Cluster Analysis of Agronomic Traits in Chickpea Genotypes under Cool Upland Semi-arid Region

Naser Sabaghnia; Fariborz Shekari; Mojtaba Nouraein; Mohsen  Janmohammadi

doi:10.56093/aaz.v64i1.159002

Authors

Naser Sabaghnia University of Maragheh, Iran
Fariborz Shekari University of Maragheh, Iran
Mojtaba Nouraein University of Maragheh, Iran
Mohsen Janmohammadi University of Maragheh, Iran

https://doi.org/10.56093/aaz.v64i1.159002

Keywords:

Cluster analysis, chick pea, rainfed, semi-arid area, seed yield, yield components

Abstract

This study was conducted to evaluate the genetic diversity among 50 chickpea lines grown in a randomized complete block design with three replications. The days to flower initiation, canopy width, days to maturity, plant height, chlorophyll content, ground coverage, number of subsidiary branches, the first pod height from the ground, number of pods per plant, pod weight per plant, shuck weight per plant, plant fresh weight, number of seeds per pod, number of unfilled pods per plant, protein percent, plant dry weight, hundred seed weight and seed yield were recorded. The coefficient of variation was high for chlorophyll content, ground coverage, number of subsidiary branches, first pod height from ground, number of pods per plant, number of seeds per pods, number unfilled pods , canopy width and seed yield. The chickpea traits were grouped into three groups; Cluster-I is seed yield while Cluster-II consists of chlorophyll content, ground coverage, days to flower initiation, dry matter and hundred seed weight and the other remained traits were grouped as Cluster-III. The cutoff point divided the dendrogram of chickpea genotypes into four clusters, Cluster-A, Cluster-B, Cluster- C and Cluster-D consisted of 16, 4, 11 and 19 genotypes. Four genotypes of Cluster-B namely FLIP09-228C-S00794(30 KR)-2/, TDS-Maragheh90-90, TDS-Maragheh90-373 and TDS-Maragheh90-266 based on high mean yield, high numbers of seeds and pods per plant were identified as good candidates for commercial release and can be advised for cultivation

Downloads

Download data is not yet available.

References

Amiri, S.R., Deihimfard, R. and Eyni-Nargeseh, H. 2020. Toward dormant seeding of rainfed chickpea as an adaptation strategy to sustain productivity in response to changing climate. Field Crops Research 247: 107674. https://doi. org/10.1016/j.fcr.2019.107674.

Aswathi, A.P., Raghav, S.B. and Prasath, D. 2023. Assessment of genetic variation in turmeric (Curcuma longa L.) varieties based on morphological and molecular characterization. Genetic Resources and Crop Evolution 70(1): 147-158. https://doi.org/10.20546/ijcmas.2018.712.401.

Babbar, A. and Tiwari, A. 2018. Assessment of genetic variability and yield stability in chickpea genotypes under diverse environments. International Journal of Current Microbiology and Applied Sciences 7(12): 3544-54. https://doi. org/10.1007/s10722-022-01417-3

FAOSTAT 2022. Food and Agricultural Organization of the United Nations. http://faostat.fao.org Accessed on: October 26, 2024.

González-Paleo, L., Vilela, A.E. and Ravetta, D.A. 2016. Back to perennials: Does selection enhance tradeoffs between yield and longevity? Industrial Crops and Products 91: 272-278. https://doi. org/10.1016/j.indcrop.2016.07.018

Kheyruri, Y., Neshat, A., Sharafati, A. and Hameed, A.S. 2024. Identifying the most effective climate parameters on crop yield in rain-fed agriculture and irrigated farming in Iran. Physics and Chemistry of the Earth, Parts A/B/C 136: 103744. https://doi.org/10.1016/j.pce.2024.103744

Kanouni, H., Shahab, M.R. Imtiaz, M. and Khalili, M. 2012. Genetic variation in drought tolerance in chickpea (Cicer arietinum L.) genotypes. Crop Breeding Journal 2(2): 133-138. https://doi. org/10.22092/cbj.2012.100433.

Kebede, E. 2021. Contribution, utilization, and improvement of legumes-driven biological nitrogen fixation in agricultural systems. Frontiers in Sustainable Food Systems 5: 767998. https://doi.org/10.3389/fsufs.2021.767998.

