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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oai:localhost:28000-28372017-04-05T21:08:26Z Assessment of yield stability in sugarcane genotypes using non-parametric methods Demey, Jhonny Rafael ADAPTABILITY GENOTYPE ? ENVIRONMENT INTERACTION SACCHARUM SP DYNAMIC STABILITY STATIC STABILITY 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 La evaluaci?n de la estabilidad y el alto rendimiento es esencial en los ensayos varietales de ca?a de az?car conducidos en diferentes ambientes. Este trabajo fue realizado con el objeto de identificar genotipos de ca?a de az?car de alto rendimiento, medido en toneladas de ca?a por hect?rea (TCH), y estables en siete diferentes ambientes mediante el uso de 11 m?todos estad?sticos no param?tricos: 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 ca?a de 20 genotipos medido en siete localidades durante tres a?os en los ensayos regionales del Instituto Nacional de Investigaciones Agr?colas (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 estad?sticos no param?tricos. TCH present? asociaci?n positiva con los estad?sticos TOP, NPI(2), NPI(3) y Si (6). El an?lisis de componentes principales (CP) distingui? dos grupos. El primer grupo (G1) formado por los estad?sticos TOP, NPI(4), NPI(2), NPI(3), Si (3) y Si (6) que se encuentran bajo el concepto de estabilidad din?mica o agron?mica puesto que est?n 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 est?tica o biol?gica. Escuela Superior Polit?cnica del Litoral http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-99652015000200002 2016-11-08T21:04:49Z 2016-11-08T21:04:49Z 2015 article Real, Ram?n. et al. (2015). ASSESSMENT OF YIELD STABILITY IN SUGARCANE GENOTYPES USING NON-PARAMETRIC METHODS. Agronom?a Colombiana. Vol. 33, N?2 pp.131-138. 0120-9965 http://repositorio.educacionsuperior.gob.ec/handle/28000/2837 eng openAccess pp.131-138. |
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Artículos |
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ADAPTABILITY GENOTYPE ? ENVIRONMENT INTERACTION SACCHARUM SP DYNAMIC STABILITY STATIC STABILITY |
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ADAPTABILITY GENOTYPE ? ENVIRONMENT INTERACTION SACCHARUM SP DYNAMIC STABILITY STATIC STABILITY Demey, Jhonny Rafael Assessment of yield stability in sugarcane genotypes using non-parametric methods |
description |
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 |
author |
Demey, Jhonny Rafael |
author_facet |
Demey, Jhonny Rafael |
author_sort |
Demey, Jhonny Rafael |
title |
Assessment of yield stability in sugarcane genotypes using non-parametric methods |
title_short |
Assessment of yield stability in sugarcane genotypes using non-parametric methods |
title_full |
Assessment of yield stability in sugarcane genotypes using non-parametric methods |
title_fullStr |
Assessment of yield stability in sugarcane genotypes using non-parametric methods |
title_full_unstemmed |
Assessment of yield stability in sugarcane genotypes using non-parametric methods |
title_sort |
assessment of yield stability in sugarcane genotypes using non-parametric methods |
publishDate |
2016 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/2837 |
_version_ |
1634995089922064384 |
score |
11,871979 |