Integrating different stability models to investigate genotype × environment interactions and identify stable and high-yielding barley genotypes
Autor: | Rahmatolah Mohammadi, Alireza Pour-Aboughadareh, Behrouz Vaezi, Tahmasb Hosseinpour, Soraya Ghasemi, Kadambot H. M. Siddique, Ehsan Koohkan, Asghar Mehraban, Hoda Moradkhani |
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Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
0301 basic medicine Biplot Randomized block design Plant Science Horticulture Biology Interaction 01 natural sciences Crop 03 medical and health sciences 030104 developmental biology Statistics Principal component analysis Genetics Main effect Gene–environment interaction Agronomy and Crop Science 010606 plant biology & botany Rank correlation |
Zdroj: | Euphytica. 215 |
ISSN: | 1573-5060 0014-2336 |
Popis: | Barley is the fourth largest grain crop globally with varieties suited to temperate, subarctic, and subtropical areas. The identification and subsequent selection of superior varieties are complicated by genotype-by-environment interactions. The main objective of this study was to use parametric and non-parametric stability measures along with a GGE biplot model to identify high-yielding stable barley genotypes in Iran. Eighteen barley genotypes (16 new genotypes and two control varieties) were evaluated in a randomized complete block design with four replications at five locations over three growing seasons (2013–2014, 2014–2015, 2015–2016). The combined analysis of variance indicated that the environment main effect accounted for > 69% of all variation, compared with |
Databáze: | OpenAIRE |
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