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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
25/02/2021 |
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Actualizado : |
25/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MILECH, C. G.; DINI, M.; SCARIOTTO, S.; SANTOS, J.; HERTER, F. G.; RASEIRA, M. C. B. |
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Afiliación : |
C. G. MILECH, Postgraduate Program in Agronomy (PPGA), Faculty of Agronomy 'Eliseu Maciel', Federal University of Pelotas (FAEM-UFPel), Pelotas/RS, Brazil; MAXIMILIANO ANTONIO DINI VIÑOLY, Postgraduate Program in Agronomy (PPGA), Faculty of Agronomy 'Eliseu Maciel', Federal University of Pelotas (FAEM-UFPel), Pelotas/RS, Brazil; S. SCARIOTTO, Laboratory of Fruit Breeding, Embrapa Clima Temperado, Pelotas/RS, Brazil; J. SANTOS, Federal University of Maranhao (UFMA), Sao Luís/MA, Brazil; F. G. HERTER, Postgraduate Program in Agronomy (PPGA), Faculty of Agronomy 'Eliseu Maciel', Federal University of Pelotas (FAEM-UFPel), Pelotas/RS, Brazil; M. C. B. RASEIRA, Laboratory of Fruit Breeding, Embrapa Clima Temperado, Pelotas/RS, Brazil. |
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Título : |
Chilling requirement of ten peach cultivars estimated by different models. |
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Complemento del título : |
Original Research Article. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Journal of Experimental Agriculture International, February 2018, Volume 20, Issue 4, p. 1-9. Article no.JEAI.39204. DOI: https://doi.org/10.9734/JEAI/2018/39204 |
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ISSN : |
2457-0591 |
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DOI : |
10.9734/JEAI/2018/39204 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 23 November 2017; Accepted 31 January 2018; Published 8 February 2018.
Authors' contributions: This work was carried out in collaboration between all authors.Authors CGM, FGHand MCBR designed the study, wrote the protocol and wrote the first draft of the manuscript. Authors MD, SS and JS performed the statistical analysis and managed the literature searches. Author MCBR managed the analyses of the study. All authors read and approved the final manuscript. |
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Contenido : |
ABSTRACT.
The adaptation of a temperate climate fruit cultivar to a certain area depends mainly on its chilling requirement and the chilling accumulation in such places. Several attempts have been made to estimate these two conditions, using different models. The great variation among the models to calculate chilling requirement makes it necessary to determine their efficiency in a given location. Aiming to estimate the chilling requirement of ten peach cultivars, including Bonão, Pepita, Maravilha, Precocinho, Turmalina, Diamante, BR-3, Marfim, Coral, and Cambará do Sul, seven models were tested: Utah, Positive Utah, Low Chill, Taiwan, Chilling Hours (≤7.2°C), Chilling Hours (≤11°C), and Dynamic. The results showed that the estimation of chilling accumulation for all the studied cultivars in all the tested models showed a large variability. None of the tested models was perfect for estimating the chilling requirement, especially considering the variable climatic conditions of southern Brazil. Except for the Utah model, any of the others can be used to provide a rough estimate of the chilling requirement of the cultivars; however, the Taiwan and Low Chill models seem to be more suitable. The chilling requirement, which was estimated based on the average over the 11 years of the study, overestimated the real need, when compared to the yields over those years. There are differences among the studied cultivars; however, with the exception of Cambará do Sul, all the others can yield good crops and show good adaptation to the climatic conditions of the southern Rio Grande do Sul.
© Copyright 2010-Till Date, Journal of Experimental Agriculture International. All rights reserved. MenosABSTRACT.
