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Response of Sericea Lespedeza Genotypes Low in Tannins to Different Environments
Author(s) -
Mosjidis J. A.
Publication year - 1988
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/j.1439-0523.1988.tb00302.x
Subject(s) - tannin , lespedeza , biology , trait , condensed tannin , forage , cultivar , gene–environment interaction , agronomy , genotype , stability (learning theory) , proanthocyanidin , botany , horticulture , zoology , polyphenol , biochemistry , antioxidant , machine learning , computer science , gene , programming language
Transfer of the low‐tannin trait to otherwise desirable sericea lespedeza high‐tannin lines produced genotypes with considerably lowered forage yield. It is not known if low‐tannin sericeas are proportionally less productive than high‐tannin sericeas in high‐yielding environments. If so, low‐tannin sericeas would be less desirable to grow in more productive environments. Regression analysis was used to partition GE interactions between regressions and the residuals after regression, and to measure the response to changing environments, S hukla 's stability‐variance parameters were used to measure genotype stability. Variance and coefficient of variation were calculated across environments for each genotype and rank correlated to the aforementioned parameters of stability to determine their usefulness in the early stages of cultivar testing. Stability analysis was carried out on the dry forage yield of 10 genotypes grown in 10 environments in Alabama. The only low‐tannin genotype that consistently responded to environmental fluctuations like ‘Serala’ was 74‐100‐5. Low‐tannin sericeas were found to be proportionally less productive than high‐tannin sericeas in high‐yielding environments. However, it is possible to select low‐tannin lines with an environmental response similar to high‐tannin sericeas. Rank correlations among stability parameters indicated that EV is a stability parameter which is easy to calculate and could be used in the early stages of cultivar testing.