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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
15/03/2022 |
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Actualizado : |
15/03/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
JOHNSON, S.N; CIBILS-STEWART, X.; WATERMAN, J.M.; BIRU, F.N.; ROWE, R.C.; HARTLEY, S.E. |
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Afiliación : |
SCOTT N. JOHNSON, Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.; XIMENA CIBILS-STEWART, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.; JAMIE M. WATERMAN, Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.; FIKADU N. BIRU, Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.; RHIANNON C. ROWE, Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.; SUSAN E. HARTLEY, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK. |
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Título : |
Elevated atmospheric CO 2 changes defence allocation in wheat but herbivore resistance persists. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Proceedings of the Royal Society B: Biological Sciences, 2022, Volume 289, Issue 1969, Article number 20212536. doi: https://doi.org/10.6084/m9.figshare.c.5833004 |
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DOI : |
10.6084/m9.figshare.c.5833004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 23 November 2021/Accepted: 14 January 2022. Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5833004. |
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Contenido : |
Abstract:
Predicting how plants allocate to different anti-herbivore defences in response to elevated carbon dioxide (CO2) concentrations is important for understanding future patterns of crop susceptibility to herbivory. Theories of defence allocation, especially in the context of environmental change, largely overlook the role of silicon (Si), despite it being the major anti-herbivore defence in the Poaceae. We demonstrated that elevated levels of atmospheric CO2 (e[CO2]) promoted plant growth by 33% and caused wheat (Triticum aestivum) to switch from Si (?19%) to phenolic (+44%) defences. Despite the lower levels of Si under e[CO2], resistance to the global pest Helicoverpa armigera persisted; relative growth rates (RGRs) were reduced by at least 33% on Si-supplied plants, irrespective of CO2 levels. RGR was negatively correlated with leaf Si concentrations. Mandible wear was c. 30% higher when feeding on Si-supplemented plants compared to those feeding on plants with no Si supply. We conclude that higher carbon availability under e[CO2] reduces silicification and causes wheat to increase concentrations of phenolics. However, Si supply, at all levels, suppressed the growth of H. armigera under both CO2 regimes, suggesting that shifts in defence allocation under future climate change may not compromise herbivore resistance in wheat. |
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Palabras claves : |
Crop resistance; Global change ecology; Plant defence; Plant–herbivore interactions. |
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Thesagro : |
ECOLOGÍA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02425naa a2200265 a 4500
001 1062831
005 2022-03-15
008 2022 bl uuuu u00u1 u #d
024 7 $a10.6084/m9.figshare.c.5833004$2DOI
100 1 $aJOHNSON, S.N
245 $aElevated atmospheric CO 2 changes defence allocation in wheat but herbivore resistance persists.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 23 November 2021/Accepted: 14 January 2022. Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5833004.
520 $aAbstract: Predicting how plants allocate to different anti-herbivore defences in response to elevated carbon dioxide (CO2) concentrations is important for understanding future patterns of crop susceptibility to herbivory. Theories of defence allocation, especially in the context of environmental change, largely overlook the role of silicon (Si), despite it being the major anti-herbivore defence in the Poaceae. We demonstrated that elevated levels of atmospheric CO2 (e[CO2]) promoted plant growth by 33% and caused wheat (Triticum aestivum) to switch from Si (?19%) to phenolic (+44%) defences. Despite the lower levels of Si under e[CO2], resistance to the global pest Helicoverpa armigera persisted; relative growth rates (RGRs) were reduced by at least 33% on Si-supplied plants, irrespective of CO2 levels. RGR was negatively correlated with leaf Si concentrations. Mandible wear was c. 30% higher when feeding on Si-supplemented plants compared to those feeding on plants with no Si supply. We conclude that higher carbon availability under e[CO2] reduces silicification and causes wheat to increase concentrations of phenolics. However, Si supply, at all levels, suppressed the growth of H. armigera under both CO2 regimes, suggesting that shifts in defence allocation under future climate change may not compromise herbivore resistance in wheat.
650 $aECOLOGÍA
653 $aCrop resistance
653 $aGlobal change ecology
653 $aPlant defence
653 $aPlant–herbivore interactions
700 1 $aCIBILS-STEWART, X.
700 1 $aWATERMAN, J.M.
700 1 $aBIRU, F.N.
700 1 $aROWE, R.C.
700 1 $aHARTLEY, S.E.
773 $tProceedings of the Royal Society B: Biological Sciences, 2022, Volume 289, Issue 1969, Article number 20212536. doi: https://doi.org/10.6084/m9.figshare.c.5833004
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INIA La Estanzuela (LE) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
11/09/2014 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
MISZTAL, I.; VITEZICA, Z.G.; LEGARRA, A.; AGUILAR, I.; SWAN, A.A. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Unknown-parent groups in single-step genomic evaluation. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2013, v.130, no.4, p.252-258. |
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ISSN : |
0931-2668 |
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DOI : |
http://dx.doi.org/10.1111/jbg.12025 |
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Idioma : |
Inglés |
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Contenido : |
SUMMARY:.
In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model.
© 2013 Blackwell Verlag GmbH. |
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Palabras claves : |
BLUP (BEST LINEAR UNBIASED PREDICTION). |
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Thesagro : |
EVALUACIÓN GENÉTICA; GENÉTICA ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02024naa a2200229 a 4500
001 1050148
005 2021-06-24
008 2013 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $ahttp://dx.doi.org/10.1111/jbg.12025$2DOI
100 1 $aMISZTAL, I.
245 $aUnknown-parent groups in single-step genomic evaluation.$h[electronic resource]
260 $c2013
520 $aSUMMARY:. In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model. © 2013 Blackwell Verlag GmbH.
650 $aEVALUACIÓN GENÉTICA
650 $aGENÉTICA ANIMAL
653 $aBLUP (BEST LINEAR UNBIASED PREDICTION)
700 1 $aVITEZICA, Z.G.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aSWAN, A.A.
773 $tJournal of Animal Breeding and Genetics, 2013$gv.130, no.4, p.252-258.
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