BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura最新文献

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}