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      Agroclimatic zoning for urucum crops in the state of Minas Gerais, Brazil

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          Abstract

          ABSTRACT Hardier crops are needed in the arid regions of the Brazilian state of Minas Gerais, and annatto (Bixa orellana L.) is a good candidate. Producers, however, do not know if their areas are suitable for its cultivation and so are not investing in its implementation. Agroclimatic zoning would provide guidance to the producers. Identifying potential areas for the production of this crop would thus contribute to the agroclimatic zoning of B. orellana in Minas Gerais. We collected data for air temperature and precipitation from 852 meteorological stations in the state to classify regions as suitable, marginally suitable, or unsuitable for the crop. Suitable regions had an air temperature between 22 and 27 °C and precipitation between 800 and 1600 mm.y-1. Marginally suitable regions had an air temperature between 22 and 27 °C and precipitation less than 800 mm.y-1. Unsuitable regions had air temperature less than 22 °C or greater than 27 °C. A geographic information system was used for the spatial interpolation of air temperature and precipitation for all meteorological stations using kriging. The agroclimatic zoning of annatto crops for Minas Gerais was obtained by interpolating the two maps, air temperature and precipitation. Minas Gerais has great potential for urucum production, and agroclimatic zoning enabled the classification of regions by climatic suitability. The northern, western, northwestern, and part of the eastern regions of Minas Gerais have favourable climates suitable for the cultivation of B. orellana.

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          A preliminary statistical study on the basic mine valuation problems at Kolar goldfields Mysore state (India)

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            Application of the Köppen classification for climatic zoning in the state of Minas Gerais, Brazil

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              Traditional Uses, Chemical Constituents, and Biological Activities of Bixa orellana L.: A Review

              Bixa orellana L., popularly known as “urucum,” has been used by indigenous communities in Brazil and other tropical countries for several biological applications, which indicates its potential use as an active ingredient in pharmaceutical products. The aim of this work was to report the main evidence found in the literature, concerning the ethnopharmacology, the biological activity, and the phytochemistry studies related to Bixa orellana L. Therefore, this work comprises a systematic review about the use of Bixa orellana in the American continent and analysis of the data collected. This study shows the well-characterized pharmacological actions that may be considered relevant for the future development of an innovative therapeutic agent.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                brag
                Bragantia
                Bragantia
                Instituto Agronômico de Campinas (Campinas, SP, Brazil )
                0006-8705
                1678-4499
                December 2017
                : 77
                : 1
                : 193-200
                Affiliations
                [01] Jaboticabal orgnameUniversidade Estadual Paulista orgdiv1Faculdade de Ciências Agrárias e Veterinárias orgdiv2Departamento de Ciências Exatas Brazil
                Article
                S0006-87052018000100193
                10.1590/1678-4499.2016527
                7db7b26c-8518-4cb4-a610-70ab10670290

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 26 October 2016
                : 21 March 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 34, Pages: 8
                Product

                SciELO Brazil


                climatic risk,Bixa orellana L.,agrometeorology,climatic modeling

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