scholarly journals Evaluasi kegenjahan dan daya hasil jagung manis hibrida Indonesia menggunakan analisis GGE biplot pada lingkungan yang berbeda

Kultivasi ◽  
2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Dedi Ruswandi ◽  
Jajang Supriatna ◽  
Edi Suryadi ◽  
Nyimas Poppi Indriani ◽  
Noladhi Wicaksana ◽  
...  
Keyword(s):  
Short Duration ◽  
Sweet Corn ◽  
Environment Interaction ◽  
Gge Biplot ◽  
West Java ◽  
Genotype X Environment ◽  
G X E Interaction ◽  
Different Seasons ◽  
The Difference ◽  
Stable Hybrid

AbstrakUji multilokasi merupakan fase yang penting dalam menyeleksi hibrida jagung yang stabil pada lingkungan yang luas dan menyeleksi hibrida superior untuk lokasi spesifik. Tujuan penelitian ini yaitu untuk mengetahui kegenjahan dan daya hasil hibrida Padjadjaran, serta menentukan interaksi genotip dengan lingkungan (G x E), stabilitas, dan adaptabilitas karakter kegenjahan hibrida Padjadjaran di tiga lokasi selama dua musim yang berbeda di Jawa Barat. Rancangan percobaan yang digunakan adalah Rancangan Acak Kelompok dengan  delapan belas perlakuan yang terdiri dari enam belas hibrida Padjadjaran dan dua kultivar cek. Percobaan dilaksanakan selama dua tahun berturut- turut yaitu tahun ke-1 (Maret sampai Juli, 2014) dan tahun ke-2 (Maret sampai Juli, 2015) di tiga lokasi di Jawa Barat, yaitu: Jatinangor - Sumedang, Lembang - Kabupaten Bandung Barat, dan Wanayasa - Kabupaten Purwakarta. Uji lanjut yang digunakan untuk mengetahui perbedaan nilai rerata kegenjahan dan daya hasil digunakan analisis Duncan Multiple Range Test (DMRT), sedangkan untuk menentukan interaksi G x E, stabilitas, dan adaptabilitas menggunakan Genotype plus Genotype x Environment (GGE) biplot. Hasil memperlihatkan bahwa analisis GGE dapat menentukan interaksi G x E, stabilitas, dan adaptabilitas jagung manis hibrida Indonesia di Jawa Barat secara akurat. Model GGE disarankan untuk dapat digunakan sebagai aplikasi analisis untuk perilisan hibrida unggul di Indonesia oleh Kementerian Pertanian.Kata Kunci: Adaptabilitas, Interaksi  G x E, kegenjahan, Stabilitas Abstract. Multi-environment testing is an important stage to select stable hybrid for broad environment and to select superior hybrid for a specific environment. To determined G x E (Genotype x Environment) interaction, stability and adaptability of Padjadjaran sweet corn in Indonesia, sixteen new Padjadjaran sweetcorn hybrids and two commercial hybrids were tested in three locations for two different seasons in West Java, Indonesia. Duncan multiple range was used to elaborate the difference between sweetcorn hybrids for short duration and yield, while Genotype plus Genotype x Environment (GGE) biplot analysis was used to determine G x E interaction, stability, and adaptability. Results showed that GGE analysis was accurately determined G x E interaction, stability, and adaptability of Indonesian sweet corn in West Java. The GGE model is suggested to implement as a tool for Ministry of Agriculture  to release superior hybrid in Indonesia.Keywords: Adaptability, G x E interaction, Short duration, Stability

scholarly journals Stabilitas dan adaptabilitas daya hasil hibrida jagung manis padjadjaran berdasarkan analisis AMMI

Jurnal Agro ◽  
10.15575/8153 ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 169-178
Author(s):  
Dedi Ruswandi ◽  
Edy Suryadi ◽  
Muhammad Syafii ◽  
Anne Nuraini ◽  
Yuyun Yuwariah
Keyword(s):  
Key Words ◽  
Sweet Corn ◽  
West Java ◽  
Corn Hybrids ◽  
G X E Interaction ◽  
Different Seasons ◽  
Stable Hybrid

