{"title":"Estimation of grape Isabel's quality in pre-harvest based on spectral signature","authors":"M. A. Lima, Antônio Odair Santos","doi":"10.30574/msabp.2020.1.1.0012","DOIUrl":"https://doi.org/10.30574/msabp.2020.1.1.0012","url":null,"abstract":"Near Infrared Spectroscopy is a valid non-destructive technique to quantify / estimate grape quality parameters. The objective of this study was to evaluate the logistics of using a motorized vehicle and a portable infrared spectrophotometer (NIR) to quantify the field phenolic compounds (anthocyanin, polyphenols and tannins) of the Isabel grape by spectral data. The spectra were taken in the field in a portable NIR (Brimrose Corp, MD, USA), attached to a Notebook and positioned in a Gator (John Deere) motor vehicle, which has a suitable dimension (1.52 m) to lines without damaging the plants. The phenolic compounds were estimated using calibration models previously determined. Seventy clusters of grape were evaluated in the 2017 and 2018 harvests, after pigmentation of the bark. It was observed that the models tested to quantify the phenolic compounds had an excellent predictive capacity, presenting low standard deviation. The instrumentation and software used were well integrated, making it possible to quickly visualize the variability of quality indicators in the field before harvest.","PeriodicalId":42771,"journal":{"name":"Applied Research & Agrotechnology","volume":"24 1","pages":"011-013"},"PeriodicalIF":0.0,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83067051","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}
A. Sanches, Antônio Rafael de Oliveira, C. Cordeiro
{"title":"Physical-chemical and biochemical characterization in biribazeiro fruits through multivariate analysis","authors":"A. Sanches, Antônio Rafael de Oliveira, C. Cordeiro","doi":"10.5935/PAET.","DOIUrl":"https://doi.org/10.5935/PAET.","url":null,"abstract":"The present study aimed to select matrices of biribazeiro based on physical, physicochemical and biochemical characteristics of its fruits, in order to establish criteria for the genetic improvement program of this species, through the use of multivariate techniques. The UPGMA and main component cluster analysis using biplot were performed in Statistica 7.7 software. The characteristics evaluated were: fruit weight, longitudinal and transverse diameter, peel thickness, seed number, spike size, pulp weight, fruit firmness, soluble solids, titratable acidity, SS / AT ratio, pH, starch, compounds total phenolics, antioxidant activity and vitamin C. The analysis of clusters brought together the matrices in four heterotic groups on the physical and chemical attributes of the fruits. The analysis of the first two main components represented 58.88% of the total data variation and allowed to correlate matrices according to the angle and length of their vectors to the most relevant characters. Based on the results obtained, it can be concluded that the G33, L89, D15 and K24 matrices are characterized by the high soluble solids content, while the matrix E18 presents high potential due to the higher content of bioactive compounds. Regarding the physical characters, highlight materials E23, J08 and C27 due to the higher weight of the pulp. The techniques of multivariate analysis used are consolidated as fundamental tools for the visualization and selection of the promising matrices, aiming at the genetic improvement of the biribazeiro.","PeriodicalId":42771,"journal":{"name":"Applied Research & Agrotechnology","volume":"19 1","pages":"69-77"},"PeriodicalIF":0.0,"publicationDate":"2019-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73274310","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":"Genetic Diversity Analysis of Walnut (Juglans regia L.) from Kashmir Valley Using RAPD and ISSR Markers","authors":"Uzma Noor Shah, J. Mir, N. Ahmed, K. Fazili","doi":"10.35248/2168-9881.19.8.185","DOIUrl":"https://doi.org/10.35248/2168-9881.19.8.185","url":null,"abstract":"Walnut (Juglans regia) is one of the most essential nutritive and economic nut crops. Genetic diversity analysis of 96 walnut genotypes from Kashmir was done using 13 RAPD and 19 ISSR markers. RAPD diversity analysis revealed 27.78% polymorphism while as ISSR analysis showed 93.05% of polymorphic bands. Jaccards similarity co-efficient ranged from 0.78 to 1 with an average of 0.91 for RAPD and 0.22 to 0.85 with an average of 0.58 for ISSR markers and 0.59 to 0.92 with an average of 0.74 for combined data. Cluster analysis using UPGMA by RAPD and ISSR markers obviously revealed distinct diversity between genotypes. The dendrogram constructed from the combination of RAPD and ISSR markers categorized the 96 genotypes into one major cluster and five minor clusters. Effective number of alleles (Ne), Nei’s gene diversity (H) and Shannon’s Information index (I) of 96 samples were 1.12, 0.08 and 0.12 respectively for RAPD data and 1.48, 0.29 and 0.44 for ISSR data respectively. Positive correlation (r=0.11) was observed between RAPD and ISSR markers using the Mantel test and thus supporting the validity of the dendrogram. The high number of alleles and a broad range of genetic diversity were observed among all the genotypes, accounting them as potential candidates for selective breeding for particular traits and expanding the genetic base. Based on our results, RAPD and ISSR analysis can be used for the characterization and categorizing of walnut genotypes and indicate that Jammu and Kashmir has a significant genetic diversity pool and rich genetic variance of walnuts.","PeriodicalId":42771,"journal":{"name":"Applied Research & Agrotechnology","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80751426","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":"Fusarium Wilt Disease of Banana in India: Current Scenario","authors":"Siddhesh B. Ghag","doi":"10.35248/2168-9881.19.8.E121","DOIUrl":"https://doi.org/10.35248/2168-9881.19.8.E121","url":null,"abstract":"","PeriodicalId":42771,"journal":{"name":"Applied Research & Agrotechnology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84786419","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}
A. Sanches, Antônio Rafael de Oliveira, C. Cordeiro
{"title":"Physical-chemical and biochemical characterization in biribazeiro fruits through\u0000 multivariate analysis","authors":"A. Sanches, Antônio Rafael de Oliveira, C. Cordeiro","doi":"10.5935/paet.v12.n1.07","DOIUrl":"https://doi.org/10.5935/paet.v12.n1.07","url":null,"abstract":"The present study aimed to select matrices of biribazeiro based on physical, physicochemical and biochemical characteristics of its fruits, in order to establish criteria for the genetic improvement program of this species, through the use of multivariate techniques. The UPGMA and main component cluster analysis using biplot were performed in Statística 7.7 software. The characteristics evaluated were: fruit weight, longitudinal and transverse diameter, peel thickness, seed number, spike size, pulp weight, fruit firmness, soluble solids, titratable acidity, SS / AT ratio, pH, starch, compounds total phenolics, antioxidant activity and vitamin C. The analysis of clusters brought together the matrices in four heterotic groups on the physical and chemical attributes of the fruits. The analysis of the first two main components represented 58.88% of the total data variation and allowed to correlate matrices according to the angle and length of their vectors to the most relevant characters. Based on the results obtained, it can be concluded that the G33, L89, D15 and K24 matrices are characterized by the high soluble solids content, while the matrix E18 presents high potential due to the higher content of bioactive compounds. Regarding the physical characters, highlight materials E23, J08 and C27 due to the higher weight of the pulp. The techniques of multivariate analysis used are consolidated as fundamental tools for the visualization and selection of the promising matrices, aiming at the genetic improvement of the biribazeiro.","PeriodicalId":42771,"journal":{"name":"Applied Research & Agrotechnology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71189485","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}