cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20003461
title: Treatment of swine manure: case studies in European’s N-surplus areas

description: ABSTRACT In this study, eight different manure treatment plants were monitored. The plants were four on-farm and four centralized treatment plants, all of them at full-scale level. Assessment includes a total of seven pre-treatment and process units as follows: mechanical separation, with and without coagulant and flocculant addition, pasteurization, nitrification-denitrification, anaerobic digestion, and composting. The plants are located in nutrient surplus areas of three European Member States (Spain, Italy and Denmark), the majority of these areas being Nitrate Vulnerable Zones (NVZ). Results presented herein are data collected over a six-month period and comprise performance data of the treatment plants, pathogen indicators (E.coli and Salmonella) and greenhouse gas (GHG) emissions data under two scenarios: 1) the baseline scenario and 2) the treatment plant scenario. The assessment includes GHG emissions of the storage facilities, transportation, and subsequent intermediate storage, electric consumption, electric production, composting, and land application. All treatment plants studied generated a significant reduction in GHG emissions (between 53 and 90 %) in comparison to the baseline scenario. Organic matter and total solids (TS) content in manure were also greatly reduced, with values ranging between 35-53 % of chemical oxygen demand (COD) and, 24-61 % of TS for anaerobic digestion (AD) treatment plants, 77-93 % COD and 70 % TS in the case of AD combined with nitrogen (N)-removal unit plants. Nitrogen concentrations were also greatly reduced (between 65-85 %) total Kjeldahl nitrogen (TKN) and 68-83 % ammonium (NH4+-N)) in plants with N-removal units.
DOI: 10.6084/m9.figshare.20003461.v1
title: Treatment of swine manure: case studies in European’s N-surplus areas

description: ABSTRACT In this study, eight different manure treatment plants were monitored. The plants were four on-farm and four centralized treatment plants, all of them at full-scale level. Assessment includes a total of seven pre-treatment and process units as follows: mechanical separation, with and without coagulant and flocculant addition, pasteurization, nitrification-denitrification, anaerobic digestion, and composting. The plants are located in nutrient surplus areas of three European Member States (Spain, Italy and Denmark), the majority of these areas being Nitrate Vulnerable Zones (NVZ). Results presented herein are data collected over a six-month period and comprise performance data of the treatment plants, pathogen indicators (E.coli and Salmonella) and greenhouse gas (GHG) emissions data under two scenarios: 1) the baseline scenario and 2) the treatment plant scenario. The assessment includes GHG emissions of the storage facilities, transportation, and subsequent intermediate storage, electric consumption, electric production, composting, and land application. All treatment plants studied generated a significant reduction in GHG emissions (between 53 and 90 %) in comparison to the baseline scenario. Organic matter and total solids (TS) content in manure were also greatly reduced, with values ranging between 35-53 % of chemical oxygen demand (COD) and, 24-61 % of TS for anaerobic digestion (AD) treatment plants, 77-93 % COD and 70 % TS in the case of AD combined with nitrogen (N)-removal unit plants. Nitrogen concentrations were also greatly reduced (between 65-85 %) total Kjeldahl nitrogen (TKN) and 68-83 % ammonium (NH4+-N)) in plants with N-removal units.
DOI: 10.6084/m9.figshare.20003462
title: Spatial prediction of soil penetration resistance using functional geostatistics

description: ABSTRACT Knowledge of agricultural soils is a relevant factor for the sustainable development of farming activities. Studies on agricultural soils usually begin with the analysis of data obtained from sampling a finite number of sites in a particular region of interest. The variables measured at each site can be scalar (chemical properties) or functional (infiltration water or penetration resistance). The use of functional geostatistics (FG) allows to perform spatial curve interpolation to generate prediction curves (instead of single variables) at sites that lack information. This study analyzed soil penetration resistance (PR) data measured between 0 and 35 cm depth at 75 sites within a 37 ha plot dedicated to livestock. The data from each site were converted to curves using non-parametric smoothing techniques. In this study, a B-splines basis of 18 functions was used to estimate PR curves for each of the 75 sites. The applicability of FG as a spatial prediction tool for PR curves was then evaluated using cross-validation, and the results were compared with classical spatial prediction methods (univariate geostatistics) that are generally used for studying this type of information. We concluded that FG is a reliable tool for analyzing PR because a high correlation was obtained between the observed and predicted curves (R2 = 94 %). In addition, the results from descriptive analyses calculated from field data and FG models were similar for the observed and predicted values.
DOI: 10.6084/m9.figshare.20003462.v1
title: Spatial prediction of soil penetration resistance using functional geostatistics

