Literature DB >> 24221155

AMMI adjustment for statistical analysis of an international wheat yield trial.

J Crossa1, P N Fox, W H Pfeiffer, S Rajaram, H G Gauch.   

Abstract

Multilocation trials are important for the CIMMYT Bread Wheat Program in producing high-yielding, adapted lines for a wide range of environments. This study investigated procedures for improving predictive success of a yield trial, grouping environments and genotypes into homogeneous subsets, and determining the yield stability of 18 CIMMYT bread wheats evaluated at 25 locations. Additive Main effects and Multiplicative Interaction (AMMI) analysis gave more precise estimates of genotypic yields within locations than means across replicates. This precision facilitated formation by cluster analysis of more cohesive groups of genotypes and locations for biological interpretation of interactions than occurred with unadjusted means. Locations were clustered into two subsets for which genotypes with positive interactions manifested in high, stable yields were identified. The analyses highlighted superior selections with both broad and specific adaptation.

Entities:  

Year:  1991        PMID: 24221155     DOI: 10.1007/BF00226108

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  4 in total

1.  Accuracy and selection success in yield trial analyses.

Authors:  H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1989-04       Impact factor: 5.699

2.  Predictive and postdictive success of statistical analyses of yield trials.

Authors:  H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

3.  The analysis of variation between and within genotypes and environments.

Authors:  G H Freeman; B D Dowker
Journal:  Heredity (Edinb)       Date:  1973-04       Impact factor: 3.821

4.  Full and reduced models for yield trials.

Authors:  H G Gauch
Journal:  Theor Appl Genet       Date:  1990-08       Impact factor: 5.699

  4 in total
  12 in total

1.  Stability of baking quality in bread wheat using several statistical parameters.

Authors:  N Robert; J B Denis
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

2.  Integration of statistical and physiological analyses of adaptation of near-isogenic barley lines.

Authors:  I Romagosa; P N Fox; L F García Del Moral; J M Ramos; B García Del Moral; F Roca de Togores; J L Molina-Cano
Journal:  Theor Appl Genet       Date:  1993-08       Impact factor: 5.699

3.  Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments.

Authors:  M Cooper; I H Delacy
Journal:  Theor Appl Genet       Date:  1994-07       Impact factor: 5.699

4.  Best Linear Unbiased Prediction (BLUP) for regional yield trials: a comparison to additive main effects and multiplicative interaction (AMMI) analysis.

Authors:  H P Piepho
Journal:  Theor Appl Genet       Date:  1994-11       Impact factor: 5.699

5.  Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat.

Authors:  M M Nachit; G Nachit; H Ketata; H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

6.  Factor regression for interpreting genotype-environment interaction in bread-wheat trials.

Authors:  C P Baril
Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699

7.  Genetic dissection of early-season cold tolerance in sorghum: genome-wide association studies for seedling emergence and survival under field and controlled environment conditions.

Authors:  Sebastian Parra-Londono; Karin Fiedler; Mareike Kavka; Birgit Samans; Silke Wieckhorst; Arndt Zacharias; Ralf Uptmoor
Journal:  Theor Appl Genet       Date:  2017-11-16       Impact factor: 5.699

8.  Characterizing introgression-by-environment interactions using maize near isogenic lines.

Authors:  Zhi Li; Sara B Tirado; Dnyaneshwar C Kadam; Lisa Coffey; Nathan D Miller; Edgar P Spalding; Aaron J Lorenz; Natalia de Leon; Shawn M Kaeppler; Patrick S Schnable; Nathan M Springer; Candice N Hirsch
Journal:  Theor Appl Genet       Date:  2020-06-15       Impact factor: 5.699

9.  Cultivar evaluation and essential test locations identification for sugarcane breeding in China.

Authors:  Jun Luo; Yong-Bao Pan; Liping Xu; Hua Zhang; Zhaonian Yuan; Zuhu Deng; Rukai Chen; Youxiong Que
Journal:  ScientificWorldJournal       Date:  2014-05-20

10.  Biplot evaluation of test environments and identification of mega-environment for sugarcane cultivars in China.

Authors:  Jun Luo; Yong-Bao Pan; Youxiong Que; Hua Zhang; Michael Paul Grisham; Liping Xu
Journal:  Sci Rep       Date:  2015-10-22       Impact factor: 4.379

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