scholarly journals Stability analysis of bread wheat landraces and lines using biometrical genetic models

Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 449-464
Author(s):  
Fatemeh Bavandpori ◽  
Jafar Ahmadi ◽  
Sayyed Hossaini
Keyword(s):  
Bread Wheat ◽  
Block Design ◽  
Gge Biplot ◽  
Breeding Programs ◽  
Biplot Analysis ◽  
Genotype Effect ◽  
Randomized Complete Block Design ◽  
Main Effect ◽  
Ammi Analysis ◽  
Ammi Model

In order to evaluate yield stability of twenty genotypes of bread wheat, an experiment was conducted in randomized complete block design (RCBD) with three replications under irrigated and rainfed conditions in Razi University of Kermanshah for three years (2011-2013). Combined analysis of variance showed highly significant differences for the GEI. Stability determined by AMMI analysis indicated that the first two AMMI model (AMMI1-AMMI2) were highly significant (P<0.01). The GEI was three times higher than that of the genotype effect. The results of Biplot AMMI2 showed that, genotypes WC-47359, WC-47472, WC-4611, WC-47388 and WC-47403 had general adaptability. Based on the ASV and GSI, the genotypes number WC-47403 and WC-47472 revealed the highest stability. GGE biplot analysis of yield displaying main effect G and GEI justified 57.5 percent of the total variation. The first two principal components (PC1 and PC2) were used to create a 2-dimensional GGE biplot and explained 34.3, 23.2 of GGE sum of squares (SS), respectively. Genotypes WC-47403, PISHGAM2 exhibited the highest mean yield and stability. Based on the results obtained the best genotypes were WC-47403, PISHGAM2, WC-4968, WC-47472 and WC-47528 for breeding programs.

scholarly journals Genotype by Trait Interaction (GT) in Maize Hybrids on Complete Fertilizer

Plants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2388
Author(s):  
Seyed Mohammad Nasir Mousavi ◽  
Csaba Bojtor ◽  
Árpád Illés ◽  
János Nagy
Keyword(s):  
Block Design ◽  
Principal Component ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Maize Cultivars ◽  
Randomized Complete Block Design ◽  
Total Data ◽  
Ammi Model ◽  
Complete Fertilizer ◽  
The University

We investigated the interaction between genotype by trait, and an experiment was conducted at the University of Debrecen. Two maize cultivars, FAO340 and FAO410, were studied in a randomized complete block design with four replications. This experiment was applied to the six fertilization treatments. Fertilizer levels were NPK0 (control) (N:0, P2O5:0, K2O:0), NPK1 (N:30, P2O5:23, K2O:27), NPK2 (N:60, P2O5:46, K2O:54), NPK3 (N:90, P2O5:69, K2O:81), NPK4 (N:120, P2O5:92, K2O:108), and NPK5 (N:150, P2O5:115, K2O:135). The first principal component showed 54.24%, and the second principal component showed 20.75%, which explained the total squares interaction using the AMMI model in the case of the FAO410 hybrid. As regards the FAO340 hybrid, the first principal component showed 58.18%, and the second principal component showed 18.04%, explaining the total squares interaction using the AMMI model in the FAO410 hybrid. In the GGE biplot on FAO410, the first and the second principal components covered 91.20% of the total data in this analysis. Accordingly, the desirable treatment was NPK5, followed by NPK4, NPK2, NPK3, NPK1, and NPK0. NPK4 and NPK5 had the most desirable treatments for the number of seeds per row, chlorophyll, weight of 1000 seeds, and stem diameter in the case of the FAO410 hybrid.

Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

2021 ◽  
pp. 1-13
Author(s):  
Aliya Momotaz ◽  
Per H. McCord ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
Miguel Baltazar ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Area 5 ◽  
Randomized Complete Block Design ◽  
Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

scholarly journals ADAPTABILITY AND STABILITY FOR IRON AND ZINC IN COWPEA BY AMMI ANALYSIS

2021 ◽  
Vol 34 (3) ◽  
pp. 590-598
Author(s):  
CARLOS ENRIQUE CARDONA-AYALA ◽  
HERMES ARAMENDIZ-TATIS ◽  
MIGUEL MARIANO ESPITIA CAMACHO
Keyword(s):  
Genetic Improvement ◽  
Block Design ◽  
Environment Interaction ◽  
Improvement Program ◽  
Genotype Environment Interaction ◽  
Randomized Complete Block Design ◽  
Ammi Analysis ◽  
Iron And Zinc ◽  
Ammi Model ◽  
Main Effects