Kakaei, M., Moosavi, S.S., Abdollahi, M.R. and Farshadfar E. 2015. Grain yield, its components, genetic diversity and heritability in chickpea (Cicer arietinum L.). Journal of CROP Production and Processing 5(16): 271-281. https://doi. org/10.18869/acadpub.jc5.16.271

Kheiri, M., Kambouzia, J., Deihimfard, R., Movahhed Moghaddam, S., Anvari, S., 2021. Assessing the response of dryland barley yield to climate variability in semi-arid regions, Iran. Journal of Arid Land 13(9): 905-917.

Nabati, J., Mirmiran, S.M., Yousefi, A., Zare Mehrjerdi, M., Ahmadi‐Lahijani, M.J. and Nezami, A. 2023. Identification of diverse agronomic traits in chickpea (Cicer arietinum L.) germplasm lines to use in crop improvement. Legume Science 5(2): e167. https://doi.org/10.1002/leg3.167

Nie, D.H., Peng, L., Wang, X. and Ji, L. 2015. Genetic diversity of agronomic traits in chickpea (Cicer arietinum L.) germplasm resources. Journal of Plant Genetic Resources 16(1): 64-70. https://doi. org/10.13430/j.cnki.jpgr.2015.01.010

Pushpavalli, R., Zaman-Allah, M., Turner, N.C., Baddam, R., Rao, M.V. and Vadez, V. 2014. Higher flower and seed number leads to higher yield under water stress conditions imposed during reproduction in chickpea. Functional Plant Biology 42(2): 162-174. https://doi.org/10.1071/ FP14135

Rao, S., Armstrong, R., Silva-Perez, V., Tefera, A.T. and Rosewarne, G.M. 2021. Pulse root ideotype for water stress in temperate cropping system. Plants 10(4): 692. https://doi.org/10.3390/ plants10040692

Rezaeinia, M., Bihamta, M.R., Peyghambari, S.A., Abbasi, A. and Gharajedaghi, F. 2017. Genetic diversity and relationships between some agronomic traits of chickpea genotypes (Cicer arietinum L.) under non-stress and terminal drought stress conditions. Iranian Journal Pulses Research 8(1): 83-96. https://doi.org/10.22067/ ijpr.v8i1.48717

Richards, M.F., Maphosa, L. and Preston, A.L. 2022. Impact of sowing time on chickpea (Cicer arietinum L.) biomass accumulation and yield. Agronomy 12(1): 160. https://doi.org/10.3390/ agronomy12010160

Salgotra, S.K. 2016. Association studies for seed yield and its attributing traits in desi chickpea (Cicer arietinum L.) varieties. Legume Genomics and Genetics 7(3): 1-6. https://doi.org/10.5376/ lgg.2016.07.0003

Singh, M., Malhotra, N. and Singh, K. 2021. Broadening the genetic base of cultivated chickpea following introgression of wild Cicer species-progress, constraints and prospects. Genetic Resources and Crop Evolution 68(6): 2181-2205. https://doi.org/10.1007/s10722-021- 01173-w

Soltani, A. and Sinclair, T.R. 2011. A simple model for chickpea development, growth and yield. Field Crops Research 124(2): 252-260. https://doi. org/10.1016/j.fcr.2011.06.021

Swarup, S., Cargill, E.J., Crosby, K., Flagel, L., Kniskern, J. and Glenn, K.C. 2021. Genetic diversity is indispensable for plant breeding to improve crops. Crop Science 61(2): 839-852. https://doi.org/10.1002/csc2.20377

Toker, C. and Ilhan CAGIRGAN, M. 2004. The use of phenotypic correlations and factor analysis in determining characters for grain yield selection in chickpea (Cicer arietinum L.). Hereditas, 140(3): 226-228. https://doi.org/10.1111/j.1601- 5223.2004.01781.x

Zhang, H., Mittal, N., Leamy, L.J., Barazani, O. and Song, B.H. 2017. Back into the wild—Apply untapped genetic diversity of wild relatives for crop improvement. Evolutionary Applications, 10(1), 5-24. https://doi.org/DOI: 10.1111/ eva.12434