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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
16/03/2012 |
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Data da última atualização: |
30/10/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RAMOS, N. P.; PACKER, A. P.; VIEIRA, H. B.; MORICONI, W.; ASSIS, M. C. de; ROSSETTO, R. |
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Afiliação: |
NILZA PATRICIA RAMOS, CNPMA; ANA PAULA CONTADOR PACKER, CNPMA; HENRIQUE BARROS VIEIRA, CNPMA; WALDEMORE MORICONI, CNPMA; MARTA CAMARGO DE ASSIS, CNPMA; RAFFAELLA ROSSETTO, APTA. |
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Título: |
Weed population under different amounts of sugarcane straw in São Paulo State, Brazil. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL SUGAR CONFERENCE, 4., 2011. Nova Delhi. Balancing sugar and energy production in developing countries: sustainable technologies and marketing strategies. Proceedings... Nova Delhi: IAPSIT, 2011. p. 127-129. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Maintenance of the straws on the soil surface has been proved essential for environrnental quality of the sugarcane productive system in Brazil. However, this practice requires changes in the current management systems used around the country. This requires the use of tolerant varieties to the presence of straw residue on the soil surface, improvement in fertilization process, and also pest, disease and weeds control. In this context, this study aimed to evaluate the incidence of weed populations in the sugarcane cultivation under different levels of straw, in order to support possible changes in the management of these plants. Treatments were based on five levels of straw left on the soil surface at harvest, as follows: 0% - 25% - 50% - 75% - 100%, arranged in a randomized block design with four replications. The weeds evaluation was performed using the square method randomly thrown on the floor throughout the experiment area, reaching a total of ten samples per plot. This method was used to determine the density (plants/m2) and absolute frequency (%) of the predominant species individuais in three assessments (34, 106 and 177 days after harvesting). It was observed the predominance of the species Cyperus rotundus L. and Cynodon dactylon L. Pers. independently of treatments applied. At 34 days after harvest Cyperus rotundus was the more frequent weed in the treatments with low and no straw respectively, however with 106 pos-harvests the presence of higher levels of straw (75% and 100%) privileged the growth of this species. Results shown that there was a tendency to increase the number of Cyperus rotundus individuais per area with the development sugarcane cycle, due to the increase in the layer of straw left on the soil. MenosAbstract: Maintenance of the straws on the soil surface has been proved essential for environrnental quality of the sugarcane productive system in Brazil. However, this practice requires changes in the current management systems used around the country. This requires the use of tolerant varieties to the presence of straw residue on the soil surface, improvement in fertilization process, and also pest, disease and weeds control. In this context, this study aimed to evaluate the incidence of weed populations in the sugarcane cultivation under different levels of straw, in order to support possible changes in the management of these plants. Treatments were based on five levels of straw left on the soil surface at harvest, as follows: 0% - 25% - 50% - 75% - 100%, arranged in a randomized block design with four replications. The weeds evaluation was performed using the square method randomly thrown on the floor throughout the experiment area, reaching a total of ten samples per plot. This method was used to determine the density (plants/m2) and absolute frequency (%) of the predominant species individuais in three assessments (34, 106 and 177 days after harvesting). It was observed the predominance of the species Cyperus rotundus L. and Cynodon dactylon L. Pers. independently of treatments applied. At 34 days after harvest Cyperus rotundus was the more frequent weed in the treatments with low and no straw respectively, however with 106 pos-harvests the presence of higher levels o... Mostrar Tudo |
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Palavras-Chave: |
Agricultural residue; Cana-de-açúcar; Sugarcane straw. |
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Thesagro: |
Palha; Praga de planta. |
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Thesaurus Nal: |
Soil conservation; Straw; Sugarcane; weeds. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/55898/1/2011AA77.pdf
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Marc: |
LEADER 02714nam a2200277 a 4500
001 1919152
005 2019-10-30
008 2011 bl uuuu u00u1 u #d
100 1 $aRAMOS, N. P.
