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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
03/03/2017 |
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Data da última atualização: |
03/03/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CASTRO, A. A.; HOFFMANN, L. V.; LIMA, T. H.; OLIVEIRA, A. I. D.; BRITO, R. R.; MENDES, L. de M. O.; PEREIRA, C. C. O.; MALAFAIA, G.; MENEZES, I. P. P. de. |
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Afiliação: |
ANDREZZA ARANTES CASTRO, IFG; LUCIA VIEIRA HOFFMANN, CNPA; THIAGO HENRIQUE LIMA, IFG; ARYANNY IRENE DOMINGOS OLIVEIRA, IFG; RAFAELA RIBEIRO BRITO, IFG; LETÍCIA de MARIA OLIVEIRA MENDES, IFG; CAIO CÉSAR OLIVEIRA PEREIRA, IFG; GUILHERME MALAFAIA, IFG; IVANDILSON PESSOA PINTO de MENEZES, IFG. |
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Título: |
Gossypium barbadense: an Approach for in Situ Conservation in Cerrado, Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 8, n.8, P. 59-67, 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
Abandonment of planting of Gossypium barbadense has endangered its existence. The objective was to determine the characteristicof the maintenance of Gossypium barbadense in the Central-West Region of Brazil, with the aim to foster the conservation of the species. Expeditions were conducted in 2014-2015 in Southeast Goiás, where cotton collection has not been reported before. Data from previous collections in Goiás, Mato Grosso, Mato Grosso do Sul and Distrito Federal available in Albrana database were considered this study. In the Central-West Region of Brazil, 466 accesses of G. barbadense were recorded, found most frequently in backyards (91.4%), but also spontaneous plants (7.5%), farm boundary (0.8%) and commercial farming (0.2%) have also been found. The main use indicated by VDU was as medicinal plant (0.66), therefore this is the main reason for in situ preservation. However, this cultural habit has been abandoned, causing uncertainty about the continuity of preservation. There was presence of lint almost only in seeds of plants of the variety brasiliense. The most common fiber color was white, not cream color, suggesting that plants are derived from commercial cultivars used in the past. Hence, until 2015, the conservation relies on single plants almost exclusively in backyards for medicinal use, and there are no crops of this type of cotton for commercial purpose. The exploitation of the possible use both of the fiber as a medicinal plant would foster ex situ and in situ preservation of this important genetic resource. MenosAbandonment of planting of Gossypium barbadense has endangered its existence. The objective was to determine the characteristicof the maintenance of Gossypium barbadense in the Central-West Region of Brazil, with the aim to foster the conservation of the species. Expeditions were conducted in 2014-2015 in Southeast Goiás, where cotton collection has not been reported before. Data from previous collections in Goiás, Mato Grosso, Mato Grosso do Sul and Distrito Federal available in Albrana database were considered this study. In the Central-West Region of Brazil, 466 accesses of G. barbadense were recorded, found most frequently in backyards (91.4%), but also spontaneous plants (7.5%), farm boundary (0.8%) and commercial farming (0.2%) have also been found. The main use indicated by VDU was as medicinal plant (0.66), therefore this is the main reason for in situ preservation. However, this cultural habit has been abandoned, causing uncertainty about the continuity of preservation. There was presence of lint almost only in seeds of plants of the variety brasiliense. The most common fiber color was white, not cream color, suggesting that plants are derived from commercial cultivars used in the past. Hence, until 2015, the conservation relies on single plants almost exclusively in backyards for medicinal use, and there are no crops of this type of cotton for commercial purpose. The exploitation of the possible use both of the fiber as a medicinal plant would foster ex situ and in... Mostrar Tudo |
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Thesagro: |
Algodão; Cerrado; Gossypium hirsutum. |
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Thesaurus Nal: |
Cotton; Gossypium barbadense. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157029/1/Gossypium-barbadense-An-Approach.pdf
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Marc: |
LEADER 02343naa a2200277 a 4500
001 2066078
005 2017-03-03
008 2016 bl uuuu u00u1 u #d
100 1 $aCASTRO, A. A.
245 $aGossypium barbadense$ban Approach for in Situ Conservation in Cerrado, Brazil.$h[electronic resource]
260 $c2016
520 $aAbandonment of planting of Gossypium barbadense has endangered its existence. The objective was to determine the characteristicof the maintenance of Gossypium barbadense in the Central-West Region of Brazil, with the aim to foster the conservation of the species. Expeditions were conducted in 2014-2015 in Southeast Goiás, where cotton collection has not been reported before. Data from previous collections in Goiás, Mato Grosso, Mato Grosso do Sul and Distrito Federal available in Albrana database were considered this study. In the Central-West Region of Brazil, 466 accesses of G. barbadense were recorded, found most frequently in backyards (91.4%), but also spontaneous plants (7.5%), farm boundary (0.8%) and commercial farming (0.2%) have also been found. The main use indicated by VDU was as medicinal plant (0.66), therefore this is the main reason for in situ preservation. However, this cultural habit has been abandoned, causing uncertainty about the continuity of preservation. There was presence of lint almost only in seeds of plants of the variety brasiliense. The most common fiber color was white, not cream color, suggesting that plants are derived from commercial cultivars used in the past. Hence, until 2015, the conservation relies on single plants almost exclusively in backyards for medicinal use, and there are no crops of this type of cotton for commercial purpose. The exploitation of the possible use both of the fiber as a medicinal plant would foster ex situ and in situ preservation of this important genetic resource.
