Abstract

MORENO-PRECIADO, Oscar Eduardo  and  BALAGUERA-LOPEZ, Helber Enrique. Characterization of the weed community and its diversity in a statistical modeling in peach (Prunus persica (L.) Batsch.) orchard. rev.udcaactual.divulg.cient. [online]. 2021, vol.24, n.1, e1734.  Epub Apr 21, 2021. ISSN 0123-4226.  https://doi.org/10.31910/rudca.v24.n1.2021.1734.

In fruit trees, including peach trees, weeds are one of the main problems that affect productivity and quality, and it is considered necessary to know aspects of the biology and ecology of these species to carry out a correct integral management. The objective of the study was to characterize the weed species present in the peach orchard (Prunus persica (L.) Batsch), by determining the diversity indices and using a geospatial model of their distribution in the field. A commercial Robidoux variety of 4.5ha peach orchard was selected, where 15 randomly distributed points were sampled through a 0.25m2 square, with the weed species present in each square, the index of importance value (IVI), dominance index (1-D), Shannon-Wiener (H´) and Pielou (E) were determined. These indices were modeled for spatial variability through local polynomial interpolation. The relative representativeness with the Chao 2 and Jacknife 1 estimators confirmed that 79% and 72% of the weed species were documented, respectively. Twelve species were identified, of which Oxalis corniculata, Modiola caroliniana, Lolium temulentum, and Fuertesimalva limensis presented the highest IVI, and these species are considered as the ones with the greatest interference in crop. The diversity was found to be low, not equitable, and dominated by O. corniculata and M. caroliniana. The geospatial modeling of the diversity indices reported an important variation throughout the crop. This information becomes a useful tool for integral management of weeds in the peach orchards.

Keywords : Competition; Weeds; Shannon-Wiener; Deciduou.

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