Common bean cultivars and lines interactions with environments
By S. Carbonell, J. A. A. Filho, L. Dias, Antonio Augusto F. Garcia, L. K. Morais. 2004
76 citations recorded by the source corpus.
The performance of bean lines brought forth in breeding programs or of cultivars in use can be affected by environmental variability. The adaptability and stability of grain yield of 18 common bean cultivars and lines in 23 environments (combinations of seasons, years and locations) were evaluated in the State of Sao Paulo, Brazil. 'IAC-Carioca' and 'IAC-Carioca Ete' were used as standard cultivars for the carioca grain type, while 'FT-Nobre' and 'IAC-Una' represented the standard for black grains. The experiment was set up in a randomized complete block design with four replications and plots consisting of two, two central five meters rows flanked by border rows. Stability parameters were estimated by the methods Maximum Yield Deviations (MYD) and by the Additive Main Effects and Multiplicative Interaction Analysis (AMMI). For the identification of the most stable cultivars, the two methods led to consistent results, although by MYD the highest stability was always associated to the highest yield. 'MAC-733327' and 'LP 9637' were the most suitable cultivars and lines for the joint seasons, while 'LP 9637' and 'FT-Nobre' were the most suitable for the dry season. The MYD method combined a simple procedure, easiness of result interpretation, uniqueness of parameters, and association between stability and yield. On the other hand, the AMMI method simplified the identification of stable cultivars by visual inspection, also providing information on the environments. However, the complex nature which combines uni-and multivariate techniques hampers its widespread use in breeding programs.
Subfields: Plant Science
View Paper: https://www.semanticscholar.org/paper/fff3d4150fcd0b75a6e93835237ed407b6fb5edd
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Citations in the corpus
- Analysis of Genotype × Environment Interaction (G×E) Using SAS Programming (2016, background): “The closer the IPC is to zero, the more stable the genotypes are across the testing environments (Carbonell et al., 2004).”
- Additive main effect and multiplicative interaction analysis of grain yield of wheat varieties in Lithuania (2006, methodology): “Basically, these biplots belong to two types: AMMI 1 and AMMI 2 (Carbonell et al., 2004).”
- Interação com ambientes e estabilidade de genótipos de feijoeiro-comum na Região Centro-Sul do Brasil (2007, background): “Na cultura do feijoeiro-comum, assim como em outras, esses métodos têm sido freqüentemente utilizados (Duarte & Zimmerman, 1991; Abreu et al., 1992; Carbonell et al., 2001, 2004).”