Influência de cultivares de arroz e épocas da adubação nitrogenada nas relações de interferência da cultura com cultivar simulador de infestação de arroz-vermelho

Agostinetto, Dirceu; Fleck, Nilson Gilberto; Rizzardi,; Vidal, Ribas Antônio; Costa, Emerson Luis Nunes

doi:10.1590/s0100-83582004000200003

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…The i mean values for high, medium and low technological levels were 1.04, 1.50, and 3.57, respectively (Table 4). Lower values of imean for the high technological level mean that the unit loss (yield loss of one weedy rice per square meter) is lower when management is better carried out by farmers (Agostinetto et al, 2004(Agostinetto et al, , 2007. Differently, in the experiments or treatments classified as low technological level, the i mean coefficient was greater, which may be related to the emergence of the weed before the crop, or may be due to the lower environmental carrying capacity, defined as the environment's capacity for supporting lower plant density.…”

Section: Resultsmentioning

confidence: 99%

Introducing rice yield loss caused by weed competition into the SimulArroz model

Richter

Streck

Zanon

et al. 2019

Pesq. agropec. bras.

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The objective of this work was to model weedy rice (Oryza sativa) and barnyard grass (Echinochloa spp.) competition with flood-irrigated rice, introducing it as a submodule into the SimulArroz model. The competition of both weeds with irrigated rice was modeled using the rectangular hyperbola equation. The “i” and “a” coefficients of the rectangular hyperbola for each of these weeds were obtained from the literature and from field experiments carried out in the state of Rio Grande do Sul, Brazil. In SimulArroz, yield loss was applied to penalize yield in all three technological levels (high, medium, and low) of physiological maturity. For weedy rice, the coefficient values of imean for the high, medium, and low technological levels were 1.04, 1.50, and 3.57 respectively, and, for barnyard grass, 4.70, 10.49, and 15.51 respectively. Coefficient “a” was 100 for weedy rice, and amean values for barnyard grass were 101.63, 104.92, and 96.88 for the high, medium, and low levels, respectively. The yield loss approach was suitable to model the competition of weedy rice and barnyard grass with irrigated rice. The submodule yield loss caused by the competition of weedy rice and barnyard grass with irrigated rice improves the predictive capacity of the SimulArroz model.

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Section: Resultsmentioning

confidence: 99%

Introducing rice yield loss caused by weed competition into the SimulArroz model

Richter

Streck

Zanon

et al. 2019

Pesq. agropec. bras.

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“…Regarding the rice cultivation practices there are no consensus about technical features that are correlated with the competitive ability among weeds [3]. Systems that suffers with intrageneric and/or intraspecific competition explores the same niche that gives competitive advantage for the weed [4] is the actual problem found in the rice and red rice crop in Brazil [5]. Weed management can be done directly or indirectly.…”

Section: Highlightsmentioning

confidence: 99%

Possible Metsulfuron Herbicide Detoxification by a Oryza sativa L. Glutathione S-transferase Enzyme.

Amador

Silva

Nadvorny

et al. 2020

Braz. arch. biol. technol.

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Rice (Oryza sativa L.) is one of the most important crops in the world, and it is considered the primary source of nutritional layout in developing countries in Asia. The glutathione S-transferases (GSTs) superfamily confers to rice protection against biotic and abiotic stress, and herbicide resistance. However, the three-dimensional structure of a GST Tau class, is unsolved. The objectives of this work were to develop a reliable comparative model for the s-transferase glutathione class Tau 4 from rice, and simulate docking interactions, against herbicides bentazon and metsulfuron. Results showed that the predicted model is reliable and has structural quality. Ramachandran plot set 91.9% of the residues in the most favored regions. All complexes showed negative binding energies values; and metsulfuron docked to the glutathione tripeptide, and it represents a possible insilico evidence of glutathione conjugation with this herbicide.

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Estimativa das perdas de produtividade de grãos em cultivares de arroz (Oryza sativa) pela interferência do capim-arroz (Echinochloa spp.)

Galon

Agostinetto²,

Moraes

et al. 2007

Planta daninha

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e DAL MAGRO, T.2 RESUMO -Objetivou-se com este trabalho avaliar o grau de interferência do capim-arroz em cultivares de arroz irrigado e comparar variáveis explicativas, visando identificar aquela que propicia melhor ajuste dos dados a modelo matemático. Para isso, foi conduzido experimento a campo no ano agrícola 2005/06, com cultivo de arroz em sistema convencional. Os tratamentos foram constituídos por seis cultivares de arroz com diferentes durações do ciclo de desenvolvimento e por dez populações de capim-arroz. As variáveis respostas foram avaliadas aos 28 dias após a emergência do arroz. O modelo da hipérbole retangular foi utilizado para descrever a relação entre perda de produtividade de grãos de arroz e variáveis explicativas população de plantas, massa da matéria seca da pare aérea, cobertura do solo e área foliar. As perdas de produtividade de grãos de arroz devidas à interferência do capimarroz podem ser estimadas satisfatoriamente pelo modelo da hipérbole retangular. Os cultivares de arroz IRGA 421, 416 ou 417 foram os mais competitivos, obtendo-se adequado ajuste dos dados ao modelo testado para todas as variáveis avaliadas. A variável população de plantas de capim-arroz apresenta melhor ajuste ao modelo do que massa da matéria seca da parte aérea, cobertura do solo ou área foliar. Palavras-chave: competição, modelo empírico, variáveis explicativas. ABSTRACT -The objectives of this research

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Influência de cultivares de arroz e épocas da adubação nitrogenada nas relações de interferência da cultura com cultivar simulador de infestação de arroz-vermelho

Cited by 7 publications

References 17 publications

Introducing rice yield loss caused by weed competition into the SimulArroz model

Introducing rice yield loss caused by weed competition into the SimulArroz model

Possible Metsulfuron Herbicide Detoxification by a Oryza sativa L. Glutathione S-transferase Enzyme.

Estimativa das perdas de produtividade de grãos em cultivares de arroz (Oryza sativa) pela interferência do capim-arroz (Echinochloa spp.)

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