Janaína Marques e Melo, Silvia Maria de Freitas, Idemauro Antonio Rodrigues de Lara
Na Ciência de Alimentos é importante melhorar produtos e métodos e este trabalho teve como objetivo apresentar uma estratégia de análise de dados sensoriais, utilizando a natureza ordinal das variáveis respostas, que corresponde à escala hedônica. Os dados são de um estudo com bebidas prebióticas à base de castanha de caju adicionadas ao suco de uva para avaliar suas características sensoriais e o estudo experimental seguiu um delineamento de blocos incompletos balanceados, em que cada provador avaliou 4 das 13 formulações de bebidas. Como métodos estatísticos foram utilizadas técnicas de análise de correspondência e modelos mistos de chances proporcionais. Selecionaram-se três formulações: 8% de açúcar e 40% de suco de uva, 6% de açúcar e 44% de suco de uva e 9% de açúcar e 30% de suco de uva. Verificou-se que a análise de correspondência bem como os modelos ordinais mistos foram úteis para análise de dados sensoriais, contribuindo para métodos na área.
{"title":"PREBIOTICS BEVERAGES BASED ON CASHEW NUT ALMOND AND GRAPE JUICE: PREFERENCE ANALYSIS BY MIXED MODELS","authors":"Janaína Marques e Melo, Silvia Maria de Freitas, Idemauro Antonio Rodrigues de Lara","doi":"10.37856/bja.v98i3.4341","DOIUrl":"https://doi.org/10.37856/bja.v98i3.4341","url":null,"abstract":"Na Ciência de Alimentos é importante melhorar produtos e métodos e este trabalho teve como objetivo apresentar uma estratégia de análise de dados sensoriais, utilizando a natureza ordinal das variáveis respostas, que corresponde à escala hedônica. Os dados são de um estudo com bebidas prebióticas à base de castanha de caju adicionadas ao suco de uva para avaliar suas características sensoriais e o estudo experimental seguiu um delineamento de blocos incompletos balanceados, em que cada provador avaliou 4 das 13 formulações de bebidas. Como métodos estatísticos foram utilizadas técnicas de análise de correspondência e modelos mistos de chances proporcionais. Selecionaram-se três formulações: 8% de açúcar e 40% de suco de uva, 6% de açúcar e 44% de suco de uva e 9% de açúcar e 30% de suco de uva. Verificou-se que a análise de correspondência bem como os modelos ordinais mistos foram úteis para análise de dados sensoriais, contribuindo para métodos na área.","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"68 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Através do termo paisagem, este artigo organiza uma das escalas reunidas e questionadas como “traços”. A abordagem se insere devido seu caráter polissêmico, bem como lida com diferentes pontos de vista e diversidade de perspectivas. Além disso, Arquitetura da Paisagem promoveu profissionalmente a construção de “pontes” entre regiões naturais e ocupações urbanas e, wilderness é um conceito chave para Reservas Biológicas e Unidades de Conservação (UCs) no Brasil. Portanto, esta análise de literatura atenta-se a aspectos políticos, históricos e espaciais para convergir Ciências Agrárias e Geografia. _________________________________________________________________________________________________________ Through an approach of landscape, this paper organizes one of the scales gathered and questioned as “outlines”. This term has contained polysemous mindset, as much carrying it several viewpoints and diversity of perspectives. Also, Landscape Architecture professionally constructed “bridges” between natural sites and urban sights and, wilderness is one of ground concepts to Brazilian Conversation Units (UCs) and biological reserves from Brazil. Thereby, this literature analysis focus on political, historical and spatial aspects to cross Agricultural Sciences and Geography.
