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Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement. Author(s): RESENDE, M. D. V. de Methods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic improvement, particularly, because it allows many traits to be evaluated simultaneously. In this s... ... Repository: BDPA Publication year: 2022
Multivariate statistical analysis for water quality assessment: a review of research published between 2001 and 2020. Author(s): MUNIZ, D. H. de F.; OLIVEIRA FILHO, E. C. de Abstract: Research on water quality is a fundamental step in supporting the maintenance of environmental and human health. The elements involved in water quality analysis are multidimensional, because... ... Repository: BDPA Publication year: 2023
Multivariate analysis of chemical and physical attributes of quartzipsamments under different agricultural uses. Author(s): SALVIANO, A. M.; GIONGO, V. The inadequate agricultural management in the semiarid region of northeastern Brazil, associated with the fragility of most soils, has caused degradation of the quality of this resource. This study ai... ... Repository: BDPA Publication year: 2019
Importance of characteristics in white açaí (Euterpe oleracea Mart.) progenies by multivariate analysis. Author(s): YOKOMIZO, G. K. I.; OLIVEIRA, M. do S. P. de The açaí (Euterpe oleracea Mart.) has an ethno-variety white characterized by the absence of anthocyanin in its epicarp, differing from violet açai. White ethno-variety is under strong anthropic press... ... Repository: BDPA Publication year: 2024
Metabolic effect of drought stress on the leaves of young oil palm (Elaeis guineensis) plants using UHPLC-MS and multivariate analysis. Author(s): RIBEIRO, J. A. de A.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T.; ABDELNUR, P. V. Abstract: The expansion of the oil palm in marginal areas can face challenges, such as water deficit, leading to an impact on palm oil production. A better understanding of the biological consequences... ... Repository: BDPA Publication year: 2021
Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis. Author(s): CAIXETA, E. T. Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal group... ... Repository: BDPA Publication year: 2021
Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification. Multivariate Curve Resolution (MCR) is a multivariate analysis procedure commonly used to analyze spectroscopic data providing the number of components coexisting in a chemical system, the pure spectr... ... Repository: BDPA Publication year: 2023
Identification of drought-tolerant corn genotypes by multivariate analysis. Author(s): BASTOS, E. A.; CARDOSO, M. J. The identification of genotypes that are tolerant to water deficit is crucial for the maintenance of the agricultural production. This study aimed to evaluate the genotypic variation for drought toler... ... Repository: BDPA Publication year: 2018
Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Author(s): RESENDE, M. D. V. de Forest plantations are strong allies in preserving natural resources, providing social and economic benefits. The plantations carried out in the coming years will be vital to meet the growing demand f... ... Repository: BDPA Publication year: 2022
Soil organic carbon determination using NIRS: evaluation of dichromate oxidation and dry combustion analysis as reference methods in multivariate calibration. Dichromate oxidation and dry combustion analysis were evaluated as reference methods to determine organic carbon in Brazilian soils using near infrared spectroscopy (NIRS) as an alternative. The main... ... Repository: BDPA Publication year: 2016

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