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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
06/06/2019 |
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Actualizado : |
12/06/2019 |
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Tipo de producción científica : |
Poster |
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Autor : |
AZZIMONTI, G.; DOMENIGUINI, V.; GONZALEZ, N.; GARCIA, R.; SAINT-PIERRE, C.; SINGH, P.; QUINCKE, M.; PEREYRA, S.; GERMAN, S. |
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Afiliación : |
GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VANESA DOMENIGUINI RIVOIR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NESTOR RICARDO GONZALEZ PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA SAINT-PIERRE; PAWAN SINGH; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Three years of the Precision Wheat Phenotyping Platform for diseases in Uruguay: current status and future prospects. [Poster]. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Proceedings of the Borlaug Global Rust Initiative Technical Workshop ,14-18 April, 2018, Marrakesh, Marruecos. |
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Idioma : |
Inglés |
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Contenido : |
Abstract: Since 2014 CGIAR-WHEAT Program has promoted the establishment of a network of field-based Precision Wheat Phenotyping Platforms (PWPP) to expand the existing collaborations between CIMMYT, ICARDA and National Agricultural Research System partners. The main goals are improving the quality of data collected and shared among institutions to enhance and accelerate the international wheat breeding, and promote synergism with the private sector and nongovernmental organizations. In 2015, the PWPP-Uruguay was established to test genotypes for multiple diseases: leaf rust, Fusarium head blight and Septoria tritici blotch. These diseases are phenotyped each year in separate field trials artificially inoculated with pathogen isolates identified as representatives of the pathogen regional population. Wheat material is sowed in plots with susceptible checks every 50 entries. Disease severity and other variables related to the disease development are measured using standard international scales at dates when the expression of plant resistance is optimal. In the first three years of the platform, more than 1500 genotypes were screened per year. These materials had diverse origins (more than eight institutions, public and private, from eight countries) and diverse types: from recent commercialized to ancient cultivars, advanced lines, International CIMMYT nurseries, mapping populations or panels. Highly resistant genotypes to multiple diseases could be selected. At the present time, we are developing and adopting advanced phenotyping methods, combining remote sensing and image analysis, and exploring their adaptation to breeding constraints. Also, extension activities as internships, training courses and student projects are being developed. Major future prospects are the enhancement of data and germplasm exchange between platform partners and the PWPP network and the involvement in collaborative phenotyping/genotyping breeding projects. MenosAbstract: Since 2014 CGIAR-WHEAT Program has promoted the establishment of a network of field-based Precision Wheat Phenotyping Platforms (PWPP) to expand the existing collaborations between CIMMYT, ICARDA and National Agricultural Research System partners. The main goals are improving the quality of data collected and shared among institutions to enhance and accelerate the international wheat breeding, and promote synergism with the private sector and nongovernmental organizations. In 2015, the PWPP-Uruguay was established to test genotypes for multiple diseases: leaf rust, Fusarium head blight and Septoria tritici blotch. These diseases are phenotyped each year in separate field trials artificially inoculated with pathogen isolates identified as representatives of the pathogen regional population. Wheat material is sowed in plots with susceptible checks every 50 entries. Disease severity and other variables related to the disease development are measured using standard international scales at dates when the expression of plant resistance is optimal. In the first three years of the platform, more than 1500 genotypes were screened per year. These materials had diverse origins (more than eight institutions, public and private, from eight countries) and diverse types: from recent commercialized to ancient cultivars, advanced lines, International CIMMYT nurseries, mapping populations or panels. Highly resistant genotypes to multiple diseases could be selected. At the present ti... Presentar Todo |
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Palabras claves : |
PLATAFORMA FENOTIPADO DE TRIGO; WHEAT PHENOTYPING PLATFORM. |
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Thesagro : |
ENFERMEDADES DE LAS PLANTAS. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 02803nam a2200241 a 4500
001 1059826
005 2019-06-12
008 2018 bl uuuu u00u1 u #d
100 1 $aAZZIMONTI, G.
