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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
26/07/2021 |
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Actualizado : |
26/07/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
TSENG, C-M.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; PITTELKOW, C. M. |
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Afiliación : |
MENG-CHUN TSENG, Department of Crop Sciences, University of Illinois, Urbana, IL 61801, USA; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MUZIO MARELLA, Sociedad Anónima Molinos Arroceros Nacionales (SAMAN), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON M. PITTELKOW, Department of Plant Sciences, University of California, Davis, CA 95616, USA. |
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Título : |
Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Current Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070 |
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DOI : |
10.1016/j.crsust.2021.100070 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021. |
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Contenido : |
A major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one
indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seeding date. With potential application to rice production systems worldwide, this study highlights an integrated research approach for quantifying synergies and tradeoffs among multiple indicators to understand opportunities for increasing crop yields without negatively impacting resource use efficiency and environmental footprint. MenosA major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one
indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seed... Presentar Todo |
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Palabras claves : |
CARBON FOOTPRINT; ENVIRONMENTAL IMPACT; NITROGEN USE EFFICIENCE; RICE; SUSTAINABILITY; TRADEOFFS. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15908/1/Current-Research-Environmental-Sustainability-2021-3-100070.pdf
https://www.sciencedirect.com/science/article/pii/S2666049021000463
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Marc : |
LEADER 02847naa a2200277 a 4500
001 1062325
005 2021-07-26
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.crsust.2021.100070$2DOI
100 1 $aTSENG, C-M.
245 $aSynergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021.
520 $aA major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seeding date. With potential application to rice production systems worldwide, this study highlights an integrated research approach for quantifying synergies and tradeoffs among multiple indicators to understand opportunities for increasing crop yields without negatively impacting resource use efficiency and environmental footprint.
653 $aCARBON FOOTPRINT
653 $aENVIRONMENTAL IMPACT
653 $aNITROGEN USE EFFICIENCE
653 $aRICE
653 $aSUSTAINABILITY
653 $aTRADEOFFS
700 1 $aROEL, A.
700 1 $aMACEDO, I.
700 1 $aMARELLA, M.
700 1 $aTERRA, J.A.
700 1 $aPITTELKOW, C. M.
773 $tCurrent Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070
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Registro original : |
INIA Treinta y Tres (TT) |
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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; INIA Tacuarembó. |
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Fecha actual : |
16/11/2015 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
MEDEROS, A.; KELTON, D.; PEREGRINE, A.S.; VANLEEUWEN, J.; FERNÁNDEZ, S.; LEBOEUF, A.; MENZIES, P.; MARTIN, R. |
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Afiliación : |
AMERICA ESTHER MEDEROS SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Evaluation of the utility of subjective clinical parameters for estimating fecal egg counts and packed cell volume in Canadian sheep flocks. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Veterinary Parasitology, 2014, v.205, p. 568?574. |
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ISSN : |
0304-4017 |
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DOI : |
10.1016/j.vetpar.2014.08.030 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 February 2014 / Received in revised form 8 August 2014 / Accepted 30 August 2014. |
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Contenido : |
ABSTRACT.
A study was conducted in sheep on Canadian farms to describe the relationship between packed cell volume (PCV) or fecal egg counts (FEC) and subjective clinical parameters that
may indicate the severity of parasitic gastroenteritis. Twenty-one farms in Ontario (ON) and 8 farms in Quebec (QC) were purposively selected and visited during April?May (spring)
and August (summer) 2007. At each farm visit, blood and fecal samples were collected from 10 ewes and 10 female lambs; body condition score (BCS), dag score (DS), fecal consistency score (FCS) and FAMACHA score were recorded for all sampled sheep. Packed cell volume was determined for all blood samples, and FEC were performed for all fecal samples. Summary statistics and simple correlations were performed for the parameters recorded. Two mixed models with random effects at the farm level were developed; one using PCV as the response variable and another using the natural log of eggs per gram of feces (lnEPG). Finally, the residuals from both models were correlated to the covariates in the models. The mean PCV values during the spring were 29.7% and 36.7% for lambs, and 28.8% and 31.1% for ewes, in ON and QC, respectively. During the summer, the mean PCV was 32.0% and 32.8% for lambs, and 30.1% and 29.9% for ewes, in ON and QC, respectively. The arithmetic mean FEC per gram of feces (EPG) during the spring was 3 and 2 for lambs, and 1266 and 789 for ewes, in ON and QC, respectively, whereas during summer the arithmetic mean EPG was 907 and 237 for lambs, and 458 and 246 for ewes, in ON and QC, respectively. Results from simple correlations indicated that PCV was negatively correlated with lnEPG (r = −0.255; r2 = 6.5%) and FAMACHA (r = −0.312; r2 = 9.7%), and positively correlated with BCS (r = 0.317; r2 = 10%). LnEPG was negatively correlated with BCS (r = −0.232; r2 = 5.4%) and PCV (r = −0.255; r2 = 6.5%), but positively correlated with FAMACHA (r = 0.178; r2 = 3.2%) and DS (r = 0.086; r2 = 0.7%). Results from the models indicated that PCV and lnEPG residuals were negatively correlated with FAMACHA, FCS and almost all categories of BCS and DS, although the correlations were very low. The main results from this study suggested that none of the subjective clinical parameters evaluated were highly correlated with PCV or lnEPG and therefore were not good predictors of lnEPG or PCV on the studied farms in Ontario and Quebec.
