cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6572009
title: Phenotypic variation and quantitative trait loci for resistance to southern anthracnose and clover rot in red clover

description: Red clover (<em>Trifolium pratense</em> L.) is an important forage legume of temperate regions, particularly valued for its high yield potential and its high forage quality. Despite substantial breeding progress during the last decades, continuous improvement of cultivars is crucial to ensure yield stability in view of newly emerging diseases or changing climatic conditions. The high amount of genetic diversity present in red clover ecotypes, landraces and cultivars provides an invaluable, but often unexploited resource for the improvement of key traits such as yield, quality, and resistance to biotic and abiotic stresses. A collection of 397 red clover accessions was genotyped using a pooled genotyping-by-sequencing approach with 200 plants per accession. Resistance to the two most pertinent diseases in red clover production, southern anthracnose caused by <em>Colletotrichum trifolii</em>, and clover rot caused by <em>Sclerotinia trifoliorum, </em>was assessed using spray inoculation. The mean survival rate for southern anthracnose was 22.9% and the mean resistance index for clover rot was 34.0%. Genome-wide association analysis revealed several loci significantly associated with resistance to southern anthracnose and clover rot. Most of these loci are in coding regions. One quantitative trait locus (QTL) on chromosome 1 explained 16.8% of the variation in resistance to southern anthracnose. For clover rot resistance we found eight QTL, explaining together 80.2% of the total phenotypic variation. The SNPs associated with these QTL provide, once validated, a promising resource for marker-assisted selection in existing breeding programs, facilitating the development of novel cultivars with increased resistance against two devastating fungal diseases of red clover.
description: This dataset accompanies the article with the same title made available on bioRxiv (https://doi.org/10.1101/2022.05.23.493028). Version 1.1 contains updated versions of some r scripts (GWAS_BLUEs.r, supl.Figures.rmd, FilteringMeanImputing.r).
DOI: 10.5281/zenodo.6572010
title: Phenotypic variation and quantitative trait loci for resistance to southern anthracnose and clover rot in red clover

description: Red clover (<em>Trifolium pratense</em> L.) is an important forage legume of temperate regions, particularly valued for its high yield potential and its high forage quality. Despite substantial breeding progress during the last decades, continuous improvement of cultivars is crucial to ensure yield stability in view of newly emerging diseases or changing climatic conditions. The high amount of genetic diversity present in red clover ecotypes, landraces and cultivars provides an invaluable, but often unexploited resource for the improvement of key traits such as yield, quality, and resistance to biotic and abiotic stresses. A collection of 397 red clover accessions was genotyped using a pooled genotyping-by-sequencing approach with 200 plants per accession. Resistance to the two most pertinent diseases in red clover production, southern anthracnose caused by <em>Colletotrichum trifolii</em>, and clover rot caused by <em>Sclerotinia trifoliorum, </em>was assessed using spray inoculation. The mean survival rate for southern anthracnose was 22.9% and the mean resistance index for clover rot was 34.0%. Genome-wide association analysis revealed several loci significantly associated with resistance to southern anthracnose and clover rot. Most of these loci are in coding regions. One quantitative trait locus (QTL) on chromosome 1 explained 16.8% of the variation in resistance to southern anthracnose. For clover rot resistance we found eight QTL, explaining together 80.2% of the total phenotypic variation. The SNPs associated with these QTL provide, once validated, a promising resource for marker-assisted selection in existing breeding programs, facilitating the development of novel cultivars with increased resistance against two devastating fungal diseases of red clover.
description: This dataset accompanies the article with the same title made available on bioRxiv (https://doi.org/10.1101/2022.05.23.493028)
DOI: 10.5281/zenodo.7034131
title: Phenotypic variation and quantitative trait loci for resistance to southern anthracnose and clover rot in red clover

description: Red clover (<em>Trifolium pratense</em> L.) is an important forage legume of temperate regions, particularly valued for its high yield potential and its high forage quality. Despite substantial breeding progress during the last decades, continuous improvement of cultivars is crucial to ensure yield stability in view of newly emerging diseases or changing climatic conditions. The high amount of genetic diversity present in red clover ecotypes, landraces and cultivars provides an invaluable, but often unexploited resource for the improvement of key traits such as yield, quality, and resistance to biotic and abiotic stresses. A collection of 397 red clover accessions was genotyped using a pooled genotyping-by-sequencing approach with 200 plants per accession. Resistance to the two most pertinent diseases in red clover production, southern anthracnose caused by <em>Colletotrichum trifolii</em>, and clover rot caused by <em>Sclerotinia trifoliorum, </em>was assessed using spray inoculation. The mean survival rate for southern anthracnose was 22.9% and the mean resistance index for clover rot was 34.0%. Genome-wide association analysis revealed several loci significantly associated with resistance to southern anthracnose and clover rot. Most of these loci are in coding regions. One quantitative trait locus (QTL) on chromosome 1 explained 16.8% of the variation in resistance to southern anthracnose. For clover rot resistance we found eight QTL, explaining together 80.2% of the total phenotypic variation. The SNPs associated with these QTL provide, once validated, a promising resource for marker-assisted selection in existing breeding programs, facilitating the development of novel cultivars with increased resistance against two devastating fungal diseases of red clover.
description: This dataset accompanies the article with the same title made available on bioRxiv (https://doi.org/10.1101/2022.05.23.493028). Version 1.1 contains updated versions of some r scripts (GWAS_BLUEs.r, supl.Figures.rmd, FilteringMeanImputing.r).
DOI: 10.6084/m9.figshare.20729134
title: Modelling intermittence and river flow in the semi-arid region of Brazil: The Umbuzeiro River, Ceará

