Application of Latin square experimental design to analyze seed varieties of rice (Oryza Sativa) in The Sébaco Valley, Nicaragua

Authors

  • Rigoberto Francisco Jarquín Matamoro Facultad Regional Multidisciplinaria de Matagalpa, UNAN-Managua/FAREM-Matagalpa, Nicaragua https://orcid.org/0000-0002-8280-0823

DOI:

https://doi.org/10.5377/farem.v12i47.16861

Keywords:

Latin square experimental design, performance variables, rice

Abstract

This article deals with aspects on the application of the Latin square experimental design as a statistical tool with the objective of analyzing the significant differences between seed varieties of rice (Oryza Sativa) such as ANAR-97, INTA dorado and the new variety Línea 424 for intercycle harvesting periods, that is, short and fast cycles, without neglecting the obtaining of results in terms of yield variables. Now, the analysis of the seed varieties of the rice crop through the Latin square experimental design for the improvement of the productive efficiency, focused on a complete analysis of the agronomic changes in the preparation of the soil, sowing, application of chemical products and harvesting of the seed in rice grain in granules. This through an improvement proposal to be validated by reliable multivariate statistical tests such as Multivariate Analysis of Variance (MANOVA) and experimental designs such as Latin Square Design (LSD) as a univariate Analysis of Variance (ANOVA). The LQD was useful to detect and check the acceptable significant differences in the analysis of the chosen seed varieties vs. the improved seed, providing very noticeable improvements in the yield variables, especially a 15% increase in productive efficiency of rice in grain of 200 qq/mz in summer. Now, within the methodology is to verify differences between variance, containing their respective indicators of irrigation treatments, doses of chemicals and control of harvest parameters, in addition to the theoretical, scientific and experimental method for validation and analysis, as well as the use of the statistical program SPSS and Microsoft Excel, within the satisfactory results in the multiple range tests and its yield variables, resulted in a coefficient of variation of 4 - 6% of acceptability in the agronomic processes of the crop using multivariate statistics selected the seed variety Line 424 as one of the most ideal to obtain fast harvests in lands that have problems with red rice.

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References

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Published

2023-10-30

Issue

Section

ENVIRONMENTAL SCIENCES