The adaptation of a temperate climate fruit cultivar to a certain area depends mainly on its chilling requirement and the chilling accumulation in such places. Several attempts have been made to estimate these two conditions, using different models. The great variation among the models to calculate chilling requirement makes it necessary to determine their efficiency in a given location. Aiming to estimate the chilling requirement of ten peach cultivars, including Bonão, Pepita, Maravilha, Precocinho, Turmalina, Diamante, BR-3, Marfim, Coral, and Cambará do Sul, seven models were tested: Utah, Positive Utah, Low Chill, Taiwan, Chilling Hours (≤7.2°C), Chilling Hours (≤11°C), and Dynamic. The results showed that the estimation of chilling accumulation for all the studied cultivars in all the tested models showed a large variability. None of the tested models was perfect for estimating the chilling requirement, especially considering the variable climatic conditions of southern Brazil. Except for the Utah model, any of the others can be used to provide a rough estimate of the chilling requirement of the cultivars; however, the Taiwan and Low Chill models seem to be more suitable. The chilling requirement, which was estimated based on the average over the 11 years of the study, overestimated the real need, when compared to the yields over those years. There are differences among the studied cultivars; however, with the exception of Cambará do Sul, all the ... Presentar Todo |
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Palabras claves : |
Adaptation; Chill hours; Chill portions; Chill units; DORMANCY. |
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Thesagro : |
PRUNUS PERSICA. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15101/1/984-Article-Text-1737-1-10-20181009.pdf
https://www.journaljeai.com/index.php/JEAI/article/download/984/1375/
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Marc : |
LEADER 03090naa a2200289 a 4500
001 1061768
005 2021-02-25
008 2018 bl uuuu u00u1 u #d
022 $a2457-0591
024 7 $a10.9734/JEAI/2018/39204$2DOI
100 1 $aMILECH, C. G.
245 $aChilling requirement of ten peach cultivars estimated by different models.$h[electronic resource]
260 $c2018
500 $aArticle history: Received 23 November 2017; Accepted 31 January 2018; Published 8 February 2018. Authors' contributions: This work was carried out in collaboration between all authors.Authors CGM, FGHand MCBR designed the study, wrote the protocol and wrote the first draft of the manuscript. Authors MD, SS and JS performed the statistical analysis and managed the literature searches. Author MCBR managed the analyses of the study. All authors read and approved the final manuscript.
520 $aABSTRACT. The adaptation of a temperate climate fruit cultivar to a certain area depends mainly on its chilling requirement and the chilling accumulation in such places. Several attempts have been made to estimate these two conditions, using different models. The great variation among the models to calculate chilling requirement makes it necessary to determine their efficiency in a given location. Aiming to estimate the chilling requirement of ten peach cultivars, including Bonão, Pepita, Maravilha, Precocinho, Turmalina, Diamante, BR-3, Marfim, Coral, and Cambará do Sul, seven models were tested: Utah, Positive Utah, Low Chill, Taiwan, Chilling Hours (≤7.2°C), Chilling Hours (≤11°C), and Dynamic. The results showed that the estimation of chilling accumulation for all the studied cultivars in all the tested models showed a large variability. None of the tested models was perfect for estimating the chilling requirement, especially considering the variable climatic conditions of southern Brazil. Except for the Utah model, any of the others can be used to provide a rough estimate of the chilling requirement of the cultivars; however, the Taiwan and Low Chill models seem to be more suitable. The chilling requirement, which was estimated based on the average over the 11 years of the study, overestimated the real need, when compared to the yields over those years. There are differences among the studied cultivars; however, with the exception of Cambará do Sul, all the others can yield good crops and show good adaptation to the climatic conditions of the southern Rio Grande do Sul. © Copyright 2010-Till Date, Journal of Experimental Agriculture International. All rights reserved.
650 $aPRUNUS PERSICA
653 $aAdaptation
653 $aChill hours
653 $aChill portions
653 $aChill units
653 $aDORMANCY
700 1 $aDINI, M.
700 1 $aSCARIOTTO, S.
700 1 $aSANTOS, J.
700 1 $aHERTER, F. G.
700 1 $aRASEIRA, M. C. B.
