productive and non-productive tillers. Correlations between total above-ground biomass and biomass of potentially productive tillers were positive and statistically highly significant while correlations between the total above-ground biomass and the share of the biomass of potentially productive tillers were very variable. Similar values and a similar character of correlations were also between the content of nitrogen in the total above-ground biomass and biomass of potentially productive tillers and also their share in the total aboveground biomass on the other hand (Table 5). Analysis of variability (Table 6) revealed low
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values (i. e. less than a half) of the CV for the proportion of biomass of productive tillers in the total above-ground biomass (ranging from 7.06 to 15.79 % and from 7.37 to 17.46 % for winter wheat and spring barley, respectively) while values of CV for other traits under study ranged from 29.81 to 54.43 %. Analogical correlations calculated on the basis of all and of productive tillers showed a similar character but they were lower (Table 7). Values of CV for correlated traits (Table 8) were mostly higher, including the proportion of productive tillers in their total number (22.85 to 26.11 % and 12.67 to 32.12 % for winter wheat and spring barley, respectively). Basing on this observation, it can be concluded that there is a close relationship between the total above-ground biomass and that of potentially productive tillers already at the stage of stem elongation. Because of a low variability the proportion of potentially productive tillers in the total above-ground biomass can be used for the estimation of a productive potential of the crop. This finding can be useful for more effective methods of canopy control based on spectral characteristics and on indirect estimation of above-ground biomass using the NDVI (Normalized Difference Vegetation Index).
Develop |
Correlation coefficient between |
|||||||||
Crop |
-mental stage BBCH |
n-2 |
Total and productive biomass |
Total biomass and share of productive biomass |
N-content in bio-mass and productive biomass |
N-content in biomass and share of productive biomass |
||||
Winter |
31 |
8 |
0.9111** |
0.0850 |
0.8657** |
0.1841 |
||||
wheat |
37 |
6 |
0.9659** |
-0.3515 |
0.9409** |
-0.1133 |
||||
65 |
8 |
0.9720** |
0.2182 |
0.9130** |
-0.2676 |
|||||
Spring |
31 |
14 |
0.9501** |
-0.7810** |
0.8847** |
-0.7603** |
||||
barley |
37 |
6 |
0.9995** |
0.9657** |
0.9664** |
0.8949** |
||||
55/65 |
18 |
0.9835** |
0.1695 |
0.8743** |
0.3365 |
|||||
Table 5. Relationships in stands of winter wheat and spring barley (*statistical statistical significance) |
significance, ** |
high |
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Develop mental stage |
Trait |
|||||||||
Crop |
n-2 |
Total biomass |
N-content in biomass |
Productive biomass |
Share of productive tillers |
|||||
BBCH |
Mean (g. m-2) |
CV (%) |
Mean (g. m-2) |
CV (%) |
Mean (g. m-2) |
CV (%) |
Mean (g. m-2) |
CV (%) |
||
Winter |
31 |
10 |
1,586 |
33.12 |
8.78 |
39.86 |
1031 |
38.74 |
0.65 |
15.79 |
wheat |
37 |
8 |
3032 |
30.76 |
12.65 |
46.64 |
2667 |
29.81 |
0.89 |
7.06 |
65 |
10 |
3775 |
35.00 |
16.14 |
45.13 |
3533 |
34.31 |
0.94 |
7.57 |
|
Spring |
31 |
16 |
1376 |
39.58 |
6.55 |
36.24 |
1060 |
30.99 |
0.80 |
12.80 |
barley |
37 |
8 |
2430 |
54.43 |
8.03 |
49.95 |
2573 |
50.36 |
0.84 |
17.46 |
55/65 |
20 |
2777 |
38.19 |
9.83 |
34.46 |
2485 |
40.44 |
0.89 |
7.37 |
Table 6. Mean values and coefficients of variation for traits in stands of winter wheat and spring barley |
Correlation coefficient between |
||||||
Crop |
Develop- |
n-2 |
Total number |
Total number |
N-content in |
N-content |
mental |
of tillers and |
of tillers and |
biomass and |
in biomass |
||
stage |
number of |
share of |
number of |
and share of |
||
BBCH |
productive |
productive |
productive |
productive |
||
tillers |
tillers |
tillers |
tillers |
|||
Winter |
31 |
8 |
0.5262 |
-0.5621 |
0.7987** |
0.0123 |
wheat |
37 |
6 |
0.8140** |
-0.7203** |
0.7729* |
-0.6106 |
65 |
8 |
0.8260** |
-0.6578* |
0.8114** |
0.5930* |
|
Spring |
31 |
14 |
0.7107** |
— 0.7505** |
0.5803* |
-0.7458** |
barley |
37 |
6 |
0.3323 |
0.0008 |
0.9156** |
0.8332* |
55/65 |
18 |
0.9007** |
-0.0612 |
0.7669** |
0.1316 |
Table 7. Relationships in stands of winter wheat and spring barley (^statistical significance, ** high statistical significance) |
Trait
Crop Devel°p — n-2 Total number of N-content in Number of Share of mental tillers biomass productive tillers productive stage tillers
Table 8. Average values and coefficients of variation for traits in stands of winter wheat and spring barley |
