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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
Fecha : |
21/02/2014 |
Actualizado : |
29/10/2019 |
Tipo de producción científica : |
Documentos |
Autor : |
CARDOZO, O.; GRIERSON, J.; MAS, C.; BONILLA, O.; ACEVEDO, A.; VIDIELLA, J.C. |
Afiliación : |
OSVALDO CARDOZO, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este.; JOHN GRIERSON, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este.; CARLOS MAS, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este.; OSCAR BONILLA, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este.; ANTONIO ACEVEDO, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este.; JUAN CARLOS VIDIELLA, CIAAB (Centro de Investigaciones Agrícolas "Alberto Boerger"). Estación Experimental del Este. |
Título : |
Utilización de pasturas con bovinos en región este: Unidades El Ceibo, Charqueada, Lascano, Rincón de Ramírez, Sierra Polanco y Alferez. |
Fecha de publicación : |
1978 |
Fuente / Imprenta : |
ln: "Uruguay. Centro de Investigaciones Agrícolas ""Alberto Boerger"" (CIAAB)". Pasturas 4. Montevideo (Uruguay): CIAAB, 1978. |
Páginas : |
p. 137-167 |
Serie : |
(Miscelánea CIAAB; 18) |
Idioma : |
Español |
Thesagro : |
ANALISIS ECONOMICO; DISPONIBILIDAD DE NUTRIENTES; GANADO DE CARNE; GANANCIA DE PESO; MANEJO DE PRADERAS; PRODUCCION DE CARNE; PRODUCCION DE PIENSOS; URUGUAY. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4537/1/18-PASTURAS-IV.pdf
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Marc : |
LEADER 00957naa a2200289 a 4500 001 1054952 005 2019-10-29 008 1978 bl uuuu u00u1 u #d 100 1 $aCARDOZO, O. 245 $aUtilización de pasturas con bovinos en región este$bUnidades El Ceibo, Charqueada, Lascano, Rincón de Ramírez, Sierra Polanco y Alferez. 260 $c1978 300 $ap. 137-167 490 $a(Miscelánea CIAAB; 18) 650 $aANALISIS ECONOMICO 650 $aDISPONIBILIDAD DE NUTRIENTES 650 $aGANADO DE CARNE 650 $aGANANCIA DE PESO 650 $aMANEJO DE PRADERAS 650 $aPRODUCCION DE CARNE 650 $aPRODUCCION DE PIENSOS 650 $aURUGUAY 700 1 $aGRIERSON, J. 700 1 $aMAS, C. 700 1 $aBONILLA, O. 700 1 $aACEVEDO, A. 700 1 $aVIDIELLA, J.C. 773 $tln: "Uruguay. Centro de Investigaciones Agrícolas ""Alberto Boerger"" (CIAAB)". Pasturas 4. Montevideo (Uruguay): CIAAB, 1978.
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Registro original : |
INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
12/12/2017 |
Actualizado : |
12/12/2017 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
LADO, B.; BATTENFIELD, S.; SILVA, P.; QUINCKE, M.; GUZMAN, C.; SINGH, R.P.; DREISIGACKER, S.; PEÑA, J.; FRITZ, A.; POLAND, J.; GUTIERREZ, L. |
Afiliación : |
BETTINA LADO, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; SARAH BATTENFIELD, AgriPro Wheat, Syngenta, 11783 Ascher Rd. Junction City, KS, 66441, USA.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GUZMAN, CIMMYT, El Batan, Mexico, Mexico.; RAVI P. SINGH, CIMMYT, El Batan, Mexico, Mexico.; SUSANNE DREISIGACKER, CIMMYT, El Batan, Mexico, Mexico.; JAVIER PEÑA, CIMMYT, El Batan, Mexico, Mexico.; ALLAN FRITZ, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA; .; JESSE POLAND, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA.; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin, 1575 Linden Dr., Madison, WI 53706, USA. |
Título : |
Comparing strategies to select crosses using genomic prediction in two wheat breeding programs. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria. |
Páginas : |
p.88-90. |
Idioma : |
Español |
Contenido : |
Key message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed. MenosKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2)... Presentar Todo |
Palabras claves : |
WHEAT BREEDING PROGRAMS; WHEAT QUALITY. |
Thesagro : |
MEJORAMIENTO GENETICO DE PLANTAS; TRIGO. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 02689nam a2200289 a 4500 001 1057873 005 2017-12-12 008 2017 bl uuuu u01u1 u #d 100 1 $aLADO, B. 245 $aComparing strategies to select crosses using genomic prediction in two wheat breeding programs. 260 $aIn: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria.$c2017 300 $ap.88-90. 520 $aKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross. In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed. 650 $aMEJORAMIENTO GENETICO DE PLANTAS 650 $aTRIGO 653 $aWHEAT BREEDING PROGRAMS 653 $aWHEAT QUALITY 700 1 $aBATTENFIELD, S. 700 1 $aSILVA, P. 700 1 $aQUINCKE, M. 700 1 $aGUZMAN, C. 700 1 $aSINGH, R.P. 700 1 $aDREISIGACKER, S. 700 1 $aPEÑA, J. 700 1 $aFRITZ, A. 700 1 $aPOLAND, J. 700 1 $aGUTIERREZ, L.
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