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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
18/03/2022 |
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Actualizado : |
02/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
SILVA, P.; EVERS, B.; KIEFFABER, A.; WANG, X.; BROWN, R.; GAO, L.; FRITZ, A.; CRAIN, J.; POLAND, J. |
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Afiliación : |
MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; BYRON EVERS, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.; ALEXANDRIA KIEFFABER, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.; XU WANG, Department of Agricultural and Biological Engineering, University of Florida, IFAS Gulf Coast , Research and Education Center, Wimauma, Florida,USA.; RICHARD BROWN, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; LIANGLIANG GAO, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; ALLAN FRITZ, Department of Agronomy, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA.; JARED CRAIN, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA.; JESSE POLAND, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA. |
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Título : |
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
G3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064 |
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DOI : |
10.1093/g3journal/jkac064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 22 December 2021/Accepted: 12 March 2022/Published: 30 March 2022.
The Author(s) (2022) . Published by Oxford University Press on behalf of the Genetics Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
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Contenido : |
Abstract:
Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive model had a large effect for predicting BYD but almost no effect for PTHTM and GY. This study was the first attempt to characterize BYD using field-HTP and apply GS to predict the disease severity. These methods have the potential to improve BYD characterization and identifying new sources of resistance will be crucial for delivering BYD resistant germplasm. MenosAbstract:
Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive mo... Presentar Todo |
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Palabras claves : |
Barley yellow dwarf (BYD); Genomic Selection (GS); High-throughput Phenotyping (HTP); Resistance; Tolerance; Triticum aestivum; Virus. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16662/1/Applied-phenomics-and-genomics-for-improving-barley-yellow-dwarf-resistance-in-winter.-2022.Silva.pdf
https://academic.oup.com/g3journal/article-pdf/12/7/jkac064/44473353/jkac064.pdf
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Marc : |
LEADER 03303naa a2200325 a 4500
001 1062870
005 2022-09-02
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1093/g3journal/jkac064$2DOI
100 1 $aSILVA, P.
245 $aApplied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 22 December 2021/Accepted: 12 March 2022/Published: 30 March 2022. The Author(s) (2022) . Published by Oxford University Press on behalf of the Genetics Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
520 $aAbstract: Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive model had a large effect for predicting BYD but almost no effect for PTHTM and GY. This study was the first attempt to characterize BYD using field-HTP and apply GS to predict the disease severity. These methods have the potential to improve BYD characterization and identifying new sources of resistance will be crucial for delivering BYD resistant germplasm.
653 $aBarley yellow dwarf (BYD)
653 $aGenomic Selection (GS)
653 $aHigh-throughput Phenotyping (HTP)
653 $aResistance
653 $aTolerance
653 $aTriticum aestivum
653 $aVirus
700 1 $aEVERS, B.
700 1 $aKIEFFABER, A.
700 1 $aWANG, X.
700 1 $aBROWN, R.
700 1 $aGAO, L.
700 1 $aFRITZ, A.
700 1 $aCRAIN, J.
700 1 $aPOLAND, J.
773 $tG3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064
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INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
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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Circulación / Nivel : |
B - 1 |
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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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