Ecophysiological study on weed seed banks and weeds in Cambodian paddy fields with contrasting water availability

Kamoshita, Akihiko; Ikeda, Hiroyuki; Yamagishi, Junko; Ouk, Makara

doi:10.1111/j.1445-6664.2010.00393.x

Cited by 37 publications

(29 citation statements)

References 23 publications

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“…Formation of a seed bank represents an important regeneration component for many species of this family (Leck & Schütz 2005). This result is in agreement with those of similar studies carried out in other tropical regions, such as that conducted by Kamoshita et al (2010), who observed that 86% of species present in the seed banks of 22 rice fields in Cambodia belonged to the Cyperaceae family. In a study conducted in Nepal, Bhatt & Singh (2007) reported that 37% of the species present in the weed seed bank belonged to that same family.…”

Section: Discussionsupporting

confidence: 83%

“…Various studies recently conducted in the tropics have been aimed at identifying weed species in crop fields, in pastures and in the corresponding seed banks (Silva & Dias-Filho 2001;Lacerda et al 2005;Begum et al 2006;Lopes et al 2006;Ikeda et al 2008;Isaac & Guimarães 2008;Andrade et al 2009;Costa et al 2009;Kamoshita et al 2010). However those studies were focused on agribusiness rather than on generating scientific knowledge for use in subsistence farming.…”

Section: Introductionmentioning

confidence: 99%

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Floristic diversity of the soil weed seed bank in a rice-growing area of Brazil: in situ and ex situ evaluation

2013

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The objective of this study was to compare the ex situ and in situ floristic diversity of the soil weed seed bank of a rice field in northeastern Brazil. In a rice field in the county of Bacabal, located in the state of Maranhão, thirty 25-m 2 plots were laid out. From 15 plots, soil samples (6/plot; n = 90) were taken with a soil probe (25 × 16 × 3 cm) and placed in aluminum trays in the greenhouse. From the remaining 15 plots, weed samples (6/plot; n = 90) were taken with the same soil probe. The number of seeds was estimated by germination. We evaluated the numbers of species and individuals, as well as the density, frequency, abundance and importance value (IV) for each species. Diversity was computed by the Shannon index (H'). We recorded 13,892 individuals (among 20 families, 40 genera and 60 species), of which 11,530 (among 50 species) germinated ex situ and 2,362 (among 34 species) germinated in situ. The family Cyperaceae had the highest number of species (16), followed by Poaceae (10). The dominant species, in situ and ex situ, were Schoenoplectus juncoides (IV=47.4%) and Ludwigia octovalvis (IV=34.8%), respectively. Floristic diversity was higher ex situ (H'=2.66). The information obtained here could help determine the infestation potential of these species, which could lead to improved management strategies.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Floristic diversity of the soil weed seed bank in a rice-growing area of Brazil: in situ and ex situ evaluation

2013

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“…Moreover, the ability of vegetative propagation by means of a complex underground system consisting of rhizomes and tubers with many species having underground stolons is a competitive advantage of many species of Cyperaceae (Munhoz & Felfili, 2006). Similar results were reported by Kamoshita et al (2010) who observed that 86% of the species present in the seed bank of 22 rice fields from smallholder rice farmers in Cambodian were from the Cyperaceae family.…”

Section: Resultssupporting

confidence: 76%

“…Research on identification and quantification of weed species germinated in the soil seed bank from cropping fields were carried out by numerous authors (Andrade et al, 2009;Begum et al, 2006;Costa et al, 2009;Gasparino et al, 2006;Ikeda et al, 2008;Isaac & Guimarães, 2008;Kamoshita et al, 2010;Lacerda et al, 2005;Lopes et al, 2006;Mesquita et al, 2014). However, greenhouse or field weed seed bank assessments in rice intercropped with corn fields have not been documented previously.…”

Section: Introductionmentioning

confidence: 99%

Germination, floristic composition and phytosociology of the weed seed bank in rice interropped with corn fields

