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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
21/02/2014 |
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Actualizado : |
28/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
TERRA, J.A.; SHAW, N.J.; REEVES, D.W.; RAPER, R.L.; VAN SANTEN, E.; MASK, P.L. |
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Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Soil Carbon relationships with terrain attributes, electrical conductivity, and a soil survey in a coastal plain landscape. |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
Soil Science, 2004, V. 169, No. 12, p. 819-831. |
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DOI : |
10.1097/00010694-200412000-00001 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received May 3, 2004 // Accepted Sept. 30, 2004, Publishing Dec. 2004. |
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Contenido : |
Soil organic carbon (SOC) estimation at the landscape level is critical for assessing impacts of management practices on C sequestration and soil quality. We determined relationships between SOC, terrain attributes, field scale soil electrical conductivity (EC), soil texture and soil survey map units in a 9 ha coastal plain field (Aquic and Typic Paleudults) historically managed by conventional means. The site was composite sampled for SOC (0-30 cm) within 18.3 × 8.5-m grids (n = 496), and two data sets were created from the original data. Ordinary kriging, co-kriging, regression kriging and multiple regression were used to develop SOC surfaces that were validated with an independent data set (n = 24) using the mean square error (MSE). The SOC was relatively low (26.13 Mg ha?1) and only moderately variable (CV = 21%), and showed high spatial dependence. Interpolation techniques produced similar SOC maps but the best predictor was ordinary kriging (MSE = 9.11 Mg2 ha?2) while regression was the worst (MSE = 20.65 Mg2 ha?2). Factor analysis indicated that the first three factors explained 57% of field variability; compound topographic index (CTI), slope, EC and soil textural fractions dominated these components. Elevation, slope, CTI, silt content and EC explained up to 50% of the SOC variability (P ? 0.01) suggesting that topography and historical erosion played a significant role in SOC distribution. Field subdivision into soil map units or k-mean clusters similarly decreased SOC variance (about 30%). The study suggests that terrain attributes and EC surveys can be used to differentiate zones of variable SOC content, which may be used as bench marks to evaluate field-level impact of management practices on C sequestration. MenosSoil organic carbon (SOC) estimation at the landscape level is critical for assessing impacts of management practices on C sequestration and soil quality. We determined relationships between SOC, terrain attributes, field scale soil electrical conductivity (EC), soil texture and soil survey map units in a 9 ha coastal plain field (Aquic and Typic Paleudults) historically managed by conventional means. The site was composite sampled for SOC (0-30 cm) within 18.3 × 8.5-m grids (n = 496), and two data sets were created from the original data. Ordinary kriging, co-kriging, regression kriging and multiple regression were used to develop SOC surfaces that were validated with an independent data set (n = 24) using the mean square error (MSE). The SOC was relatively low (26.13 Mg ha?1) and only moderately variable (CV = 21%), and showed high spatial dependence. Interpolation techniques produced similar SOC maps but the best predictor was ordinary kriging (MSE = 9.11 Mg2 ha?2) while regression was the worst (MSE = 20.65 Mg2 ha?2). Factor analysis indicated that the first three factors explained 57% of field variability; compound topographic index (CTI), slope, EC and soil textural fractions dominated these components. Elevation, slope, CTI, silt content and EC explained up to 50% of the SOC variability (P ? 0.01) suggesting that topography and historical erosion played a significant role in SOC distribution. Field subdivision into soil map units or k-mean clusters similarly decreased... Presentar Todo |
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Thesagro : |
MANEJO DEL SUELO; SUELO. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02522naa a2200229 a 4500
001 1032966
005 2021-06-28
008 2004 bl uuuu u00u1 u #d
024 7 $a10.1097/00010694-200412000-00001$2DOI
100 1 $aTERRA, J.A.
245 $aSoil Carbon relationships with terrain attributes, electrical conductivity, and a soil survey in a coastal plain landscape.$h[electronic resource]
260 $c2004
500 $aArticle history: Received May 3, 2004 // Accepted Sept. 30, 2004, Publishing Dec. 2004.