The stand structure is a result of a simultaneous growth of individual plants within the framework of a population and changes in dependence on dynamics of growth processes, which are limited both spatially and temporally, in the course of the growing season. The temporal limitation results from developmental changes taking place during the life cycle of plants and while the spatial limitation is given by the size of their nutritive area and by available resources. These limitations are mutually interlinked and can stand for each other; this results from the law of "final constant yield" [43]. In practice this means that a shortening of the growing season, and especially of the period of generative growth and development, which is characterized by intensive growth, can be compensated by higher sowing rates and vice versa. An adequate supply of water and nutrients reduces the decrease in numbers of tillers both in dense and thin stands. Under conditions of abundance of resources the highest yields can be obtained in stands with a high productive density, which
can be obtained on the basis of a lower number of plants. This can be explained by the fact that the competition is postponed till the end of the period of stem elongation. This observation corresponds with results of our earlier experiments, in which it was found out that the highest grain yield could be reached on the basis of maximum amount of aboveground biomass and density of productive stems at the minimum density of plants [49].
Corroborated were also conclusions drawn by Muravjev [8] that under favorable conditions the uniformity of stems and ears can be increased by competition induced in the period of stem elongation. Such a competition results in the selection of the strongest and the most vigorous tillers. However, the developmental biology of cereals permits only a relative synchronization of growth and development. Allometry and temporal sequence of the establishment and formation of identical organs (modules) support and work in favor of their increasing variability [3]).
An uneven growth of plants and tillers as well as their competition are the major factors which influence the stand structure. It is very difficult to evaluate directly the intensity of mutual interactions and competition of plants growing together only on the basis of the depletion of available resources [52]. For that reason the ecologists use the size distribution of plants as a suitable indicator of these relationships and of changes taking place in the structure of plant populations. The use of this indicator enabled to characterize the differentiation of tillers and to define relationships between potentially productive tillers on the one hand and non-productive ones on the other.
An effective utilization of growing factors and farming inputs is dependent on the fulfillment of two controversial requirements:
— formation of a maximum possible amount of above-ground biomass,
— establishment of a maximum possible proportion of productive tillers (stems) in the total above-ground biomass.
Basing on our results, it can be concluded that there is a close relationship between the total above-ground biomass and N-content in the total above-ground biomass on the one hand and the biomass of potentially productive tillers already in the period of stem elongation on the other. Because of a low degree of variability it is possible to use the share of potentially productive tillers in the total above-ground biomass for the estimation of overall productive capacity of a stand. This creates preconditions for a more efficient use of indirect methods of canopy assessment on the basis of its spectral characteristics, e. g. when using of the NDVI for optimization of the canopy management in dependence on the intensity of inputs. The obtained results also indicated that the relationships calculated at the level of biomass were more exact than those obtained by counting of the number of tillers. This indicates that values of the NDVI (and possibly also of other spectral canopy characteristics) will enable to obtain more exact estimation of the amount of above-ground biomass (both total and productive) than of its structure (numbers of plants and tillers).
The results also indicate that there is a possibility of the occurrence of various, dynamically changing situations in cereal crops. The population concept applied in studies concerning modular units (tillers) enabled to create a unifying base for these relatively chaotic phenomena. They can therefore be used when studying and testing new methods of efficient and areal screening of the condition of cereal stands by means of spectral characteristic and technologies of remote and terrestrial sensing [23,53,54].