245 $aWeed population under different amounts of sugarcane straw in São Paulo State, Brazil.$h[electronic resource]
260 $aIn: INTERNATIONAL SUGAR CONFERENCE, 4., 2011. Nova Delhi. Balancing sugar and energy production in developing countries: sustainable technologies and marketing strategies. Proceedings... Nova Delhi: IAPSIT, 2011. p. 127-129.$c2011
520 $aAbstract: Maintenance of the straws on the soil surface has been proved essential for environrnental quality of the sugarcane productive system in Brazil. However, this practice requires changes in the current management systems used around the country. This requires the use of tolerant varieties to the presence of straw residue on the soil surface, improvement in fertilization process, and also pest, disease and weeds control. In this context, this study aimed to evaluate the incidence of weed populations in the sugarcane cultivation under different levels of straw, in order to support possible changes in the management of these plants. Treatments were based on five levels of straw left on the soil surface at harvest, as follows: 0% - 25% - 50% - 75% - 100%, arranged in a randomized block design with four replications. The weeds evaluation was performed using the square method randomly thrown on the floor throughout the experiment area, reaching a total of ten samples per plot. This method was used to determine the density (plants/m2) and absolute frequency (%) of the predominant species individuais in three assessments (34, 106 and 177 days after harvesting). It was observed the predominance of the species Cyperus rotundus L. and Cynodon dactylon L. Pers. independently of treatments applied. At 34 days after harvest Cyperus rotundus was the more frequent weed in the treatments with low and no straw respectively, however with 106 pos-harvests the presence of higher levels of straw (75% and 100%) privileged the growth of this species. Results shown that there was a tendency to increase the number of Cyperus rotundus individuais per area with the development sugarcane cycle, due to the increase in the layer of straw left on the soil.
650 $aSoil conservation
650 $aStraw
650 $aSugarcane
650 $aweeds
650 $aPalha
650 $aPraga de planta
653 $aAgricultural residue
653 $aCana-de-açúcar
653 $aSugarcane straw
700 1 $aPACKER, A. P.
700 1 $aVIEIRA, H. B.
700 1 $aMORICONI, W.
700 1 $aASSIS, M. C. de
700 1 $aROSSETTO, R.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
16/02/2012 |
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Data da última atualização: |
27/02/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
VIEIRA, F. D.; PAIVA, S. R.; YAMAGISHI, M. E. B.; OLIVEIRA, S. R. de M.; HIGA, R. |
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Afiliação: |
FÁBIO DANILO VIEIRA, CNPTIA; SAMUEL REZENDE PAIVA, CENARGEN; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; ROBERTO HIROSHI HIGA, CNPTIA. |
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Título: |
Databases & data integration text mining & information extraction. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional, 2011. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
X-MEETING, 2011. |
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Conteúdo: |
In recent years, with the joint development of biotechnology and bioinformatics, applications that use DNA analysis in the animal breeding area have spread out. In particular, applications that make use of molecular markers of type SNP are among the most important ones. With the recent advances achieved by the DNA sequencing technology, it is possible to identify hundred of thousands of SNPs variants per animal. In this work, we propose a methodology to identify in a dataset a set of SNPs whose allele frequencies certify each of the sheep breeds (Creole, Santa Ines and Morada Nova). We used a dataset of SNP markers provided by the Sheep Genome Consortium International, obtained through the Network of Animal Genomics Embrapa. We applied data mining techniques, especially attribute selection methods and algorithms for generating association rules. The first step was to make the selection of attributes, due to the high number of SNP markers, with almost 60,000 markers for each animal. Subsequently, we applied the Apriori algorithm in order to generate association rules with the purpose of obtaining SNPs whose allelic values could determine the breed that each animal belongs to. The results showed that, with minimal support of 15% and minimum confidence of 90%, some SNPs have values that appear only in a particular breed. The best rules appear at the top of the list due to high values of support and confidence achieved. It was observed that the top 35 associations rules are related to Creole, with support of 30% and confidence of 100% . The first rule indicates that one of the selected markers with a certain a homozigous allele characterizes the breed is Creole, appearing in 22 records (30% of the total, which has 72 records) and 100% confidence, i.e., in 22 times that the marker came up with this value, the breed was related to Creole. The