245 $aThree years of the Precision Wheat Phenotyping Platform for diseases in Uruguay$bcurrent status and future prospects. [Poster].$h[electronic resource]
260 $aIn: Proceedings of the Borlaug Global Rust Initiative Technical Workshop ,14-18 April, 2018, Marrakesh, Marruecos.$c2018
520 $aAbstract: Since 2014 CGIAR-WHEAT Program has promoted the establishment of a network of field-based Precision Wheat Phenotyping Platforms (PWPP) to expand the existing collaborations between CIMMYT, ICARDA and National Agricultural Research System partners. The main goals are improving the quality of data collected and shared among institutions to enhance and accelerate the international wheat breeding, and promote synergism with the private sector and nongovernmental organizations. In 2015, the PWPP-Uruguay was established to test genotypes for multiple diseases: leaf rust, Fusarium head blight and Septoria tritici blotch. These diseases are phenotyped each year in separate field trials artificially inoculated with pathogen isolates identified as representatives of the pathogen regional population. Wheat material is sowed in plots with susceptible checks every 50 entries. Disease severity and other variables related to the disease development are measured using standard international scales at dates when the expression of plant resistance is optimal. In the first three years of the platform, more than 1500 genotypes were screened per year. These materials had diverse origins (more than eight institutions, public and private, from eight countries) and diverse types: from recent commercialized to ancient cultivars, advanced lines, International CIMMYT nurseries, mapping populations or panels. Highly resistant genotypes to multiple diseases could be selected. At the present time, we are developing and adopting advanced phenotyping methods, combining remote sensing and image analysis, and exploring their adaptation to breeding constraints. Also, extension activities as internships, training courses and student projects are being developed. Major future prospects are the enhancement of data and germplasm exchange between platform partners and the PWPP network and the involvement in collaborative phenotyping/genotyping breeding projects.
650 $aENFERMEDADES DE LAS PLANTAS
653 $aPLATAFORMA FENOTIPADO DE TRIGO
653 $aWHEAT PHENOTYPING PLATFORM
700 1 $aDOMENIGUINI, V.
700 1 $aGONZALEZ, N.
700 1 $aGARCIA, R.
700 1 $aSAINT-PIERRE, C.
700 1 $aSINGH, P.
700 1 $aQUINCKE, M.
700 1 $aPEREYRA, S.
700 1 $aGERMAN, S.
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/07/2023 |
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Actualizado : |
12/07/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
ORTEGA, G.; CHILIBROSTE, P.; GARRIDO, J.M.; WALLER, A.; FARIÑA, S.; LATTANZI, F. |
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Afiliación : |
G. ORTEGA, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; PABLO CHILIBROSTE, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 3 km 363, Paysandú, Uruguay; J. M. GARRIDO, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; ALICIA CAROLINA WALLER BARCENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Monitoring herbage mass and pasture growth rate of large grazing areas: a comparison of the correspondence, cost and reliability of indirect methods. |
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Complemento del título : |
Crops and Soils Research Paper. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
The Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES. |
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ISSN : |
0021-8596 |
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DOI : |
10.1017/S0021859623000333 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). -- |
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Contenido : |
Timely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved. MenosTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset high... Presentar Todo |
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Palabras claves : |
Aerial net primary productivity; Cattle; CDAX; Comparative yield method; Milk production. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FA844C9EEF4B5DAEA10063F15B9B847/S0021859623000333a.pdf
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Marc : |
LEADER 03237naa a2200277 a 4500
001 1064249
005 2023-07-12
008 2023 bl uuuu u00u1 u #d
022 $a0021-8596
024 7 $a10.1017/S0021859623000333$2DOI
100 1 $aORTEGA, G.
245 $aMonitoring herbage mass and pasture growth rate of large grazing areas$ba comparison of the correspondence, cost and reliability of indirect methods.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). --
520 $aTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved.
653 $aAerial net primary productivity
653 $aCattle
653 $aCDAX
653 $aComparative yield method
653 $aMilk production
700 1 $aCHILIBROSTE, P.
700 1 $aGARRIDO, J.M.
700 1 $aWALLER, A.
700 1 $aFARIÑA, S.
700 1 $aLATTANZI, F.
773 $tThe Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES.
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