A mathematical model for the evaluation of cooperation and competition effects in intercrops
Agnieszka Klimek-Kopyra , Tadeusz Zając , Krzysztof Rębilas
AbstractExperimental results showing cooperation–competition interactions in dual-component crops for mix-tures created from Pisum sativum L. (pea), Vicia sativa L. (spring vetch) and Linum usitatisimum L. (linseed) are studied by means of a mathematical model describing the plant interactions. The model introduces parameters enabling to distinguish competition and cooperation between the species in the crop. The model parameters are established on the basis of the entire vegetation period of plants, so they provide exhaustive characteristics of the plant interactions in the mixtures. The model factors allow the esti-mation of the mixtures with respect to the final biomass yield as well. The experimental data verify possible economic benefits from the proposed plant mixtures and allow to critically check the beliefs that legumes improve the field productivity. Additionally, for comparison with the biomass yield, the seed yield is analyzed in the respective crops. Especially, it is indicated that the increased biomass yield for linseed in the mixture with a leguminous plant is accompanied with a decrease of the seed yield for this species. As concerns pea in the mixture with linseed, a decrease in the pea biomass was registered when compared to the sole crop but at the same time an increase in the seed yield was achieved in the mixture. No influence on the biomass of the spring vetch was noticed when it was cultivated with linseed but its seed yield appeared to be diminished with respect to the sole crop.
|Journal series||European Journal of Agronomy, ISSN 1161-0301, (A 45 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Growth model, Mixture crops, Cooperation, Competition, Biomass, Seed yield|
|ASJC Classification||; ;|
|Publication indicators||= 6; : 2013 = 1.869; : 2013 = 2.918 (2) - 2013=3.239 (5)|
|Citation count*||3 (2016-07-31)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.