Evaluasi interaksi G x E melalui pengujian multilokasi merupakan tahapan penting untuk menentukan stabilitas dan adaptabilitas hibrida superior. Untuk menentukan interaksi G x E, stabilitas dan adaptabilitas hibrida jagung manis Padjadjaran di Jawa Barat, enam belas hibrida Padjadjaran dan dua hibrida komersial diuji di tiga lokasi selama dua musim yang berbeda di Jawa Barat- Indonesia. Hasil memperlihatkan bahwa biplot AMMI dapat dengan akurat menentukan interaksi G x E, stabilitas, dan adapatabilitas hasil hibrida jagung manis Padjadjaran di Jawa Barat. Biplot AMMI mengidentifikasi bahwa hibrida jagung manis Padjadjaran G 10 sebagai jagung manis yang stabil di berbagai lokasi pengujian dan musim di Jawa Barat, sedangkan hibrida jagung manis Padjadjaran G5 dan Padjadjaran G11 sebagai hibrida yang spesifik lingkungan.  Biplot AMMI disarankan sebagai alat menentukan hibrida superior yang akan dilepas di Indonesia.Evaluation of genotype (G) x environment (E) interaction through multi-location testing is an important phase to determined stability and adaptability of superior hybrid. To determined G x E interaction, stability and adaptability of Padjadjaran sweet corn hybrids, sixteen new Padjadjaran sweetcorn hybrids and two commercial hybrids were tested in three locations for two different seasons in West Java, Indonesia.  Results showed that AMMI biplot was accurately determined G x E interaction, stability and adaptability of Indonesian sweet corn in West Java for yield. The AMMI biplot determined Padjadjaran G 10 sweetcorn hybrid as a stable hybrid across locations and seasons in West Java, while Padjadjaran G5 and G11 as the specific environment hybrid. The AMMI biplot is suggested to implement as a tool to release particular superior hybrid in Indonesia. Key words : Adaptability, AMMI, G x E interaction, Sweetcorn, Stabilit

Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India

2018 ◽  
Author(s):  
Muniyandi Samuel Jeberson ◽  
Kadanamari Sankarappa Shashidhar ◽  
Shabir Hussain Wani ◽  
Amit Kumar Singh ◽  
Sher Ahmad Dar
Keyword(s):  
Principal Components ◽  
Lens Culinaris ◽  
Graphical Representation ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype X Environment ◽  
Ammi Analysis ◽  
Total Variability ◽  
Wide Adaptation ◽  
Superior Genotypes

In the present investigation with 24 lentil genotypes, first two Principal components revealed more than 90 per cent of the variability for the yield which indicates that G and GE together accounted for more than 10 per cent of total variability. Based on the present analysis of using GGE biplot models, considering simultaneous mean yield and stability, the genotypes G4, G12, G6, G13 and G2 were relatively stable in all the environments.The environment E1(Berthin) was discriminative (informative). This environment contributed most to the variability in grain yield. Hence, GGE biplot method is suitable to discriminate the genotypes based on their stable and instability nature across the environments.The AMMI analysis revealed that G13, G14, G12, G2, G23, G16 and G9 had wide adaptation and not be affected by the Genotype x environment interaction (GxE); hence mayyieldedgood across the environments. E2 and E3 could be considered as good selection sites for identifying broad based and most adaptable lentil genotypes. This study has clearly and by far aided in identification of stable and superior genotypes in graphical representation.

scholarly journals Adaptability and phenotypic stability of sugarcane clones

2018 ◽  
Vol 53 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Jiuli Ani Vilas Boas Regis ◽  
João Antonio da Costa Andrade ◽  
Adriano dos Santos ◽  
Aparecido Moraes ◽  
Rafael William Romo Trindade ◽  
...  
Keyword(s):  
Block Design ◽  
Saccharum Officinarum ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Phenotypic Stability ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Ideal Genotype ◽  
The Ideal

Abstract: The objective of this work was to select superior sugarcane (Saccharum officinarum) clones with good stability and adaptability, considering the genotype x environment interaction in two productive cycles. Twenty-five early clones plus five control clones were evaluated during two cuts (ratoon cane and plant cane) in 24 environments. A randomized complete block design was used, with three replicates. Tons of stems per hectare and tons of pol per hectare were evaluated. To verify adaptability and stability, the bisegmented regression and the multivariate (AMMI and GGE biplot) methods were used. According to the three methods, which are complementary regarding the desired information, the most promising clones in terms of stability and general adaptability are G5, G12, and G13; the last two are closest to the ideal genotype. The G13 clone is highly productive in favorable and unfavorable environments, presenting the highest averages for ton of stems and pol per hectare. The G3, G4, G10, G15, G17, G18, G22, G23, G25, G26, and G30 clones are not recommended for the 24 evaluated environments.

scholarly journals Biometric analysis of protein and oil contents of soybean genotypes in different environments

2014 ◽  
Vol 49 (6) ◽  
pp. 475-482 ◽  
Author(s):  
Josiane Isabela da Silva Rodrigues ◽  
Klever Márcio Antunes Arruda ◽  
Cosme Damião Cruz ◽  
Newton Deniz Piovesan ◽  
Everaldo Gonçalves de Barros ◽  
...  
Keyword(s):  
Minas Gerais ◽  
The State ◽  
Infrared Spectrometry ◽  
Environment Interaction ◽  
Soybean Genotype ◽  
Biometric Analysis ◽  
Genotype X Environment ◽  
Soybean Genotypes ◽  
Different Seasons ◽  
Selection For

