Characterization of coastal and transitional Chickpea (Cicer arietinum L.) populations and evaluation of possible variable

Yıl 2022, , 346 - 357, 23.09.2022

Çetin Sayılğan , Burhan Kara

https://doi.org/10.31015/jaefs.2022.3.3

Cited By: 1

Öz

This study was conducted on 229 chickpea (Cicer arietinum L.) samples collected from coastal and transitional zones with the aim to characterize populations based on 18 qualitative characters, reveal morphological similarities and evaluate the possibility for variable reduction. An augmented experimental design was applied in the study in which a total of 229 samples and 7 control cultivars were characterized. Combined cluster analysis of the experimental material determined 2 main groups that were distributed as 14 subgroups. 131 homogeneous and 98 heterogeneous samples were determined and divided into two groups. Each group was subjected to cluster analysis and the hierarchical distance and genetic differences among the genotypes were determined. The principal component analysis demonstrated that the first 7 main components could explain 69.7% of the total variability in the population. Weighted effect of the seven principal components in explaining the total variation was determined as 20.5%, 15.3%, 7.7%, 7.2%, 6.8%, 6.3% and 5.9%, respectively.

Anahtar Kelimeler

Chickpea, correlation, landraces, pre-breeding, principal component

Destekleyen Kurum

Republic of Turkey Ministry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies (TAGEM)

Proje Numarası

TAGEM/TBAD/B/20/A07/P3/1448

Teşekkür

Authors are thankful to Republic of Turkey Ministry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies (TAGEM) about their financial supports.

Characterization of coastal and transitional chickpea (Cicer arietinum L.) populations and evaluation of possible variable

Öz

Bu araştırma, sahil ve geçit kuşağından toplanmış 229 nohut (Cicer arietinum L.) populasyonunu 18 kalitatif özelliğe göre karakterizasyonu, populasyonların morfolojik benzerliklerini ve değişkenler için boyut indirgeme durumunu incelemek amacıyla yürütülmüştür. Deneme Augmented deneme desenine göre kurulmuş, toplam 229 örnek ve 7 kontrol çeşidinin karakterizasyonu tamamlanmıştır. Tüm materyali içeren birleşik kümeleme analizinde 2 ana gurup ve bu iki ana gurubun 14 alt gurup şeklinde dağılım gösterdiği belirlenmiştir. Homojen 131 örnek ve heterojen yapıda 98 örnek belirlenerek iki guruba ayırılmıştır. Her bir gurup kendi içerisinde kümeleme analizine tabi tutulmuş ve genotiplere ait hiyerarşik uzaklık dereceleri belirlenerek farklılıkları ortaya konmuştur. Yapılan temel bileşen analizinde ilk 7 ana bileşenin populasyondaki toplam değişkenliğin %69.7’sini açıklayabildiği belirlenmiştir. İlk yedi ana bileşenin toplam varyasyonu tanımlamadaki ağırlıklı etkileri, sırası ile %20.5, %15.3, %7.7, %7.2, %6.8, %6.3 ve %5.9 olarak belirlenmişti

