Published

2015-05-01

Assessment of yield stability in sugarcane genotypes using non-parametric methods

Evaluación de la estabilidad del rendimiento en genotipos de caña de azúcar mediante métodos no paramétricos

DOI:

https://doi.org/10.15446/agron.colomb.v33n2.49324

Keywords:

adaptability, genotype × environment interaction, Saccharum sp., dynamic stability, static stability (en)
adaptabilidad, interacción genotipo × ambiente, Saccharum sp., estabilidad dinámica, estabilidad estática (es)

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Authors

  • Ramón Rea Fundacion Instituto de Estudios Avanzados (IDEA) - Area of Agriculture and Food Sovereignty
  • Orlando De Sousa-Vieira Instituto Nacional de Investigaciones Agrícolas (INIA) - Department of Sugarcane - Local Station Yaracuy
  • Alida Díaz Instituto Nacional de Investigaciones Agrícolas (INIA) - Department of Sugarcane - Local Station Yaracuy
  • Miguel Ramón Instituto Nacional de Investigaciones Agrícolas (INIA) - Department of Sugarcane - Local Station Portuguesa
  • Rosaura Briceño Instituto Nacional de Investigaciones Agrícolas (INIA) - Department of Sugarcane - Local Station Yaracuy
  • José George Instituto Nacional de Investigaciones Agrícolas (INIA) - Department of Sugarcane - Local Station Yaracuy
  • Jhonny Demey Escuela Superior Politécnica del Litoral (ESPOL) - Faculty of Natural Sciences and Mathematics
The evaluation of performance stability and high yields is essential for yield trials in different environments. This study was carried out to identifysugarcane genotypesthat have both a high mean cane yield, mesured in tons of cane per hectare (TCH), and stability across seven different environments, using 11 non-parametric statistical methods: Si(1), Si(2), Si(3), Si(6), NPI(1), NPI(2), NPI(3), NPI(4), RS, TOP and DE. The data came from acane yield of 20 genotypes, as measured at seven locations over three crop-years in the sugarcane regional trials of the Instituto Nacional de Investigaciones Agrícolas (INIA) of Venezuela. The genotypes V99-213, V99-236 and V00-50 showed promising yields and stability according to all of the non-parametric statistics. The TCH presented a positive association with the TOP, NPI(2), NPI(3) and Si(6) statistics. The analysis distinguished two groups of statistics using a principal component analysis (PCA). The first group (G1) was composed of the TOP, NPI(4), NPI(2), NPI(3), Si(3) and Si(6) statistics, which were located under the concept of dynamic or agronomic stability because they are associated with yield. The other group (G2) was composed of the NPI(1), Si(1), Si(2), DE and RS statistics, which fell within the static or biological stability concept.
La evaluación de la estabilidad y el alto rendimiento es esencial en los ensayos varietales de caña de azúcar conducidos en diferentes ambientes. Este trabajo fue realizado con el objeto de identificar genotipos de caña de azúcar de alto rendimiento, medido en toneladas de caña por hectárea (TCH), y estables en siete diferentes ambientes mediante el uso de 11 métodos estadísticos no paramétricos: Si(1), Si(2), Si(3), Si(6), NPI(1), NPI(2), NPI(3), NPI(4), RS, TOP y DE. Los datos provienen del rendimiento en caña de 20 genotipos medido en siete localidades durante tres años en los ensayos regionales del Instituto Nacional de Investigaciones Agrícolas (INIA) de Venezuela. Los genotipos V99-213, V99-236 y V00-50 mostraron ser promisorio por su rendimiento y estabilidad de acuerdo a todos los estadísticos no paramétricos. TCH presentó asociación positiva con los estadísticos TOP, NPI(2), NPI(3) y Si(6). El análisis de componentes principales (CP) distinguió dos grupos. El primer grupo (G1) formado por los estadísticos TOP, NPI(4), NPI(2), NPI(3), Si(3) y Si(6) que se encuentran bajo el concepto de estabilidad dinámica o agronómica puesto que están asociados con el rendimiento. El otro grupo (G2) formado por NPI(1), Si(1), Si(2), DE y RS que ubican dentro del concepto de estabilidad estática o biológica.

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