Author:
NAGARAJA T E,Nandini C.,Bhat Sujata,Parveen S Gazala,. Prabhakar
Abstract
The identification of superior and stable genotypes in any crop for commercial cultivation in farmers’ fields is constrained majorly by the existence of genotype × environment interaction (GEI). The current study aimed to assess the patterns of GEI governing seed and fodder yield, identify stable and high seed and fodder yielding genotypes, besides deciphering the correlation among the them in finger millet genotypes evaluated across twenty environments (ten locations-two years combination) in India. The results revealed that the variance due to genotype, environment and GEI were highly significant (P < 0.001) for seed and fodder yield. The AMMI8 model was adequate to explain the detected variation of seed and fodder yield attributable to GEI. For obvious reasons, the check GPU 67 exhibited relatively higher mean seed and fodder yield and also showed excellent stability across all the environments based on AMMI- and BLUP-model indices. In this study, the seed and fodder yielding ability of the genotypes VR1101 and WN559 was comparable to the checks and had broad adaptation across the test environments. The most representative and discriminative environments for seed and fodder yield were E1 and E9. Seed and fodder yield revealed highly significant positive correlations indicating the possibility of effective selection for these two traits simultaneously. The identified stable and high seed and fodder yielding genotypes VR1101 and WN559 are not just worthy genetic resources, and can be recommended for commercial cultivation after further yield trials. Consequently, the genotype VR1101 is approved for commercial cultivation across South Indian states.
Publisher
The Indian Society of Genetics and Plant Breeding
Reference42 articles.
1. Adugna A., Tesso T., Degu E., Tadesse T., Merga F. and Legesse F. 2011. Genotype-by-environment interaction and yield stability analysis in finger millet (Eleucine coracana L. Gaertn) in Ethiopia. American Journal of Plant Science 2:408–415 doi: 10.4236/ajps.2011.23046
2. Ajay B. C., Aravind J. and Abdul Fiyaz R. 2018. Ammistability: additive main effects and multiplicative interaction model stability parameters. https://CRAN.R-project.org/package=ammistability
3. ASSOCHAM. 2021. The Knowledge Paper on ‘Millets 2021: Status & Way Forward’. The Associated Chambers of Commerce and Industry of India (ASSOCHAM) associated with Indian Institute of Millet Research And Nutria- Hub. New Delhi: ASSOCHAM.
4. Badu-Apraku B., Oyekunle M., Obeng-Antwi K., Osuman A., Ado S., Coulibay N., Yallou N., Abdulai CG., Boakyewaa M. and Didjeira G. A. 2012. Performance of extra-early maize cultivars based on GGE-biplot and AMMI analysis. The journal of agricultural science 150:473–483.
5. Bartlett M. S. 1937. Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences 160 (901):268-82.
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