Paper Presented at International Workshop on Increasing Wheat Yield Potential, CIMMYT, Obregon, Mexico, 20-24 March 2006: Structural equation modelling for studying genotype x environment interactions of physiological traits affecting yield in wheat

M. Vargas, J. Crossa, M. P. Reynolds, P. Dhungana, K. M. Eskridge

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12 Citations (Scopus)

Abstract

In plant physiology and breeding, it is important to understand the causes of genotype x environment interactions (GEIs) of complex traits such as grain yield. It is difficult to study the underlying sequential biological processes of such traits, their components and other intermediate traits, as well as the main environmental factors affecting those processes. The structural equation models (SEMs) used in the present study allow the external and internal factors affecting GEI of various traits and their interrelations to be accounted for. The study included 86 wheat genotypes derived from three different crosses and evaluated over 3 years. Several attributes, as well as grain yield and yield components, were measured during five crop development stages. Environmental data for the five development stages were averaged. The SEM approach facilitated comprehensive understanding of GEI effects among the different traits, and decomposed the total effects of grain yield components and cross-product covariates on grain yield GEI into direct and indirect effects. External climatic variables were related mostly to main final yield components, and only more intermediate endogenous variables, such as spikes/m2, were affected by minimum temperature and radiation in the early stages of plant development.

Original languageEnglish (US)
Pages (from-to)151-161
Number of pages11
JournalJournal of Agricultural Science
Volume145
Issue number2
DOIs
StatePublished - Apr 1 2007

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Mexico
Triticum
Genotype
Education
wheat
grain yield
genotype
yield components
Structural Models
Plant Physiological Phenomena
Biological Phenomena
Plant Development
plant physiology
plant breeding
plant development
inflorescences
structural equation modeling
Radiation
environmental factors
Temperature

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Genetics

Cite this

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title = "Paper Presented at International Workshop on Increasing Wheat Yield Potential, CIMMYT, Obregon, Mexico, 20-24 March 2006: Structural equation modelling for studying genotype x environment interactions of physiological traits affecting yield in wheat",
abstract = "In plant physiology and breeding, it is important to understand the causes of genotype x environment interactions (GEIs) of complex traits such as grain yield. It is difficult to study the underlying sequential biological processes of such traits, their components and other intermediate traits, as well as the main environmental factors affecting those processes. The structural equation models (SEMs) used in the present study allow the external and internal factors affecting GEI of various traits and their interrelations to be accounted for. The study included 86 wheat genotypes derived from three different crosses and evaluated over 3 years. Several attributes, as well as grain yield and yield components, were measured during five crop development stages. Environmental data for the five development stages were averaged. The SEM approach facilitated comprehensive understanding of GEI effects among the different traits, and decomposed the total effects of grain yield components and cross-product covariates on grain yield GEI into direct and indirect effects. External climatic variables were related mostly to main final yield components, and only more intermediate endogenous variables, such as spikes/m2, were affected by minimum temperature and radiation in the early stages of plant development.",
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AU - Crossa, J.

AU - Reynolds, M. P.

AU - Dhungana, P.

AU - Eskridge, K. M.

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AB - In plant physiology and breeding, it is important to understand the causes of genotype x environment interactions (GEIs) of complex traits such as grain yield. It is difficult to study the underlying sequential biological processes of such traits, their components and other intermediate traits, as well as the main environmental factors affecting those processes. The structural equation models (SEMs) used in the present study allow the external and internal factors affecting GEI of various traits and their interrelations to be accounted for. The study included 86 wheat genotypes derived from three different crosses and evaluated over 3 years. Several attributes, as well as grain yield and yield components, were measured during five crop development stages. Environmental data for the five development stages were averaged. The SEM approach facilitated comprehensive understanding of GEI effects among the different traits, and decomposed the total effects of grain yield components and cross-product covariates on grain yield GEI into direct and indirect effects. External climatic variables were related mostly to main final yield components, and only more intermediate endogenous variables, such as spikes/m2, were affected by minimum temperature and radiation in the early stages of plant development.

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