Interrelationship among and repeatability of seven stability indices estimated from commercial cotton (<Emphasis Type="Italic">Gossypium hirsutum</Emphasis> L.) variety evaluation trials in three Mediterranean countries |
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Authors: | Dimitrios Baxevanos Christos Goulas Stergios Tzortzios Athanasios Mavromatis |
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Institution: | (1) School of Agricultural Sciences, Laboratory of Biometry, University of Thessaly, Volos, Greece;(2) Therimiotou 25, Gianuli Larisa, 41500, Greece;(3) School of Forestry, Laboratory of Forest Genetics and Breeding, Aristotelian University of Thessalonica, Thessaloniki, Greece;(4) School of Agricultural Sciences, Laboratory of Plant Breeding, University of Thessaly, Volos, Greece |
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Abstract: | Multi-environment trial data are required, to obtain variety stability performance parameters as selection tools for effective
cultivar evaluation. The interrelationship among seven stability parameters and their association with mean yield, along with
the repeatability of these parameters across consecutive years was the objective of this study. Cottonseed yield data of 31
cotton cultivars, proprietary of Delta and Pine Land Co and other companies, evaluated in 20 locations over the 1999–2005 year
period in Greece, Spain and Turkey were used for combined analysis of variance in four datasets. Across locations in a single
evaluation year (dataset A), across locations in each of two single consecutive evaluation year (dataset B), across locations
and two consecutive years (dataset C) and across locations and three consecutive years (dataset D). For each dataset, cultivar
phenotypic variance was appropriately partitioned in its components and the h2 and component estimated. Furthermore, following the appropriate stability analysis
and AMMI1 along with the GGE Biplot distance (GGED) and instability (GGEIN) parameters were obtained. The interrelationship
among the parameters and their association with mean yield based on Spearman rank correlation was studied in each of the seven
single evaluation years (dataset A). Rank correlation coefficients were also used as estimates of the repeatability of these
stability parameters across consecutive year combinations (dataset B, C and D). The parameters GGED and YSi were consistently highly correlated with each other and mean yield in five out of seven single evaluation years. The data
provided evidence that single year evaluation across locations might be sufficient to reliably rank cotton cultivars, based
on mean yield along with GGED and YSi. Combined analysis across two consecutive years (dataset C) was more effective as compared to single year evaluation. GGED
was relatively more repeatable than YSi and mean yield in single (dataset B) and 2-year comparisons (dataset C). Although GGED is an index depended and proportional
to yield, provides a superior way to integrate mean performance and stability into a single measure, which can be assessed
visually on biplots. Regarding the other stability parameters, the results were contradicting and of low repeatability across
single years and two consecutive years. Cultivar evaluation combined across locations in 3 years did not improve the repeatability
of cultivar variance effects but resulted in very high repeatability of GGED, YSi and mean yield. |
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Keywords: | AMMI Cotton GGE Biplot Multi-environment trails Repeatability Stability |
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