Grain Yield of Dual-Purpose Barley Genotypes Estimated by AMMI, BLUP and Non-Parametric measures after One Cut

Ajay Verma*, RPS Verma, J Singh, Lokendra Kumar and Gyanendra Pratap Singh

Published: June 24, 2022

DOI: 10.55162/MCAES.03.048

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Abstract  

AMMI analysis evaluated the total variations in genotypic yield values across the environments and partied the total variations into various components to assess their significance. Environments, GxE interactions, and genotypes effects were highly significant with 69.4%, 24.1%, 3.4% respectively. IPCA-5 favored G11, G6, G8 as per IPCA-6 genotypes would be G5, G4, G17 while IPCA-7 pointed towards G3, G20, G4. First two AMMI components totalled 57.6% and ASV1 & ASV measures recommended (G4, G20, G15). MASV1 & MASV measures considered 98.5% total of seven Interaction principal components and identified G15, G9, G6 genotypes. G21, G17, G10 would be of consistent yield as per least values of standard deviation whereas CV identified G6, G10, G17 genotypes. Non parametric measures S_i ^s selected G15, G13, G9 whereas non parametric composite measures selected G15, G13, G20, G16. Biplot analysis observed S_i ¹, S_i ², S_i ³, S_i ⁴, S_i ⁵, S_{i ⁶}, S_i ⁷, ASV, ASV1, MASV, MASV1 NP_i ⁽¹⁾, NP_i ⁽³⁾, NP_i ⁽⁴⁾ accounted more in first principal component whereas Mean of genotypic yield, Average of BLUP of genotypic yield, PC1, GM, HM , HMPRVG, PRVG, were major contributors for second principal component. AMMI based measures ASV, ASV1, MASV, MASV1 clustered with S_i ⁶, S_i ⁷ in first quadrant. Out of two, first comprised of IPC3, IPC6, IPC7 measures while next one consisted of BLUP based measures with mean yield and IPC1. Measures NP_i ⁽²⁾, NP_i ⁽³⁾, NP_i ⁽⁴⁾ formed a cluster with Stdev, CV as this cluster observed adjacent to cluster of MASV1, NP_i ⁽¹⁾, S_i ¹, S_i ⁴S_i ², S_i ⁵ in same quadrant.