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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
18/04/2022 |
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Actualizado : |
18/04/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BLANCO, L. J.; PARUELO, J.; OESTERHELD, M.; AGÜERO, W. D. |
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Afiliación : |
LISANDRO JAVIER BLANCO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; MARTÍN OESTERHELD, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; WALTER DAMIÁN AGÜERO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina. |
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Título : |
Radiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands: spatial and temporal patterns. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Applied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653 |
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DOI : |
10.1111/avsc.12653 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022.
Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar |
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Contenido : |
Aims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively.
Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems. MenosAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and ... Presentar Todo |
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Palabras claves : |
ARGENTINA; ARIDITY; CHACO; GRASS FORAGE; GRAZING; NDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA); PRIMARY PRODUCTION; REMOTE SENSING; SATELLITE MONITORING; WOODY ECOSYSTEM. |
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Asunto categoría : |
F62 Fisiología de la planta - Crecimiento y desarrollo |
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Marc : |
LEADER 03209naa a2200301 a 4500
001 1063053
005 2022-04-18
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1111/avsc.12653$2DOI
100 1 $aBLANCO, L. J.
245 $aRadiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands$bspatial and temporal patterns.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022. Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar
520 $aAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation variables. Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations. Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively. Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems.
653 $aARGENTINA
653 $aARIDITY
653 $aCHACO
653 $aGRASS FORAGE
653 $aGRAZING
653 $aNDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA)
653 $aPRIMARY PRODUCTION
653 $aREMOTE SENSING
653 $aSATELLITE MONITORING
653 $aWOODY ECOSYSTEM
700 1 $aPARUELO, J.
700 1 $aOESTERHELD, M.
700 1 $aAGÜERO, W. D.
773 $tApplied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653
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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 : |
02/04/2020 |
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Actualizado : |
24/02/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
JOHANSSON, E.; BRANLARD, G.; CUNIBERTI, M.; FLAGELLA, Z.; HÜSKEN, A.; NURIT, E.; PEÑA, R.J.; SISSONS, M.; VÁZQUEZ, D. |
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Afiliación : |
EVA JOHANSSON, Department of Plant BreedingThe Swedish University of Agricultural Sciences, Alnarp,Sweden.; GÉRARD BRANLARD, INRAE, UCA UMR1095 GDEC Clermont-Ferrand, France.; MARTA CUNIBERTI, Wheat and Soybean Quality Lab, National Institute of Agriculture Technology (INTA). Marcos Juárez, órdoba,Argentina.; ZINA FLAGELLA, Department of Agricultural, Food and Environmental SciencesUniversity of Foggia, Foggia, Italy.; ALEXANDRA HÜSKEN, Department of Safety and Quality of CerealsMax Rubner-Institut, Federal Research Institute of Nutrition and Food Detmold, Germany.; ERIC NURIT, Mazan,France.; ROBERTO JAVIER PEÑA, International Maize and Wheat Improvement Center (CIMMYT)Texcoco, Mexico.; MIKE SISSONS, NSW Department of Primary IndustriesTamworth Centre for Crop Improvement Calala,Australia.; DANIEL VÁZQUEZ PEYRONEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Genotypic and Environmental Effects on Wheat Technological and Nutritional Quality. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
In: Igrejas G., Ikeda T., Guzmán C. (eds). Wheat Quality For Improving Processing And Human Health. Cham:Springer. Doi: https://doi.org/10.1007/978-3-030-34163-3_8 |
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Páginas : |
p. 171-204. |
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ISBN : |
978-3-030-34163-3 (eBook) |
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DOI : |
10.1007/978-3-030-34163-3_8 |
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Idioma : |
Inglés |
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Notas : |
Article histotory: First Online: 18 March 2020. |
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Contenido : |
Abstract:
Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determining the technological quality of a wheat flour. For nutritional quality of the flour, the majority of the compounds are together the important determinant. Thus an increased understanding of environmental effects is essential. As to how the environment is influencing the content of the compounds, there are some differences. The protein content and composition is strongly affected by environmental factors influencing nitrogen availability and cultivar development time. However, these two factors are impacted by a range of environmental (temperature, precipitation, humidity/sun hours, etc.) and agronomic (soil properties, crop management practices such as seeding density, nitrogen fertilizer application timing and amount, etc.) components. Thus, to understand the interplay between the various environmental and agronomic factors impacting the technological quality of a wheat flour, modeling is a useful tool. Several other compounds, including minerals and heavy metals, are to a higher extent determined by site specific variation, resulting in similar rankings of entries across locations, although the total content is varying among years. The bioactive compounds and vitamins are a part of the defense mechanisms of plants and thus there is a variation in these compounds depending on prevailing biotic and abiotic stresses (heat, drought, excess rainfall, nutrition, diseases and pests). Thus, even for nutritional quality of wheat, incorporating all compounds of relevance in the evaluation would benefit from modeling tools. MenosAbstract:
Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determini... Presentar Todo |
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Palabras claves : |
BIOACTIVE COMPOUNDS; CULTIVAR X ENVIRONMENTAL; END-USE QUALITY; GENOTIPO X AMBIENTE; INTERACTIONS; MINERALS; PLATAFORMA AGROALIMENTOS; PROCESSING; PROTEINS; WHEAT. |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 04237naa a2200385 a 4500
001 1060979
005 2022-02-24
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/978-3-030-34163-3_8$2DOI
100 1 $aJOHANSSON, E.
