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Research Article Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models
- Source :
- Genetics and Molecular Research. 16
- Publication Year :
- 2017
- Publisher :
- Genetics and Molecular Research, 2017.
-
Abstract
- Cotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world's fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country. Therefore, the goal of this study was to evaluate the G x E interactions in two important traits in cotton (fiber yield and fiber length) using the method proposed by Eberhart and Russell (simple linear regression) and reaction norm models (random regression). Eight trials with sixteen upland cotton genotypes, conducted in a randomized block design, were used. It was possible to identify a genotype with wide adaptability and stability for both traits. Reaction norm models have excellent theoretical and practical properties and led to more informative and accurate results than the method proposed by Eberhart and Russell and should, therefore, be preferred. Curves of genotypic values as a function of the environmental gradient, which predict the behavior of the genotypes along the environmental gradient, were generated. These curves make possible the recommendation to untested environmental levels.
- Subjects :
- 0106 biological sciences
business.industry
Norm (group)
media_common.quotation_subject
General Medicine
01 natural sciences
Stability (probability)
Adaptability
Biotechnology
010104 statistics & probability
Random regression
Statistics
Genotype
Genetics
0101 mathematics
Simple linear regression
Gene–environment interaction
business
Molecular Biology
010606 plant biology & botany
Mathematics
Environmental gradient
media_common
Subjects
Details
- ISSN :
- 16765680
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Genetics and Molecular Research
- Accession number :
- edsair.doi...........95ba3449d508db67b00e02d765280897