The objective of this work was to identify by biometric analyses the most stable soybean parents, with higher oil or protein contents, cultivated at different seasons and locations of the state of Minas Gerais, Brazil. Forty-nine genotypes were evaluated in the municipalities of Viçosa, Visconde do Rio Branco, and São Gotardo, in the state of Minas Gerais, from 2009 to 2011. Protein and oil contents were analyzed by infrared spectrometry using a FT-NIR analyzer. The effects of genotype, environment, and genotype x environment interaction were significant. The BARC-8 soybean genotype is the best parent to increase protein contents in the progenies, followed by BR 8014887 and CS 3032PTA276-3-4. Selection for high oil content is more efficient when the crossings involve the Suprema, CD 01RR8384, and A7002 genotypes, which show high mean phenotypic values, wide adaptability, and greater stability to environmental variation.

Genotype X Environment Interaction Among Peanut Lines in Oklahoma1

1982 ◽  
Vol 9 (1) ◽  
pp. 24-27 ◽  
Author(s):  
K. E. Dashiell ◽  
J. S. Kirby ◽  
R. W. McNew
Keyword(s):  
Variance Components ◽  
Unit Area ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Performance Tests ◽  
Genotype X Environment ◽  
Pod Yield ◽  
Arachis Hypogaea L ◽  
The Difference ◽  
Interaction Variance

Abstract Data from Oklahoma peanut (Arachis hypogaea L.) performance tests from 1969 through 1978 were used to estimate genotype X environment interaction variance components for pod yield, %TSMK, % SS, % OK, and gross return per unit area. The objectives of this study were to determine if it would be advantageous to select cultivars for specific regions, and to determine the most efficient combination of years, locations, and replications to use when evaluating peanut lines. Evidence was obtained that genotypes perform consistently between irrigated and nonirrigated locations for the traits studied. The variance of the difference between two cultivars or lines was calculated for % TSMK, pod yield, and gross return using various combinations of years, locations, and replications. Results indicate that, when testing for gross return, the time presently allotted for testing could be reduced without sacrificing accuracy.

scholarly journals GGE-Biplot analysis of multienvironments yield trials of Egyptian cotton (Gossypium barbadense L.,)

2021 ◽  
Vol 2 (1) ◽  
pp. 61
Author(s):  
Ahmed Mohamed Abdelmoghny ◽  
Reham Helmy Gibely ◽  
Mariz Sobhy Max ◽  
Emad Abdelazeim Amer ◽  
Salah Saber Hassan
Keyword(s):  
Block Design ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Cotton Yield ◽  
Comparative Performance ◽  
Genotype X Environment ◽  
Biplot Analysis ◽  
Cotton Genotypes ◽  
Egyptian Cotton ◽  
The Ideal

GGE biplot technique is one of the most appropriate methods for investigating the genotype x environment interaction. A total of twenty one Egyptian cotton genotypes were tested to evaluate stability and adaptability during two agricultural years at four environments using randomized complete block design with six replications. The analysis of variance showed that the effect of environments, years, environment x years, genotypes, and genotype x environment was highly significant for lint cotton yield / plot. Also, the interaction effect due to G x Y x E was also significant. The variation of sum of squares was divided for genotypes, years, environments, and GEI to 25.261 %, 0.574 %, 36.660 % and 3.396 % respectively of total variance for lint cotton yield / plot. The analysis of environments revealed that the cotton genotypes showed maximum mean values for lint cotton yield in El-Gharbiya then Kafr El-Sheikh. Comparative performance of genotypes through genotype by environment interaction (GEI) revealed that genotypes produced maximum lint cotton yield during 2019 at El-Gharbiya followed by Kafr El-Sheikh. The results of biplot analysis showed that the first and second principle components accounted 87.96 % and 5.86 %, respectively, and in total of 93.82 % lint cotton yield variance. The polygon view led to the identification of top six genotypes. G6, G7 and G15 were the ideal genotypes which has the highest mean performance coupled with maximum stability. The ideal genotype could be used as a benchmark for selection. While, the desirable genotypes was (G2, G4 and G5) characterized by high mean yield but less ideal genotypes. E2 was the ideal environment across four environments which have the highest ability to discriminate the genotypes. Four environments had long vectors with small angles (acute) are highly correlated and clustered as one mega-environment. The cotton breeder should evaluate the genotypes under new environments to reduce the costs.     

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