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But still in the predicted the grain quality, still not have different plant type of winter wheat grain quality prediction model.
Grain qualityAt harvest of crops, the wheat plant samples were collected and threshed manually for grain quality determination.
The grain quality of winter wheat grain of all the treatments was determined with the DN7200 (Germany).the index contain crude protein, wet gluten.
Accumulation of plant nitrogen is the only direct resource for grain quality that forms when nitrogen is physically transferred into grains and filling stage.
RVI for predicted the flat type wheat grain quality at anthesis.

Implantation of aluminum into titanium has resulted in formation of the whole number of phases having various crystal lattices, like b-Ti, TiAl3, Ti3Al, TiC and TiO2.
The number of press moldings was equal to three.
Along with the α-Ti grains in the structure of alloy there are b-Ti grains. b-Ti grains also have the form of lamellar precipitates, located along the longitudinal boundaries of α-Ti grains.
Conducted studies demonstrated that aluminum ion implantation into titanium resulted in formation of the number of phases: Ti3Al, TiAl3, TiO2, TiC.
Implantation has lead to the formation of a number of secondary phases.

The recrystallization of the material can be considered to be a number of processes that correspond to two separate stored energy release peaks.
At the same time, some elongation of grains occurred in the matrix.
Elongated matrix grains appeared because of the reduction of the dislocation density and annihilation of some low-angle grain boundaries (LAGBs) between chains of subgrains located in layers parallel to the sheet plane.
LAGBs in the elongated thin matrix grains created a rather poorly developed subgrain structure.
The recrystallization peaks are marked in the Fig. 2 with numbers 1 and 2.

The influence of grain size on the lattice constant in some nanocrystallites of perovskite structure was studied in experiment.
It was found that their lattice constants all decreased with the decreasing grain sizes.
It was found that the lattice constant increased with the decreasing grain size of some nanocrystallites[5], while some changed inversely[6].
The perovskite structure was a simple cubic lattice, the coordination number of A was 12, B was 8, and forms altogether the apex’s BO6 octahedron.
From Table 1, one could conclude that the lattice constant decreased with the reduction of the grain size for CaMnO3 nanocrystallites.

Due to the incremental character of the process, it consists of a large number of deformation and dwell steps.
Due to the incremental character of the process every point in the ring undergoes a large number of deformation and dwell steps.
Due to the incremental character of the process it consists of a large number of deformation and dwell steps leading to long simulation times.
The number of simulations necessary for the simulation study was nFCCD = 25.
For a full factorial design the number is much higher nFFD = 81 (4 parameters, 3 levels).

The so-called fine grains were identified by grain sizes below 5 mm.
The corner of a grain in all these microstructures has been fixed with (┌), the relative movement of the dot and the cross indicates residual deformation The residual deformation was estimated as, (Eq.1) where Ddi and NT represent, the Dd value for the ‘ith’ grain and the total number of grains respectively.
(a)Percentage (%) retained martensite & austenite GAM (grain average misorientation) as a function of number of thermal cycles in sample D.
(b) Percentage (%) retained martensite & Average values of Dd (table1) ) as a function of number of thermal cycles in sample D.
These deformations were related to change in grain size Dd for a grain before and after the thermal cycle.

When an austenite grain boundary intersects one or several TiN particles the pinning forces (FP) exerted by these particles impede the movement of the grain boundary.
FR and FP involves a number of difficulties, since the parameters upon which these forces depend are not easy to estimate.
The magnitudes of torsion, torque and number of revolutions have been transformed into equivalent stress and strain values using Von Mises criterion [3].
Austenite grain size and driving force for grain growth (Fd) at 1300ºC.
Shvindlerman: Grain Boundary Migration in Metals, Ed.

The X-ray analysis [2] showed that the value of microstress weakly depends on number of cycles.
It is recognized that main role in fracture process [6] play dislocation structure, grain boundary precipitates and grains of δ-ferrite [7-8].
In some grains the deformation twins are found to be grouped.
However, there are some grains without twins, or their number is too small.
The microstructure of the steel becomes more complicated in grain interfaces.

The number of rolling pass was 40 and 30 for RT rolling and warm-rolling, respectively.
The number fractions of the two characteristic crystal directions along RD, i.e.
Meanwhile, the number fraction of RD//<001> texture increases from 0.18 in RT rolling to 0.35 in 923K rolling at the tolerance of 15o .
In contrast the number fraction of RD//<110> texture nearly keeps constant at about 0.5 at the different rolling temperatures.
The number fraction of the cube texture increases obviously with rolling temperature.

The microstructure displays austenite grains with a diameter of 100 to 200 µm and a significant number of annealing twins.
In Fig. 3B the number of observed ferrite grains are plotted versus the misorientation angle of the austenite boundary on which they have nucleated.
Only the local maximum of 20°-25° occurs in all three plots, but this is a small effect and hardly significant. 0 50 100 150 200 250 0.0 0.1 0.2 0.3 0.4 0.5 0 400 800 1200 C Grain boundary fraction Normalised number of ferrite grains Number of ferrite grains 62.557.552.547.542.537.532.527.522.517.512.57.52.5 Misorientation angle (°) B A Fig. 3: Discrete plots of A) the distribution of misorientation angles in the austenite phase; B) the number of ferrite grains per misorientation class; C) the number of ferrite grains per misorientation class, normalised to the fraction of the misorientation class.
The plot of the number of ferrite grains vs. misorientation angle showed maxima at the same intervals.
To investigate the potency of the grain boundaries, the number of ferrite grains was normalised by the misorientation distribution.