Tomato yield and fruit quality, genotypical differences and stability in three agronomical environments

Authors

  • Fernando Borrego-Escalante Departamento de Fitomejoramiento. Universidad Autónoma Agraria Antonio Narro. Calzada Antonio Narro 1923, Buenavista, C.P. 25315, Saltillo, Coahuila, México.
  • Verónica G. Robles-Salazar Departamento de Fitomejoramiento. Universidad Autónoma Agraria Antonio Narro. Calzada Antonio Narro 1923, Buenavista, C.P. 25315, Saltillo, Coahuila, México.
  • María Margarita Murillo-Soto Departamento de Fitomejoramiento. Universidad Autónoma Agraria Antonio Narro. Calzada Antonio Narro 1923, Buenavista, C.P. 25315, Saltillo, Coahuila, México.
  • Alfonso López-Benítez Departamento de Fitomejoramiento. Universidad Autónoma Agraria Antonio Narro. Calzada Antonio Narro 1923, Buenavista, C.P. 25315, Saltillo, Coahuila, México.
  • Adalberto Benavides-Mendoza Departamento de Horticultura. Universidad Autónoma Agraria Antonio Narro. Calzada Antonio Narro 1923, Buenavista, C.P. 25315, Saltillo, Coahuila, México.

DOI:

https://doi.org/10.59741/agraria.v19i2.16

Keywords:

SREG, AMMI, Solanum lycopersicum L., yield, quality

Abstract

For the formation of new tomato varieties, it is necessary to evaluate the genetic materials in different environments and measure their genotype-environment interaction (GAI). Models such as site regression (SREG) and additive main effects and multiplicative interaction (AMMI) are used for the study of genotypic response patterns across environments. The objective of the project was to determine the most prominent genetic materials, in terms of performance characteristics, nutritional content and stability, with two methodologies. Also to defining which model best describes the GAI. The research work was carried at the Universidad Autónoma Agraria Antonio Narro; 21 genotypes of tomatoes established in three environments (open field, macro tunnel and greenhouse) were evaluated. The experimental design used was a randomized complete block design, with three repetitions. According to the data obtained in the combined analysis of variance, differences were obtained (P ≤ 0.01) for the GAI for performance. The genotype 23 can be considered as ideal, due to its adaptability in the three environments. For the lycopene and vitamin C content variables, genotypes 12 and 17 stood out, respectively. The most stable genotypes were: 5, 18, 26, 2 and 22. Both models coincided with these results. Both the AMMI 1 and SREG models are equally capable of describing the genotype-environment interaction, however AMMI 1 is more easily interpretable.

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References

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Published

2023-05-29

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How to Cite

Tomato yield and fruit quality, genotypical differences and stability in three agronomical environments. (2023). Agraria, 19(2), 35. https://doi.org/10.59741/agraria.v19i2.16

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