Optimizing Chickpea Yield: GGE Biplot Analysis of Sowing Seasons

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dc.contributor.authorGungor, Huseyin
dc.date.accessioned2025-10-11T20:47:36Z
dc.date.available2025-10-11T20:47:36Z
dc.date.issued2024
dc.departmentDüzce Üniversitesien_US
dc.description.abstractMaximizing chickpea production in varying environmental conditions is crucial for ensuring food security and agricultural sustainability. This study addresses this challenge by evaluating sixty-six chickpea genotypes across winter and spring sowing seasons over two years (2016-17 and 2017-18). Utilizing an Augmented Trial Design with three replications and six check varieties, the study reveals significant effects of genotype, sowing season, and their interaction on all examined traits (p <= 0.01). Notably, winter sowing season led to a substantial increase in yield, demonstrating up to a 57.1% improvement compared to spring sowing season. The first two components of principal component analysis accounted for 67% of the total variation of chickpea genotypes. In the examined traits, the lowest variation was observed in 100 seed weight, followed by seed yield. Biplot analysis, Pearson's correlation, and heatmap analysis indicated a positive association of seed yield with pod number of plant and seed number per plant, yet a negative association for plant height, first pod height and 100 seed weight. SMN56, SMN57, and SMN51 genotypes consistently performed well across both sowing and growing seasons for desired traits. Furthermore, genotypes SMN13, SMN20, SMN37, SMN38, and SMN54 excelled during spring sowing season, while Gulumser, Inci, Ayd & imath;n 92, SMN14, SMN20, and SMN39 were superior in winter. This study not only underscores the advantage of winter sowing for improved yield and other traits but also demonstrates the effectiveness of GGE biplot analysis in genotype selection, offering valuable implications for future chickpea breeding efforts.en_US
dc.identifier.doi10.7764/ijanr.v51i2.2596
dc.identifier.endpage139en_US
dc.identifier.issn2452-5731
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85203045110en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage127en_US
dc.identifier.urihttps://doi.org/10.7764/ijanr.v51i2.2596
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21449
dc.identifier.volume51en_US
dc.identifier.wosWOS:001312625300005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGungor, Huseyin
dc.language.isoenen_US
dc.publisherPontificia Univ Catolica Chile, Fac Agronomia Ingenieria Forestalen_US
dc.relation.ispartofInternational Journal of Agricultureand Natural Resourcesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectChickpea yielden_US
dc.subjectenvironment interactionen_US
dc.subjectGGE biplot analysisen_US
dc.subjectsowing seasonsen_US
dc.titleOptimizing Chickpea Yield: GGE Biplot Analysis of Sowing Seasonsen_US
dc.typeArticleen_US

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