results need to be better evaluated and validated by experts, but they seem to be of great importance for future work. The methodology proposed in this work could be used to support breeding programs for sheep in progeny tests. References MACQUEEN, J. B. (1967). Some Methods for classification and Analysis of Multivariate Observations. MenosIn recent years, with the joint development of biotechnology and bioinformatics, applications that use DNA analysis in the animal breeding area have spread out. In particular, applications that make use of molecular markers of type SNP are among the most important ones. With the recent advances achieved by the DNA sequencing technology, it is possible to identify hundred of thousands of SNPs variants per animal. In this work, we propose a methodology to identify in a dataset a set of SNPs whose allele frequencies certify each of the sheep breeds (Creole, Santa Ines and Morada Nova). We used a dataset of SNP markers provided by the Sheep Genome Consortium International, obtained through the Network of Animal Genomics Embrapa. We applied data mining techniques, especially attribute selection methods and algorithms for generating association rules. The first step was to make the selection of attributes, due to the high number of SNP markers, with almost 60,000 markers for each animal. Subsequently, we applied the Apriori algorithm in order to generate association rules with the purpose of obtaining SNPs whose allelic values could determine the breed that each animal belongs to. The results showed that, with minimal support of 15% and minimum confidence of 90%, some SNPs have values that appear only in a particular breed. The best rules appear at the top of the list due to high values of support and confidence achieved. It was observed that the top 35 associations rules are rela... Mostrar Tudo |
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Palavras-Chave: |
Marcadores moleculares SNP; Mineração de texto; Recuperação da informação; Text mining. |
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Thesagro: |
Base de Dados. |
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Thesaurus NAL: |
Databases; Information retrieval. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03250nam a2200265 a 4500
001 1915906
005 2023-02-27
008 2011 bl uuuu u01u1 u #d
100 1 $aVIEIRA, F. D.
245 $aDatabases & data integration text mining & information extraction.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional$c2011
300 $aNão paginado.
500 $aX-MEETING, 2011.
520 $aIn recent years, with the joint development of biotechnology and bioinformatics, applications that use DNA analysis in the animal breeding area have spread out. In particular, applications that make use of molecular markers of type SNP are among the most important ones. With the recent advances achieved by the DNA sequencing technology, it is possible to identify hundred of thousands of SNPs variants per animal. In this work, we propose a methodology to identify in a dataset a set of SNPs whose allele frequencies certify each of the sheep breeds (Creole, Santa Ines and Morada Nova). We used a dataset of SNP markers provided by the Sheep Genome Consortium International, obtained through the Network of Animal Genomics Embrapa. We applied data mining techniques, especially attribute selection methods and algorithms for generating association rules. The first step was to make the selection of attributes, due to the high number of SNP markers, with almost 60,000 markers for each animal. Subsequently, we applied the Apriori algorithm in order to generate association rules with the purpose of obtaining SNPs whose allelic values could determine the breed that each animal belongs to. The results showed that, with minimal support of 15% and minimum confidence of 90%, some SNPs have values that appear only in a particular breed. The best rules appear at the top of the list due to high values of support and confidence achieved. It was observed that the top 35 associations rules are related to Creole, with support of 30% and confidence of 100% . The first rule indicates that one of the selected markers with a certain a homozigous allele characterizes the breed is Creole, appearing in 22 records (30% of the total, which has 72 records) and 100% confidence, i.e., in 22 times that the marker came up with this value, the breed was related to Creole. The results need to be better evaluated and validated by experts, but they seem to be of great importance for future work. The methodology proposed in this work could be used to support breeding programs for sheep in progeny tests. References MACQUEEN, J. B. (1967). Some Methods for classification and Analysis of Multivariate Observations.
650 $aDatabases
650 $aInformation retrieval
650 $aBase de Dados
653 $aMarcadores moleculares SNP
653 $aMineração de texto
653 $aRecuperação da informação
653 $aText mining
700 1 $aPAIVA, S. R.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aHIGA, R.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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