Journal Article10.1007/S40003-020-00458-3
Evaluation of Genotype × Environment Interaction and Yield Stability Analysis in Peanut Under Phosphorus Stress Condition Using Stability Parameters of AMMI Model
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TL;DR: Development of new genotypes with high yield and acceptable level of stability is an important breeding programme and stability measures such as SIPC, MASI and MASV could be used to identify stable high-yielding genotypes.
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Abstract: Development of new genotypes with high yield and acceptable level of stability is an important breeding programme. The genotype × environment interaction (GEI) was studied to find out stable high yielders in a field experiment conducted with 52 peanut genotypes for 2 years under two phosphorus levels. Combined analysis of variance showed that environment effect was a predominant source of variation followed by GEI and genotype effect. Study of the AMMI model for GEI indicated that the first three interaction principal components (IPCA1–IPCA3) were highly significant (P < 0.01). Using these significant IPCAs, 12 AMMI stability parameters and simultaneous selection for yield and stability (SSI) were computed. SSI identified genotypes PBS-22080, PBS-22083 and Somnath as the most stable high yielders and PBS-29172 as the least stable low yield. Stability measures such as SIPC, MASI and MASV could be used to identify stable high-yielding genotypes.
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Citations
Higher Order AMMI (HO-AMMI) analysis: A novel stability model to study genotype-location interactions
B. C. Ajay,Fiyaz R Abdul,S. K. Bera,Narendra Kumar,K. Gangadhar,Praveen Kona,Kirti Rani,T. Radhakrishnan +7 more
TL;DR: HO-AMMI model was able to remove the confounding effect of GYI and GLYI on GLI for accurate identification of genotype for target location irrespective of number of years of evaluation and can be used under multi-environment trials (MET) for selecting genotypes efficiently.
Assessment of rhizome yield of local Indonesian turmeric (Curcuma longa L.) during two growing seasons
R. Aulia,Haris Maulana,Yoshua Liberty Filio,Nurulain Shafira,Putri Ardhya Anindita,Tarkus Suganda,Vergel C. Concibido,Agung Karuniawan +7 more
TL;DR: In this article, Aulia R, Maulana H, Filio YL, Shafira NA, Anindita PA, Suganda T, Concibido V, Karuniawan A. evaluated the rhizome yield of local Indonesian turmeric (Curcuma longa L.) during two growing seasons.
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The Sustainability Index and Other Stability Analyses for Evaluating Superior Fe-Tolerant Rice (Oryza sativa L.)
Dwinita Wikan Utami,Ajang Maruapey,Haris Maulana,P. H. Sinaga,Susilawati,Agung Karuniawan +5 more
TL;DR: This study evaluates 15 Fe-tolerant rice genotypes in Indonesia, identifying superior genotypes (G4) and mega-environments, and determining the sustainability index and representative environments for rice development, with significant effects of genotypes, environment, and GEIs on yields.
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Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morocco
TL;DR: In this paper , 64 lentil genotypes representing improved varieties, landraces and advanced lines were evaluated under 6 environments for green cover, phenological characters, grain yield and 1000 seed weight.
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Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses
Destaw Mullualem,Alemu Tsega,Tesfaye Mengie,Desalew Fentie,Zelalem Kassa,Amare Fassil,Demekech Wondaferew,Neeti Sanan-Mishra,Tess Astatkie +8 more
TL;DR: Genotype-by-environment interaction (GEI) and stability analysis of grain yield of bread wheat genotypes using AMMI and GGE biplot analyses revealed that G6 was the highest yielding genotype, while G5 and G7 demonstrated high stability and minimal interaction with the environment.
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