Resultados totales (Incluyendo duplicados): 33842
Encontrada(s) 3385 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330604
Dataset. 2021

SJ-PDF-1-FST-10.1177_1082013220980586 - SUPPLEMENTAL MATERIAL FOR INULIN GELLED EMULSION AS A FAT REPLACER AND FIBER CARRIER IN HEALTHIER BOLOGNA SAUSAGE

  • Souza Paglarini, Camila de
  • Vidal, Vitor A. S.
  • Midori Ozaki, Maristela
  • Badan Ribeiro, Ana P.
  • Bernardinelli, Oigres D.
  • Ferreira Ignácio Câmara, Ana Karoline
  • Herrero, Ana M.
  • Ruiz-Capillas, C.
  • Sabadini, Edvaldo
  • Rodrigues Pollonio, Marise Aparecida
Supplemental material, sj-pdf-1-fst-10.1177_1082013220980586 for Inulin gelled emulsion as a fat replacer and fiber carrier in healthier Bologna sausage by Camila de Souza Paglarini, Vitor Andre Silva Vidal, Maristela Midori Ozaki, Ana Paula Badan Ribeiro, Oigres Daniel Bernardinelli, Ana Karoline Ferreira Ignácio Câmara, Ana M Herrero, Claudia Ruiz-Capillas, Edvaldo Sabadini and Marise Aparecida Rodrigues Pollonio in Food Science and Technology International., Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330604
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330604
HANDLE: http://hdl.handle.net/10261/330604
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330604
PMID: http://hdl.handle.net/10261/330604
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330604
Ver en: http://hdl.handle.net/10261/330604
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330604

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330609
Dataset. 2022

POLLINATOR RICHNESS, POLLINATION NETWORKS AND DIET ADJUSTMENT ALONG LOCAL AND LANDSCAPE GRADIENTS OF RESOURCE DIVERSITY [DATASET]

  • Gómez-Martínez, Carmelo
  • González-Estévez, Miguel A.
  • Cursach, Joana
  • Lázaro, Amparo
The file Gomez-Martinez_C_et_al_2022_EcoApps-DATA.xlsx contains all the data used in the analyses of: Carmelo Gómez-Martínez, Miguel A. González-Estévez, Joana Cursach and Amparo Lázaro. Pollinator richness, pollination networks and diet adjustment along local and landscape gradients of resource diversity. Ecological Applications. -- Sheet 1 - Overall Analyses & Net. Level: Contains all the variables used in the analyses of the relationships between flower richness and landscape heterogeneity with the overall wild pollinator abundance and richness, and with the network- and group-level metrics. -- Sheet 2 - Abun & Richness by Guild: Contains all the variables used in the analyses of the relationships between flower richness and landscape heterogeneity with the wild pollinator abundance and richness by pollinator guild. -- Sheet 3 – Actively Selected Interactions: Contains all the variables used in the analyses of the relationships between flower richness and landscape heterogeneity with the proportion of actively selected interactions. -- Sheet 4 – Species level metrics: Contains all the variables used in the analyses of the relationships between flower richness and landscape heterogeneity with the species level metrics (Functional dispersion, Species degree and Species specialization). -- More information in the Readme file., Loss of habitats and native species, introduction of invasive species, and changing climate regimes lead to the homogenization of landscapes and communities, affecting the availability of habitats and resources for economically important guilds, such as pollinators. Understanding how pollinators and their interactions vary along resource diversity gradients at different scales may help to determine their adaptability to current diversity loss related to global change. We used data on 20 plant-pollinator communities along gradients of flower richness (local diversity) and landscape heterogeneity (landscape diversity) to understand how the diversity of resources at local and landscape scales affected: (1) wild pollinator abundance and richness (accounting also for honeybee abundance); (2) the structure of plant-pollinator networks; (3) the proportion of actively selected interactions (those not occurring by neutral processes) and (4) pollinator diet breadth and species’ specialization in networks. Wild pollinator abundance was higher overall in flower-rich and heterogeneous habitats, while wild pollinator richness increased with flower richness (more strongly for beetles and wild bees) and decreased with honeybee abundance. Network specialization (H2’), modularity, and functional complementarity were all positively related to floral richness and landscape heterogeneity, indicating niche segregation as the diversity of resources increases at both scales. Flower richness also increased the proportion of actively selected interactions (especially for wild bees and flies), whereas landscape heterogeneity had a weak negative effect on this variable. Overall, network-level metrics responded to larger landscape scales than pollinator-level metrics did. Higher floral richness resulted in a wider taxonomic and functional diet for all the study guilds, while functional diet increased mainly for beetles. Despite this, specialization in networks (d’) increased with flower richness for all the study guilds, because pollinator species fed on a narrower subset of plants as communities became richer in species. Our study indicates that pollinators are able to adapt their diet to resource changes at local and landscape scales. However, resource homogenization might lead to poor and generalist pollinator communities, where functionally specialized interactions are lost. This study highlights the importance of including different scales to understand the effects of global change on pollination service through changes in resource diversity., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330609
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330609
HANDLE: http://hdl.handle.net/10261/330609
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330609
PMID: http://hdl.handle.net/10261/330609
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330609
Ver en: http://hdl.handle.net/10261/330609
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330609

