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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
28/10/2024 |
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Actualizado : |
28/10/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PLOSCHUK, R. A.; MIRALLES, D. J.; KAVANOVÁ, M.; STRIKER, G. G. |
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Afiliación : |
ROCIO ANTONELLA PLOSCHUK, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; DANIEL JULIO MIRALLES, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; MONIKA KAVANOVÁ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GABRIEL STRIKER, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; Faculty of Science, School of Agriculture and Environment, The University of Western Australia, Crawley, WA, Australia. |
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Título : |
Identifying the numerical components affecting soybean (Glycine max) yield under waterlogging at reproductive stages. |
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Complemento del título : |
Original article. Flooding Stress / Waterlogging. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Journal of Agronomy and Crop Science, 2024, Volume 210, Issue 5, e12764. https://doi.org/10.1111/jac.12764 |
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ISSN : |
0931-2250; e-ISSN: 1439-037X |
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DOI : |
10.1111/jac.12764 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 May 2024, Revised 1 September 2024, Accepted 3 September 2024. -- Correspondence: Ploschuk, R.; Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; email:rploschuk@agro.uba.ar -- Funding: This work was supported by Universidad de Buenos Aires (UBACyT 20020220300073BA) and Agencia Nacional de Promoción de la Investigación, Desarrollo Tecnológico y la Innovación (Grant number ANPCyT PICT-PICT-2021-00056). -- |
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Contenido : |
ABSTRACT.- Waterlogging is a critical abiotic stress increasing in importance due to more intense, erratic rainfall associated with climate change. Waterlogging leads to significant yield losses in sensitive crops, such as soybean (Glycine max [L.] Merr.). Identifying soybean genotypes and traits associated with better waterlogging tolerance is of high interest. We assessed the response of six soybean genotypes, selected from a field screening of over 190 genotypes, to 10 days of waterlogging at the R1 (onset of flowering) and R4 (grain filling) stages. We evaluated yield and its components, as well as shoot and root dry weights (DW) at the end of the waterlogging treatments and at maturity, along with morphological traits such as plant branch number, stem diameter and plant height. By integrating all these traits, a waterlogging tolerance index (WTI) was calculated for each genotype to rank their sensitivity. The WTI showed variations among genotypes from 0.61 to 0.77, indicating genotypic variation in response to waterlogging. Greater reductions in root DW compared to shoot DW were observed immediately after waterlogging. By maturity, shoot DW of waterlogged plants was more severely reduced than root DW in all genotypes. Despite similar DW losses at R1 and R4 at physiological maturity, seed number per plant and 100-seed weight responses differed between the treatments. Genotypes that performed well under control conditions suffered significant yield reductions of 70%-85% after waterlogging, mainly due to fewer fertile nodes and seeds per pod, with some also experiencing a notable decrease in 100-seed weight. In contrast, other genotypes had milder responses, with less severe reductions in seed and pod traits. Identifying breeding soybean genotypes tolerant to waterlogging during reproductive stages that maintain the number of fertile nodes and pods per node without changes in seeds per pod could significantly mitigate yield losses from waterlogging. © 2024 Wiley-VCH GmbH. Published by John Wiley & Sons Ltd. MenosABSTRACT.- Waterlogging is a critical abiotic stress increasing in importance due to more intense, erratic rainfall associated with climate change. Waterlogging leads to significant yield losses in sensitive crops, such as soybean (Glycine max [L.] Merr.). Identifying soybean genotypes and traits associated with better waterlogging tolerance is of high interest. We assessed the response of six soybean genotypes, selected from a field screening of over 190 genotypes, to 10 days of waterlogging at the R1 (onset of flowering) and R4 (grain filling) stages. We evaluated yield and its components, as well as shoot and root dry weights (DW) at the end of the waterlogging treatments and at maturity, along with morphological traits such as plant branch number, stem diameter and plant height. By integrating all these traits, a waterlogging tolerance index (WTI) was calculated for each genotype to rank their sensitivity. The WTI showed variations among genotypes from 0.61 to 0.77, indicating genotypic variation in response to waterlogging. Greater reductions in root DW compared to shoot DW were observed immediately after waterlogging. By maturity, shoot DW of waterlogged plants was more severely reduced than root DW in all genotypes. Despite similar DW losses at R1 and R4 at physiological maturity, seed number per plant and 100-seed weight responses differed between the treatments. Genotypes that performed well under control conditions suffered significant yield reductions of 70%-85% a... Presentar Todo |
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Palabras claves : |
ÁREA DE MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA; Genotypic variability; Root biomass; Shoot biomass; Soybean; Waterlogging; Yield. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03448naa a2200277 a 4500
001 1064898
005 2024-10-28
008 2024 bl uuuu u00u1 u #d
022 $a0931-2250; e-ISSN: 1439-037X
024 7 $a10.1111/jac.12764$2DOI
100 1 $aPLOSCHUK, R. A.
