Citas bibligráficas
Bisetti, S., (2023). Caracterización morfológica de siete razas de maíz (Zea mays L.) de Cusco y Apurimac bajo condiciones de Chiquian (Ancash) [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/5865
Bisetti, S., Caracterización morfológica de siete razas de maíz (Zea mays L.) de Cusco y Apurimac bajo condiciones de Chiquian (Ancash) []. PE: Universidad Nacional Agraria La Molina; 2023. https://hdl.handle.net/20.500.12996/5865
@misc{renati/243522,
title = "Caracterización morfológica de siete razas de maíz (Zea mays L.) de Cusco y Apurimac bajo condiciones de Chiquian (Ancash)",
author = "Bisetti Rivera, Samantha Nicolle",
publisher = "Universidad Nacional Agraria La Molina",
year = "2023"
}
This research work was carried out in the district of Chiquian, in the department of Ancash, at an approximate altitude of 3000 masl. 101 accessions of starchy corn were evaluated, grouped into seven races from Cusco and Apurimac. The objectives of the work were: 1) to analyze the phenotypic variability, 2) to identify the most discriminating descriptors and 3) to determine the representative accessions of each race. For this, 23 morphological descriptors of the maize were selected, and the data obtained were subjected to a univariate and multivariate statistical analysis tools. The results show high morphological variability in the seven races. The CPA showed the most discriminant nine descriptors for starchy maize in the Peruvian highlands (female flowering, height of the cob, width of the cob, number of leaves below the cob, height of the plant, male flowering, length of the leaf, width of the leaf and the grain form). While the cluster analysis represented graphically the relationships between the accessions of different races, showing the formation of two groups and 15 subgroups at a taxonomic distance of 1.8 and 0.8 respectively. These accessions clustering were not exclusive for each race, however the accessions of the chullpi and cusco gigante races presented greater homogeneity and purity. These results are important for the sustainable management and use of Peruvian corn diversity.
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