Weed emergence in autumn under temperate conditions

Calado, José; Basch, Gottlieb; Carvalho, Marina Vieira de

doi:10.1590/s0100-83582011000200012

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Data were shown as the mean ± SE (n = 8). * and ** indicate significant differences (P \ 0.05 and P \ 0.01, respectively) between F1 hybrid and its wild progenitor separated using a t-test for independent samples (Calado et al 2011). In our study, all crossed seeds obtained from maternal wild soybeans and transgenic soybeans emerged at 13.33-63.33%, indicating that these crossed seeds were viable.…”

Section: Emergence Ratementioning

confidence: 50%

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Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

Liu

Sheng

et al. 2021

Transgenic Res

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The releasing of transgenic soybeans (Glycine max (L.) Merr.) into farming systems raises concerns that transgenes might escape from the soybeans via pollen into their endemic wild relatives, the wild soybean (Glycine soja Sieb. et Zucc.). The fitness of F1 hybrids obtained from 10 wild soybean populations collected from China and transgenic glyphosate-resistant soybean was measured without weed competition, as well as one JLBC-1 F1 hybrid under weed competition. All crossed seeds emerged at a lower rate from 13.33–63.33%. Compared with those of their wild progenitors, most F1 hybrids were shorter, smaller, and with decreased aboveground dry biomass, pod number, and 100-seed weight. All F1 hybrids had lower pollen viability and filled seeds per plant. Finally, the composite fitness of nine F1 hybrids was significantly lower. One exceptional F1 hybrid was IMBT F1, in which the composite fitness was 1.28, which was similar to that of its wild progenitor due to the similarities in pod number, increased aboveground dry biomass, and 100-seed weight. Under weed competition, plant height, aboveground dry biomass, pod number per plant, filled seed number per plant, and 100-seed weight of JLBC-1 F1 were lower than those of the wild progenitor JLBC-1. JLBC-1 F1 hybrids produced 60 filled seeds per plant. Therefore, F1 hybrids could emerge and produce offspring. Thus, effective measures should be taken to prevent gene flow from transgenic soybean to wild soybean to avoid the production F1 hybrids when releasing transgenic soybean in fields in the future.

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Section: Emergence Ratementioning

confidence: 50%

“…The growth cycle of annual plants begins with the germination of seeds. Plant species with annual life cycles completely depend on seed germination (Calado et al 2011 ). In our study, all crossed seeds obtained from maternal wild soybeans and transgenic soybeans emerged at 13.33–63.33%, indicating that these crossed seeds were viable.…”

Section: Discussionmentioning

confidence: 99%

Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

Liu

Sheng

et al. 2021

Transgenic Res

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“…Além dos fatores citados, a concentração de oxigênio é importante para a germinação, visto que grande parte das espécies não apresenta capacidade de germinar sob condição de hipoxia. Então, a temperatura do solo, luz, disponibilidade de água e composição do ar (oxigênio, dióxido de carbono) são essenciais para o início e continuidade do crescimento de espécies vegetais, particularmente em relação à germinação e emergência das plantas (Calado et al, 2011). Assim, a partir de informações climáticas, pode-se inferir qual o nível de risco de infestações de plantas daninhas nas áreas agrícolas.…”

Section: Fatores Ambientais Que Influenciam O Fluxo De Emergênciaunclassified

Modelagem matemática do fluxo de emergência de plantas daninhas: ferramenta para decisão no manejo de cultivos

2018

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O surgimento de biótipos de plantas daninhas resistentes a herbicida e o aumento da pressão social para reduzir sua utilização, criou a necessidade de desenvolver ferramentas para aperfeiçoar a aplicação de herbicidas e melhorar o controle de plantas daninhas. Desta forma, o desenvolvimento de modelos de emergência de plantas daninhas tornou-se crucial para o desenvolvimento de estratégias de gerenciamento em áreas agrícolas. Esta revisão tem por objetivo apresentar os fatores que influenciam o fluxo de emergência de plantas daninhas, os principais modelos utilizados, os procedimentos da modelagem e os impactos práticos de sua utilização no manejo. O fluxo de emergência das plantas daninhas correlaciona-se diretamente com padrões de resposta das sementes à interferência dos fatores ambientais e práticas culturais. Os modelos de emergência empíricos e mecanicistas desenvolvidos permitem prever a emergência de plantas daninhas em diferentes anos e regiões geográficas, baseados em condições climáticas e ecofisiológicas. Os modelos mecanicistas são mais complexos e permitem a melhor compreensão sobre a emergência de plantas daninhas, enquanto modelos empíricos apresentam a simplicidade e a flexibilidade necessária para a tomada de decisão de controle. O conhecimento do fluxo de emergência de plantas daninhas permite desenvolver estratégias de manejo que proporcionam maior habilidade competitiva à cultura e, em decorrência, menores perdas de produtividade; bem como a seleção de medidas de controle que diminuam a utilização de herbicidas, a contaminação ambiental e aprimorem as tecnologias utilizadas na agricultura.

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“…The weed emergence flow is influenced by edaphoclimatic conditions, soil management and herbicide application, varying according to species, seed response patterns in relation to interference from environmental factors and cultural practices (ZANDONA et al, 2018). It can be said that soil temperature, light, water and air composition with oxygen and carbon dioxide are fundamental to the seed germination and seedling emergence processes (CALADO et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Freitas et al this temperature is considered optimal when it allows the greatest potential for germination in the shortest time. Light is also considered another important factor, since light intensity, wavelength and photoperiod can determine seed germination (CALADO et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Light, temperature and sowing depth on germination of garden spurge

et al. 2021

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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 constant temperatures of 20, 25, 30 and 35 ºC, either in the dark or under continuous light. Daily germination assessments were performed. The percentage of germinated seeds in the 10-day period and the germination speed index (GSI) were calculated. In the second trial, carried out in greenhouse conditions, 100 seeds were planted, under six levels of seeding depth (0, 1, 2, 3, 4 and 5 cm) and three soil cover conditions: no straw, under black oats (Avena strigosa) straw and under corn (Zea mays) straw. Daily plant emergence was counted along 30 days and total emergence and GSI were calculated. Germination of C. hirta seeds occurs both in the presence and absence of light. For the highest temperature, both increased germination and GSI were reported in the presence of light. The highest levels of emergence were obtained with the absence of plant cover and under corn straw at 0 cm depth. The presence of black oat straw on the soil reduced the emergence of C. hirta.

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Weed emergence in autumn under temperate conditions

Cited by 7 publications

References 18 publications

Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

Modelagem matemática do fluxo de emergência de plantas daninhas: ferramenta para decisão no manejo de cultivos

Light, temperature and sowing depth on germination of garden spurge

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