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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
06/06/2019 |
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Actualizado : |
14/08/2019 |
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Tipo de producción científica : |
Poster |
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Autor : |
PEZARD, J.; FERNANDEZ, P.; PEREYRA, S.; QUINCKE, M.; SAINT-PIERRE, C.; SINGH, P.K.; AZZIMONTI, G. |
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Afiliación : |
AgroParisTech, Paris, France.; PETER DENNIS FERNANDEZ GRAF, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA SAINT-PIERRE, International Maize and Wheat Improvement Center (CIMMYT), El Batán, México.; PAWAN K. SINGH, International Maize and Wheat Improvement Center (CIMMYT), El Batán, México.; GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Adapting automated image analysis to breeding programs constraints for the characterization of the resistance to leaf rust and other diseases. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Proceedings of the International Cereal Rusts and Powdery Mildew Conference (ICRPMC): Skukuza, South Africa, 23-26 september 2018. |
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Idioma : |
Inglés |
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Contenido : |
Description:
Disease phenotyping methods used in breeding programs to characterize the level of resistance of breeding materials usually consist on visual scores (VS) of disease symptoms determined in field trials. VS are considered as high time-consuming and rely on experienced operators. Nevertheless, up to date, it is the only method that has an efficient time/effort relationship considering breeding constrains. The objective was to develop a phenotyping methodology based on automated image analysis (AIA) for leaf diseases, adapted to the constraints of a breeding program. 410 wheat lines from 5 different breeding programs were sowed in three field trials, as part of the materials tested in 2017 at the multi-disease phenotyping platform INIA-CIMMYT, Uruguay. One trial was inoculated with Puccinia triticina isolates the second with Zymoseptoria tritici isolates and the third had natural infection of P. striiformis f. sp. tritici. Six flag leaves per genotype were cut and scanned with a flatbed scanner. A script was developed in the ImageJ software to autonomously recognize and measure the leaf diseased surface. Disease recognition and surface measurements were based on the different threshold color patterns of each disease. Host response was also determined for leaf and stripe rust, measuring the ratio of necrosis-chlorosis/sporulation area of lesions. AIA recognized the different diseases (error<5%). The diseased surfaces obtained by AIA correlated significantly and positively with the VS measured for the three diseases. Host responses estimated by AIA were the same as determined visually, (error<5%). AIA was fast, a mean of 214 leaves/hour analyzed, taking into account the adjustments of color thresholds and the validation of AIA. However, the time to prepare and scan the leaves was higher than the VS: a mean of 205 lines could be scanned per person/day while a mean of 402 lines per person/day could be visually scored. Adjustments to the scan methodology are being carried out to enhance the speed at this step. Nevertheless, AIA can be a performing alternative to VS in limited panels or mapping populations that undergo QTL analysis, where precise measurements of quantitative resistance variables are required to detect QTL with moderate effects and QTL interactions. MenosDescription:
Disease phenotyping methods used in breeding programs to characterize the level of resistance of breeding materials usually consist on visual scores (VS) of disease symptoms determined in field trials. VS are considered as high time-consuming and rely on experienced operators. Nevertheless, up to date, it is the only method that has an efficient time/effort relationship considering breeding constrains. The objective was to develop a phenotyping methodology based on automated image analysis (AIA) for leaf diseases, adapted to the constraints of a breeding program. 410 wheat lines from 5 different breeding programs were sowed in three field trials, as part of the materials tested in 2017 at the multi-disease phenotyping platform INIA-CIMMYT, Uruguay. One trial was inoculated with Puccinia triticina isolates the second with Zymoseptoria tritici isolates and the third had natural infection of P. striiformis f. sp. tritici. Six flag leaves per genotype were cut and scanned with a flatbed scanner. A script was developed in the ImageJ software to autonomously recognize and measure the leaf diseased surface. Disease recognition and surface measurements were based on the different threshold color patterns of each disease. Host response was also determined for leaf and stripe rust, measuring the ratio of necrosis-chlorosis/sporulation area of lesions. AIA recognized the different diseases (error<5%). The diseased surfaces obtained by AIA correlated significantly and posit... Presentar Todo |
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Palabras claves : |
INIA-CIMMYT; PLATAFORMA FENOTIPADO DE TRIGO; RUST DISEASE; WHEAT. |
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Thesagro : |
ENFERMEDADES DE LAS PLANTAS; Trigo. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13100/1/PosterPezardetalICRPMC2018.pdf
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Marc : |
LEADER 03183nam a2200253 a 4500
001 1059824
005 2019-08-14
008 2018 bl uuuu u00u1 u #d
100 1 $aPEZARD, J.
