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Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement. 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
Importance of characteristics in white açaí (Euterpe oleracea Mart.) progenies by multivariate analysis. 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. 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. 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
Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. 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

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