2021
DOI: 10.1590/0103-8478cr20200764
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Light, temperature and sowing depth on germination of garden spurge

Abstract: Knowledge on weed biology and ecology is fundamental to provide suitable control practices in weed management systems. The objective of this research was to understand the effect of light and temperature on germination of Chamaesyce hirta, as well as to evaluate the effect of depth of seed placement in the soil in the emergence of the plant. Two experiments were conducted. In the first one, in the laboratory, the seeds were placed to germinate in plastic boxes and kept in a B.O.D. germination chamber, under co… Show more

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Cited by 1 publication
(2 citation statements)
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“…The species with the highest abundance was E. hirta (A = 9.36 -Table 2), with a high concentration of weed plants, resulting in a higher importance value index (IVI = 102.69). According to Freitas et al (2021) Euphorbiacea is a family of species with short cycles, tiny inflorescences, and a high potential for seed production. This explains the high incidence of E. hirta in the study area, as described by the ecological parameters (Table 2).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The species with the highest abundance was E. hirta (A = 9.36 -Table 2), with a high concentration of weed plants, resulting in a higher importance value index (IVI = 102.69). According to Freitas et al (2021) Euphorbiacea is a family of species with short cycles, tiny inflorescences, and a high potential for seed production. This explains the high incidence of E. hirta in the study area, as described by the ecological parameters (Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…The results showed that the promising use of multifractal analysis for studying weed plants, as it was possible to identify multifractal patterns related to ecological processes of the different species under study, including seed dispersal ability, dormancy period, and reproduction with a high disseminule production capacity (Gazziero et al, 2015;Freitas et al, 2021). The generalized dimension graph provides information on the spatial variability of measurement values, describing greater and lesser heterogeneity in the system (Posadas et al, 2009;Leiva et al, 2019).…”
Section: Resultsmentioning
confidence: 99%