Citas bibligráficas
Quispe, W., (2023). Caracterización de accesiones de maíces originarias de la región lima conservados en el banco de germoplasma de maíz (Zea mays L.) [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/6081
Quispe, W., Caracterización de accesiones de maíces originarias de la región lima conservados en el banco de germoplasma de maíz (Zea mays L.) []. PE: Universidad Nacional Agraria La Molina; 2023. https://hdl.handle.net/20.500.12996/6081
@misc{renati/245759,
title = "Caracterización de accesiones de maíces originarias de la región lima conservados en el banco de germoplasma de maíz (Zea mays L.)",
author = "Quispe Trujillo, Wendy Alejandra",
publisher = "Universidad Nacional Agraria La Molina",
year = "2023"
}
The present research work was carried out in the evaluation Field “Vivero Forestal UNALM“, located at 234 meters above sea level. The genetic material consists of a sample of 33 maize accessions collected from the Lima region and conserved in the Germplasm Bank of the Maize Research and Social Projection Program. The general objective was to characterize the material under study and the specific objective was to verify the viability of the seeds, establish the most effective variables for their grouping and identify the maize races of each accession according to the data collected from the morphological descriptors. Twenty-four morphological characters were selected from the CIMMYT-IBPGR Maize Descriptor Manual (19 quantitative and 5 qualitative). The statistical analysis included the use of box plots for each morphological descriptor, Principal Component Analysis (PCA) and Cluster Analysis, using the statistical program RStudio 4.2.3. The PCA allowed us to transform the original qualitative variables: days to male and female flowering, plant and ear height, panicle length, stem diameter, leaf width and length, number of leaves per plant, 100 kernel weight, weight of dry corncob, weight of ear, ear length and diameter, number of kernels per row, kernel width, length and thickness; into a new set of seven principal components, which explained 34. 86 percent of the existing accumulated variance and were the basis for the Cluster Analysis. The cluster allowed classifying the accessions in three groups at a taxonomic distance of 10.9. The variability of the samples of each accession was determined, detecting the presence of three typical maize races: Perla, Chancayano and Pardo.
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