245 $aIdentifying the numerical components affecting soybean (Glycine max) yield under waterlogging at reproductive stages.$h[electronic resource]
260 $c2024
500 $aArticle history: Received 30 May 2024, Revised 1 September 2024, Accepted 3 September 2024. -- Correspondence: Ploschuk, R.; Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; email:rploschuk@agro.uba.ar -- Funding: This work was supported by Universidad de Buenos Aires (UBACyT 20020220300073BA) and Agencia Nacional de Promoción de la Investigación, Desarrollo Tecnológico y la Innovación (Grant number ANPCyT PICT-PICT-2021-00056). --
520 $aABSTRACT.- Waterlogging is a critical abiotic stress increasing in importance due to more intense, erratic rainfall associated with climate change. Waterlogging leads to significant yield losses in sensitive crops, such as soybean (Glycine max [L.] Merr.). Identifying soybean genotypes and traits associated with better waterlogging tolerance is of high interest. We assessed the response of six soybean genotypes, selected from a field screening of over 190 genotypes, to 10 days of waterlogging at the R1 (onset of flowering) and R4 (grain filling) stages. We evaluated yield and its components, as well as shoot and root dry weights (DW) at the end of the waterlogging treatments and at maturity, along with morphological traits such as plant branch number, stem diameter and plant height. By integrating all these traits, a waterlogging tolerance index (WTI) was calculated for each genotype to rank their sensitivity. The WTI showed variations among genotypes from 0.61 to 0.77, indicating genotypic variation in response to waterlogging. Greater reductions in root DW compared to shoot DW were observed immediately after waterlogging. By maturity, shoot DW of waterlogged plants was more severely reduced than root DW in all genotypes. Despite similar DW losses at R1 and R4 at physiological maturity, seed number per plant and 100-seed weight responses differed between the treatments. Genotypes that performed well under control conditions suffered significant yield reductions of 70%-85% after waterlogging, mainly due to fewer fertile nodes and seeds per pod, with some also experiencing a notable decrease in 100-seed weight. In contrast, other genotypes had milder responses, with less severe reductions in seed and pod traits. Identifying breeding soybean genotypes tolerant to waterlogging during reproductive stages that maintain the number of fertile nodes and pods per node without changes in seeds per pod could significantly mitigate yield losses from waterlogging. © 2024 Wiley-VCH GmbH. Published by John Wiley & Sons Ltd.
653 $aÁREA DE MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA
653 $aGenotypic variability
653 $aRoot biomass
653 $aShoot biomass
653 $aSoybean
653 $aWaterlogging
653 $aYield
700 1 $aMIRALLES, D. J.
700 1 $aKAVANOVÁ, M.
700 1 $aSTRIKER, G. G.
773 $tJournal of Agronomy and Crop Science, 2024, Volume 210, Issue 5, e12764. https://doi.org/10.1111/jac.12764
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha actual : |
03/03/2017 |
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Actualizado : |
23/10/2019 |
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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 : |
NIELL, S.; JESÚS, F.; PÉREZ, N.; PÉREZ, C.; PAREJA, L.; ABATTE, S.; CARRASCO-LETELIER, L.; DIAZ, S.; MENDOZA, Y.; CESIO, V.; HEINZEN, H. |
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Afiliación : |
SILVINA NEILL, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); FLORENCIA JESÚS, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); NICOLÁS PÉREZ, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); CECILIA PÉREZ, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); LUCÍA PAREJA, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); SILVANA ABATTE, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIAN CARLO DIAZ CETTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YAMANDU MENDOZA SPINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VERÓNICA CESIO, Universidad de la República (UdelaR)/ Facultad de Química; Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); HORACIO HEINZEN, Universidad de la República (UdelaR)/ Centro Universitario Regional Noroeste, Salto (CENUR); Universidad de la República (UdelaR)/ Facultad de Química. |
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Título : |
Neonicotinoids transference from the field to the hive by honey bees: Towards a pesticide residues biomonitor |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Science of the Total Environment, 2017, v. 581-582, p. 25-31 |
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ISSN : |
0048-9697 |
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DOI : |
10.1016/j.scitotenv.2017.01.011 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 3 October 2016 / Received in revised form 14 December 2016 / Accepted 2 January 2017 / Available online xxxx |
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Contenido : |
ABSTRACT.
