Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Agroecological Aptitude of the North of the Province of Formosa (Argentinian Subtropical Region) for Banana Production

Version 1 : Received: 21 November 2023 / Approved: 22 November 2023 / Online: 23 November 2023 (17:29:46 CET)

How to cite: Del Medico, A. P.; Vitelleschi, M. S.; Lavalle, A. L.; Tenaglia, G. C.; Pratta, G. R. Agroecological Aptitude of the North of the Province of Formosa (Argentinian Subtropical Region) for Banana Production. Preprints 2023, 2023111431. https://doi.org/10.20944/preprints202311.1431.v1 Del Medico, A. P.; Vitelleschi, M. S.; Lavalle, A. L.; Tenaglia, G. C.; Pratta, G. R. Agroecological Aptitude of the North of the Province of Formosa (Argentinian Subtropical Region) for Banana Production. Preprints 2023, 2023111431. https://doi.org/10.20944/preprints202311.1431.v1

Abstract

Banana (Musa spp.) is an important crop to the economies of many developing countries. In the north of Argentina, a sub-tropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production, through the behavior of three varieties of international use: Willians, Jafa and Gran Enano, evaluated during five consecutive campaigns. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating varieties’ performances across cycles of production. The results allowed inferring the existence of genotype x environment (GEI) interaction, corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affects the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure among traits contributing to the performance of each variety at each campaign. The correlation structures between variables were different in each population and varied among campaigns. All traits showed a great variation across years and genotypes, the fruit peel thickness being the most discrepant throughout the campaigns. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because varieties’ performances were acceptable for large scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of GEI, this research makes a methodological contribution by proposing the use of three-way data analysis MFA and DMFA in Agronomy Science.

Keywords

new crops introduction; multiple factor analysis; dual multiple factor analysis; genotype by environment interaction

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.