这篇文章以 "穿越 "为题，组织了一个重聚和质疑的过程。本文的论述既有政治意义，又有不同的视角和多元化的视角。除此以外，自然景观艺术（Arquitetura da Paisagem）专业地促进了自然区域与城市居住区之间的 "桥梁 "建设，而荒野则是巴西生物保护区和保护单位（UCs）的一种理念。此外，该文献分析从政治、历史和空间等方面将农业和地理学结合起来。_________________________________________________________________________________________________________ 通过景观方法，本文将收集和质疑的尺度之一整理为 "轮廓"。这一术语包含了多义性思维，因为它承载了多种观点和多样性视角。此外，景观建筑学在自然景观和城市景观之间架起了专业的 "桥梁"，而荒野则是巴西对话单位（UCs）和巴西生物保护区的基本概念之一。因此，本文献分析侧重于政治、历史和空间方面，与农业科学和地理学相交叉。
{"title":"Landscape Architecture by macro outline: crossing Agricultural Sciences and Geography from Brazil","authors":"Rafael De Souza Silva","doi":"10.37856/bja.v98i3.4336","DOIUrl":"https://doi.org/10.37856/bja.v98i3.4336","url":null,"abstract":"Através do termo paisagem, este artigo organiza uma das escalas reunidas e questionadas como “traços”. A abordagem se insere devido seu caráter polissêmico, bem como lida com diferentes pontos de vista e diversidade de perspectivas. Além disso, Arquitetura da Paisagem promoveu profissionalmente a construção de “pontes” entre regiões naturais e ocupações urbanas e, wilderness é um conceito chave para Reservas Biológicas e Unidades de Conservação (UCs) no Brasil. Portanto, esta análise de literatura atenta-se a aspectos políticos, históricos e espaciais para convergir Ciências Agrárias e Geografia. \u0000_________________________________________________________________________________________________________ \u0000Through an approach of landscape, this paper organizes one of the scales gathered and questioned as “outlines”. This term has contained polysemous mindset, as much carrying it several viewpoints and diversity of perspectives. Also, Landscape Architecture professionally constructed “bridges” between natural sites and urban sights and, wilderness is one of ground concepts to Brazilian Conversation Units (UCs) and biological reserves from Brazil. Thereby, this literature analysis focus on political, historical and spatial aspects to cross Agricultural Sciences and Geography.","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"136 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriela Martins Corrêa, Natália Fernandes Rodrigues, Cristina Moll Huther, Silvio Roberto de Lucena Tavares, Julia Ramos de Oliveira, Felipe Neves Verde, Josiane Pereira da Silva
Germanium (Ge) is a chemical element used in several industrial processes. According tothe Survey of Rocks and Soils of the Geological Service of Brazil (SGB-CPRM) thiselement is found in a wide territorial range in the country. Thus, The objective of this studywas to evaluate the primary metabolism of Raphanus sativus when grown with differentdoses of germanium, in relation to photosynthetic performance and growth for three cropcycles. The experiment consisted of growing radish in 7 treatments containing germaniumin the soil at concentrations of 0; 0.5; 1; 1.5; 2; 2.5; 3 mg kg -1 . Analyses were performedover three complete cycles of the crop, from seedling production, transplanting andharvesting. The parameters analyzed in each cycle were: growth, chlorophyllconcentration, chlorophyll a fluorescence, and stomatal conductance. The treatments withconcentrations up to 1.5 mg kg -1 , in all cycles, presented a better performance. Indicating apossible toxicity for levels above this.
