International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Special Issue 4

Assessment of stability and genotype-by-environment interactions in the grain yield of pearl millet [Pennisetum glaucum (L.) R.Br.]


Author(s): Alok Shrivastava, SB Kanzariya, KG Modha, YA Garde, Nitin Varshney and PK Parmar

Abstract:
Genotype by environment interaction (GEI) markedly influences the success of breeding strategies in versatile crops. Genotype environment interaction and stability performance were investigated on grain yield of Pearl Millet [Pennisetum glaucum (L.) R.Br.] in four environments (E1, E2, E3 and E4) during Kharif season of the year 2020-21 using 23 genotypes along with one standard check. The main objective of this study is to quantify and evaluate the effects of genotypes, environments and their interactions for the grain yield of pearl millet genotypes and to identify stable and/or high-yielding genotypes. Secondary data has been collected from the Main Pearl millet research station, Jamnagar, Junagadh Agricultural University, Gujarat. Statistical analysis is performed by Randomized Complete Block Design (RCBD) with three replications under four different environments. It has been found from the results that GEI was significant (p<0.01) for yield. Additive main effect and multiplicative interaction (AMMI) analysis was performed to identify stable genotypes. Our results showed that based on the AMMI biplot graph, the genotype GHB 1231(G5) was recorded highest-yielding genotype and the most stable genotypes were GHB 1225 (G4) and GHB 1240 (G10).


Pages: 657-661 | Views: 191 | Downloads: 26

Download Full Article: Click Here
How to cite this article:
Alok Shrivastava, SB Kanzariya, KG Modha, YA Garde, Nitin Varshney, PK Parmar. Assessment of stability and genotype-by-environment interactions in the grain yield of pearl millet [Pennisetum glaucum (L.) R.Br.]. Int J Stat Appl Math 2023;8(4S):657-661.

Call for book chapter
International Journal of Statistics and Applied Mathematics