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330611
Dataset. 2021

EFFECTS OF MORINGA OLEIFERA LEAVES ON GLYCEMIA, LIPEMIA AND INFLAMMATORY PROFILE IN PREDIABETIC PATIENTS (NUTRIMOL-DB)

  • Nova, Esther
The tree Moringa oleifera (MO) is a traditional medicinal plant in tropical and subtropical areas, also consumed as food, which is currently expanding worldwide as a protein-rich leafy vegetable and for the medicinal value of its phytochemicals, in particular its glucosinolates. Specifically, MO dry leaves and leaf extracts have been shown to exert numerous in vitro activities and in vivo effects, including the hypoglycemic effect. Thus, MO could be an alternative to prevent or treat diabetes. In this sense, in vitro and preclinical experiments have shown that MO could potentially reverse some of the pathophysiological manifestation of diabetes and its comorbidities, such as hepatic fat accumulation and insulin resistance, oxidative stress, inflammation and peripheral hyperglycemia. Studies in humans, however, are still limited. This proposal aims to study the efficacy of Moringa oleifera to improve the control of glycaemia in subjects with prediabetes. A 3-month dietary intervention with MO dry leave capsules will be performed and compared to placebo. This will be a double-blind, randomized, placebo controlled, parallel group intervention study. Subjects will randomly consume either 6 capsules of dry MO leaves (400 mg dry leaf powder /capsule) or 6 placebo capsules per day during 3 months. The study subjects will provide samples for outcome measurements at three different time points: basal, 6 weeks and 12 weeks of supplementation. Glycaemia and plasma inflammatory and metabolic markers will be measured, as well as the gut microbiota composition., Moringa oleifera (MO) is a traditional food in tropical and subtropical areas and has attained a growing interest for its medicinal properties. It's a nutrient-rich vegetable, high in protein and polyphenol content. The MO dry leaves and leaf extracts have been shown to exert numerous in vitro activities and in vivo effects, including the hypoglycemic effect. Thus, MO could be an alternative to prevent or treat diabetes. Studies in humans, however, are still limited. This proposal aims to study the efficacy of Moringa oleifera to improve the control of glycaemia in subjects with prediabetes. A 3-month dietary intervention with MO dry leave capsules will be performed and compared to placebo., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330611
HANDLE: http://hdl.handle.net/10261/330611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330611
PMID: http://hdl.handle.net/10261/330611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330611
Ver en: http://hdl.handle.net/10261/330611
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330611

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330612
Dataset. 2022

SUPPLEMENTARY MATERIALS: NEUROCOGNITIVE EFFECTS OF COCOA AND RED-BERRIES CONSUMPTION IN HEALTHY ADULTS

  • García-Cordero, Joaquín
  • Pino, Alicia
  • Cuevas, Constanza
  • Puertas-Martín, Veronica
  • San Román, Ricardo
  • Pascual-Teresa, Sonia de
Supplementary Table S1: Statistical results of the different neurocognitive test for each group and by visit., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330612
HANDLE: http://hdl.handle.net/10261/330612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330612
PMID: http://hdl.handle.net/10261/330612
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330612
Ver en: http://hdl.handle.net/10261/330612
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oai:digital.csic.es:10261/330612

