Determining the Selection Criteria for Grain Yield of Cluster Bean in Mediterranean Conditions

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dc.contributor.authorKara, Rukiye
dc.contributor.authorAkçura, Mevlüt
dc.date.accessioned2025-01-27T19:30:44Z
dc.date.available2025-01-27T19:30:44Z
dc.date.issued2021
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractDue to its versatile usage area, cluster bean is one of the crops on which many adaptation studies have been carried out in different countries in recent years. This research was conducted to determine selection criteria to increase the grain yield in the different locations of the Mediterranean climate in Turkey. The research was established in four different locations with nine cluster bean genotypes with three replications in a 9x10 rectangular lattice experimental design. Seventeen quantitative traits were examined. Correlation, factor, biplot, regression, and path analysis were used to create selection criteria to select genotypes with high grain yields in cluster beans. According to correlation analysis, there were positive and significant correlations between grain yield and number of pods per plant (NPP), the number of seeds per plant (NSP), grain yield per plant (GYP), number of clusters per plant (NCP), the 45th -day of plant height (45PH), 90th -day of plant height (90PH). Significant negative correlations were found between grain yield and pod width (WP), pod length (LP), and the number of grains per pod (NGP). According to the results of both factor and biplot analysis, seventeen traits were reduced to four factors, and factors explained 78.25% of the total variation. The most important factor group was composed of NPP, GY, NSP, NCP, and GYP with an explanation rate of 38.81%. Path analysis explained 76% of the grain yield. This method showed that the plant grain yield (P = 0.81) and the number of clusters in the plant (P = 0.25) had the highest direct effect on grain yield. Regression analysis results were also like path analysis. In the regression analysis were grain yield was the dependent variable, the plant grain yield (10.811) and the number of clusters in the plant (3.11) had the highest B value. The total disclosure rate of these two traits in Collinearity statistics was 93%. The results of all methods indicated that in the breeding programs to be established to increase the grain yield of cluster bean in the Mediterranean climate, selection on the seed yield of the plant and the number of pods in the cluster directly, according to the number of clusters in the plant indirectly will enable the breeders to reach their goals.
dc.identifier.doi10.30910/turkjans.995116
dc.identifier.endpage994
dc.identifier.issn2148-3647
dc.identifier.issue4
dc.identifier.startpage983
dc.identifier.trdizinid489349
dc.identifier.urihttps://doi.org/10.30910/turkjans.995116
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/489349
dc.identifier.urihttps://hdl.handle.net/20.500.12428/16235
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTürk Tarım ve Doğa Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TRD_20250125
dc.subjectBahçe Bitkileri
dc.subjectTarımsal Ekonomi ve Politika
dc.subjectZiraat Mühendisliği
dc.titleDetermining the Selection Criteria for Grain Yield of Cluster Bean in Mediterranean Conditions
dc.typeArticle

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