Mesquita¹,

Andrade²,

Pereira

2016

Agraria

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Germination, floristic composition and phytosociology in the soil weed seed bank are important to know the weed flora and to predict weed infestations. The objective of this research was to assess and to compare germination, the weed flora and phytosociology of the soil weed seed bank in rice intercropped with corn fields in Maranhão State, northeastern Brazil by the germination method in the greenhouse and by weed sampling in the field. Phytosociological parameters computed were frequency, density, abundance and the importance value of each species. Diversity was assessed by the Shannon's Diversity Index. We recorded a total of 1,998 individuals from 40 species, 31 genera and 16 families from which 1,339 individuals germinated in the greenhouse and 659 in the field. Weed density was higher in the greenhouse (878 plants m ). The Cyperaceae family had the highest floristic richness with 12 species. The dominant species based on the importance value were Scleria lithosperma (IV = 37.0%) in the greenhouse and Lindernia crustacea (IV = 27.7%) in the field. Floristic diversity was higher in the greenhouse with H' = 2.66. These results could help to predict weed infestation potential and could lead to improved weed management practices in rice intercropped with corn fields in Maranhão State.Key words: competition, Cyperaceae, importance value, intercropping Germinação, composição florística e fitossociologia no banco de sementes de plantas invasoras em áreas de arroz consorciado com milho RESUMO Germinação, composição florística e fitossociologia de espécies presentes no banco de sementes no solo são importantes para conhecer a flora e prever infestações de plantas invasoras. Objetivou-se avaliar e comparar a germinação, a flora invasora e a fitossociologia no banco de sementes do solo em áreas de arroz consorciado com milho no Estado do Maranhão, pelo método de germinação em bandejas, em casa de vegetação e no campo, pelo método de amostragem de plantas. Os parâmetros fitossociológicos calculados foram frequência, densidade, abundância e o valor de importância para cada espécie. A diversidade foi calculada pelo Índice de Diversidade de Shannon. Registrou-se o total de 1.998 indivíduos de 40 espécies, 31 gêneros e 16 famílias, dos quais 1.339 individuos de 29 espécies germinaram na casa de vegetação e 639 indivíduos de 29 espécies, no campo. A densidade foi maior na casa de vegetação com 878 plantas m -2 . A família Cyperaceae teve a maior riqueza florística com 12 espécies. As espécies dominantes foram Scleria lithosperma (VI = 37.0%) na casa de vegetação e Lindernia crustacea (VI = 27.7%) no campo. A diversidade florística foi maior na casa de vegetação com H' = 2.66. Estes resultados podem contribuir para a previsão de infestações e para subsidiar práticas de manejo de plantas invasoras em áreas de cultivo de arroz consorciado com milho no Maranhão.Palavras-chave: competição, Cyperaceae, consorciação de culturas, valor de importância

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“…When farmers shift to DSR from TPR, the weed flora changes drastically (Rao et al, 2007). DSR fields are more species-rich with greater diversity in weed flora than TPR fields (Tomita et al, 2003;Singh et al, 2008;Kamoshita et al, 2010) due to simultaneous germination of weeds with rice in absence of standing water to suppress weed growth (Gupta et al, 2006;Pathak et al, 2011). Yield loss in DSR due to weed interference may be up to 100% (Singh et al, 2014).…”

Section: Study Site and Soilmentioning

confidence: 99%

Weed management through herbicide application in direct-seeded rice and yield modeling by artificial neural network

Ghosh

Ray

Das

2016

Span. j. agric. res.

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In direct seeded rice (DSR) cultivation, weed is the major constraint mainly due to absence of puddling in field. The yield loss due to weed interference is huge, may be up to 100%. In this perspective, the present experiment was conducted to study the efficacy of selected herbicides, and to predict the rice yield using artificial neural network (ANN) models. The dry weight and density of weeds were recorded at different growth stages and consequently herbicidal efficacy was evaluated. Experimental results revealed that pre-emergence (PRE) herbicide effectively controlled the germination of grassy weeds. Application bispyribac-sodium as post-emergence (POST) following PRE herbicides (clomazone or pendimethalin) or as tank-mixture with clomazone effectively reduced the density and biomass accumulation of diverse weed flora in DSR. Herbicidal treatments improved the plant height, yield attributes and grain yield (2.7 to 5.5 times) over weedy check. The sensitivity of the best ANN model clearly depicts that the weed control index (WCI) of herbicides was most important than their weed control efficiency (WCE). Besides, the early control of weeds is a better prescription to improve rice yield. Differences in sensitivity values of WCI and WCE across the crop growth stages also suggest that at 15, 30 and 60 days after sowing, herbicides most effectively controlled sedges, broad leaves and grasses, respectively. Based on the grain yield and herbicidal WCE, it can be concluded that the combined application of pendimethalin or clomazone as PRE followed by bispyribac-sodium as POST or tank-mixture of clomazone + bispyribac sodium can effectively control different weed flushes throughout the crop growth period in DSR.

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Ecophysiological study on weed seed banks and weeds in Cambodian paddy fields with contrasting water availability

Cited by 37 publications

References 23 publications

Floristic diversity of the soil weed seed bank in a rice-growing area of Brazil: in situ and ex situ evaluation

Floristic diversity of the soil weed seed bank in a rice-growing area of Brazil: in situ and ex situ evaluation

Germination, floristic composition and phytosociology of the weed seed bank in rice interropped with corn fields

Weed management through herbicide application in direct-seeded rice and yield modeling by artificial neural network

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