Abstract
Eighteen pea breeding lines and three check cultivars were tested in two years with and without irrigation. The linear regression can explain only a small part of GEI so the use of regression technique was not possible for interpreting the data. In this case the ecovalence, stability variance and superiority measure stability parameters cannot describe properly the genotype's response. With the AMMI method it is possible to group properly the genotypes according to their response.
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Claims 3
Claim · model-written summary
Linear regression explained only a small part of genotype-environment interaction in pea yield.
- Taxon
- pea (Pisum sativum L)
Lathyrus oleraceust0 - Outcome
- small part of GEIe0
- Comparator
- linear regressione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The linear regression can explain only a small part of GEI”
t0“pea (Pisum sativum L) seed yield”
Claim · model-written summary
Ecovalence, stability variance and superiority measure did not adequately describe genotype response.
- Taxon
- pea (Pisum sativum L)
Lathyrus oleraceust0 - Outcome
- genotype's responsee0
- Comparator
- ecovalence, stability variance and superiority measure stability parameterse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the ecovalence, stability variance and superiority measure stability parameters cannot describe properly the genotype's response.”
t0“pea (Pisum sativum L) seed yield”
Claim · model-written summary
AMMI properly grouped pea genotypes by response.
- Taxon
- pea (Pisum sativum L)
Lathyrus oleraceust0 - Outcome
- group properly the genotypes according to their responsee0
- Comparator
- AMMI methode0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“With the AMMI method it is possible to group properly the genotypes according to their response.”
t0“pea (Pisum sativum L) seed yield”