520 $aSoil organic carbon (SOC) estimation at the landscape level is critical for assessing impacts of management practices on C sequestration and soil quality. We determined relationships between SOC, terrain attributes, field scale soil electrical conductivity (EC), soil texture and soil survey map units in a 9 ha coastal plain field (Aquic and Typic Paleudults) historically managed by conventional means. The site was composite sampled for SOC (0-30 cm) within 18.3 × 8.5-m grids (n = 496), and two data sets were created from the original data. Ordinary kriging, co-kriging, regression kriging and multiple regression were used to develop SOC surfaces that were validated with an independent data set (n = 24) using the mean square error (MSE). The SOC was relatively low (26.13 Mg ha?1) and only moderately variable (CV = 21%), and showed high spatial dependence. Interpolation techniques produced similar SOC maps but the best predictor was ordinary kriging (MSE = 9.11 Mg2 ha?2) while regression was the worst (MSE = 20.65 Mg2 ha?2). Factor analysis indicated that the first three factors explained 57% of field variability; compound topographic index (CTI), slope, EC and soil textural fractions dominated these components. Elevation, slope, CTI, silt content and EC explained up to 50% of the SOC variability (P ? 0.01) suggesting that topography and historical erosion played a significant role in SOC distribution. Field subdivision into soil map units or k-mean clusters similarly decreased SOC variance (about 30%). The study suggests that terrain attributes and EC surveys can be used to differentiate zones of variable SOC content, which may be used as bench marks to evaluate field-level impact of management practices on C sequestration.
650 $aMANEJO DEL SUELO
650 $aSUELO
700 1 $aSHAW, N.J.
700 1 $aREEVES, D.W.
700 1 $aRAPER, R.L.
700 1 $aVAN SANTEN, E.
700 1 $aMASK, P.L.
773 $tSoil Science, 2004, V. 169, No. 12, p. 819-831.
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
12/10/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - 1 |
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Autor : |
DO CANTO, J.; STUDER, B.; LUBBERSTEDT, T. |
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Afiliación : |
JAVIER DO CANTO FAGUNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO STUDER, Forage Crop Genetics, Institute of Agricultural Sciences, ETH Zurich.; THOMAS LUBBERSTEDT, Department of Agronomy, Iowa State University. |
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Título : |
Overcoming self-incompatibility in grasses: a pathway to hybrid breeding. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Theor. Appl. Genet., 2016, no. 129, p. 1815-1829. |
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DOI : |
10.1007/s00122-016-2775-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 29 April 2016; Accepted: 24 August 2016; Published online: 30 August 2016. |
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Contenido : |
Allogamous grasses exhibit an effective twolocus gametophytic self-incompatibility (SI) system, limiting the range of breeding techniques applicable for cultivar
development. Current breeding methods based on populations are characterized by comparably low genetic gains for important traits such as biomass yield. To implement more efficient breeding schemes, the overall understanding of the SI system is crucial as are the mechanisms involved in the breakdown of SI. Self-fertile variants in outcrossing grasses have been studied, and the current level of knowledge includes approximate gene locations, linked molecular markers and first hypotheses on their mode of action. Environmental conditions increasing seed set upon selfpollination have also been described. Even though some strategies were proposed to take advantage of self-fertility, there have, so far, not been changes in the methods applied in cultivar development for allogamous grasses. In this review, we describe the current knowledge about self-fertility in allogamous grasses and outline strategies to incorporate this trait for implementation in synthetic and hybrid breeding schemes. |
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Palabras claves : |
GRASSES. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 01776naa a2200193 a 4500
001 1028594
005 2018-10-12
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1007/s00122-016-2775-2$2DOI
100 1 $aDO CANTO, J.
245 $aOvercoming self-incompatibility in grasses$ba pathway to hybrid breeding.
260 $c2016
500 $aArticle history: Received: 29 April 2016; Accepted: 24 August 2016; Published online: 30 August 2016.
520 $aAllogamous grasses exhibit an effective twolocus gametophytic self-incompatibility (SI) system, limiting the range of breeding techniques applicable for cultivar development. Current breeding methods based on populations are characterized by comparably low genetic gains for important traits such as biomass yield. To implement more efficient breeding schemes, the overall understanding of the SI system is crucial as are the mechanisms involved in the breakdown of SI. Self-fertile variants in outcrossing grasses have been studied, and the current level of knowledge includes approximate gene locations, linked molecular markers and first hypotheses on their mode of action. Environmental conditions increasing seed set upon selfpollination have also been described. Even though some strategies were proposed to take advantage of self-fertility, there have, so far, not been changes in the methods applied in cultivar development for allogamous grasses. In this review, we describe the current knowledge about self-fertility in allogamous grasses and outline strategies to incorporate this trait for implementation in synthetic and hybrid breeding schemes.
650 $aPASTURAS
653 $aGRASSES
700 1 $aSTUDER, B.
700 1 $aLUBBERSTEDT, T.
773 $tTheor. Appl. Genet., 2016, no. 129, p. 1815-1829.
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