{rfName}
As

License and Use

Icono OpenAccess

Altmetrics

Analysis of institutional authors

Velasco, JgaAuthorSanchez, JiyAuthor

Share

April 11, 2024
Publications
>
Article

Assessing the Genotype-by-Environment GxE Interaction in Desi Chickpea via the Bayesian Additive Main Effects and Multiplicative Interaction Model

Publicated to: Agriculture (Switzerland). 14 (2): 215- - 2024-02-01 14(2), DOI: 10.3390/agriculture14020215

Authors:

Din, A; Gul, R; Khan, H; Velasco, JGA; Persa, R; Sánchez, JIY; Jarquin, D
[+]

Affiliations

Tech Univ Madrid, Dept Biotechnol Plant Biol - Author
Univ Agr, Dept Climate Change Sci - Author
Univ Agr, Dept Plant Breeding & Genet - Author
Univ Florida, Dept Agron - Author
See more

Abstract

Chickpea is the second most important legume crop in pulses, and its performance is greatly influenced by environmental factors inducing a change in the response patterns, complicating the selection of the best cultivar(s). The genotype-by-environment (GxE) patterns of a chickpea dataset (yield and days to emergence DTE) of 36 lines evaluated in 12 environments in Pakistan were assessed in this study. The interaction patterns were evaluated using the Bayesian Additive Main Effects and Multiplicative Interaction (AMMI) model. For yield, the 95% highest posterior density (HPD) regions showed that none of the genotypes (G) were found to be stable since these did not include the null point (0, 0), while for the environments, only E-8 and E-10 included the origin. In contrast, for DTE 11, genotypes included the null point being considered stable for this trait; however, none of the environments included the origin. These results suggest that considering both traits, the genotypes G2, G6, and G17 are the best genotypes across environments, while environments E-8 and E-10 were identified as favorable to all genotypes. Based on the obtained results, the abovementioned genotypes can be forwarded for further processing to be released as commercial varieties.
[+]

Keywords

AmmiBayesian ammi modelChickpea breedingGenotype-by-environment (gxe)Genotype-by-environment (g×e)Interaction patternsStabilityYield

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Agriculture (Switzerland) due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 19/129, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agronomy.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • WoS: 2
  • Scopus: 2
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 13.

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86476/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 112
  • Downloads: 28
[+]

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Pakistan; United States of America.

[+]