650 $aCotton
650 $aGossypium barbadense
650 $aAlgodão
650 $aCerrado
650 $aGossypium hirsutum
700 1 $aHOFFMANN, L. V.
700 1 $aLIMA, T. H.
700 1 $aOLIVEIRA, A. I. D.
700 1 $aBRITO, R. R.
700 1 $aMENDES, L. de M. O.
700 1 $aPEREIRA, C. C. O.
700 1 $aMALAFAIA, G.
700 1 $aMENEZES, I. P. P. de
773 $tJournal of Agricultural Science$gv. 8, n.8, P. 59-67, 2016.
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Registro original: |
Embrapa Algodão (CNPA) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
26/12/2018 |
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Data da última atualização: |
24/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
RIBEIRO, I. M.; BORGES, C. C. H.; SILVA, B. Z.; ARBEX, W. A. |
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Afiliação: |
WAGNER ANTONIO ARBEX, CNPGL. |
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Título: |
A genetic programming model for association studies to detect epistasis in low heritability data. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Revista de Informática Teórica e Aplicada, v. 25, n. 2, p. 85-92, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract The genome-wide associations studies (GWAS) aims to identify the most influential markers in relation to the phenotype values. One of the substantial challenges is to find a non-linear mapping between genotype and phenotype, also known as epistasis, that usually becomes the process of searching and identifying functional SNPs more complex. Some diseases such as cervical cancer, leukemia and type 2 diabetes have low heritability. The heritability of the sample is directly related to the explanation defined by the genotype, so the lower the heritability the greater the influence of the environmental factors and the less the genotypic explanation. In this work, an algorithm capable of identifying epistatic associations at different levels of heritability is proposed. The developing model is a aplication of genetic programming with a specialized initialization for the initial population consisting of a random forest strategy. The initialization process aims to rank the most important SNPs increasing the probability of their insertion in the initial population of the genetic programming model. The expected behavior of the presented model for the obtainment of the causal markers intends to be robust in relation to the heritability level. The simulated experiments are case-control type with heritability level of 0.4, 0.3, 0.2 and 0.1 considering scenarios with 100 and 1000 markers. Our approach was compared with the GPAS software and a genetic programming algorithm without the initialization step. The results show that the use of an efficient population initialization method based on ranking strategy is very promising compared to other models. MenosAbstract The genome-wide associations studies (GWAS) aims to identify the most influential markers in relation to the phenotype values. One of the substantial challenges is to find a non-linear mapping between genotype and phenotype, also known as epistasis, that usually becomes the process of searching and identifying functional SNPs more complex. Some diseases such as cervical cancer, leukemia and type 2 diabetes have low heritability. The heritability of the sample is directly related to the explanation defined by the genotype, so the lower the heritability the greater the influence of the environmental factors and the less the genotypic explanation. In this work, an algorithm capable of identifying epistatic associations at different levels of heritability is proposed. The developing model is a aplication of genetic programming with a specialized initialization for the initial population consisting of a random forest strategy. The initialization process aims to rank the most important SNPs increasing the probability of their insertion in the initial population of the genetic programming model. The expected behavior of the presented model for the obtainment of the causal markers intends to be robust in relation to the heritability level. The simulated experiments are case-control type with heritability level of 0.4, 0.3, 0.2 and 0.1 considering scenarios with 100 and 1000 markers. Our approach was compared with the GPAS software and a genetic programming algorithm without... Mostrar Tudo |
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Palavras-Chave: |
Computational Modeling; Genetic Programming; GWAS; Mathematical Modeling; Random Forest; SNP. |
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Thesaurus NAL: |
Bioinformatics. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189322/1/Artigo-RevInfTeorApl.pdf
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Marc: |
LEADER 02397naa a2200241 a 4500
001 2102526
005 2023-01-24
008 2018 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, I. M.
245 $aA genetic programming model for association studies to detect epistasis in low heritability data.$h[electronic resource]
260 $c2018
520 $aAbstract The genome-wide associations studies (GWAS) aims to identify the most influential markers in relation to the phenotype values. One of the substantial challenges is to find a non-linear mapping between genotype and phenotype, also known as epistasis, that usually becomes the process of searching and identifying functional SNPs more complex. Some diseases such as cervical cancer, leukemia and type 2 diabetes have low heritability. The heritability of the sample is directly related to the explanation defined by the genotype, so the lower the heritability the greater the influence of the environmental factors and the less the genotypic explanation. In this work, an algorithm capable of identifying epistatic associations at different levels of heritability is proposed. The developing model is a aplication of genetic programming with a specialized initialization for the initial population consisting of a random forest strategy. The initialization process aims to rank the most important SNPs increasing the probability of their insertion in the initial population of the genetic programming model. The expected behavior of the presented model for the obtainment of the causal markers intends to be robust in relation to the heritability level. The simulated experiments are case-control type with heritability level of 0.4, 0.3, 0.2 and 0.1 considering scenarios with 100 and 1000 markers. Our approach was compared with the GPAS software and a genetic programming algorithm without the initialization step. The results show that the use of an efficient population initialization method based on ranking strategy is very promising compared to other models.
650 $aBioinformatics
653 $aComputational Modeling
653 $aGenetic Programming
653 $aGWAS
653 $aMathematical Modeling
653 $aRandom Forest
653 $aSNP
700 1 $aBORGES, C. C. H.
700 1 $aSILVA, B. Z.
700 1 $aARBEX, W. A.
773 $tRevista de Informática Teórica e Aplicada$gv. 25, n. 2, p. 85-92, 2018.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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