{"title":"Increasing doses of germanium in the soil alter the primary metabolism of radish plants","authors":"Gabriela Martins Corrêa, Natália Fernandes Rodrigues, Cristina Moll Huther, Silvio Roberto de Lucena Tavares, Julia Ramos de Oliveira, Felipe Neves Verde, Josiane Pereira da Silva","doi":"10.37856/bja.v98i3.4331","DOIUrl":"https://doi.org/10.37856/bja.v98i3.4331","url":null,"abstract":"Germanium (Ge) is a chemical element used in several industrial processes. According tothe Survey of Rocks and Soils of the Geological Service of Brazil (SGB-CPRM) thiselement is found in a wide territorial range in the country. Thus, The objective of this studywas to evaluate the primary metabolism of Raphanus sativus when grown with differentdoses of germanium, in relation to photosynthetic performance and growth for three cropcycles. The experiment consisted of growing radish in 7 treatments containing germaniumin the soil at concentrations of 0; 0.5; 1; 1.5; 2; 2.5; 3 mg kg -1 . Analyses were performedover three complete cycles of the crop, from seedling production, transplanting andharvesting. The parameters analyzed in each cycle were: growth, chlorophyllconcentration, chlorophyll a fluorescence, and stomatal conductance. The treatments withconcentrations up to 1.5 mg kg -1 , in all cycles, presented a better performance. Indicating apossible toxicity for levels above this.","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"54 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139390144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leonardo Cesar Pradebon, I. Carvalho, José Antonio Gonzalez da Silva, João Antonio Dalla Roza, Murilo Vieira Loro, L. L. Ferreira, Jaqueline Piasanti Sangiovo
This work aimed to demonstrate the agronomic performance of the new white oat cultivar and to verify if it presents an ideotype for cultivation in sustainable environments. This study took place at Escola Fazenda Unijuí, located in the municipality of Augusto Pestana, in the northwest region of the state of Rio Grande do Sul. The experimental design used was randomized blocks, organized in a factorial scheme 4 white oat genotypes x 2 growing seasons (2021 and 2022). The genotypes used were a control cultivar (URS Taura), two parent cultivars (FAEM Barbarasul and FAEM Brisasul) and a candidate cultivar (URNRS22), arranged in four replications, totaling 32 experimental units. The analysis of variance at 5% probability by the F test was used. Tukey's mean comparison test was used to compare the means of the treatments. The dissimilarity matrix was calculated and multivariate selection indices were used to select genotypes with better agronomic performance. The candidate cultivar called URNRS 22 showed a superior response for panicle weight, number of grains per panicle, thousand grain weight and grain yield. Keywords: Avena sativa; Genetical diversity; Genetic Breeding; MGIDI.
{"title":"DEVELOPMENT AND SELECTION OF WHITE OAT GENOTYPES FOR SUSTAINABLE ENVIRONMENTS","authors":"Leonardo Cesar Pradebon, I. Carvalho, José Antonio Gonzalez da Silva, João Antonio Dalla Roza, Murilo Vieira Loro, L. L. Ferreira, Jaqueline Piasanti Sangiovo","doi":"10.37856/bja.v98i3.4338","DOIUrl":"https://doi.org/10.37856/bja.v98i3.4338","url":null,"abstract":"This work aimed to demonstrate the agronomic performance of the new white oat cultivar and to verify if it presents an ideotype for cultivation in sustainable environments. This study took place at Escola Fazenda Unijuí, located in the municipality of Augusto Pestana, in the northwest region of the state of Rio Grande do Sul. The experimental design used was randomized blocks, organized in a factorial scheme 4 white oat genotypes x 2 growing seasons (2021 and 2022). The genotypes used were a control cultivar (URS Taura), two parent cultivars (FAEM Barbarasul and FAEM Brisasul) and a candidate cultivar (URNRS22), arranged in four replications, totaling 32 experimental units. The analysis of variance at 5% probability by the F test was used. Tukey's mean comparison test was used to compare the means of the treatments. The dissimilarity matrix was calculated and multivariate selection indices were used to select genotypes with better agronomic performance. The candidate cultivar called URNRS 22 showed a superior response for panicle weight, number of grains per panicle, thousand grain weight and grain yield. \u0000Keywords: Avena sativa; Genetical diversity; Genetic Breeding; MGIDI.","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"119 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139391116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daibou Alassane, Jaqueline Akemi Suzuki Sediyama, Alice Dos Santos Ribeiro, J. I. Ribeiro Júnior, Belo Afonso Muetanene
In factorial experiments conducted under randomized block design, the multiple linear regression model fitting can be performed under different combinations of the quantitative levels of the two factors and the number of replications. To determine the best combination, considering the same number of levels per factor and the same number of experimental units, it was concluded through a simulated data study that the quality of the fit increases when regression is performed in experiments with fewer combinations of levels (treatments) and more replications. Therefore, if linearity is expected, using four treatments evaluated in a 2 × 2 factorial design for model fitting is recommended. Otherwise, nine treatments evaluated in a 3 × 3 factorial design are recommended. All of this is for experiments with coefficients of variation of 20%. Keywords: Treatments, Replications, Experimental precision.