Anahtar Kelimeler

Nohut, korelasyon, yerel çeşit, ıslah öncesi, temel bileşen

Proje Numarası

TAGEM/TBAD/B/20/A07/P3/1448

Kaynakça

• Alkan, O. (2008). Principal component analysis and an application. Atatürk Üniversty, Master thesis, Erzurum, 125 p. Retrieved from https://atauni.edu.tr/yuklemeler/dd4cd2b2f5fe47f9a02cca8825553d10.pdf (Accessed Jun 11, 2021).
• Altınbas, M. & Sepetoglu H. (2001). Studies on the seed yield and some agronomic traits of newly developed chickpea lines under bornova condition. Journal of Agricultural Faculty of Ege University 38(2-3): 39-46. Retrieved from https://dergipark.org.tr/tr/download/article-file/58944
• Atıkyılmaz, N. & Acıkgoz, N. (2001). Characterization and preliminary evaluation of chickpeas collected from east, southeast and central Anatolia. In Report of a Working Group on Grain Legumes: Third Meeting, 129-132, 5-7 July 2001, Bioversity International, Kraków, Poland.
• Buyukozturk, Ş. (2007). Manual data analysis for the social sciences, statistics, research design and interpretation SPSS applications. 8. Ed. Ankara. Baran Puplishing.
• Cinsoy, A.S., Acıkgöz, N., Yaman, M. & Kıtıkı, A. (1991). Characterization of chickpea (Cicer arietinum L.) genetic resources material collected from the Aegean region: II-qualitative characters. Anadolu Journal of Aegean Agricultural Research Institute 7(2):14. Retrieved from https://dergipark.org.tr/tr/download/article-file/20150
• Genckan, S. (1958). Research on Major Characteristics of Turkey’s Important Chickpea Varieties. Ege University, Dep. of Field Crops publication.
• Ghaffari, P., Talebi R. & Keshavarzi, F. (2014). Genetic diversity and geographical differentiation of Iranian landrace, cultivars, and exotic chickpea lines as revealed by morphological and microsatellite markers. Physiology and Molecular Biology of Plants 20(2): 225-233. Doi: https://doi.org/10.1007/s12298-014-0223-9
• Jomová, K., Benková, M., Žáková, M., Gregová, E., & Kraic, J. (2005). Clustering of chickpea (Cicer arietinum L.) accessions, Genetic Resources and Crop Evolution 52(8):1039-1048. Doi: https://doi.org/10.1007/s10722-004-6151-8
• Kayan, N., & Adak, M.S. (2012). Associations of some characters with grain yield in chickpea (Cicer arietinum L.). Pakistan Journal of Botany 44(1): 267-272. Retrieved from http://www.pakbs.org/pjbot/PDFs/44(1)/38.pdf
• Kıral, G., & Billor, N. (2000). BACON Principle component analysis. VII. National Econometrics and Statistics Symposium, Adana. Retrieved from https://dergipark.org.tr/en/pub/cuiibfd/issue/34949/388811
• MGM, (2021). Meteorological service of Turkish State. Retrieved from https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?m=ANTALYA (Accessed October 11, 2021).
• Mohammadi, S.A., & Prasanna, B.M. (2003). Analysis of genetic diversity in crop plants salient statistical tools and considerations. Crop Science 43:1235– 1248. z, Doi: https://doi.org/10.2135/cropsci2003.1235
• Sehirali, S., & Ozgen, M. (1987). Plant genetic resources. Ankara University Agricultural Faculty Publishing, 1020, 212-213.
• Singh, K.B. (1971). Component breeding in pulse crops. Bibliography of chickpea genetics and breeding 83:146.
• Tatlıdil, H. (1992). Applied multivariate statistical analysis, Ankara, Academy Press.
• Karagul, E.T., Tas, N. Cakır Topdemir P., Aykas, L. & Hekimhan, H. (2016). Characterization of chickpea genetic sources and germplasm development for breeding purposes. TÜBİTAK-113O108:88. Retrieved from https://app.trdizin.gov.tr/publication/project/detail/TVRjMk1EWTI= (Accessed October 01, 2021).
• TÜİK, (2020). Turkish statically institute. Retrieved from https://biruni.tuik.gov.tr/medas/?kn=92andlocale=tr (Accessed December 21, 2021)
• Upadhyaya, H.D., Dwivedi S.L., Gowda, C.L. & Singh, S. (2007). Identification of diverse germplasm lines for agronomic traits in a chickpea (Cicer arietinum L.) core collection for use in crop improvement. Field Crops Research 100(2): 320-326. Doi: https://doi.org/10.1016/j.fcr.2006.08.008
• Upadhyaya, H.D., S. Sharma & Gowda, C.L. (2011). Major genes with additive effects for seed size in kabuli chickpea (Cicer arietinum L.). Journal of genetics, 90(3):479-482.
• UPOV, (2021). The international union for the protection of new varieties of plants. Retrieved from https://www.upov.int/edocs/mdocs/upov/en/tc_56/tg_143_5_proj_3.pdf (Accessed July, 21, 2021).
• Yang, T.N., & Wang, S.D. (1999). Robust Algorithms for Principal Component Analysis. Pattern Recognition Letters 20(9): 927-933.