ABSTRACT Iron and zinc deficiency is one of the main problems affecting vulnerable populations in the Colombian Caribbean, thereby generating malnutrition from the consumption of foods with low content of essential minerals. The objective of this study was to evaluate the genotype-environment interaction for iron and zinc accumulation in grains in 10 cowpea bean genotypes by additive main effects and multiplicative interaction (AMMI) model and to select the most stable ones to stimulate their planting or as parents in the genetic improvement program. Nine promising lines and a commercial control were evaluated using the randomized complete block design with 10 treatments and four replications in 10 environments of the northern Colombia in the second semester of 2017 and first of 2018. The adaptability and stability analysis was done using AMMI model. The results showed highly significant differences at the level of environments, genotypes, and genotype-environment interaction for iron and zinc, demostrating a differential adaptability of genotypes in the test environments. Genotypes 2 and 3 expressed greater adaptability and stability for iron contents in the seed; while genotype 1, recorded it for zinc contents. These three genotypes outperformed the commercial control and, therefore, can be recommended for planting or be used as parents in the genetic improvement program.

scholarly journals GGE-Biplot Analysis for Soybean Varieties Suitability in an Agroforestry System based on Kayu Putih Stands

2019 ◽  
Vol 34 (2) ◽  
pp. 213
Author(s):  
Taufan Alam ◽  
Priyono Suryanto ◽  
Aprilia Ike Nurmalasari ◽  
Budiastuti Kurniasih
Keyword(s):  
Soil Type ◽  
Block Design ◽  
Dry Weight ◽  
Agroforestry System ◽  
High Yield ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Randomized Complete Block Design ◽  
The Mean ◽  
Special Region

<p>The existence of genotype and environment (G x E) interaction causes difficulty in selecting suitable varieties of soybean in an agroforestry system based on <em>kayu putih</em> stands. This study aimed to determine the suitability of adaptive, stable and high yield soybean varieties in an agroforestry system based on <em>kayu putih</em> stands by using GGE-Biplot analysis. The experiment was conducted from May to August 2018 at Menggoran Forest Resort, Playen District, Gunung Kidul Regency, Special Region of Yogyakarta, Indonesia. The experiment was conducted using a randomized complete block design (RCBD) with five block as replications. The first factor was soil type in Menggoran Forest Resort, consisting of Lithic Haplusterts, Vertic Haplustalfs and Ustic Endoaquerts. The second factor was soybean varieties, consisting of Anjasmoro, Argomulyo, Burangrang, Dering I, Devon I, Gema and Grobogan. The observation was carried out on seed dry weight of soybean per hectare. The data were analyzed using Combined Analysis of Variance (ANOVA) with α = 5% and GGE-Biplot. Dering I was the most suitable varieties in an agroforestry system based on <em>kayu putih</em> stands and showed the mean of highest yield of 1.22 tons ha<sup>-1</sup>.</p>

scholarly journals Analysis of genotype-environment interactions of silage maize cultivars under environmental trials

2020 ◽  
Vol 49 (1) ◽  
pp. 55-63
Author(s):  
Haiwang Yue ◽  
Heqin Li ◽  
Liping Xu ◽  
Junzhou Bu ◽  
Jianwei Wei ◽  
...  
Keyword(s):  
Block Design ◽  
Field Research ◽  
High Yield ◽  
Maize Cultivars ◽  
Silage Maize ◽  
Randomized Complete Block Design ◽  
Main Effect ◽  
Ammi Model ◽  
Testing Site ◽  
Poor Stability

To evaluate the adaptability and stability of silage maize cultivars and identify the representativeness and discrimination of each testing site, a two-year field research in a randomized complete block design (RCBD) with three replicates at 10 testing sites was conducted. An additive main effect and multiplicative interaction (AMMI) model and a genotype plus genotype environment interactions (GEI) biplot (referred to as GGE hereafter) were used to analyze the data. The two-year test revealed that four cultivars (Zhongdi 175 (ZD175), Qiushuo 008 (Q008), Hengyu 1587 (H1587), and Yayuqingzhu 8 (Y8) exhibited high yield and good stability, whereas two cultivars (Zhongbeiqingzhu 410 (Z410) and Fangyu 36 (F36) had low yield and poor stability. The comprehensive application of the AMMI model and the GGE biplot could accurately and intuitively evaluate the high yield, stability, and adaptability of each cultivar.

scholarly journals Performances of tomato cultivars in coastal areas based on GGE biplot analysis

2020 ◽  
Vol 31 (2) ◽  
pp. 94-103
Author(s):  
N Naher ◽  
MK Uddin ◽  
KU Ahamed ◽  
AKMM Alam
Keyword(s):  
Crop Production ◽  
Block Design ◽  
Coastal Region ◽  
Gge Biplot ◽  
Salt Tolerant ◽  
Biplot Analysis ◽  
Yield Parameters ◽  
Randomized Complete Block Design ◽  
Tomato Cultivars ◽  
The Stability

