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• W2185693735 abstract "Spatial variability is inherent in all field trials. The selection efficiency of the most desirable safflower genotypes can be improved by identifying the underlying spatial patterns in field trials and by incorporating these into the statistical analysis. The main objective of this study was to evaluate the grain yield stability of 25 safflower lines after adjustment for spatial variability across a series of simple lattice designed trials at five research stations over a three years period. There was spatial variability in 50% of the trials. For most of the environments tested in this study, the use of complete blocks to account for variability was more efficient than incomplete blocks. Three types of spatial analysis were effective in accounting for variability: 1) randomized complete block design with first order auto-correlated errors along rows, 2) lattice design with correlated errors along rows as well as columns and 3) randomized complete block design with first order autocorrelated errors in plots along rows and along columns. Two genotypes (287 and 79-299) had the best stability, using the environmental coefficient of variation. However, these were also amongst those with the lowest yields. Yet, when the regression coefficient (b) on the basis of best linear unbiased estimates of grain yield was used, genotypes 367 and PI250596 were the most stable. It is recommended that first a best model be identified to describe the spatial variation in data, followed by evaluation of the genotypes based on that model." @default.
• W2185693735 created "2016-06-24" @default.
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• W2185693735 date "2007-01-01" @default.
• W2185693735 modified "2023-09-24" @default.
• W2185693735 title "Stability analysis of safflower (Carthamus tinctorius L.) lines adaptability in dryland conditions in Iran Análisis de estabilidad de la adaptabilidad de líneas de cártamo (Carthamus tinctorius L.) a condiciones de secano en Irán" @default.
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