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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
26/02/2018 |
Actualizado : |
26/02/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LEONI, C.; BRUZZONE, J.; VILLAMIL, J.J.; MARTINEZ, C.; MONTELONGO, M.J.; BENTANCUR, O.; CONDE, P. |
Afiliación : |
CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIANA BRUZZONE PIZZORNO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN JOSE VILLAMIL SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA CECILIA MARTINEZ ESTEFAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA JOSÉ MONTELONGO, Universidad de la República (UdelaR)/ Facultad de Agronomía; OSCAR BENTANCUR, Universidad de la República (UdelaR)/ Facultad de Agronomía; ANA PAULA CONDE INNAMORATO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Percentage of anthracnose (Colletotrichum acutatum s.s.) acceptable in olives for the production of extra virgin olive oil. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Crop Protection, June 2018, v.108: 47-43. |
DOI : |
10.1016/j.cropro.2018.02.013 |
Idioma : |
Inglés |
Notas : |
Article history: Received 15 February 2017; Revised 27 September 2017; Accepted 8 February 2018; Available online 22 February 2018.
Partial results were presented at 8th International Olive Symposium, Split, Croatia, 10?14 October 2016. |
Contenido : |
Abstract
Anthracnose olive rot (AOR) is the main fruit disease of olives, causing direct yield losses and declining oil quality. Fruit infection occurs either in spring during flowering and fruit-set or in summer from the beginning of veraison to harvest. Conducive weather conditions (rain, elevated air relative humidity, air temperature above 20 °C) and the lack of effective chemical control strategies may compromise olive oil production. To quantify AOR effect on olive oil quality and to establish threshold levels, olive oil was extracted from olives with increasing disease incidence (from 0 to 30%), along three consecutive seasons (2012?2014) in two cultivars (cv. Arbeqina and cv. Frantoio) and disease severity index was also determined.
© 2018 Elsevier Ltd. All rights reserved. |
Palabras claves : |
ARBEQUINA; FRANTOIO; OIL FREE ACIDITY; OLIVE OIL QUALITY; SOAPY OLIVE. |
Thesagro : |
ACEITE OLIVA; CULTIVARES; OLEA EUROPAEA; OLIVOS; URUGUAY. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 01969naa a2200337 a 4500 001 1058155 005 2018-02-26 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1016/j.cropro.2018.02.013$2DOI 100 1 $aLEONI, C. 245 $aPercentage of anthracnose (Colletotrichum acutatum s.s.) acceptable in olives for the production of extra virgin olive oil.$h[electronic resource] 260 $c2018 500 $aArticle history: Received 15 February 2017; Revised 27 September 2017; Accepted 8 February 2018; Available online 22 February 2018. Partial results were presented at 8th International Olive Symposium, Split, Croatia, 10?14 October 2016. 520 $aAbstract Anthracnose olive rot (AOR) is the main fruit disease of olives, causing direct yield losses and declining oil quality. Fruit infection occurs either in spring during flowering and fruit-set or in summer from the beginning of veraison to harvest. Conducive weather conditions (rain, elevated air relative humidity, air temperature above 20 °C) and the lack of effective chemical control strategies may compromise olive oil production. To quantify AOR effect on olive oil quality and to establish threshold levels, olive oil was extracted from olives with increasing disease incidence (from 0 to 30%), along three consecutive seasons (2012?2014) in two cultivars (cv. Arbeqina and cv. Frantoio) and disease severity index was also determined. © 2018 Elsevier Ltd. All rights reserved. 650 $aACEITE OLIVA 650 $aCULTIVARES 650 $aOLEA EUROPAEA 650 $aOLIVOS 650 $aURUGUAY 653 $aARBEQUINA 653 $aFRANTOIO 653 $aOIL FREE ACIDITY 653 $aOLIVE OIL QUALITY 653 $aSOAPY OLIVE 700 1 $aBRUZZONE, J. 700 1 $aVILLAMIL, J.J. 700 1 $aMARTINEZ, C. 700 1 $aMONTELONGO, M.J. 700 1 $aBENTANCUR, O. 700 1 $aCONDE, P. 773 $tCrop Protection, June 2018$gv.108: 47-43.
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
24/11/2015 |
Actualizado : |
24/06/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - A |
Autor : |
COTTLE, D.J.; VELAZCO, J.I.; HEGARTY, R.S.; MAYER, D.G. |
Afiliación : |
JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Animal, 2015, v. 9 (12), p. 1949-1957. |
DOI : |
10.1017/S1751731115001676 |
Idioma : |
Inglés |
Notas : |
Article history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015. |
Contenido : |
Spot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made. MenosSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by ... Presentar Todo |
Palabras claves : |
GASES DE EFECTO INVERNADERO; GREENFEED; MODELS; SPLINES. |
Thesagro : |
METANO; MODELOS ANIMALES; VACUNOS. |
Asunto categoría : |
-- |
Marc : |
LEADER 03126naa a2200265 a 4500 001 1053984 005 2021-06-24 008 2015 bl uuuu u00u1 u #d 024 7 $a10.1017/S1751731115001676$2DOI 100 1 $aCOTTLE, D.J. 245 $aEstimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements.$h[electronic resource] 260 $c2015 500 $aArticle history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015. 520 $aSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made. 650 $aMETANO 650 $aMODELOS ANIMALES 650 $aVACUNOS 653 $aGASES DE EFECTO INVERNADERO 653 $aGREENFEED 653 $aMODELS 653 $aSPLINES 700 1 $aVELAZCO, J.I. 700 1 $aHEGARTY, R.S. 700 1 $aMAYER, D.G. 773 $tAnimal, 2015$gv. 9 (12), p. 1949-1957.
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