description: ABSTRACT Knowledge of agricultural soils is a relevant factor for the sustainable development of farming activities. Studies on agricultural soils usually begin with the analysis of data obtained from sampling a finite number of sites in a particular region of interest. The variables measured at each site can be scalar (chemical properties) or functional (infiltration water or penetration resistance). The use of functional geostatistics (FG) allows to perform spatial curve interpolation to generate prediction curves (instead of single variables) at sites that lack information. This study analyzed soil penetration resistance (PR) data measured between 0 and 35 cm depth at 75 sites within a 37 ha plot dedicated to livestock. The data from each site were converted to curves using non-parametric smoothing techniques. In this study, a B-splines basis of 18 functions was used to estimate PR curves for each of the 75 sites. The applicability of FG as a spatial prediction tool for PR curves was then evaluated using cross-validation, and the results were compared with classical spatial prediction methods (univariate geostatistics) that are generally used for studying this type of information. We concluded that FG is a reliable tool for analyzing PR because a high correlation was obtained between the observed and predicted curves (R2 = 94 %). In addition, the results from descriptive analyses calculated from field data and FG models were similar for the observed and predicted values.
DOI: 10.6084/m9.figshare.20003464.v1
title: Additional file 1 of Clinical results following colonic resection for ulcerative colitis in elderly individuals (elderly-onset vs. nonelderly onset)

description: Additional file 1. Patient data in this study.
DOI: 10.6084/m9.figshare.20003464
title: Additional file 1 of Clinical results following colonic resection for ulcerative colitis in elderly individuals (elderly-onset vs. nonelderly onset)

description: Additional file 1. Patient data in this study.
DOI: 10.6084/m9.figshare.20003467
title: Heterosis and genetic parameters for grain quality in oat segregating populations

description: ABSTRACT Improvement of quality-related traits of grains is a constant concern in white oat breeding programs, which challenges breeders to understand their dynamics. The performance of different genetic combinations must be thoroughly evaluated to make high nutritional quality cultivars available. This study aimed to estimate the heterosis on F1 and F2 generations, vigor loss, due to inbreeding, and correlation between the grain chemical components to understand the dynamics of these traits, considering two segregating oat progenies. The populations Albasul × UPF 15 (population 1) and IAC 7 × UFRGS 19 (population 2) were developed. Both populations showed transgressive segregant individuals. The combination Albasul × UPF 15 provided significant heterosis for traits β-glucan total and soluble fiber contents, while the population obtained by crossing IAC 7 × UFRGS 19 generated significant gain by heterosis for total fiber, insoluble fibers and non-structural carbohydrate contents. Considering the F2 average for each population, one can observe that population 1 presents higher β-glucan and lipid contents than population 2. On the other hand, population 2 has higher protein content than population 1. In both populations, the non-structural carbohydrate content is strongly and negatively correlated whith protein, total and insoluble fibers. Correlations between total fibers and lipids and between total fibers and insoluble fibers were both positive and high in both populations.
DOI: 10.6084/m9.figshare.20003467.v1
title: Heterosis and genetic parameters for grain quality in oat segregating populations

description: ABSTRACT Improvement of quality-related traits of grains is a constant concern in white oat breeding programs, which challenges breeders to understand their dynamics. The performance of different genetic combinations must be thoroughly evaluated to make high nutritional quality cultivars available. This study aimed to estimate the heterosis on F1 and F2 generations, vigor loss, due to inbreeding, and correlation between the grain chemical components to understand the dynamics of these traits, considering two segregating oat progenies. The populations Albasul × UPF 15 (population 1) and IAC 7 × UFRGS 19 (population 2) were developed. Both populations showed transgressive segregant individuals. The combination Albasul × UPF 15 provided significant heterosis for traits β-glucan total and soluble fiber contents, while the population obtained by crossing IAC 7 × UFRGS 19 generated significant gain by heterosis for total fiber, insoluble fibers and non-structural carbohydrate contents. Considering the F2 average for each population, one can observe that population 1 presents higher β-glucan and lipid contents than population 2. On the other hand, population 2 has higher protein content than population 1. In both populations, the non-structural carbohydrate content is strongly and negatively correlated whith protein, total and insoluble fibers. Correlations between total fibers and lipids and between total fibers and insoluble fibers were both positive and high in both populations.
DOI: 10.6084/m9.figshare.20003486
title: Quantitative trait locus mapping associated with earliness and fruit weight in tomato