Soil salinity problem is undoubtedly a major cause which limits the crop production in the coastal region of Bangladesh. Hence an experiment was conducted to observe the stability of cultivars at two coastal saline areas namely Benarpota and Kalapara of Bangladesh based on yield and yield related traits. Eight tomato varieties were used and the experiment was laid out in Randomized Complete Block Design with three replicates. The collected data were analyzed statistically using R-Stat program. The stability of the cultivars was done by R Stat biplot analysis. Yield parameters were significantly affected by salinity at both locations. At Kalapara and Benarpota the variety BARI Tomato-7 gave the highest plant height, 120 cm and 114.67cm, respectively. BARI Tomato-4, BARI Tomato-9 and BARI Tomato-11at Benarpota were earlier for harvest days. The highest number of fruits/plant was recorded from BARI Tomato-11while the lowest number was for BARI Tomato-4 at Benarpota which was statistically similar to BARI Tomato-8 at Kalapara. BARI Tomato-7 gave the highest fruit yield (90.0 t/ha) at Benarpota and (84.67 t/ha) at Kalapara which was significantly different from all other varieties and followed by BARI Tomato-14 (82.67 t/ha) and BARI Tomato-8 (80.33 t/ha). The lowest yield was obtained from BARI Tomato-11 at both the locations. Salt tolerant BARI Tomato-7 was the most suitable variety for Benarpota and Kalapara regions. Based on GGE biplot Genotype (G), Environment (E) and Genotype × Environment (G × E) interactions, BARI tomato-7 and BARI tomato-14 obviously ranked first position at Benarpota and kalapara, respectively. Progressive Agriculture 31 (2): 94-103, 2020

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

scholarly journals Tolerance to preharvest sprouting and yield of wheat genotypes from different breeding programs

2015 ◽  
Vol 50 (8) ◽  
pp. 698-706
Author(s):  
Rafael Nörnberg ◽  
José Antonio Gonzalez da Silva ◽  
Henrique de Souza Luche ◽  
Elisane Weber Tessmann ◽  
Sydney Antonio Frehner Kavalco ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Preharvest Sprouting ◽  
Rio Grande Do Sul ◽  
Falling Number ◽  
Breeding Programs ◽  
Wheat Genotypes ◽  
Randomized Complete Block Design ◽  
Superior Genotypes ◽  
Selection Of

Abstract:The objective of this work was to characterize the performance of elite wheat genotypes from different Brazilian breeding programs for traits associated with grain yield and preharvest sprouting. The study was conducted in 2010 and 2011 in the municipality of Capão do Leão, in the state of Rio Grande do Sul, Brazil, in a randomized complete block design with three replicates. Thirty-three wheat genotypes were evaluated for traits related to preharvest sprouting and grain yield. The estimate of genetic distance was used to predict potential combinations for selection of plants with high grain yield and tolerance to preharvest sprouting. The combined analysis of sprouted grains and falling number shows that the TBIO Alvorada, TBIO Mestre, Frontana, Fundacep Raízes, Fundacep Cristalino, and BRS Guamirim genotypes are tolerant to preharvest sprouting. Combinations of TBIO Alvorada and TBIO Mestre with Fundacep Cristalino show high potential for recovering superior genotypes for high grain yield and tolerance to preharvest sprouting.

scholarly journals Performance of Six Genotypes of Tritordeum Compare to Bread Wheat under East Mediterranean Condition

2020 ◽  
Vol 12 (22) ◽  
pp. 9700
Author(s):  
Ioanna Kakabouki ◽  
Dimitrios F. Beslemes ◽  
Evangelia L. Tigka ◽  
Antigolena Folina ◽  
Stella Karydogianni ◽  
...  
Keyword(s):  
Bread Wheat ◽  
Block Design ◽  
Wheat Yield ◽  
Significance Level ◽  
Yield And Quality ◽  
Gluten Content ◽  
Significant Difference ◽  
Randomized Complete Block Design ◽  
Dry Conditions ◽  
Set Up

Four advanced tritordeum lines were studied and compared to two commercial varieties of tritordeum and wheat cultivars in yield and quality features, in Greece. For this purpose, a two-year experiment was established in the Greek territory. The field experiment was set up in Randomized Complete Block Design (RCBD) with blocks, with different lines and varieties. Head emergence was calculated based on Growing Degree Days (GDDs), which was significantly affected by the year. The significance of differences between treatments was estimated by using Fisher’s least significant difference (LSD) test with significance level p = 0.05. The weight of 1000 seeds of the two commercial varieties differed from the equivalent weight of 1000 seeds of tritordeum lines, approximately 1 g. Yield was significantly affected by lines/varieties and year. Compared to tritordeum yield, wheat yield marked the highest values. This difference was almost 2 kg ha−1. Gluten content was significantly affected by lines/varieties. The highest gluten content was firstly noticed at wheat GENESIS (34.2%) variety and secondly at tritordeum Aucan (33.2%) variety. Protein was higher in tritordeum lines HT-1704 (15.5%), HT-1707 (15.1%) and Aucan variety (15.2%) during the first experimental year. Tritordeum seems to have significant adaptability to dry conditions in Greece and significant yields compared to the existing commercial varieties and bread wheat.

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