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Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias, INIA
ISSN: 0718-5820 EISSN: 0718-5820
Vol. 79, No. 4, 2019, pp. 547-556
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Bioline Code: cj19055
Full paper language: English
Document type: Research Article
Document available free of charge
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Chilean Journal of Agricultural Research, Vol. 79, No. 4, 2019, pp. 547-556
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Repeatability and genotypic stability of agronomic characteristics in Panicum maximum Jacq.
Ferreira, Mariane Rodrigues; Martuscello, Janaina Azevedo; Braz, Thiago Gomes dos Santos; Nascimento, Artur Amaral; Jank, Liana; Assis, Juliana Aparecida de; Almeida, Otávio Goulart de; Reis, Gabriel de Assis; Santos, Márcia Vitória & Santos, Mateus Figueiredo
Abstract
In experiments with selection of perennial plants, the initial performance is expected to be maintained throughout the
productive life. The probability of repeating the agronomic response can be evaluated by the repeatability coefficient.
The objective was to estimate repeatability coefficients of agronomic characteristics in Panicum maximum Jacq. using
different methods and identify the best combinations between harvests according to the genotypic stabilization. Seventeen
genotypes were evaluated in a randomized complete block design with three replicates. The coefficients of repeatability
were estimated by the methods: ANOVA, structural analysis based on the mean of the correlation coefficients (SACOR),
analysis of principal components based on the covariance matrix (PCCOV) and correlation matrix (PCCOR). In the
genotypic stabilization, coefficients estimated by ANOVA and PCCOR were used. For total DM, repeatability coefficients
ranged from 0.3500 to 0.4300 by the ANOVA and PCCOR methods, respectively. High repeatability coefficients were
found for the characteristic leaf DM, while low coefficients were observed for leaf and stem percentages and leaf:stem ratio.
For the genotypic stabilization of total DM and leaf:stem ratio, the best coefficients were observed for the combination of
harvests 5 to 8. There are variations in the estimate of repeatability by different methods and the highest coefficients were
those of the principal components based on the correlation and covariance matrices. For the genotypic stabilization, the
best coefficients of repeatability and determination were observed for the harvests performed in the second rainy period.
Keywords
Forage; leaf:stem ratio; repeated measures.
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