description: ABSTRACT Research shows an increase in the intermittence of rivers of different spatial scales. Exploring intermittence in semi-arid regions, also characterised by a scarcity of data, is important for understanding the process on a global scale. The aim of this study, therefore, was to evaluate the ability of a physically based hydrological model (WASA) to simulate simultaneously the intermittence and flow of the Umbuzeiro River, whose basin is located in Aiuaba, Ceará. The analysis was carried out in three nested basins: the Benguê Reservoir (933 km2), the Aroeira Reservoir (800 km2) and the Aiuaba Experimental Basin (AEB, 12 km2). Eleven simulations were carried out, altering various parameters (saturated hydraulic conductivity of the soil on the slopes and on the riverbed, hydraulic conductivity of the crystalline basement, depth of the riverbed, and the rainfall intensity parameter of the model). The model better represented the larger basins (103 km2) compared to the smaller scale basin (101 km2). The simulations showed a marked improvement once the hydraulic conductivity of the soils as measured in situ had been applied, confirming the physical basis of the model. The most sensitive parameter for the generation of flow was the saturated hydraulic conductivity of the soil. This can be explained by the prevalence of Hortonian flow in the basin. It was concluded that none of the parameterisations was successful in simultaneously representing the two processes (intermittence and flow) on the scales of the three basins.
DOI: 10.6084/m9.figshare.20729134.v1
title: Modelling intermittence and river flow in the semi-arid region of Brazil: The Umbuzeiro River, Ceará

description: ABSTRACT Research shows an increase in the intermittence of rivers of different spatial scales. Exploring intermittence in semi-arid regions, also characterised by a scarcity of data, is important for understanding the process on a global scale. The aim of this study, therefore, was to evaluate the ability of a physically based hydrological model (WASA) to simulate simultaneously the intermittence and flow of the Umbuzeiro River, whose basin is located in Aiuaba, Ceará. The analysis was carried out in three nested basins: the Benguê Reservoir (933 km2), the Aroeira Reservoir (800 km2) and the Aiuaba Experimental Basin (AEB, 12 km2). Eleven simulations were carried out, altering various parameters (saturated hydraulic conductivity of the soil on the slopes and on the riverbed, hydraulic conductivity of the crystalline basement, depth of the riverbed, and the rainfall intensity parameter of the model). The model better represented the larger basins (103 km2) compared to the smaller scale basin (101 km2). The simulations showed a marked improvement once the hydraulic conductivity of the soils as measured in situ had been applied, confirming the physical basis of the model. The most sensitive parameter for the generation of flow was the saturated hydraulic conductivity of the soil. This can be explained by the prevalence of Hortonian flow in the basin. It was concluded that none of the parameterisations was successful in simultaneously representing the two processes (intermittence and flow) on the scales of the three basins.
DOI: 10.6084/m9.figshare.20551513
title: Informative prior distribution applied to linseed for the estimation of genetic parameters using a small sample size

description: Abstract The objective of this work was to evaluate a procedure for the elicitation of informative prior distribution, compared with non-informative prior distribution, in a small sample size, using 14 traits of three linseed (Linum usitatissimum) genotypes in seven sowing seasons. The values of the hyperparameters regulate the informativeness of the prior distribution; therefore, for each season, the hyperparameters to be used in the next season were calculated. The two prior distributions, non-informative and informative, were compared by the length of the credible interval and variance of the posterior distribution. In general, when the informative prior distribution is adopted, the genetic parameters present a shorter length of the credible interval and more precise estimates. The mechanism for informative prior elicitation using previous information from breeding programs is efficient for the estimation of genetic parameters, including heritability and genetic variance, even when the sample size is small. In genetic evaluation, the use of informative prior distribution is better than that of non-informative distribution for a small sample size. In general, the results of the informative prior distributions are indicative that the genetic values of the first sowing season are greater for the following traits: cycle length, plant height, and number of non-grained capsules and of productive branches.
DOI: 10.6084/m9.figshare.20551513.v1
title: Informative prior distribution applied to linseed for the estimation of genetic parameters using a small sample size