The beehive as a quantitative monitor of pesticide residues applied over a soybean crop was studied through a semi field experiment of controlled exposure of honey bees to pesticides in macro tunnels. The distribution within exposed beehives of pesticides commonly used in soybean plantation, was assessed. Residue levels of insecticides in soybean leaves, honey bees, wax, honey and pollen were analyzed. The transference from pesticides present in the environment into the beehive was evidenced. The obtained results allow relating pesticide concentrations present in the environment with traces found in foraging bees. Therefore, pesticide transference ratios could be calculated for each detected compound (acetamiprid, imidacloprid and thiamethoxam) which showed a linear inverse trend with their 1-octanol/water partition coefficient (Kow). The least transferred pesticide to the hive (acetamiprid) has the highest vapor pressure (Vp). This study gives new insights on the usefulness of monitoring the environment through beehives aiming to evaluate if agroecosystems remain sustainable. It also contributes to generate valuable information for model building aiming to predict environmental quality through beehive's analysis.
© 2017 Elsevier B.V. All rights reserved. |
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Palabras claves : |
ACETAMIPRID; BEEHIVE; IMIDACLOPRID; SOYBEAN CROP; THIAMETHOXAM. |
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Thesagro : |
APICULTURA; COLMENA; SOJA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02421naa a2200373 a 4500
001 1056606
005 2019-10-23
008 2017 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $a10.1016/j.scitotenv.2017.01.011$2DOI
100 1 $aNIELL, S.
245 $aNeonicotinoids transference from the field to the hive by honey bees$bTowards a pesticide residues biomonitor$h[electronic resource]
260 $c2017
500 $aArticle history: Received 3 October 2016 / Received in revised form 14 December 2016 / Accepted 2 January 2017 / Available online xxxx
520 $aABSTRACT. The beehive as a quantitative monitor of pesticide residues applied over a soybean crop was studied through a semi field experiment of controlled exposure of honey bees to pesticides in macro tunnels. The distribution within exposed beehives of pesticides commonly used in soybean plantation, was assessed. Residue levels of insecticides in soybean leaves, honey bees, wax, honey and pollen were analyzed. The transference from pesticides present in the environment into the beehive was evidenced. The obtained results allow relating pesticide concentrations present in the environment with traces found in foraging bees. Therefore, pesticide transference ratios could be calculated for each detected compound (acetamiprid, imidacloprid and thiamethoxam) which showed a linear inverse trend with their 1-octanol/water partition coefficient (Kow). The least transferred pesticide to the hive (acetamiprid) has the highest vapor pressure (Vp). This study gives new insights on the usefulness of monitoring the environment through beehives aiming to evaluate if agroecosystems remain sustainable. It also contributes to generate valuable information for model building aiming to predict environmental quality through beehive's analysis. © 2017 Elsevier B.V. All rights reserved.
650 $aAPICULTURA
650 $aCOLMENA
650 $aSOJA
653 $aACETAMIPRID
653 $aBEEHIVE
653 $aIMIDACLOPRID
653 $aSOYBEAN CROP
653 $aTHIAMETHOXAM
700 1 $aJESÚS, F.
700 1 $aPÉREZ, N.
700 1 $aPÉREZ, C.
700 1 $aPAREJA, L.
700 1 $aABATTE, S.
700 1 $aCARRASCO-LETELIER, L.
700 1 $aDIAZ, S.
700 1 $aMENDOZA, Y.
700 1 $aCESIO, V.
700 1 $aHEINZEN, H.
773 $tScience of the Total Environment, 2017$gv. 581-582, p. 25-31
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