{"title":"PERFORMANCE OF MULTIPLE LINEAR REGRESSION ANALYSIS CONDUCTED UNDER RANDOMIZED COMPLETE BLOCK DESIGN","authors":"Daibou Alassane, Jaqueline Akemi Suzuki Sediyama, Alice Dos Santos Ribeiro, J. I. Ribeiro Júnior, Belo Afonso Muetanene","doi":"10.37856/bja.v98i3.4334","DOIUrl":"https://doi.org/10.37856/bja.v98i3.4334","url":null,"abstract":"In factorial experiments conducted under randomized block design, the multiple linear regression model fitting can be performed under different combinations of the quantitative levels of the two factors and the number of replications. To determine the best combination, considering the same number of levels per factor and the same number of experimental units, it was concluded through a simulated data study that the quality of the fit increases when regression is performed in experiments with fewer combinations of levels (treatments) and more replications. Therefore, if linearity is expected, using four treatments evaluated in a 2 × 2 factorial design for model fitting is recommended. Otherwise, nine treatments evaluated in a 3 × 3 factorial design are recommended. All of this is for experiments with coefficients of variation of 20%. \u0000Keywords: Treatments, Replications, Experimental precision.","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"12 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Belo Afonso Muetanene, Luiz Alexandre Peternelli, Policarpo Carneiro, Felipe Lopes Da Silva, Danilo Pereira Barbosa, José Ivo
The present study aimed to compare the following selection indices: Smith and Hazel multiplicative, Mulamba and Mock's, and the support vector machines algorithm (SVM) for sugarcane families selection. We considered the genotypic values for family means of the tons of stalks per hectare per family (GVFTSH) as the ideal selection approach to select sugarcane families. We used the dataset from Moreira et al. (2021), in that study, the authors conducted five experiments, in each experiment 22 sugarcane families were evaluated, we constructed the selection indices via a mixed models approach, adopting a selection percentage of 18% of the top families for the selection process. The selection indices were used to conduct an indirect selection of the tons of stalks per hectare per family (TSH) through the total number of stalks per plot (NS), stalks diameter (SD, in centimeters) and stalk height (SH, in meters). For the support vector machines (SVM), the explanatory traits were as follows: number of stalks (NS), stalk diameter (SD) and stalk height (SH), the response trait was the TSH, the selection criterion was to select only sugarcane families with a production of TSH higher than the overall mean. We also produced synthetic data via multivariate simulation to improve the SVM training performance, as we only had 22 sugarcane families in each experiment, a number of families insufficient to train the SVM. In this study, for the selection via SVM, the selected families were ranked based on their decreasing probability of being classified as selected, and the SVM best parameters were obtained via grid search. In general, the Smith and Hazel index using the broad sense heritability as economic weight presented the best performance, as it presented the highest coincidence coefficient values with the GVFTSH in 80% of the experiments. In our study, the SVM had worse performance than the selection indices, mainly when compared to Smith and Hazel index using the broad sense heritability as economic weight. The lower performance for support vector machines obtained, is probably due to the smaller sample size used to estimate the correlation matrix, impacting on the dataset simulation used to train the support vector machines.Â