245 $aAdapting automated image analysis to breeding programs constraints for the characterization of the resistance to leaf rust and other diseases.$h[electronic resource]
260 $aIn: Proceedings of the International Cereal Rusts and Powdery Mildew Conference (ICRPMC): Skukuza, South Africa, 23-26 september 2018.$c2018
520 $aDescription: Disease phenotyping methods used in breeding programs to characterize the level of resistance of breeding materials usually consist on visual scores (VS) of disease symptoms determined in field trials. VS are considered as high time-consuming and rely on experienced operators. Nevertheless, up to date, it is the only method that has an efficient time/effort relationship considering breeding constrains. The objective was to develop a phenotyping methodology based on automated image analysis (AIA) for leaf diseases, adapted to the constraints of a breeding program. 410 wheat lines from 5 different breeding programs were sowed in three field trials, as part of the materials tested in 2017 at the multi-disease phenotyping platform INIA-CIMMYT, Uruguay. One trial was inoculated with Puccinia triticina isolates the second with Zymoseptoria tritici isolates and the third had natural infection of P. striiformis f. sp. tritici. Six flag leaves per genotype were cut and scanned with a flatbed scanner. A script was developed in the ImageJ software to autonomously recognize and measure the leaf diseased surface. Disease recognition and surface measurements were based on the different threshold color patterns of each disease. Host response was also determined for leaf and stripe rust, measuring the ratio of necrosis-chlorosis/sporulation area of lesions. AIA recognized the different diseases (error<5%). The diseased surfaces obtained by AIA correlated significantly and positively with the VS measured for the three diseases. Host responses estimated by AIA were the same as determined visually, (error<5%). AIA was fast, a mean of 214 leaves/hour analyzed, taking into account the adjustments of color thresholds and the validation of AIA. However, the time to prepare and scan the leaves was higher than the VS: a mean of 205 lines could be scanned per person/day while a mean of 402 lines per person/day could be visually scored. Adjustments to the scan methodology are being carried out to enhance the speed at this step. Nevertheless, AIA can be a performing alternative to VS in limited panels or mapping populations that undergo QTL analysis, where precise measurements of quantitative resistance variables are required to detect QTL with moderate effects and QTL interactions.
650 $aENFERMEDADES DE LAS PLANTAS
650 $aTrigo
653 $aINIA-CIMMYT
653 $aPLATAFORMA FENOTIPADO DE TRIGO
653 $aRUST DISEASE
653 $aWHEAT
700 1 $aFERNANDEZ, P.
700 1 $aPEREYRA, S.
700 1 $aQUINCKE, M.
700 1 $aSAINT-PIERRE, C.
700 1 $aSINGH, P.K.
700 1 $aAZZIMONTI, G.
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Registro original : |
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 : |
25/02/2021 |
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Actualizado : |
25/03/2021 |
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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 : |
ABREU, E. S.; DINI, M.; CARRA, B.; MARCHI, P. M.; HERTER, F. G.; MELLO-FARIAS, P. C. |
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Afiliación : |
E. S. ABREU, Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil; MAXIMILIANO ANTONIO DINI VIÑOLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil; BRUNO CARRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil; P. M. MARCHI, Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil; F. G. HERTER, Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil; P.C. MELLO-FARIAS, Programa de Pós-Graduaçao em Agronomia (PPGA), Universidade Federal de Pelotas (UFPel), Pelotas-RS, Brazil. |
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Título : |
Bud break promoters following different chilling hour accumulation of 'Hosui' pear. [Conference paper]. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Acta Horticulturae, February 2021, N°1303, p. 299-304. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.42 |
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ISSN : |
0567-7572 (print); 2406-6168 (electronic) |
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DOI : |
10.17660/ActaHortic.2021.1303.42 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein. |
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Contenido : |
ABSTRACT.
Pear is a temperate crop, which grows in mild winter regions, and may present several development anomalies, which can negatively affect yield and fruit quality. To overcome these obstacles and achieve economically satisfactory yields, the use of bud break promoters has shown promising results. The most used promoters are hydrogen cyanamide (HC), mineral oil (MO) and Erger®. The present study aimed to evaluate the effectiveness of HC, MO and Erger® following different chilling hour accumulation on bud break of 'Hosui' pear. 'Hosui' pear shoots were collected with 103 chill hours (CH) and conditioned in cold storage at 4±1°C for 0, 6, 12, 18, 24 and 30 days. For each date, shoots were cut as single bud cuttings, where the following treatments were applied in four replications of ten cuttings: control (water), HC 1%, MO 5%, Erger® 3% + calcium nitrate 3%, and HC 0.5% + OM 3%. After these, they were forced in a growth chamber until bud break, which was assessed every two days to estimate the bud break percentage and average bud break time. Bud break percentage showed no difference between treatments when submitted to 0 and 6 days (247 CH) of cold storage. After 12 days (391 CH), HC and HC + MO increase bud break percentage compared to the control. Those exposed to 18 days (535 CH) and treated with HC and HC + MO showed no significant difference in the bud break percentage compared to the control, whereas Erger® and MO significantly decreased the bud break percentage compared to other treatments. The average bud break time of HC treated cuttings was advanced the most and control delayed the most. When cuttings were subjected to low chilling hour accumulation, HC and HC + MO were more effective in bud break compared to Erger® and the control, while with higher chilling hour accumulation, the bud break promoters were dispensable.