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330613
Dataset. 2022

SUPPORTING INFORMATION OF THE ARTICLE POLLINATOR RICHNESS, POLLINATION NETWORKS, AND DIET ADJUSTMENT ALONG LOCAL AND LANDSCAPE GRADIENTS OF RESOURCE DIVERSITY

  • Gómez-Martínez, Carmelo
  • González-Estévez, Miguel A.
  • Cursach, Joana
  • Lázaro, Amparo
16 pages. -- Table S1. Study sites, their coordinates, diversity at the local (flower richness) and landscape (landscape heterogeneity) scales. -- Table S2. Sampling completeness for pollinator and plant species and their interactions at each study site. -- Table S3. Pollinator community at each study site. -- Table S4. Wild pollinator richness by guild at each study site. -- Table S5. Results of the GLM showing the relationships between flower richness and landscape heterogeneity and wild pollinator network metrics. -- Table S6. Correlations among the study network metrics and other metrics typically calculated in literature. -- Table S7. Functional traits of the plant species in the study sites. -- Table S8. Pollinator species included in the analyses of the breadth. -- Table S9. Akaike Information Criterion corrected for minimum sample sizes (AICc, Calcagno & de Mazancourt 2010) for best (italics) and alternative model ( ΔAIC < 2) of wild pollinator abundance. -- Table S10. Significance of network level metrics. -- Table S11. Results of the model showing the relationships between flower richness and landscape heterogeneity and wild pollinator richness by guild, with hoverflies and bee flies as separated groups from the rest of the flies. -- Fig. S1 Correlations among (A) the overall proportion of actively selected interactions (per study site) and raw values and z scores of functional complementarity; and (B) specialization (d’) of each pollinator guild per study site and the proportion of actively selected interactions. -- Fig. S2 Scatter plots for the relationships between landscape heterogeneity (landscape diversity) at different scales and flower richness (local diversity) or honeybee abundance. -- Fig. S3 Effect of local flower richness on wild pollinator richness by guild, with hoverflies and bee flies separated from the rest of the flies., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330613
HANDLE: http://hdl.handle.net/10261/330613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330613
PMID: http://hdl.handle.net/10261/330613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330613
Ver en: http://hdl.handle.net/10261/330613
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oai:digital.csic.es:10261/330613

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330614
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR AN EXPLORATORY CRITICAL REVIEW ON TNF-Α AS A POTENTIAL INFLAMMATORY BIOMARKER RESPONSIVE TO DIETARY INTERVENTION WITH BIOACTIVE FOODS AND DERIVED PRODUCTS

  • Quarta, Stefano
  • Massaro, Marika
  • Carluccio, Maria Annunziata
  • Calabriso, Nadia
  • Bravo, Laura
  • Sarriá, Beatriz
  • García-Conesa, María Teresa
Table S1. Reported differences in the circulatory levels of TNF-α between lean, overweight and obese individuals; Table S2. Reported changes in the circulatory levels of human TNF-α following dietary intervention with PUFAs-containing foods and products; Table S3. Reported changes in the circulatory levels of human TNF-α following dietary intervention with VitD supplements; Table S4. Reported changes in the circulatory levels of human TNF-α following dietary intervention with products containing mixed bioactive (micro)nutrients; Table S5. Reported changes in the circulatory levels of human TNF-α following dietary intervention with different products containing (poly)phenols and other phytochemicals; Table S6. Reported changes in the circulatory levels of human TNF-α following dietary intervention with foods rich in mixed bioactive phytochemicals, Table S7. Circulating levels of TNF-α across different genotypes for various SNPs located within the regulatory region of the TNFα gene; Table S8. Circulating levels of TNF-α across different genotypes for different SNPs located in various genes related to obesity, inflammatory and metabolic disorders; Table S9. Reported changes on the circulatory levels of human TNF-α following intervention with specific drugs in relation with obesity treatment., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330614
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330614
HANDLE: http://hdl.handle.net/10261/330614
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330614
PMID: http://hdl.handle.net/10261/330614
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/330614
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oai:digital.csic.es:10261/330614

