|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
15/01/2018 |
Actualizado : |
15/01/2018 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
TISCORNIA, G.; GIMÉNEZ, A.; CAL, A.; CASTAÑO, J.P. |
Afiliación : |
GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
SIGRAS App: climate, vegetation and soil information for support systems for decision making in agricultural production through smart devices. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Proceedings of the First International Conference on Agro Big Data and Decision Support Systems in Agriculture, September 27-29 2017, Montevideo, Uruguay. |
Páginas : |
p.175-177 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
One of the most important adaptation measure to Climate Change and Variability is the development of tools and systems to support agricultural activities management and preservation of natural resources. The GRAS Unit of the National Institute of Agricultural Research (INIA Uruguay), elaborate and make available tools and products to contribute to these goals (www.inia.uy/gras). In this regard, "SIGRAS App" was developed, with up-to-date information (estimates of soil water balance variables, NDVI) and historical data (NDVI, soil features, water balance, climate and basic cartography) as well as Tools and Alerts. Information developed with MGAP, INUMET, IRI. Available: Android, iOS and WPhone, |
Palabras claves : |
APP; CLIMATE CHANGE; SIGRAS; SIGRAS APP. |
Thesagro : |
APLICACIONES; CAMBIO CLIMÁTICO. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8234/1/Tiscornia-G.-2017.-SIGRAS-App.Proceedings-1st-International-Conference-on-Agro-Big-Data-and-Decision-Support-Systems.pdf
|
Marc : |
LEADER 01518nam a2200229 a 4500 001 1057959 005 2018-01-15 008 2017 bl uuuu u01u1 u #d 100 1 $aTISCORNIA, G. 245 $aSIGRAS App$bclimate, vegetation and soil information for support systems for decision making in agricultural production through smart devices.$h[electronic resource] 260 $aIn: Proceedings of the First International Conference on Agro Big Data and Decision Support Systems in Agriculture, September 27-29 2017, Montevideo, Uruguay.$c2017 300 $ap.175-177 520 $aABSTRACT. One of the most important adaptation measure to Climate Change and Variability is the development of tools and systems to support agricultural activities management and preservation of natural resources. The GRAS Unit of the National Institute of Agricultural Research (INIA Uruguay), elaborate and make available tools and products to contribute to these goals (www.inia.uy/gras). In this regard, "SIGRAS App" was developed, with up-to-date information (estimates of soil water balance variables, NDVI) and historical data (NDVI, soil features, water balance, climate and basic cartography) as well as Tools and Alerts. Information developed with MGAP, INUMET, IRI. Available: Android, iOS and WPhone, 650 $aAPLICACIONES 650 $aCAMBIO CLIMÁTICO 653 $aAPP 653 $aCLIMATE CHANGE 653 $aSIGRAS 653 $aSIGRAS APP 700 1 $aGIMÉNEZ, A. 700 1 $aCAL, A. 700 1 $aCASTAÑO, J.P.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
25/02/2021 |
Actualizado : |
25/02/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MILECH, C. G.; DINI, M.; SCARIOTTO, S.; SANTOS, J.; HERTER, F. G.; RASEIRA, M. C. B. |
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. |
Título : |
Chilling requirement of ten peach cultivars estimated by different models. |
Complemento del título : |
Original Research Article. |
Fecha de publicación : |
2018 |
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 |
ISSN : |
2457-0591 |
DOI : |
10.9734/JEAI/2018/39204 |
Idioma : |
Inglés |
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. |
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 |
Palabras claves : |
Adaptation; Chill hours; Chill portions; Chill units; DORMANCY. |
Thesagro : |
PRUNUS PERSICA. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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/
|
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
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|