@ International Society for Horticultural Science. MenosABSTRACT.
Pear is a temperate crop, which grows in mild winter regions, and may present several development anomalies, which can negatively affect yield and fruit quality. To overcome these obstacles and achieve economically satisfactory yields, the use of bud break promoters has shown promising results. The most used promoters are hydrogen cyanamide (HC), mineral oil (MO) and Erger®. The present study aimed to evaluate the effectiveness of HC, MO and Erger® following different chilling hour accumulation on bud break of 'Hosui' pear. 'Hosui' pear shoots were collected with 103 chill hours (CH) and conditioned in cold storage at 4±1°C for 0, 6, 12, 18, 24 and 30 days. For each date, shoots were cut as single bud cuttings, where the following treatments were applied in four replications of ten cuttings: control (water), HC 1%, MO 5%, Erger® 3% + calcium nitrate 3%, and HC 0.5% + OM 3%. After these, they were forced in a growth chamber until bud break, which was assessed every two days to estimate the bud break percentage and average bud break time. Bud break percentage showed no difference between treatments when submitted to 0 and 6 days (247 CH) of cold storage. After 12 days (391 CH), HC and HC + MO increase bud break percentage compared to the control. Those exposed to 18 days (535 CH) and treated with HC and HC + MO showed no significant difference in the bud break percentage compared to the control, whereas Erger® and MO significantly decreased the bud break percentage c... Presentar Todo |
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Palabras claves : |
Dormancy; Erger®; Hydrogen cyanamide; Mild winter conditions; Mineral oil; Pyrus pyrifolia Nakai. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03083naa a2200289 a 4500
001 1061762
005 2021-03-25
008 2021 bl uuuu u00u1 u #d
022 $a0567-7572 (print); 2406-6168 (electronic)
024 7 $a10.17660/ActaHortic.2021.1303.42$2DOI
100 1 $aABREU, E. S.
245 $aBud break promoters following different chilling hour accumulation of 'Hosui' pear. [Conference paper].$h[electronic resource]
260 $c2021
500 $aArticle history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.
520 $aABSTRACT. Pear is a temperate crop, which grows in mild winter regions, and may present several development anomalies, which can negatively affect yield and fruit quality. To overcome these obstacles and achieve economically satisfactory yields, the use of bud break promoters has shown promising results. The most used promoters are hydrogen cyanamide (HC), mineral oil (MO) and Erger®. The present study aimed to evaluate the effectiveness of HC, MO and Erger® following different chilling hour accumulation on bud break of 'Hosui' pear. 'Hosui' pear shoots were collected with 103 chill hours (CH) and conditioned in cold storage at 4±1°C for 0, 6, 12, 18, 24 and 30 days. For each date, shoots were cut as single bud cuttings, where the following treatments were applied in four replications of ten cuttings: control (water), HC 1%, MO 5%, Erger® 3% + calcium nitrate 3%, and HC 0.5% + OM 3%. After these, they were forced in a growth chamber until bud break, which was assessed every two days to estimate the bud break percentage and average bud break time. Bud break percentage showed no difference between treatments when submitted to 0 and 6 days (247 CH) of cold storage. After 12 days (391 CH), HC and HC + MO increase bud break percentage compared to the control. Those exposed to 18 days (535 CH) and treated with HC and HC + MO showed no significant difference in the bud break percentage compared to the control, whereas Erger® and MO significantly decreased the bud break percentage compared to other treatments. The average bud break time of HC treated cuttings was advanced the most and control delayed the most. When cuttings were subjected to low chilling hour accumulation, HC and HC + MO were more effective in bud break compared to Erger® and the control, while with higher chilling hour accumulation, the bud break promoters were dispensable. @ International Society for Horticultural Science.
653 $aDormancy
653 $aErger®
653 $aHydrogen cyanamide
653 $aMild winter conditions
653 $aMineral oil
653 $aPyrus pyrifolia Nakai
700 1 $aDINI, M.
700 1 $aCARRA, B.
700 1 $aMARCHI, P. M.
700 1 $aHERTER, F. G.
700 1 $aMELLO-FARIAS, P. C.
773 $tActa Horticulturae, February 2021, N°1303, p. 299-304. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.42
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