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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
21/02/2014 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
TERRA, J.A.; SHAW, J.; REEVES, D. W.; RAPER, R.L.; VAN SANTEN, E.; SCHWAB, E.B.; MASK, P.L. |
Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Soil management and landscape variability affects field-scale cotton productivity. |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
Soil Science Society of America Journal, 2006, v.70 (1), p. 98-107. |
ISSN : |
0361-5995 |
DOI : |
10.2136/sssaj2005.0179 |
Idioma : |
Inglés |
Notas : |
Artilce history: Received 8 June 2005 // Published Jan. 2006. |
Contenido : |
A better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation.
Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more
productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, SOC, and clay content were correlated with yield in all treatments. Soil and terrain attributes explained 16 to 64% of yield variation, however, their significance fluctuated between years and treatments. In dry years, factor analyses suggested variables related with soil quality and field-scale water dynamics had greater impacts on CT yields than NT yields. Our results indicate that management zones developed using relatively static soil-landscape data are relatively more suitable for conservation systems, and these zones are affected by soil management. In addition, the impact of NT on yields is most apparent on degraded soils in dry years. MenosA better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation.
Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more
productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, S... Presentar Todo |
Thesagro : |
ALGODON; SUELOS. |
Asunto categoría : |
P36 Erosión conservación y recuperación del suelo |
Marc : |
LEADER 02913naa a2200253 a 4500 001 1032797 005 2019-10-11 008 2006 bl uuuu u00u1 u #d 022 $a0361-5995 024 7 $a10.2136/sssaj2005.0179$2DOI 100 1 $aTERRA, J.A. 245 $aSoil management and landscape variability affects field-scale cotton productivity.$h[electronic resource] 260 $c2006 500 $aArtilce history: Received 8 June 2005 // Published Jan. 2006. 520 $aA better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation. Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, SOC, and clay content were correlated with yield in all treatments. Soil and terrain attributes explained 16 to 64% of yield variation, however, their significance fluctuated between years and treatments. In dry years, factor analyses suggested variables related with soil quality and field-scale water dynamics had greater impacts on CT yields than NT yields. Our results indicate that management zones developed using relatively static soil-landscape data are relatively more suitable for conservation systems, and these zones are affected by soil management. In addition, the impact of NT on yields is most apparent on degraded soils in dry years. 650 $aALGODON 650 $aSUELOS 700 1 $aSHAW, J. 700 1 $aREEVES, D. W. 700 1 $aRAPER, R.L. 700 1 $aVAN SANTEN, E. 700 1 $aSCHWAB, E.B. 700 1 $aMASK, P.L. 773 $tSoil Science Society of America Journal, 2006$gv.70 (1), p. 98-107.
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
27/11/2020 |
Actualizado : |
27/04/2021 |
Autor : |
GAO, L.; KOO, D.H.; JULIANA, P.; RIFE, T.; SINGH, D.; CRISTIANO LEMES DA SILVA; LUX, T.; DORN, K.M.; CLINESMITH, M.; SILVA, P.; WANG, X.; SPANNAGL, M.; MONAT, C.; FRIEBE, B.; STEUERNAGEL, B.; MUEHLBAUER, G.J.; WALKOWIAK, S.; POZNIAK, C.; SINGH, R.; STEIN, N.; MASCHER, M.; FRITZ, A.; POLAND, J. |
Afiliación : |
LIANGLIANG GAO, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; DAL-HOE KOO, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; PHILOMIN JULIANA, Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), El Batan, 56237, Texcoco, CP, Mexico.; TREVOR RIFE, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; DALJIT SINGH, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; CRISTIANO LEMES DA SILVA, Department of Agronomy, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; THOMAS LUX, Plant Genome and Systems Biology (PGSB), Helmholtz Center Munich, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.; KEVIN M DORN, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; MARSHALL CLINESMITH, Department of