description: ABSTRACT The flowering time is regarded as an important factor that affects yield in various crops. In order to understand how the molecular basis controlling main components of earliness in tomato (Solanum lycopersicum L.), and to deduce whether the correlation between fruit weight, days to flowering and seed weight, is caused by pleiotropic effects or genetic linkage, a QTLs analysis was carried out using an F2 interspecific population derived from the cross of S. lycopersicum and S. pimpinellifolium. The analysis revealed that most of the components related to earliness were independent due to the absence of phenotypic correlation and lack of co-localization of their QTLs. QTLs affecting the flowering time showed considerable variation over time in values of explained phenotypic variation and average effects, which suggested dominance becomes more evident over time. The path analysis showed that traits such as days to flowering, seed weight, and length of the first leaf had a significant effect on the expression of fruit weight, confirming that their correlations were due to linkage. This result was also confirmed in two genomic regions located on chromosomes 1 and 4, where despite showing high co-localization of QTLs associated to days to flowering, seed weight and fruit weight, the presence and absence of epistasis in dfft1.1 × dftt4.1 and fw1.1 × fw4.1, suggested that the linkage was the main cause of the co-localization.
DOI: 10.6084/m9.figshare.20003486.v1
title: Quantitative trait locus mapping associated with earliness and fruit weight in tomato

description: ABSTRACT The flowering time is regarded as an important factor that affects yield in various crops. In order to understand how the molecular basis controlling main components of earliness in tomato (Solanum lycopersicum L.), and to deduce whether the correlation between fruit weight, days to flowering and seed weight, is caused by pleiotropic effects or genetic linkage, a QTLs analysis was carried out using an F2 interspecific population derived from the cross of S. lycopersicum and S. pimpinellifolium. The analysis revealed that most of the components related to earliness were independent due to the absence of phenotypic correlation and lack of co-localization of their QTLs. QTLs affecting the flowering time showed considerable variation over time in values of explained phenotypic variation and average effects, which suggested dominance becomes more evident over time. The path analysis showed that traits such as days to flowering, seed weight, and length of the first leaf had a significant effect on the expression of fruit weight, confirming that their correlations were due to linkage. This result was also confirmed in two genomic regions located on chromosomes 1 and 4, where despite showing high co-localization of QTLs associated to days to flowering, seed weight and fruit weight, the presence and absence of epistasis in dfft1.1 × dftt4.1 and fw1.1 × fw4.1, suggested that the linkage was the main cause of the co-localization.
DOI: 10.6084/m9.figshare.20003601
title: Additional file 1 of Impact of breeder seed multiplication and certified quality seed distribution on rice production in India

description: Additional file 1: Table S1. Sheet 1 BS production in notified rice cultivars in India from 1995–96 to 2018–19, Sheet 2 Rice area, production and certified quality seed distribution (CQSD) in India from 1995–2018, Sheet 3 Details on inbred and hybrid cultivars notified by Government of India from 1969 to 2018 (ICAR-IIRR 1966–2020; GOI, 1969–2019), Sheet 4 Particulars on centres of AICIRP network used to produce breeder seeds in inbred and F1 hybrid cultivars from 1995–96 to 2018–19.
DOI: 10.6084/m9.figshare.20003601.v1
title: Additional file 1 of Impact of breeder seed multiplication and certified quality seed distribution on rice production in India

description: Additional file 1: Table S1. Sheet 1 BS production in notified rice cultivars in India from 1995–96 to 2018–19, Sheet 2 Rice area, production and certified quality seed distribution (CQSD) in India from 1995–2018, Sheet 3 Details on inbred and hybrid cultivars notified by Government of India from 1969 to 2018 (ICAR-IIRR 1966–2020; GOI, 1969–2019), Sheet 4 Particulars on centres of AICIRP network used to produce breeder seeds in inbred and F1 hybrid cultivars from 1995–96 to 2018–19.
DOI: 10.6084/m9.figshare.20003604
title: Additional file 2 of Impact of breeder seed multiplication and certified quality seed distribution on rice production in India

