Materials and methods Directory UMM :Data Elmu:jurnal:E:European Journal of Agronomy:Vol12.Issue1.Jan2000:

4 M. Hu¨hn European Journal of Agronomy 12 2000 1–12 variables are included in the analyses. The mean of resistances, strong branching ability Liberator. The cultivars were randomly arranged on the test value for trait per area K can be approximated site. Several problems arose with Phoma lingam by Hu¨hn, 1998, 1999a,b: and Verticilium dahliae. Herbicide, fungicide and insecticide treatments as well as plant nutrition K E 9 A 9 + E 9 A 9 v A − r EA v E v A + 3v 3A, 5 regimes were applied according to standard cul- tural practices. The 13 plots used for this study with E : and A:=means of E and A; v E and were selected from a large long-term field experi- v A = coefficients of variation of E and A; ment used for testing agronomic practices for r EA = correlation coefficient between E and A. monocultures of winter oilseed rape. The plots For constant individual plant areas with were selected according to a differentiation of the v A = 0, the mean value for trait per area reduces actual plant population densities at harvest, i.e. to the commonly used estimate E : A:. In analogy they were chosen to obtain a range of mean to the discussion of approach 1, it seems reason- population densities rather than to obtain a range able to express all interesting terms relative to the of within-plot variabilities. As a consequence of ratio E : A:=100 . For the relative amount of these requirements, the plot numbers were not the second term on the right-hand side of Eq. 5, constant Table 1. Dinter 1991 describes the one obtains: experimental details site, design, crop manage- ment, weather conditions, cultivars, husbandry Second term of Eq. 5 details, disease assessment, etc.. = 100v A − r EA v E v A + 3v 3A relative to E9A9. Separately for each individual plot, a system of Cartesian coordinates was introduced with axes at 6 the left and lower borders of the plots. Cartesian This term can be interpreted as the effect of coordinates were determined at harvest for each variable individual plant spaces on the mean value individual plant in the plot. In addition, the coordi- of trait per area — expressed relative to E : A:. nates of the adjacent neighbouring plants from out- Again, the second term in Eq. 5 can also be side were determined. Based on these coordinates, expressed relative to the total K. the Thiessen polygons were constructed, and their The main objective of this study is to obtain a areas were calculated geometrically unit: cm 2. deeper insight into the relationships between the The numbers of plots per cultivar and the mean value of trait per area and the uniformity of numbers of plants per plot were not constant the spatial distribution of the individual plants Table 1. In addition to the separate analyses for over the area for agronomic traits of economic each individual plot, the different plots of the same interest. cultivar were collected into one data set and ana- lysed. Finally, the analysis was also carried out for the collected total plant material over plots and

3. Materials and methods

over cultivars. Analyses, therefore, were per- formed for 17 data sets. Three German cultivars Ceres, Falcon, At harvest August 1991, each plant was har- Liberator of winter oilseed rape Brassica napus vested individually. The following traits were mea- L. were grown in Hohenschulen, a location near sured on a per plant basis: grain yield g, number Kiel, Schleswig-Holstein northern part of of pods, total dry matter g and 1000-grain weight Germany on a sandy loam soil in August 1990 g. The traits grain yield per pod g, harvest index plot size: 1 m 2; row distance: 16 cm; density: 60 =ratio of grain yield and total dry matter, number seeds per m 2. Some of the characteristics of the of seeds and number of seeds per pod were derived cultivars worth mentioning are: high and stable from the measurements. To calculate the 1000-grain yield, regeneration ability after leaf losses during weight, a sample of 1000 seeds was counted and winter Ceres, yield stability, dry stress tolerance weighted. Some methodological information on moisture processing may be of interest. The above- Falcon and high oil and seed yield, broad range 5 M. Hu¨hn European Journal of Agronomy 12 2000 1–12 Table 1 Numbers of plots per cultivar, numbers of plants per plot and parameters means, standard deviations, coefficients of variation of the frequency distributions of individual plant areas Cultivar Plot Number of Frequency distribution of individual plant areas plants Mean A : Standard deviation s A Coefficient of variation v A Ceres 1 22 454.34 200.04 44.03 2 43 220.10 100.16 45.51 3 34 305.23 128.33 42.04 Falcon 1 40 255.05 131.84 51.69 2 25 355.14 190.55 53.65 3 34 246.43 120.22 48.79 4 34 261.89 119.40 45.59 5 21 420.79 204.71 48.65 6 9 484.34 217.43 44.89 7 13 660.53 188.42 28.53 Liberator 1 31 294.35 119.09 40.46 2 32 291.21 99.99 34.34 3 28 300.02 138.73 46.24 Ceres All plots 99 301.39 163.02 54.09 Falcon All plots 176 330.37 193.94 58.70 Liberator All plots 91 294.99 118.14 40.05 Total All plots 366 313.74 169.92 54.16 ground parts of the plants were separated into seeds null hypothesis: zero correlation and for a com- parison of the goodness-of-fit for the two and remaining parts after drying 72 h, 35 °C . Seed approaches based on Eqs. 3 and 4 have been weight and moisture content were measured, and carried out by elementary statistical procedures grain yield and 1000-grain weight were calculated Sachs, 1969 for error probabilities a=5 and by eliminating the moisture content. Total dry a= 1 , respectively. matter was measured after drying 105°C until weight constancy. The plants were harvested at rapeseed growth stage No. 87 according to the

4. Results and discussion