description: Abstract The objective of this work was to evaluate a procedure for the elicitation of informative prior distribution, compared with non-informative prior distribution, in a small sample size, using 14 traits of three linseed (Linum usitatissimum) genotypes in seven sowing seasons. The values of the hyperparameters regulate the informativeness of the prior distribution; therefore, for each season, the hyperparameters to be used in the next season were calculated. The two prior distributions, non-informative and informative, were compared by the length of the credible interval and variance of the posterior distribution. In general, when the informative prior distribution is adopted, the genetic parameters present a shorter length of the credible interval and more precise estimates. The mechanism for informative prior elicitation using previous information from breeding programs is efficient for the estimation of genetic parameters, including heritability and genetic variance, even when the sample size is small. In genetic evaluation, the use of informative prior distribution is better than that of non-informative distribution for a small sample size. In general, the results of the informative prior distributions are indicative that the genetic values of the first sowing season are greater for the following traits: cycle length, plant height, and number of non-grained capsules and of productive branches.
DOI: 10.6084/m9.figshare.20729143
title: Limits and possibilities for the development of public health research in the legal system

description: ABSTRACT OBJECTIVE To characterize databases of the courts of justice of Brazil as a potential tool for research in Collective Health, in its interface with the legal sciences. METHODS Cross-sectional study of quantitative and descriptive nature, focusing on analysis of strategic management and judicial systems. RESULTS Databases used by the Common Justice in the Federation Units to systematize judicial processes were identified and analyzed. A total of 123 databases were found in the courts of justice per state, with emphasis on the South and Northeast regions, in contrast to the North region, which has a smaller number of systems. This large number of judicial systems limits access to legal operators, and hinders the collection of evidence by health researchers and, consequently, impacts the strategic management of the Executive Branch. There were limitations from design to transparent and democratic data extraction by the users themselves, as well as restricted integration between bases. CONCLUSIONS Although advances have been made in recent years by the courts of justice to unify these databases, the multiplicity of information systems used in the Common State Justice complicates the management of knowledge, limits the development of research, even when carried out by lawyers or researchers in the legal area, as well as generates slow data extraction for public management. It is recognized the need for additional efforts for standardization, as well as for improvement of these databases, expanding access, transparency and integration with a view to a transdisciplinary look between the field of Law and Collective Health.
DOI: 10.6084/m9.figshare.20729143.v1
title: Limits and possibilities for the development of public health research in the legal system

description: ABSTRACT OBJECTIVE To characterize databases of the courts of justice of Brazil as a potential tool for research in Collective Health, in its interface with the legal sciences. METHODS Cross-sectional study of quantitative and descriptive nature, focusing on analysis of strategic management and judicial systems. RESULTS Databases used by the Common Justice in the Federation Units to systematize judicial processes were identified and analyzed. A total of 123 databases were found in the courts of justice per state, with emphasis on the South and Northeast regions, in contrast to the North region, which has a smaller number of systems. This large number of judicial systems limits access to legal operators, and hinders the collection of evidence by health researchers and, consequently, impacts the strategic management of the Executive Branch. There were limitations from design to transparent and democratic data extraction by the users themselves, as well as restricted integration between bases. CONCLUSIONS Although advances have been made in recent years by the courts of justice to unify these databases, the multiplicity of information systems used in the Common State Justice complicates the management of knowledge, limits the development of research, even when carried out by lawyers or researchers in the legal area, as well as generates slow data extraction for public management. It is recognized the need for additional efforts for standardization, as well as for improvement of these databases, expanding access, transparency and integration with a view to a transdisciplinary look between the field of Law and Collective Health.
DOI: 10.6084/m9.figshare.20729152
title: An efficient finite element model for dynamic analysis of gravity dam-reservoir-foundation interaction problems

description: Abstract In this paper, a finite element (FE)-based model that efficiently evaluates the dynamic behavior of dam-reservoir-foundation interaction (DRFI) problem was proposed including the radiation of waves to the unbounded rock and reservoir domains. Lagrangian fluid elements were used to discretize the near-field reservoir domain, while the presented infinite fluid elements were used to discretize the far-field reservoir domain. The fully coupled equation of motion for DRFI problem was solved by direct method. A two-dimensional (2D) plane-strain FE formulation of the problem is written in FORTRAN 90 programming language. Investigations were conducted on the effect of near-field domain size (length and depth) on the dynamic behavior of DRFI, dam-foundation interaction (DFI), and dam-reservoir interaction (DRI) problems. The results of this study demonstrate that the proposed model outperforms many other models that have been evolved in the literature in terms of accuracy and speed. The reflected hydrodynamic pressures at the far-field reservoir domain were efficiently absorbed by the suggested infinite fluid elements. The near-field domains size has a noticeable impact on the dynamic behavior of the dam. Making an exact choice about the size is more challenging. However, it was observed that the size of 1.5H is the physically appropriate response.
DOI: 10.6084/m9.figshare.20729152.v1
title: An efficient finite element model for dynamic analysis of gravity dam-reservoir-foundation interaction problems