© 2014 Elsevier B.V. All rights reserved MenosABSTRACT.
A study was conducted in sheep on Canadian farms to describe the relationship between packed cell volume (PCV) or fecal egg counts (FEC) and subjective clinical parameters that
may indicate the severity of parasitic gastroenteritis. Twenty-one farms in Ontario (ON) and 8 farms in Quebec (QC) were purposively selected and visited during April?May (spring)
and August (summer) 2007. At each farm visit, blood and fecal samples were collected from 10 ewes and 10 female lambs; body condition score (BCS), dag score (DS), fecal consistency score (FCS) and FAMACHA score were recorded for all sampled sheep. Packed cell volume was determined for all blood samples, and FEC were performed for all fecal samples. Summary statistics and simple correlations were performed for the parameters recorded. Two mixed models with random effects at the farm level were developed; one using PCV as the response variable and another using the natural log of eggs per gram of feces (lnEPG). Finally, the residuals from both models were correlated to the covariates in the models. The mean PCV values during the spring were 29.7% and 36.7% for lambs, and 28.8% and 31.1% for ewes, in ON and QC, respectively. During the summer, the mean PCV was 32.0% and 32.8% for lambs, and 30.1% and 29.9% for ewes, in ON and QC, respectively. The arithmetic mean FEC per gram of feces (EPG) during the spring was 3 and 2 for lambs, and 1266 and 789 for ewes, in ON and QC, respectively, whereas during summer the arithm... Presentar Todo |
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Palabras claves : |
NEMATODOS GASTROINTESTINALES. |
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Thesagro : |
OVINOS. |
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Asunto categoría : |
--
L73 Enfermedades de los animales |
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Marc : |
LEADER 03399naa a2200265 a 4500
001 1053920
005 2019-10-15
008 2014 bl uuuu u00u1 u #d
022 $a0304-4017
024 7 $a10.1016/j.vetpar.2014.08.030$2DOI
100 1 $aMEDEROS, A.
245 $aEvaluation of the utility of subjective clinical parameters for estimating fecal egg counts and packed cell volume in Canadian sheep flocks.$h[electronic resource]
260 $c2014
500 $aArticle history: Received 12 February 2014 / Received in revised form 8 August 2014 / Accepted 30 August 2014.
520 $aABSTRACT. A study was conducted in sheep on Canadian farms to describe the relationship between packed cell volume (PCV) or fecal egg counts (FEC) and subjective clinical parameters that may indicate the severity of parasitic gastroenteritis. Twenty-one farms in Ontario (ON) and 8 farms in Quebec (QC) were purposively selected and visited during April?May (spring) and August (summer) 2007. At each farm visit, blood and fecal samples were collected from 10 ewes and 10 female lambs; body condition score (BCS), dag score (DS), fecal consistency score (FCS) and FAMACHA score were recorded for all sampled sheep. Packed cell volume was determined for all blood samples, and FEC were performed for all fecal samples. Summary statistics and simple correlations were performed for the parameters recorded. Two mixed models with random effects at the farm level were developed; one using PCV as the response variable and another using the natural log of eggs per gram of feces (lnEPG). Finally, the residuals from both models were correlated to the covariates in the models. The mean PCV values during the spring were 29.7% and 36.7% for lambs, and 28.8% and 31.1% for ewes, in ON and QC, respectively. During the summer, the mean PCV was 32.0% and 32.8% for lambs, and 30.1% and 29.9% for ewes, in ON and QC, respectively. The arithmetic mean FEC per gram of feces (EPG) during the spring was 3 and 2 for lambs, and 1266 and 789 for ewes, in ON and QC, respectively, whereas during summer the arithmetic mean EPG was 907 and 237 for lambs, and 458 and 246 for ewes, in ON and QC, respectively. Results from simple correlations indicated that PCV was negatively correlated with lnEPG (r = −0.255; r2 = 6.5%) and FAMACHA (r = −0.312; r2 = 9.7%), and positively correlated with BCS (r = 0.317; r2 = 10%). LnEPG was negatively correlated with BCS (r = −0.232; r2 = 5.4%) and PCV (r = −0.255; r2 = 6.5%), but positively correlated with FAMACHA (r = 0.178; r2 = 3.2%) and DS (r = 0.086; r2 = 0.7%). Results from the models indicated that PCV and lnEPG residuals were negatively correlated with FAMACHA, FCS and almost all categories of BCS and DS, although the correlations were very low. The main results from this study suggested that none of the subjective clinical parameters evaluated were highly correlated with PCV or lnEPG and therefore were not good predictors of lnEPG or PCV on the studied farms in Ontario and Quebec. © 2014 Elsevier B.V. All rights reserved
650 $aOVINOS
653 $aNEMATODOS GASTROINTESTINALES
700 1 $aKELTON, D.
700 1 $aPEREGRINE, A.S.
700 1 $aVANLEEUWEN, J.
700 1 $aFERNÁNDEZ, S.
700 1 $aLEBOEUF, A.
700 1 $aMENZIES, P.
700 1 $aMARTIN, R.
773 $tVeterinary Parasitology, 2014$gv.205, p. 568?574.
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