Literature DB >> 19937587

Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis.

M Balestre1, R G Von Pinho, J C Souza, R L Oliveira.   

Abstract

We evaluated the phenotypic and genotypic stability and adaptability of hybrids using the additive main effect and multiplicative interaction (AMMI) and genotype x genotype-environment interaction (GGE) biplot models. Starting with 10 single-cross hybrids, a complete diallel was done, resulting in 45 double-cross hybrids that were appraised in 15 locations in Southeast, Center-West and Northeast Brazil. In most cases, when the effects were considered as random (only G effects or G and GE simultaneously) in AMMI and GGE analysis, the distances between predicted values and observed values were smaller than for AMMI and GGE biplot phenotypic means; the best linear unbiased predictors of G and GE generally showed more accurate predictions in AMMI and GGE analysis. We found the GGE biplot method to be superior to the AMMI 1 graph, due to more retention of GE and G + GE in the graph analysis. However, based on cross-validation results, the GGE biplot was less accurate than the AMMI 1 graph, inferring that the quantity of GE or G + GE retained in the graph analysis alone is not a good parameter for choice of stabilities and adaptabilities when comparing AMMI and GGE analyses.

Entities:  

Mesh:

Year:  2009        PMID: 19937587     DOI: 10.4238/vol8-4gmr658

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  3 in total

1.  Environmental impact of phytic acid in Maize (Zea mays. L) genotypes for the identification of stable inbreds for low phytic acid.

Authors:  J Lydia Pramitha; G Jeeva; R Ravikesavan; A John Joel; N Kumari Vinothana; B Meenakumari; M Raveendran; D Uma; Firoz Hossain; Bhupender Kumar; Sujay Rakshit
Journal:  Physiol Mol Biol Plants       Date:  2020-06-14

2.  Stability Analysis and Heterotic Studies in Maize (Zea mays L.) Inbreds to Develop Hybrids With Low Phytic Acid and High-Quality Protein.

Authors:  J Lydia Pramitha; John Joel; Ravikesavan Rajasekaran; D Uma; Kumari Vinothana; Meenakumari Balakrishnan; K R V Sathyasheela; Raveendran Muthurajan; Firoz Hossain
Journal:  Front Plant Sci       Date:  2022-01-19       Impact factor: 5.753

3.  Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials.

Authors:  Tomoaki Hori; David Montcho; Clement Agbangla; Kaworu Ebana; Koichi Futakuchi; Hiroyoshi Iwata
Journal:  Theor Appl Genet       Date:  2016-08-19       Impact factor: 5.699

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.