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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/08/2005 |
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Data da última atualização: |
14/03/2018 |
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Autoria: |
VENDRUSCULO, L. G.; MAGALHÃES, P. S. G.; VIEIRA, S. R.; CARVALHO, J. R. P. de. |
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Afiliação: |
LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; PAULO SÉRGIO GRAZIANO MAGALHÃES, Feagri/Unicamp; SIDNEY ROSA VIEIRA, IAC; JOSE RUY PORTO DE CARVALHO, CNPTIA. |
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Título: |
Computational system for geostatistical analysis. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 61, n. 1, p. 100-107, jan./fev. 2004. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Geostatistics identifies the spatial structure of variables representing several phenomena and its use is becoming more intense in agricultural activities. This paper describes a computer program, based on Windows Interfaces (Borland Delphi), which performs spatial analyses of datasets through geostatistic tools: Classical statistical calculations, average, cross- and directional semivariograms, simple kriging estimates and jackknifing calculations. A published dataset of soil Carbon and Nitrogen was used to validate the system. The system was useful for the geostatistical analysis process, for the manipulation of the computational routines in a MS-DOS environment. The Windows development approach allowed the user to model the semivariogram graphically with a major degree of interaction, functionality rarely available in similar programs. Given its characteristic of quick prototypation and simplicity when incorporating correlated routines, the Delphi environment presents the main advantage of permitting the evolution of this system. |
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Palavras-Chave: |
Geoestatística; Semivariogram; Semivariograma; Spatial variability; Variabilidade espacial. |
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Thesagro: |
Tecnologia da informação. |
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Thesaurus Nal: |
Computer software; Geostatistics; Information technology. |
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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/173904/1/Computational-system-2004.pdf
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Marc: |
LEADER 01849naa a2200265 a 4500
001 1009084
005 2018-03-14
008 2004 bl uuuu u00u1 u #d
100 1 $aVENDRUSCULO, L. G.
245 $aComputational system for geostatistical analysis.$h[electronic resource]
260 $c2004
520 $aABSTRACT: Geostatistics identifies the spatial structure of variables representing several phenomena and its use is becoming more intense in agricultural activities. This paper describes a computer program, based on Windows Interfaces (Borland Delphi), which performs spatial analyses of datasets through geostatistic tools: Classical statistical calculations, average, cross- and directional semivariograms, simple kriging estimates and jackknifing calculations. A published dataset of soil Carbon and Nitrogen was used to validate the system. The system was useful for the geostatistical analysis process, for the manipulation of the computational routines in a MS-DOS environment. The Windows development approach allowed the user to model the semivariogram graphically with a major degree of interaction, functionality rarely available in similar programs. Given its characteristic of quick prototypation and simplicity when incorporating correlated routines, the Delphi environment presents the main advantage of permitting the evolution of this system.
650 $aComputer software
650 $aGeostatistics
650 $aInformation technology
650 $aTecnologia da informação
653 $aGeoestatística
653 $aSemivariogram
653 $aSemivariograma
653 $aSpatial variability
653 $aVariabilidade espacial
700 1 $aMAGALHÃES, P. S. G.
700 1 $aVIEIRA, S. R.
