Evaluation of plant density and yield interaction in maize production considering risk

Citation
P. Drimba et al., Evaluation of plant density and yield interaction in maize production considering risk, CEREAL RES, 28(3), 2000, pp. 315-321
Citations number
15
Categorie Soggetti
Agriculture/Agronomy
Journal title
CEREAL RESEARCH COMMUNICATIONS
ISSN journal
01333720 → ACNP
Volume
28
Issue
3
Year of publication
2000
Pages
315 - 321
Database
ISI
SICI code
0133-3720(2000)28:3<315:EOPDAY>2.0.ZU;2-W
Abstract
In our polyfactorial 4-year long experiment, which was carried out on chern ozem soil with lime deposits at the Experimental Farm of Debrecen Universit y of Agricultural Sciences, we wanted to find out that out of four differen t plant densities (N1=60, N2=70, N3=80, N4=90 thousand plant ha(-1)) beside s a fixed and most advantageous manuring level and tillage method, which on e is the most favourable in irrigated and non irrigated treatment. Our aim was to choose the plant density by which a favourable yield can be achieved and the yield risk of which is acceptable for the decision maker. By using both mean (E) - variance (V) and stochastic dominance (SD) criteria we cam e to the same conclusion. In non-irrigated treatment N1 and N2 gave the bes t results for risk-averse decision makers but on the basis of neither crite rion could we decide an order between the two plant densities. In the case of irrigated cultivation both criteria proved that the most advantageous pl ant density with regard to yield and its risk was N2 with 70 thousand plant ha(-1). With the E-V criterion we use only mean value and variance parameters to de scribe the effects of plant density, while with the SD criteria it is possi ble to make comparisons on the whole range of the crop. With smaller number of data the use of the E-V, while with larger data number the use of the S D criterion is suggested. We will get the same results from the use of the two criteria only if the factors and conditions of cultivation are well rep resented in our database.