Agronomy, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; XU WANG, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; MANUEL SPANNAGL, Plant Genome and Systems Biology (PGSB), Helmholtz Center Munich, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.; CECILE MONAT, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466, Seeland, Germany.; BERND FRIEBE, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; BURKHARD STEUERNAGEL, John Innes Centre, Computational and Systems Biology, Norwich Research Park, Norwich, NR47UH, UK.; GARY J MUEHLBAUER, Department of Agronomy and Plant Genetics, University of Minnesota, 1991 Upper Buford Circle, 411 Borlaug Hall, Saint Paul, MN, 55108, USA.; SEAN WALKOWIAK, Crop Development Centre, University of Saskatchewan, Agriculture Building, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada.; CURTIS POZNIAK, Crop Development Centre, University of Saskatchewan, Agriculture Building, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada.; RAVI SINGH, Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), El Batan, 56237, Texcoco, CP, Mexico.; NILS STEIN, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466, Seeland, Germany.; MARTIN MASCHER, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466, Seeland, Germany.; ALLAN FRITZ, Department of Agronomy, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA.; JESSE POLAND, Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, 1712 Claflin Road, Manhattan, KS, 66506, USA. |
Título : |
The Aegilops ventricosa 2N v S segment in bread wheat: cytology, genomics and breeding. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Theoretical and Applied Genetics, volume 134, pag. 529?542, feb 2021. Open Access. Doi: https://doi.org/10.1007/s00122-020-03712-y |
DOI : |
10.1007/s00122-020-03712-y |
Idioma : |
Inglés |
Notas : |
Article history:Received: 22 June 2020 / Accepted: 17 October 2020/ Published:12 November 2020/ Issue Date:February 2021 |
Contenido : |
Abstract:
The first cytological characterization of the 2NvS segment in hexaploid wheat; complete de novo assembly and annotation of 2NvS segment; 2NvS frequency is increasing 2NvS and is associated with higher yield. The Aegilops ventricosa 2NvS translocation segment has been utilized in breeding disease-resistant wheat crops since the early 1990s. This segment is known to possess several important resistance genes against multiple wheat diseases including root knot nematode, stripe rust, leaf rust and stem rust. More recently, this segment has been associated with resistance to wheat blast, an emerging and devastating wheat disease in South America and Asia. To date, full characterization of the segment including its size, gene content and its association with grain yield is lacking. Here, we present a complete cytological and physical characterization of this agronomically important translocation in bread wheat. We de novo assembled the 2NvS segment in two wheat varieties, 'Jagger' and 'CDC Stanley,' and delineated the segment to be approximately 33 Mb. A total of 535 high-confidence genes were annotated within the 2NvS region, with > 10% belonging to the nucleotide-binding leucine-rich repeat (NLR) gene families. Identification of groups of NLR genes that are potentially N genome-specific and expressed in specific tissues can fast-track testing of candidate genes playing roles in various disease resistances. We also show the increasing frequency of 2NvS among spring and winter wheat breeding programs over two and a half decades, and the positive impact of 2NvS on wheat grain yield based on historical datasets. The significance of the 2NvS segment in wheat breeding due to resistance to multiple diseases and a positive impact on yield highlights the importance of understanding and characterizing the wheat pan-genome for better insights into molecular breeding for wheat improvement. MenosAbstract:
The first cytological characterization of the 2NvS segment in hexaploid wheat; complete de novo assembly and annotation of 2NvS segment; 2NvS frequency is increasing 2NvS and is associated with higher yield. The Aegilops ventricosa 2NvS translocation segment has been utilized in breeding disease-resistant wheat crops since the early 1990s. This segment is known to possess several important resistance genes against multiple wheat diseases including root knot nematode, stripe rust, leaf rust and stem rust. More recently, this segment has been associated with resistance to wheat blast, an emerging and devastating wheat disease in South America and Asia. To date, full characterization of the segment including its size, gene content and its association with grain yield is lacking. Here, we present a complete cytological and physical characterization of this agronomically important translocation in bread wheat. We de novo assembled the 2NvS segment in two wheat varieties, 'Jagger' and 'CDC Stanley,' and delineated the segment to be approximately 33 Mb. A total of 535 high-confidence genes were annotated within the 2NvS region, with > 10% belonging to the nucleotide-binding leucine-rich repeat (NLR) gene families. Identification of groups of NLR genes that are potentially N genome-specific and expressed in specific tissues can fast-track testing of candidate genes playing roles in various disease resistances. We also show the increasing frequency of 2NvS among spring and ... Presentar Todo |
Palabras claves : |
BREAD WHEAT; BREEDING WHEAT IMRPVEMENT. |
Thesagro : |
MEJORAMIENTO GENETICO DE PLANTAS; TRIGO; TRITICUM AESTIVUM. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://link.springer.com/content/pdf/10.1007/s00122-020-03712-y.pdf
|
Marc : |
LEADER 03352naa a2200469 a 4500 001 1061527 005 2021-04-27 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1007/s00122-020-03712-y$2DOI 100 1 $aGAO, L. 245 $aThe Aegilops ventricosa 2N v S segment in bread wheat$bcytology, genomics and breeding.$h[electronic resource] 260 $c2021 500 $aArticle history:Received: 22 June 2020 / Accepted: 17 October 2020/ Published:12 November 2020/ Issue Date:February 2021 520 $aAbstract: The first cytological characterization of the 2NvS segment in hexaploid wheat; complete de novo assembly and annotation of 2NvS segment; 2NvS frequency is increasing 2NvS and is associated with higher yield. The Aegilops ventricosa 2NvS translocation segment has been utilized in breeding disease-resistant wheat crops since the early 1990s. This segment is known to possess several important resistance genes against multiple wheat diseases including root knot nematode, stripe rust, leaf rust and stem rust. More recently, this segment has been associated with resistance to wheat blast, an emerging and devastating wheat disease in South America and Asia. To date, full characterization of the segment including its size, gene content and its association with grain yield is lacking. Here, we present a complete cytological and physical characterization of this agronomically important translocation in bread wheat. We de novo assembled the 2NvS segment in two wheat varieties, 'Jagger' and 'CDC Stanley,' and delineated the segment to be approximately 33 Mb. A total of 535 high-confidence genes were annotated within the 2NvS region, with > 10% belonging to the nucleotide-binding leucine-rich repeat (NLR) gene families. Identification of groups of NLR genes that are potentially N genome-specific and expressed in specific tissues can fast-track testing of candidate genes playing roles in various disease resistances. We also show the increasing frequency of 2NvS among spring and winter wheat breeding programs over two and a half decades, and the positive impact of 2NvS on wheat grain yield based on historical datasets. The significance of the 2NvS segment in wheat breeding due to resistance to multiple diseases and a positive impact on yield highlights the importance of understanding and characterizing the wheat pan-genome for better insights into molecular breeding for wheat improvement. 650 $aMEJORAMIENTO GENETICO DE PLANTAS 650 $aTRIGO 650 $aTRITICUM AESTIVUM 653 $aBREAD WHEAT 653 $aBREEDING WHEAT IMRPVEMENT 700 1 $aKOO, D.H. 700 1 $aJULIANA, P. 700 1 $aRIFE, T. 700 1 $aSINGH, D. 700 1 $aCRISTIANO LEMES DA SILVA 700 1 $aLUX, T. 700 1 $aDORN, K.M. 700 1 $aCLINESMITH, M. 700 1 $aSILVA, P. 700 1 $aWANG, X. 700 1 $aSPANNAGL, M. 700 1 $aMONAT, C. 700 1 $aFRIEBE, B. 700 1 $aSTEUERNAGEL, B. 700 1 $aMUEHLBAUER, G.J. 700 1 $aWALKOWIAK, S. 700 1 $aPOZNIAK, C. 700 1 $aSINGH, R. 700 1 $aSTEIN, N. 700 1 $aMASCHER, M. 700 1 $aFRITZ, A. 700 1 $aPOLAND, J. 773 $tTheoretical and Applied Genetics, volume 134, pag. 529?542, feb 2021. Open Access. Doi: https://doi.org/10.1007/s00122-020-03712-y
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