700 1 $aCARVALHO, J. R. P. de
773 $tScientia Agricola, Piracicaba$gv. 61, n. 1, p. 100-107, jan./fev. 2004.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
24/12/1996 |
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Data da última atualização: |
03/02/2014 |
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Autoria: |
GAMA, E. E. G. e. |
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Afiliação: |
EMBRAPA/CNPMS. |
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Título: |
Relationship between inbred and hybrid performance in maize. |
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Ano de publicação: |
1976 |
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Fonte/Imprenta: |
Ames: Iowa State University, 1976. |
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Páginas: |
81 p. |
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Idioma: |
Inglês |
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Notas: |
Tese Mestrado. |
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Conteúdo: |
An unselected group of 247 inbred lines was developed from Iowa Stiff Stalk Synthetic (BSSS). This was accomphished by selfing 250 unselected S0 plants and carried on until the S7 generation when the plants were approximately homozygous. During the inbreeding development three lines were lost. The resulting 247 S7 lines represent on of the two genetic materials that I used in my correlation studies. The second genetic materials was the resultant F1's single-cross when using 160 of the 247 inbred lines in a cross (Design II) classification mating design. Hence, those two genetic materials were composed of two groups os plants, 160 inbred lines and 329 F1's single-cross. I used in my correlation studies, therefore, only 160 inbreds instead of 247 unselectedinbred lines. The main objectives of my study were the following; (1) to estimate the simple correlations between the traits of the inbred lines per se and the mean value of the same traits of F1 crosses, and (2) to estimate the simple correlation between the traits of F1 crosses and the mean of the same traits in the two parental inbred lines. Those simple correlation estimates 1 and 2 were compared in two different ways: (a) between traits of the inbred lines and the means of the same traits in their hybrids, and (2) between traits of the inbred lines and the mean in their hybrids; (3) to estimate the coefficient of multiple correlation between the traits of the inbred lines per se and the mean value of the same traits in their hybrids; (...) MenosAn unselected group of 247 inbred lines was developed from Iowa Stiff Stalk Synthetic (BSSS). This was accomphished by selfing 250 unselected S0 plants and carried on until the S7 generation when the plants were approximately homozygous. During the inbreeding development three lines were lost. The resulting 247 S7 lines represent on of the two genetic materials that I used in my correlation studies. The second genetic materials was the resultant F1's single-cross when using 160 of the 247 inbred lines in a cross (Design II) classification mating design. Hence, those two genetic materials were composed of two groups os plants, 160 inbred lines and 329 F1's single-cross. I used in my correlation studies, therefore, only 160 inbreds instead of 247 unselectedinbred lines. The main objectives of my study were the following; (1) to estimate the simple correlations between the traits of the inbred lines per se and the mean value of the same traits of F1 crosses, and (2) to estimate the simple correlation between the traits of F1 crosses and the mean of the same traits in the two parental inbred lines. Those simple correlation estimates 1 and 2 were compared in two different ways: (a) between traits of the inbred lines and the means of the same traits in their hybrids, and (2) between traits of the inbred lines and the mean in their hybrids; (3) to estimate the coefficient of multiple correlation between the traits of the inbred lines per se and the mean value of the same traits i... Mostrar Tudo |
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Palavras-Chave: |
Maize; Milho hybrido. |
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Thesagro: |
Genética; Melhoramento; Milho; Performance; Zea Mays. |
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Thesaurus NAL: |
breeding; genetics. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02105nam a2200241 a 4500
001 1473294
005 2014-02-03
008 1976 bl uuuu m 00u1 u #d
100 1 $aGAMA, E. E. G. e
245 $aRelationship between inbred and hybrid performance in maize.
260 $aAmes: Iowa State University$c1976
300 $a81 p.
500 $aTese Mestrado.
520 $aAn unselected group of 247 inbred lines was developed from Iowa Stiff Stalk Synthetic (BSSS). This was accomphished by selfing 250 unselected S0 plants and carried on until the S7 generation when the plants were approximately homozygous. During the inbreeding development three lines were lost. The resulting 247 S7 lines represent on of the two genetic materials that I used in my correlation studies. The second genetic materials was the resultant F1's single-cross when using 160 of the 247 inbred lines in a cross (Design II) classification mating design. Hence, those two genetic materials were composed of two groups os plants, 160 inbred lines and 329 F1's single-cross. I used in my correlation studies, therefore, only 160 inbreds instead of 247 unselectedinbred lines. The main objectives of my study were the following; (1) to estimate the simple correlations between the traits of the inbred lines per se and the mean value of the same traits of F1 crosses, and (2) to estimate the simple correlation between the traits of F1 crosses and the mean of the same traits in the two parental inbred lines. Those simple correlation estimates 1 and 2 were compared in two different ways: (a) between traits of the inbred lines and the means of the same traits in their hybrids, and (2) between traits of the inbred lines and the mean in their hybrids; (3) to estimate the coefficient of multiple correlation between the traits of the inbred lines per se and the mean value of the same traits in their hybrids; (...)
650 $abreeding
650 $agenetics
650 $aGenética
650 $aMelhoramento
650 $aMilho
650 $aPerformance
650 $aZea Mays
653 $aMaize
653 $aMilho hybrido
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Embrapa Milho e Sorgo (CNPMS) |
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