Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines

P. Dhungana, K. M. Eskridge, P. S. Baenziger, B. T. Campbell, K. S. Gill, I. Dweikat

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

The presence of genotype-by-environment interaction (GEI) complicates selection of superior genotypes and an understanding of environmental and genotypic causes of significant GEI is important in all stages of plant breeding. We present a systematic approach for understanding GEI of complex interrelated traits by combining chromosome substitution lines that allowed us to study the effects of genes on a single chromosome with a structural equation model that approximated the complex processes involving genes, environmental conditions, and traits. We applied the approach to recombinant inbred chromosome wheat lines grown in multiple environments. The final model explained 74% of the yield GEI variation and we found that spikes per square meter (SPSM) GEI had the highest direct effect on yield GEI and that the genetic markers were mostly sensitive to temperature and precipitation during the vegetative and reproductive periods. In addition, we identified a number of direct and indirect causal relationships that described how genes interacted with environmental factors to affect GEI of several important agronomic traits which would not have been possible with previously used methods.

Original languageEnglish (US)
Pages (from-to)477-484
Number of pages8
JournalCrop Science
Volume47
Issue number2
DOIs
StatePublished - Mar 1 2007

Fingerprint

substitution lines
wheat
genotype
chromosomes
environmental factors
genes
plant breeding
agronomic traits
genetic markers

ASJC Scopus subject areas

  • Agronomy and Crop Science

Cite this

Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines. / Dhungana, P.; Eskridge, K. M.; Baenziger, P. S.; Campbell, B. T.; Gill, K. S.; Dweikat, I.

In: Crop Science, Vol. 47, No. 2, 01.03.2007, p. 477-484.

Research output: Contribution to journalArticle

Dhungana, P. ; Eskridge, K. M. ; Baenziger, P. S. ; Campbell, B. T. ; Gill, K. S. ; Dweikat, I. / Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines. In: Crop Science. 2007 ; Vol. 47, No. 2. pp. 477-484.
@article{5cfd2671da2a4163ab0527c3a33f42da,
title = "Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines",
abstract = "The presence of genotype-by-environment interaction (GEI) complicates selection of superior genotypes and an understanding of environmental and genotypic causes of significant GEI is important in all stages of plant breeding. We present a systematic approach for understanding GEI of complex interrelated traits by combining chromosome substitution lines that allowed us to study the effects of genes on a single chromosome with a structural equation model that approximated the complex processes involving genes, environmental conditions, and traits. We applied the approach to recombinant inbred chromosome wheat lines grown in multiple environments. The final model explained 74{\%} of the yield GEI variation and we found that spikes per square meter (SPSM) GEI had the highest direct effect on yield GEI and that the genetic markers were mostly sensitive to temperature and precipitation during the vegetative and reproductive periods. In addition, we identified a number of direct and indirect causal relationships that described how genes interacted with environmental factors to affect GEI of several important agronomic traits which would not have been possible with previously used methods.",
author = "P. Dhungana and Eskridge, {K. M.} and Baenziger, {P. S.} and Campbell, {B. T.} and Gill, {K. S.} and I. Dweikat",
year = "2007",
month = "3",
day = "1",
doi = "10.2135/cropsci2006.06.0425",
language = "English (US)",
volume = "47",
pages = "477--484",
journal = "Crop Science",
issn = "0011-183X",
publisher = "Crop Science Society of America",
number = "2",

}

TY - JOUR

T1 - Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines

AU - Dhungana, P.

AU - Eskridge, K. M.

AU - Baenziger, P. S.

AU - Campbell, B. T.

AU - Gill, K. S.

AU - Dweikat, I.

PY - 2007/3/1

Y1 - 2007/3/1

N2 - The presence of genotype-by-environment interaction (GEI) complicates selection of superior genotypes and an understanding of environmental and genotypic causes of significant GEI is important in all stages of plant breeding. We present a systematic approach for understanding GEI of complex interrelated traits by combining chromosome substitution lines that allowed us to study the effects of genes on a single chromosome with a structural equation model that approximated the complex processes involving genes, environmental conditions, and traits. We applied the approach to recombinant inbred chromosome wheat lines grown in multiple environments. The final model explained 74% of the yield GEI variation and we found that spikes per square meter (SPSM) GEI had the highest direct effect on yield GEI and that the genetic markers were mostly sensitive to temperature and precipitation during the vegetative and reproductive periods. In addition, we identified a number of direct and indirect causal relationships that described how genes interacted with environmental factors to affect GEI of several important agronomic traits which would not have been possible with previously used methods.

AB - The presence of genotype-by-environment interaction (GEI) complicates selection of superior genotypes and an understanding of environmental and genotypic causes of significant GEI is important in all stages of plant breeding. We present a systematic approach for understanding GEI of complex interrelated traits by combining chromosome substitution lines that allowed us to study the effects of genes on a single chromosome with a structural equation model that approximated the complex processes involving genes, environmental conditions, and traits. We applied the approach to recombinant inbred chromosome wheat lines grown in multiple environments. The final model explained 74% of the yield GEI variation and we found that spikes per square meter (SPSM) GEI had the highest direct effect on yield GEI and that the genetic markers were mostly sensitive to temperature and precipitation during the vegetative and reproductive periods. In addition, we identified a number of direct and indirect causal relationships that described how genes interacted with environmental factors to affect GEI of several important agronomic traits which would not have been possible with previously used methods.

UR - http://www.scopus.com/inward/record.url?scp=34247249373&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34247249373&partnerID=8YFLogxK

U2 - 10.2135/cropsci2006.06.0425

DO - 10.2135/cropsci2006.06.0425

M3 - Article

AN - SCOPUS:34247249373

VL - 47

SP - 477

EP - 484

JO - Crop Science

JF - Crop Science

SN - 0011-183X

IS - 2

ER -