description: Abstract In this paper, a finite element (FE)-based model that efficiently evaluates the dynamic behavior of dam-reservoir-foundation interaction (DRFI) problem was proposed including the radiation of waves to the unbounded rock and reservoir domains. Lagrangian fluid elements were used to discretize the near-field reservoir domain, while the presented infinite fluid elements were used to discretize the far-field reservoir domain. The fully coupled equation of motion for DRFI problem was solved by direct method. A two-dimensional (2D) plane-strain FE formulation of the problem is written in FORTRAN 90 programming language. Investigations were conducted on the effect of near-field domain size (length and depth) on the dynamic behavior of DRFI, dam-foundation interaction (DFI), and dam-reservoir interaction (DRI) problems. The results of this study demonstrate that the proposed model outperforms many other models that have been evolved in the literature in terms of accuracy and speed. The reflected hydrodynamic pressures at the far-field reservoir domain were efficiently absorbed by the suggested infinite fluid elements. The near-field domains size has a noticeable impact on the dynamic behavior of the dam. Making an exact choice about the size is more challenging. However, it was observed that the size of 1.5H is the physically appropriate response.
DOI: 10.6084/m9.figshare.20729157
title: RESEARCH FROM THE CLASSROOM: RESEARCH SEEDBEDS IN COLOMBIAN SECONDARY EDUCATION

description: ABSTRACT This document presents the educational research model from the classroom implemented at the Colegio Gimnasio Campestre El Rodadero, in the city of Santa Marta, Colombia. This model consisted of creating a research seedbed integrating middle school students, with the aim of generating academic spaces that would allow the development of investigative skills from the area of humanities, according to the guidelines that the national Ministry of Education proposes. For this, the anthropological theory of the didactic was implemented, understanding education as a social process of cultural transmission. Methodologically, school ethnography and action research were applied. The results, for this case, show that the creation of seedbeds strengthens the investigative competences in the students through collective work, encouraging them to be interested in science and research, in contrast to the formalist and unilinear methodologies traditionally used.
DOI: 10.6084/m9.figshare.20729157.v1
title: RESEARCH FROM THE CLASSROOM: RESEARCH SEEDBEDS IN COLOMBIAN SECONDARY EDUCATION

description: ABSTRACT This document presents the educational research model from the classroom implemented at the Colegio Gimnasio Campestre El Rodadero, in the city of Santa Marta, Colombia. This model consisted of creating a research seedbed integrating middle school students, with the aim of generating academic spaces that would allow the development of investigative skills from the area of humanities, according to the guidelines that the national Ministry of Education proposes. For this, the anthropological theory of the didactic was implemented, understanding education as a social process of cultural transmission. Methodologically, school ethnography and action research were applied. The results, for this case, show that the creation of seedbeds strengthens the investigative competences in the students through collective work, encouraging them to be interested in science and research, in contrast to the formalist and unilinear methodologies traditionally used.
DOI: 10.6084/m9.figshare.20729164
title: Instrument for measuring home cooking skills in primary health care

description: ABSTRACT OBJECTIVE To develop and validate an instrument for measuring the home cooking skills of health professionals involved with guidelines for promoting adequate and healthy food in primary health care. METHODS This is a methodological study with a psychometric approach, carried out in the city of São Paulo between January and November 2020, to develop and validate a self-applied online instrument. The data of the 472 participants were presented by descriptive statistics. Content validation was performed by expert judgment using the two round Delphi technique and empirical statistics for consensus evidence. Exploratory factor analysis was used for construct validation and reliability analysis, and the model adjustment rates and composite reliability were analyzed. RESULTS The instrument presented satisfactory content validity for CVRc indices and �� in the two rounds of the Delphi technique. After the factor analysis, the final model of the Primary Health Care Home Cooking Skills Scale presented 29 items with adequate factorial loads (&gt; 0.3). Bartlett’s and Kaiser-Meyer-Olkin’s (KMO) tests of sphericity performed in exploratory factorial analysis suggested interpretability in the correlation matrix, the parallel analysis indicated four domains and explained variance of 64.1%. The composite reliability of the factors was adequate (&gt; 0.70) and the H-index suggested replicable factors in future studies. All adjustment rates proved to be adequate. CONCLUSIONS The Primary Health Care Home Cooking Skills Scale presented evidence of validity and reliability. It is short and easy to apply and will make it possible to reliably ascertain the need for qualification of the workforce, favoring the planning of actions and public policies of promotion of adequate and healthy food in primary health care.