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330615
Dataset. 2022

DATA FROM THE AGMIP-WHEAT HIGH-YIELDING TRAITS EXPERIMENT FOR MODELING POTENTIAL PRODUCTION OF WHEAT: FIELD EXPERIMENTS AND MULTI-MODEL SIMULATIONS

  • Guarín, José Rafael
  • Martre, Pierre
  • Ewert, Frank
  • Webber, Heidi
  • Dueri, Sibylle
  • Calderini, Daniel;
  • Reynolds, Matthew
  • Molero, Gemma
  • Miralles, Daniel
  • Garcia, Guillermo
  • Slafer, Gustavo
  • Giunta, Francesco
  • Pequeño, Diego N. L.
  • Stella, Tommaso
  • Ahmed, Mukhtar
  • Alderman, Phillip
  • Basso, Bruno
  • Berger, Andres G.
  • Bindi, Marco
  • Bracho-Mujica, Gennady
  • Cammarano, Davide
  • Chen, Yi
  • Dumont, Benjamin
  • Rezaei, Ehsan Eyshi
  • Fereres Castiel, Elías
  • Ferrise, Roberto
  • Gaiser, Thomas
  • Gao, Yujing
  • García Vila, Margarita
  • Gayler, Sebastian
  • Hochman, Zvi
  • Hoogenboom, Gerrit
  • Hunt, Leslie A.
  • Kersebaum, Kurt C.
  • Nendel, Claas
  • Olesen, Jørgen E.
  • Palosuo, Taru
  • Priesack, Eckart
  • Pullens, Johannes W.M.
  • Rodríguez, Alfredo
  • Rötter, Reimund P.
  • Ruiz Ramos, Margarita
  • Semenov, Mikhail A.
  • Senapati, Nimai
  • Siebert, Stefan
  • Srivastava, Amit Kumar
  • Stöckle, Claudio
  • Supit, Iwan
  • Tao, Fulu
  • Thorburn, Peter
  • Wang, Enli
  • Weber, Tobias Karl David
  • Xiao, Liujun
  • Zhang, Zhao
  • Zhao, Chuang
  • Zhao, Ji
  • Zhao, Zhigan
  • Zhao, Zhigan
  • Asseng, Senthold
Users may not request access to files., The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (Chile) with the spring wheat cultivar Bacanora and a high-yielding genotype selected from a doubled haploid (DH) population developed from the cross between the Bacanora and Weebil cultivars from the International Maize and Wheat Improvement Center (CIMMYT). This dataset was used in the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 to evaluate crop model performance when simulating high-yielding physiological traits and to determine the potential production of wheat using an ensemble of 29 wheat crop models. The field trials were managed for non-stress conditions with full irrigation, fertilizer application, and without biotic stress. Data include local daily weather, soil characteristics and initial soil conditions, cultivar information, and crop measurements (anthesis and maturity dates, total above-ground biomass, final grain yield, yield components, and photosynthetically active radiation interception). Simulations include both daily in-season and end-of-season results for 25 crop variables simulated by 29 wheat crop models. The R code and formatted data used for the statistical analyses are included. (2022-02-11)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330615
HANDLE: http://hdl.handle.net/10261/330615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330615
PMID: http://hdl.handle.net/10261/330615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330615
Ver en: http://hdl.handle.net/10261/330615
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oai:digital.csic.es:10261/330615

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330616
Dataset. 2022

DATASHEET_1_USING ARGO FLOATS TO CHARACTERIZE ALTIMETRY PRODUCTS: A STUDY OF EDDY-INDUCED SUBSURFACE OXYGEN ANOMALIES IN THE BLACK SEA.PDF

