Identification of stable genotypes for grain yield and its components in mungbean (Vigna radiata)
281 / 232
Authors
-
SANJEEV KUMAR
SKUAST Jammu
-
H K CHOUDHARY
CSKHPKV Palampur
-
ANJANI KUMAR SINGH
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Samba, Jammu & Kashmir 181 133, India
Keywords:
AMMI analysis, GEI, principle components, stability, Vigna radiata L and yieldAbstract
The present study was conducted at the experimental farm of Advanced Centre for Rainfed Agriculture (ACRA)
Dhiansar of SKUAST- Jammu during rainy (kharif) season 2016, 2017 and 2018 for identification of most stable
mungbean (Vigna radiata L.) genotypes in diverse environments (E1, E2 and E3). Genotype Pusa Vishal exhibited
regression coefficient equal to unity (b=0) with non-significant deviation from regression coefficient and hence showed wider adaptability under poor or good environments. Genotype EC520016 showed earliness in maturity with wider adaptability. Environmental indices indicated that environment E2 and E3 were most favourable for yield and majority of yield attributing traits whereas E3 alone was important for seed yield per plant. Based on AMMI models, G9, G1, G3, G4 and G8 exhibited higher IPCA scores coupled with high population mean in E3. On the basis of AMMI2, G12 and G22 exhibited high IPCA1 in E3 and G6, G17 and G9 exhibited high IPCA2 in the same environment. G3, G18 and G19 were present very close to centre point and were least affected by G×E interactions and their performance was not affected by harsh environments and G4, G18 and G22 were present away from the point of centre and were more affected by G × E interactions and not stable in performance. Hence, the selected genotypes may be utilized in Vigna radiata (L.) improvement programme at targeted environments with true type of breeding lines.
Downloads
References
Comstock R E and Moll R H. 1963. Genotype × environmentinteraction. Statistical Genetics and Plant Breeding, pp. 174–96. NAS-NRG.
Eberhart S A and Russell W A 1966. Stability parameters for comparing varieties. Crop Science 6: 36–40. DOI: https://doi.org/10.2135/cropsci1966.0011183X000600010011x
Finlay K W and Wilkinson G N. 1963. The analysis of adaptation in a plant breeding programme. Australian Journal of Agricultural Research 14: 742–54. DOI: https://doi.org/10.1071/AR9630742
Jeelani K M and Choure T. 2015. Present status and future prospectus of agriculture in Jammu and Kashmir. Journal of Humanity and Social Science 20(11): 62–67.
Kumar S and Singh P. 2017. Stability by Additive Main Multiplicative Interaction (AMMI) model & genetic diversity studies in micro and macro-sperma lentil (Lens culinaris L.) in mid hills of Jammu and Kashmir, India. Legume Research 40(4): 635–38. DOI: https://doi.org/10.18805/lr.v0i0.7595
Kumar S, Khar S, Sharma M and Singh P. 2014. Stability analysis for seed yield attributing traits in chickpea (Cicer arietinium L.) under Mid Hills of J&K. Legume Research 37(5): 552–55. DOI: https://doi.org/10.5958/0976-0571.2014.00675.4
Kumar S, Sharma J P, Kumar A, Choudhary H K, Singh A P, Sandhu R, Gupta R, Singh M and Singh A K. 2020a. Genotype × environments interactions for grain yield and its components in urdbean (Vigna mungo L. Wilczek) under rainfed conditions of Jammu region. Indian Journal of Genetics 80(2): 194–203. DOI: https://doi.org/10.31742/IJGPB.80.2.10
Kumar S, Sharma J P, Kumar A, Choudhary H K, Singh A P, Sandhu R, Gupta R, Singh M and Singh A K. 2020b. Study on genotype x environment interactions and AMMI analysis for agronomic traits in mungbean (Vigna radiata L. Wilczek.) under rainfed conditions. Indian Journal of Genetics 80(3): 354–58. DOI: https://doi.org/10.31742/IJGPB.80.3.19
Kumar S, Singh P and Sharma M. 2017. Genetic divergence and stability (AMMI) study in desi chickpea (Cicer arietinum L.) under North Western Himalayas of Jammu and Kashmir, India. Legume Research 40(5): 842–45. DOI: https://doi.org/10.18805/lr.v0iOF.8410
Lal H A, Muhammad K, Muhammad A and Tariq A. 2010. Stability analysis for grain yield in mungbean (Vigna radiate L. Wilczyek) grown in different agro-climatic regions. Emirates Journal of Food Agriculture 22(6): 490–97. DOI: https://doi.org/10.9755/ejfa.v22i6.4668
Poehlman J M. 1991. The Mungbean. Oxford and IBH Publishing Co. New Delhi.
Singh C M, Mishra S B, Pandey A and Arya M. 2014. Eberhart-Russell’ and AMMI approaches of genotype by environment interaction (GEI) for yield and yield component traits in Vigna radiata L. Wilczek. International Journal of Agriculture Environmental Biotechnology 7(2): 277–92. DOI: https://doi.org/10.5958/2230-732X.2014.00245.9
Srinives P. 2006. Research direction and legume crop development. (In) Proceeding of National Legume Crop Research Conference, Rimkok Resort Hotel, Chian Rai, Thailand. pp 389.
Yan W and Kang M S. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists, 1st edn. CRC Press, Boca Raton. DOI: https://doi.org/10.1201/9781420040371
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2022 The Indian Journal of Agricultural Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.
How to Cite