本研究旨在比较Smith和Hazel乘法、Mulamba和Mock的选择指标以及支持向量机算法(SVM)在甘蔗家族选择中的应用。我们认为每公顷每家庭秸秆吨数的家庭平均值(GVFTSH)的基因型值是选择甘蔗家庭的理想选择方法。我们使用Moreira et al.(2021)的数据集，在该研究中，作者进行了5个实验，每个实验对22个甘蔗家族进行了评估，我们通过混合模型方法构建了选择指标，采用18%的最佳家族进行选择过程。利用选择指标，通过每亩秸秆总数(NS)、秸秆直径(SD，单位厘米)和秸秆高(SH，单位米)对每户每公顷秸秆吨(TSH)进行间接选择。支持向量机(SVM)的解释性状为茎数(NS)、茎粗(SD)和茎高(SH)，响应性状为TSH，选择标准为仅选择TSH产量高于总体平均值的甘蔗家族。为了提高SVM的训练性能，我们还通过多元模拟生成了合成数据，因为每次实验中我们只有22个甘蔗家族，很多家族不足以训练SVM。在本研究中，通过支持向量机的选择，根据被选择的家庭被分类的概率递减对其进行排序，并通过网格搜索获得支持向量机的最佳参数。总体而言，以广义遗传力为经济权重的Smith and Hazel指数表现最好，在80%的试验中，Smith和Hazel指数与GVFTSH的重合系数值最高。在我们的研究中，支持向量机的表现不如选择指标，主要是与使用广义遗传力作为经济权重的Smith和Hazel指数相比。所获得的支持向量机较低的性能可能是由于用于估计相关矩阵的样本量较小，影响了用于训练支持向量machines.Â的数据集模拟
{"title":"Selection indices and support vector machines in the selection of sugarcane families","authors":"Belo Afonso Muetanene, Luiz Alexandre Peternelli, Policarpo Carneiro, Felipe Lopes Da Silva, Danilo Pereira Barbosa, José Ivo","doi":"10.37856/bja.v98i1.4321","DOIUrl":"https://doi.org/10.37856/bja.v98i1.4321","url":null,"abstract":"The present study aimed to compare the following selection indices: Smith and Hazel multiplicative, Mulamba and Mock's, and the support vector machines algorithm (SVM) for sugarcane families selection. We considered the genotypic values for family means of the tons of stalks per hectare per family (GVFTSH) as the ideal selection approach to select sugarcane families. We used the dataset from Moreira et al. (2021), in that study, the authors conducted five experiments, in each experiment 22 sugarcane families were evaluated, we constructed the selection indices via a mixed models approach, adopting a selection percentage of 18% of the top families for the selection process. The selection indices were used to conduct an indirect selection of the tons of stalks per hectare per family (TSH) through the total number of stalks per plot (NS), stalks diameter (SD, in centimeters) and stalk height (SH, in meters). For the support vector machines (SVM), the explanatory traits were as follows: number of stalks (NS), stalk diameter (SD) and stalk height (SH), the response trait was the TSH, the selection criterion was to select only sugarcane families with a production of TSH higher than the overall mean. We also produced synthetic data via multivariate simulation to improve the SVM training performance, as we only had 22 sugarcane families in each experiment, a number of families insufficient to train the SVM. In this study, for the selection via SVM, the selected families were ranked based on their decreasing probability of being classified as selected, and the SVM best parameters were obtained via grid search. In general, the Smith and Hazel index using the broad sense heritability as economic weight presented the best performance, as it presented the highest coincidence coefficient values with the GVFTSH in 80% of the experiments. In our study, the SVM had worse performance than the selection indices, mainly when compared to Smith and Hazel index using the broad sense heritability as economic weight. The lower performance for support vector machines obtained, is probably due to the smaller sample size used to estimate the correlation matrix, impacting on the dataset simulation used to train the support vector machines.Â","PeriodicalId":481958,"journal":{"name":"BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：