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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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| 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 : |
21/02/2014 |
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Actualizado : |
08/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
COZZOLINO, D.; MURRAY, I. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SAC Aberdeen, Animal Biology Division, Craibstone Estate, Aberdeen AB21 9YA. UK. |
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Título : |
Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 1, Pages 37-44. |
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DOI : |
10.1255/jnirs.319 |
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Idioma : |
Inglés |
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Notas : |
Article history: Issue published: January 1, 2002/Received: April 05, 2001; Accepted: October 02, 2001/ Revisions received: July 06, 2001. |
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Contenido : |
Abstract.
The useful wavelengths in both the visible and the near infrared region as well as two sample presentations (intact and minced) were evaluated to assess moisture (M), crude protein (CP) and intra muscular fat (IMF) in lamb (n = 300), beef (n = 100) and chicken (n = 48) muscle samples. Samples were scanned in reflectance in a NIRSystems 6500 (NIRSystems, Silver Spring, MD, USA). Predictive equations were performed using modified partial least squares (MPLS) with internal cross-validation. The coefficient of determination in calibration (R2CAL) and the standard error in cross-validation (SECV) were calculated for each chemical parameter. For moisture, crude protein and fat (each expressed as g kg?1), R2CAL and SECV for beef muscle were 0.98, 0.81 and 0.96, respectively, and SECV was 33.1, 21.8 and 44.8 for beef muscle; for chicken muscle the comparable statistics were 0.99, 0.97 and 0.95 and SECV was 6.9, 2.4 and 33.1; while for lamb muscle R2CAL was 0.76, 0.83 and 0.73 and SECV 10.3, 5.5 and 4.7. It was concluded that the minced presentation is the best way to analyse muscle samples. On the other hand, intact presentation could have a great potential for use in the meat industry, although more research will be needed in order to determine quality attributes on meat samples. |
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Palabras claves : |
BEEF; CHICKEN; INTRA MUSCULAR FAT; MOISTURE; MUSCLES; NEAR INFRARED REFLECTANCE; PROTEIN; SHEEP. |
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Thesagro : |
ESPECTROSCOPIA INFRARROJA; GANADO DE CARNE; NIRS; OVEJA; POLLO. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02326naa a2200313 a 4500
001 1049362
005 2019-10-08
008 2002 bl uuuu u00u1 u #d
024 7 $a10.1255/jnirs.319$2DOI
100 1 $aCOZZOLINO, D.
245 $aEffect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy.$h[electronic resource]
260 $c2002
500 $aArticle history: Issue published: January 1, 2002/Received: April 05, 2001; Accepted: October 02, 2001/ Revisions received: July 06, 2001.
520 $aAbstract. The useful wavelengths in both the visible and the near infrared region as well as two sample presentations (intact and minced) were evaluated to assess moisture (M), crude protein (CP) and intra muscular fat (IMF) in lamb (n = 300), beef (n = 100) and chicken (n = 48) muscle samples. Samples were scanned in reflectance in a NIRSystems 6500 (NIRSystems, Silver Spring, MD, USA). Predictive equations were performed using modified partial least squares (MPLS) with internal cross-validation. The coefficient of determination in calibration (R2CAL) and the standard error in cross-validation (SECV) were calculated for each chemical parameter. For moisture, crude protein and fat (each expressed as g kg?1), R2CAL and SECV for beef muscle were 0.98, 0.81 and 0.96, respectively, and SECV was 33.1, 21.8 and 44.8 for beef muscle; for chicken muscle the comparable statistics were 0.99, 0.97 and 0.95 and SECV was 6.9, 2.4 and 33.1; while for lamb muscle R2CAL was 0.76, 0.83 and 0.73 and SECV 10.3, 5.5 and 4.7. It was concluded that the minced presentation is the best way to analyse muscle samples. On the other hand, intact presentation could have a great potential for use in the meat industry, although more research will be needed in order to determine quality attributes on meat samples.
650 $aESPECTROSCOPIA INFRARROJA
650 $aGANADO DE CARNE
650 $aNIRS
650 $aOVEJA
650 $aPOLLO
653 $aBEEF
653 $aCHICKEN
653 $aINTRA MUSCULAR FAT
653 $aMOISTURE
653 $aMUSCLES
653 $aNEAR INFRARED REFLECTANCE
653 $aPROTEIN
653 $aSHEEP
700 1 $aMURRAY, I.
773 $tJournal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 1, Pages 37-44.
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