Abstract

REA, Ramón et al. Assessment of yield stability in sugarcane genotypes using non-parametric methods. Agron. colomb. [online]. 2015, vol.33, n.2, pp.131-138. ISSN 0120-9965.  https://doi.org/10.15446/agron.colomb.v33n2.49324.

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.

Keywords : adaptability; genotype × environment interaction; Saccharum sp.; dynamic stability; static stability.

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