773 $tJournal of Experimental Agriculture International, February 2018, Volume 20, Issue 4, p. 1-9. Article no.JEAI.39204. DOI: https://doi.org/10.9734/JEAI/2018/39204
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INIA Las Brujas (LB) |
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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 actual : |
08/06/2022 |
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Actualizado : |
01/12/2022 |
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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 : |
LARZABAL, J.; RODRIGUEZ, M.; YAMANAKA, N.; STEWART, S. |
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Afiliación : |
JHON LARZABAL PÉREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Magíster en Ciencias Agrarias, Facultad de Agronomía, Universidad de La República, Montevideo, Uruguay.; MARCELO JULIAN RODRIGUEZ ALONZO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NAOKI YAMANAKA, Biological Resources and Post-harvest Division, Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki, 305-8686, Japan.; SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Pathogenic variability of Asian soybean rust fungus within fields in Uruguay. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Tropical Plant Pathology, 2022, Volume 47, Issue 4, Pages 574-582. doi: https://doi.org/10.1007/s40858-022-00511-2 |
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DOI : |
10.1007/s40858-022-00511-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 January 2022/ Accepted 04 May 2022/ Published 26 May 2022.This study was partly financially supported by the National Institute for Agricultural Research (INIA) and partly by the Japan International Research Center for Agricultural Sciences (JIRCAS) research project ?Development of resilient crops and production technologies. |
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Contenido : |
Abstract:
Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields than among fields; thus, soybean cultivars can be exposed to up to 13 different pathotypes within a single field. This high diversity should be considered when breeding for resistance to this pathogen; thus, pyramiding mayor genes and introducing horizontal resistance should be considered. © 2022, The Author(s), under exclusive license to Sociedade Brasileira de Fitopatologia. MenosAbstract:
Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields tha... Presentar Todo |
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Palabras claves : |
Pathotype; PHAKOPSORA PACHYRHIZI; Urediniospore. |
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Thesagro : |
ENFERMEDADES DE LAS PLANTAS; SOJA. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 02980naa a2200241 a 4500
001 1063250
005 2022-12-01
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1007/s40858-022-00511-2$2DOI
100 1 $aLARZABAL, J.
245 $aPathogenic variability of Asian soybean rust fungus within fields in Uruguay.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 20 January 2022/ Accepted 04 May 2022/ Published 26 May 2022.This study was partly financially supported by the National Institute for Agricultural Research (INIA) and partly by the Japan International Research Center for Agricultural Sciences (JIRCAS) research project ?Development of resilient crops and production technologies.
520 $aAbstract: Asian soybean rust (ASR) caused by Phakopsora pachyrhizi is one of the most threatening diseases in soybean, the most important agricultural crop in Uruguay. Resistance to ASR is conditioned by major genes called Rpps. So far, at least 12 Rpp genes and/or alleles have been identified and mapped to seven loci in the soybean genome. To enhance genetic improvement and reduce yield losses in Uruguay, it is essential to know the pathotypes that interact with Rpp-carrying soybeans, their dynamics and diversity. Five commercial fields were sampled in different regions of the country during two seasons in order to determine the number of pathotypes to which soybeans are locally exposed. Three to 19 single-lesion isolates per field were obtained. Based on the number of uredinia per lesion and the sporulation level, avirulent/virulent phenotype was determined for each isolate by inoculating onto a differential set. Twenty-eight pathotypes were differentiated from a total of 50 isolates, 17 were unique, and 11 were recurrently isolated up to five times. The most frequent pathotype was found in one field only, while several pathotypes were shared among fields. Mayor genes Rpp1-b, Rpp5, and Rpp6 had resistant interactions with many of the isolates, while Rpp1-b and the soybean line with Rpp2, Rpp4, and Rpp5 stacked genes showed resistance to all isolates. In contrast, Rpp1 and Rpp3 showed susceptible reactions to all isolates. Pathogenic variability was higher within fields than among fields; thus, soybean cultivars can be exposed to up to 13 different pathotypes within a single field. This high diversity should be considered when breeding for resistance to this pathogen; thus, pyramiding mayor genes and introducing horizontal resistance should be considered. © 2022, The Author(s), under exclusive license to Sociedade Brasileira de Fitopatologia.
650 $aENFERMEDADES DE LAS PLANTAS
650 $aSOJA
653 $aPathotype
653 $aPHAKOPSORA PACHYRHIZI
653 $aUrediniospore
700 1 $aRODRIGUEZ, M.
700 1 $aYAMANAKA, N.
700 1 $aSTEWART, S.
773 $tTropical Plant Pathology, 2022, Volume 47, Issue 4, Pages 574-582. doi: https://doi.org/10.1007/s40858-022-00511-2
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