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Registro Completo |
Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Milho e Sorgo; Embrapa Soja. |
Data corrente: |
04/07/2019 |
Data da última atualização: |
04/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GAZZIERO, D. L. P.; ADEGAS, F. S.; SILVA, A. F. da; CONCENCO, G. |
Afiliação: |
DIONISIO LUIZ PISA GAZZIERO, CNPSO; FERNANDO STORNIOLO ADEGAS, CNPSO; ALEXANDRE FERREIRA DA SILVA, CNPMS; GERMANI CONCENCO, CPACT. |
Título: |
Estimating yield losses in soybean due to sourgrass interference. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Planta Daninha, v. 37, article e019190835, 2019. |
Páginas: |
10 p. |
DOI: |
10.1590/s0100-83582019370100047 |
Idioma: |
Inglês |
Notas: |
Título em português: Estimativas de Perdas de Rendimento na Soja Devido à Interferência do
Capim-Amargoso. |
Conteúdo: |
Efficient management of sourgrass is one of the main challenges faced by Brazilian soybean farmers. Biological and ecological characteristics of this weed, as well as wide distribution of glyphosate-resistant biotypes, make it difficult to control this species. The objective of this work was to estimate interference of sourgrass in soybean yield. Seven experiments were conducted during three consecutive years (2012/2013, 2013/2014 and 2015/2016 cropping seasons); six of them were on-farm trials where sourgrass infestation was mainly originated from clump regrowth, while infestation originated from seeds in one trial. Data from all sites and experiments were submitted to a combined analysis, according to the study factors and variables, to determine the greatest number of information points for the variable under each circumstance. To each data set, a 1st degree polynomial regression was fit, with a 95% confidence interval. The degree of sourgrass interference varies according to plant origin (seed or clump regrowth) but, in both cases, yield losses are directly correlated with sourgrass densities, aboveground dry mass accumulation and soil coverage. Plants coming from clumps tend to cause higher yield losses than those originated from seeds. These data highlight the importance of performing proper management of sourgrass, especially in its initial stages of development, in view of the high level of losses that perennial plants can cause to crops. |
Palavras-Chave: |
Digitaria insularis; Glyphosate-resistant weed; Perennial; Planta daninha. |
Thesagro: |
Erva Daninha; Glycine Max. |
Thesaurus Nal: |
Glyphosate; Perennial weeds. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199463/1/Estimating-yield.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/201746/1/CONCENCO-RPD-Yield-Losses-Soybean-Sourgrass.pdf
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Marc: |
LEADER 02379naa a2200289 a 4500 001 2110565 005 2019-10-04 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1590/s0100-83582019370100047$2DOI 100 1 $aGAZZIERO, D. L. P. 245 $aEstimating yield losses in soybean due to sourgrass interference.$h[electronic resource] 260 $c2019 300 $a10 p. 500 $aTítulo em português: Estimativas de Perdas de Rendimento na Soja Devido à Interferência do Capim-Amargoso. 520 $aEfficient management of sourgrass is one of the main challenges faced by Brazilian soybean farmers. Biological and ecological characteristics of this weed, as well as wide distribution of glyphosate-resistant biotypes, make it difficult to control this species. The objective of this work was to estimate interference of sourgrass in soybean yield. Seven experiments were conducted during three consecutive years (2012/2013, 2013/2014 and 2015/2016 cropping seasons); six of them were on-farm trials where sourgrass infestation was mainly originated from clump regrowth, while infestation originated from seeds in one trial. Data from all sites and experiments were submitted to a combined analysis, according to the study factors and variables, to determine the greatest number of information points for the variable under each circumstance. To each data set, a 1st degree polynomial regression was fit, with a 95% confidence interval. The degree of sourgrass interference varies according to plant origin (seed or clump regrowth) but, in both cases, yield losses are directly correlated with sourgrass densities, aboveground dry mass accumulation and soil coverage. Plants coming from clumps tend to cause higher yield losses than those originated from seeds. These data highlight the importance of performing proper management of sourgrass, especially in its initial stages of development, in view of the high level of losses that perennial plants can cause to crops. 650 $aGlyphosate 650 $aPerennial weeds 650 $aErva Daninha 650 $aGlycine Max 653 $aDigitaria insularis 653 $aGlyphosate-resistant weed 653 $aPerennial 653 $aPlanta daninha 700 1 $aADEGAS, F. S. 700 1 $aSILVA, A. F. da 700 1 $aCONCENCO, G. 773 $tPlanta Daninha$gv. 37, article e019190835, 2019.
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Registro original: |
Embrapa Soja (CNPSO) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
23/03/2023 |
Data da última atualização: |
27/03/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
MAIA, A. de H. N.; FIRPO, M.; ÁVILA, A.; COELHO, C. |
Afiliação: |
ALINE DE HOLANDA NUNES MAIA, CNPMA; MÁRI FIRPO, CPTEC/INPE; ANA ÁVILA, CEPAGRI/UNICAMP; CAIO COELHO, CPTEC/INPE. |
Título: |
Spatial variability of rainy season onset characteristics across the São Paulo state, Brazil. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: CONFERENCE ON STATISTICS AND DATA SCIENCE, 2., 2019, Salvador, BA. Book of abstracts... Salvador, BA: Federal University of Bahia, Salvador, 2019. p. 59. |
Idioma: |
Inglês |
Palavras-Chave: |
Across; Characteristics; São Paulo; Spatial. |
Thesaurus NAL: |
Stand characteristics. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152623/1/PC-Maia-Book-CPS2.3-Spatial-.pdf
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Marc: |
LEADER 00694nam a2200193 a 4500 001 2152623 005 2023-03-27 008 2019 bl uuuu u00u1 u #d 100 1 $aMAIA, A. de H. N. 245 $aSpatial variability of rainy season onset characteristics across the São Paulo state, Brazil.$h[electronic resource] 260 $aIn: CONFERENCE ON STATISTICS AND DATA SCIENCE, 2., 2019, Salvador, BA. Book of abstracts... Salvador, BA: Federal University of Bahia, Salvador, 2019. p. 59.$c2019 650 $aStand characteristics 653 $aAcross 653 $aCharacteristics 653 $aSão Paulo 653 $aSpatial 700 1 $aFIRPO, M. 700 1 $aÁVILA, A. 700 1 $aCOELHO, C.
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Embrapa Meio Ambiente (CNPMA) |
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