Assessment of yield stability in sugarcane genotypes using non-parametric methods
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 environ...
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| Formato: | Artículos |
| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://repositorio.educacionsuperior.gob.ec/handle/28000/2837 |
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| Sumario: | 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 Agr?colas (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 statist |
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