245 $aGenotypic and Environmental Effects on Wheat Technological and Nutritional Quality.$h[electronic resource]
260 $c2020
300 $ap. 171-204.
500 $aArticle histotory: First Online: 18 March 2020.
520 $aAbstract: Technological (processing performance and end-product) and nutritional quality of wheat is in principle determined by a number of compounds within the wheat grain, including proteins, polysaccharides, lipids, minerals, heavy metals, vitamins and phytochemicals, effecting these characters. The genotype and environment is of similar importance for the determination of the content and composition of these compounds. Furthermore, the interaction between genotypes and the cultivation environment may play a significant role. Many studies have evaluated whether the genotype or the environment plays the major role in determining the content of the mentioned compounds. An overall conclusion of these studies is that except for compounds encoded by single major genes, importance of certain factors mainly depend on how wide environments and how diverse cultivars are within these comparative studies. Comparing environments all over, e.g. across Latin America, ends up with a high significance of the environment while large studies including genotypes of wide genetic background result in a significant role for the genotype. In addition, for some technological properties and components, genotype has a higher effect (e.g. grain hardness and gluten proteins), while environment influences stronger on others (e.g. protein and mineral content).Content and concentration of proteins, but also to some extent of starch, some non-starch polysaccharides and lipids, are essential in determining the technological quality of a wheat flour. For nutritional quality of the flour, the majority of the compounds are together the important determinant. Thus an increased understanding of environmental effects is essential. As to how the environment is influencing the content of the compounds, there are some differences. The protein content and composition is strongly affected by environmental factors influencing nitrogen availability and cultivar development time. However, these two factors are impacted by a range of environmental (temperature, precipitation, humidity/sun hours, etc.) and agronomic (soil properties, crop management practices such as seeding density, nitrogen fertilizer application timing and amount, etc.) components. Thus, to understand the interplay between the various environmental and agronomic factors impacting the technological quality of a wheat flour, modeling is a useful tool. Several other compounds, including minerals and heavy metals, are to a higher extent determined by site specific variation, resulting in similar rankings of entries across locations, although the total content is varying among years. The bioactive compounds and vitamins are a part of the defense mechanisms of plants and thus there is a variation in these compounds depending on prevailing biotic and abiotic stresses (heat, drought, excess rainfall, nutrition, diseases and pests). Thus, even for nutritional quality of wheat, incorporating all compounds of relevance in the evaluation would benefit from modeling tools.
650 $aTRIGO
653 $aBIOACTIVE COMPOUNDS
653 $aCULTIVAR X ENVIRONMENTAL
653 $aEND-USE QUALITY
653 $aGENOTIPO X AMBIENTE
653 $aINTERACTIONS
653 $aMINERALS
653 $aPLATAFORMA AGROALIMENTOS
653 $aPROCESSING
653 $aPROTEINS
653 $aWHEAT
700 1 $aBRANLARD, G.
700 1 $aCUNIBERTI, M.
700 1 $aFLAGELLA, Z.
700 1 $aHÜSKEN, A.
700 1 $aNURIT, E.
700 1 $aPEÑA, R.J.
700 1 $aSISSONS, M.
700 1 $aVÁZQUEZ, D.
773 $tIn: Igrejas G., Ikeda T., Guzmán C. (eds). Wheat Quality For Improving Processing And Human Health. Cham:Springer. Doi: https://doi.org/10.1007/978-3-030-34163-3_8
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