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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
10/01/2010 |
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Data da última atualização: |
17/10/2013 |
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Autoria: |
HERNÁNDEZ SIERRA, A. |
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Título: |
Avance en el mejoramiento genético del trigo en México. |
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Ano de publicação: |
1988 |
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Fonte/Imprenta: |
Agronomie, Paris, v. 8, n. 7, p. 633-638, 1988. |
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Idioma: |
Espanhol |
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Conteúdo: |
Durante el periodo invierno-primavera de 1982-83 y de 1983-84, se evaluaron 81 variedades de trigo (Triticum aestivum L.) en Roque, Guanajuato y durante 1983-84 y 1984-85 en Chapingo, México. El diseno experimental usado en cada caso fue un látíce simple con 2 repeticiones. El propósito de esta evaluacion fue determinar, bajo condiciones controladas de encamado, plagas y royas, el avance genético logrado en el rendimiento de grano y la !elacíó! de este con otros caracteres de planta de las variedades mexicanas de trigo. El avance se midio comparando el rendimiento promedio de las variedades más representativas de cada época, con la variedad introducida y usada en siembras comerciales durante el periodo 1948-1951, "Supremo 211". Los resultados indican que aunque el rendimiento se estabilizó durante los periodos de 1966-70 y 1976-80, el potencial de rendimiento de las variedades liberadas sucesivamente desde 1950 hasta 1982, ha sido incrementado en 74 %. Esto representa una tasa promedio de ganancia de grano de 60 kg ha/ año. Dado que la investigacion sobre trigo en México se inició formalmente en 1945, esto significa que en los 37 años de investigación en este cultivo el rendimiento se ha incrementado en 2 % por año. Este aumento en el rendimiento de las variedades nuevas, se atribuye a una mayor resistencia al encamado y a las enfermedades, y a una capacidad mayor para producir grano por unidad de tiempo y de superficie. |
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Thesagro: |
Melhoramento. |
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Categoria do assunto: |
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Marc: |
LEADER 01825naa a2200133 a 4500
001 1831837
005 2013-10-17
008 1988 bl --- 0-- u #d
100 1 $aHERNÁNDEZ SIERRA, A.
245 $aAvance en el mejoramiento genético del trigo en México.
260 $c1988
520 $aDurante el periodo invierno-primavera de 1982-83 y de 1983-84, se evaluaron 81 variedades de trigo (Triticum aestivum L.) en Roque, Guanajuato y durante 1983-84 y 1984-85 en Chapingo, México. El diseno experimental usado en cada caso fue un látíce simple con 2 repeticiones. El propósito de esta evaluacion fue determinar, bajo condiciones controladas de encamado, plagas y royas, el avance genético logrado en el rendimiento de grano y la !elacíó! de este con otros caracteres de planta de las variedades mexicanas de trigo. El avance se midio comparando el rendimiento promedio de las variedades más representativas de cada época, con la variedad introducida y usada en siembras comerciales durante el periodo 1948-1951, "Supremo 211". Los resultados indican que aunque el rendimiento se estabilizó durante los periodos de 1966-70 y 1976-80, el potencial de rendimiento de las variedades liberadas sucesivamente desde 1950 hasta 1982, ha sido incrementado en 74 %. Esto representa una tasa promedio de ganancia de grano de 60 kg ha/ año. Dado que la investigacion sobre trigo en México se inició formalmente en 1945, esto significa que en los 37 años de investigación en este cultivo el rendimiento se ha incrementado en 2 % por año. Este aumento en el rendimiento de las variedades nuevas, se atribuye a una mayor resistencia al encamado y a las enfermedades, y a una capacidad mayor para producir grano por unidad de tiempo y de superficie.
650 $aMelhoramento
773 $tAgronomie, Paris$gv. 8, n. 7, p. 633-638, 1988.
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Embrapa Trigo (CNPT) |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
06/03/2018 |
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Data da última atualização: |
10/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PINHEIRO, E. F. M.; CEDDIA, M. B.; CLINGENSMITH, C. M.; GRUNWALD, S.; VASQUES, G. de M. |
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Afiliação: |
ÉRIKA F. M. PINHEIRO, UFRRJ; MARCOS BACIS CEDDIA, UFRRJ; CHRISTOPHER M. CLINGENSMITH, UNIVERSITY OF FLORIDA; SABINE GRUNWALD, UNIVERSITY OF FLORIDA; GUSTAVO DE MATTOS VASQUES, CNPS. |
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Título: |
Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the Central Amazon. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Remote Sensing, v. 9, n. 4, Apr. 2017. |
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DOI: |
https://doi.org/10.3390/rs9040293 |
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Idioma: |
Inglês |
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Conteúdo: |
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predicted well, SOC is one of the critical soil indicators in the global carbon cycle. Besides the soil property of interest, the landscape position, soil order and depth influenced in the model performance. For silt content, pH and S/C, the model performed better in well-drained soils, whereas for SOC best predictions were obtained in poorly drained soils. The association of VIS-NIR spectral data to landforms, vegetation classes, and soil types demonstrate potential for soil characterization. MenosVisible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predic... Mostrar Tudo |
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Palavras-Chave: |
Carbono orgânico do solo; Pré-processamento espectral; Quimiometria; Solos tropicais. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173558/1/2018-003.pdf
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Marc: |
LEADER 02749naa a2200229 a 4500
001 2088619
005 2021-11-10
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs9040293$2DOI
100 1 $aPINHEIRO, E. F. M.
245 $aPrediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the Central Amazon.$h[electronic resource]
260 $c2017
520 $aVisible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predicted well, SOC is one of the critical soil indicators in the global carbon cycle. Besides the soil property of interest, the landscape position, soil order and depth influenced in the model performance. For silt content, pH and S/C, the model performed better in well-drained soils, whereas for SOC best predictions were obtained in poorly drained soils. The association of VIS-NIR spectral data to landforms, vegetation classes, and soil types demonstrate potential for soil characterization.
653 $aCarbono orgânico do solo
653 $aPré-processamento espectral
653 $aQuimiometria
653 $aSolos tropicais
700 1 $aCEDDIA, M. B.
700 1 $aCLINGENSMITH, C. M.
700 1 $aGRUNWALD, S.
700 1 $aVASQUES, G. de M.
773 $tRemote Sensing$gv. 9, n. 4, Apr. 2017.
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