description: Additional file 2: Table S2. Sheet 1 BS production in inbred cultivars identified by AICRIP but not notified by GOI (1995–96 to 2018–19). Sheet 2 Contribution of inbred cultivars (suitable for different ecosystem/group) developed at AICRIP and international participating centre (1995–2018). Sheet 3 The proportional contribution of an inbred cultivar estimated relative to other cultivars in BS production system, BS quantity and BS index (1995–96 to 2018–19). Sheet 4 Cultivars (No.) listed in POS (production-oriented surveys) from 1995 to 2018 in different rice growing states in India. Sheet 5 Cultivars listed in production-oriented surveys in farmers' fields in India from 1995 to 2018. Sheet 6 Variability in one thousand seed weight (1000-seed wt. g) in inbred and F1 hybrid cultivars. Sheet 7 Estimating seed rate per hectare for sowing based on seed weight of rice cultivar to ensure adequate plant population of plants as recommended by AICRIP and GOI.
DOI: 10.6084/m9.figshare.20003604.v1
title: Additional file 2 of Impact of breeder seed multiplication and certified quality seed distribution on rice production in India

description: Additional file 2: Table S2. Sheet 1 BS production in inbred cultivars identified by AICRIP but not notified by GOI (1995–96 to 2018–19). Sheet 2 Contribution of inbred cultivars (suitable for different ecosystem/group) developed at AICRIP and international participating centre (1995–2018). Sheet 3 The proportional contribution of an inbred cultivar estimated relative to other cultivars in BS production system, BS quantity and BS index (1995–96 to 2018–19). Sheet 4 Cultivars (No.) listed in POS (production-oriented surveys) from 1995 to 2018 in different rice growing states in India. Sheet 5 Cultivars listed in production-oriented surveys in farmers' fields in India from 1995 to 2018. Sheet 6 Variability in one thousand seed weight (1000-seed wt. g) in inbred and F1 hybrid cultivars. Sheet 7 Estimating seed rate per hectare for sowing based on seed weight of rice cultivar to ensure adequate plant population of plants as recommended by AICRIP and GOI.
DOI: 10.6084/m9.figshare.20003659
title: Positioning of sensors for control of ventilation systems in broiler houses: a case study

description: ABSTRACT Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses.
DOI: 10.6084/m9.figshare.20003659.v1
title: Positioning of sensors for control of ventilation systems in broiler houses: a case study

description: ABSTRACT Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses.
DOI: 10.6084/m9.figshare.20003670
title: Additional file 1 of Simulating the restoration of normal gene expression from different thyroid cancer stages using deep learning

description: Additional file 1.
DOI: 10.6084/m9.figshare.20003670.v1
title: Additional file 1 of Simulating the restoration of normal gene expression from different thyroid cancer stages using deep learning

description: Additional file 1.
DOI: 10.6084/m9.figshare.20003681.v1
title: Water restriction and physiological traits in soybean genotypes contrasting for nitrogen fixation drought tolerance

description: ABSTRACT Biological nitrogen fixation (BNF) is essential to the economic viability of the soybean [Glycine max (L.) Merrill] crop in Brazil, but drought may impair the BNF processes. We evaluated physiological traits of nitrogen fixation drought-tolerant (NFDT) (R01-581F, R01-416F and R02-1325) and drought-susceptible (CD 215 and BRS 317) genotypes of soybean subjected to drought or regular water supply between 45 and 55 days after emergence, in an experiment under greenhouse conditions in pots containing non-sterile soil. R01-581F had more stable photosynthetic and transpiration rates, and higher intercellular CO2 levels under drought. Drought reduced the chlorophyll concentration in all genotypes, but with less intensity in R01-581F and R02-1325. The NFDT genotypes generally showed higher concentrations of N, K and Mn in shoots, irrespective of the water condition. Exposure to drought increased total soluble sugars in nodules in all genotypes, as well as the concentrations of ureides in leaves and nodules, whereas ureides in petioles increased only in the susceptible genotypes. Drought negatively affected photosynthetic and BNF attributes; however, R01-581F showed the best performance, with potential for use in breeding programs aiming at drought-tolerant varieties.