  • Capet, Arthur
  • Taburet, Guillaume
  • Mason, Evan
  • Pujol, Isabelle
  • Grégoire, Marilaure
  • Rio, Marie Hélène
1 page. -- 1 figure. -- Figure S1 illustrates the extraction of anomaly values out of BGC-Argo profile data, following the procedure described in Sect. 2.4 of the main manuscript., The identification of mesoscale eddies from remote sensing altimetry is often used as a first step for downstream analyses of surface or subsurface auxiliary data sets, in a so-called composite analysis framework. This framework aims at characterizing the mean perturbations induced by eddies on oceanic variables, by merging the local anomalies of multiple data instances according to their relative position to eddies. Here, we evaluate different altimetry data sets derived for the Black Sea and compare their adequacy to characterize subsurface oxygen and salinity signatures induced by cyclonic and anticyclonic eddies. In particular, we propose that the theoretical consistency and estimated error of the reconstructed mean anomaly may serve to qualify the accuracy of gridded altimetry products and that BGC-Argo data provide a strong asset in that regard. The most recent of these data sets, prepared with a coastal concern in the frame of the ESA EO4SIBS project, provides statistics of eddy properties that, in comparison with earlier products, are closer to model simulations, in particular for coastal anticyclones. More importantly, the subsurface signature of eddies reconstructed from BGC-Argo floats data is more consistent when the EO4SIBS data set is used to relocate the profiles into an eddy-centric coordinate system. Besides, we reveal intense subsurface oxygen anomalies which stress the importance of mesoscale contribution to Black Sea oxygen dynamics and support the hypothesis that this contribution extends beyond transport and involves net biogeochemical processes., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330616
HANDLE: http://hdl.handle.net/10261/330616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330616
PMID: http://hdl.handle.net/10261/330616
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330616
Ver en: http://hdl.handle.net/10261/330616
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oai:digital.csic.es:10261/330616

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330617
Dataset. 2022

SUPPLEMENTARY MATERIAL: FORMATION, CHARACTERIZATION, AND OCCURRENCE OF Β-CARBOLINE ALKALOIDS DERIVED FROM Α-DICARBONYL COMPOUNDS AND L -TRYPTOPHAN

  • Herraiz Tomico, Tomás
  • Peña, Adriana
  • Mateo, Haroll
  • Herraiz Carasa, Marta
  • Salgado, Antonio
Tables with signals and NMR spectra of compounds and the supplementary figures mentioned in the Results section., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330617
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oai:digital.csic.es:10261/330617
HANDLE: http://hdl.handle.net/10261/330617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330617
PMID: http://hdl.handle.net/10261/330617
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330617
Ver en: http://hdl.handle.net/10261/330617
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oai:digital.csic.es:10261/330617

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330620
Dataset. 2022

GENOMIC REGIONS ASSOCIATED WITH HERBICIDE TOLERANCE IN A WORLDWIDE FABA BEAN (VICIA FABA L.) COLLECTION [DATASET]

  • Abou-Khater, Lynn
  • Maalouf, Fouad
  • Jighly, Abdulqader
  • Alsamman, Alsamman M.
  • Rubiales, Diego
  • Rispail, Nicolas
  • Hu, Jinguo
  • Ma, Yu
  • Balech, Rind
  • Hamwieh, Aladdin
  • Baum, Michael
  • Kumar, Shiv
Supplementary Table S1. SNP-trait associations revealed by the ST-GWAS analysis. Underscored SNPs represents the highly significant associations, while SNPs in italic represents the SNPs associated with multiple traits. Supplementary Table S2. Gene annotation information of some of the highly significant NPSs-traits associations. Supplementary Table S3. Details of the traits recorded at each experiment; traits are coded as the environment, followed by the trait, the treatment and “RI” if the number describe a reduction index. Supplementary Table S4. Description of the damages observed in the treated plants for each herbicide damage score (HDS)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330620
HANDLE: http://hdl.handle.net/10261/330620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330620
PMID: http://hdl.handle.net/10261/330620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330620
Ver en: http://hdl.handle.net/10261/330620
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oai:digital.csic.es:10261/330620

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