scholarly journals Genotype x environment interaction of wheat genotypes under salinity environments

2017 ◽  
Vol 3 (1) ◽  
pp. 38-43
Author(s):  
Md Saleh Uddin ◽  
Md Sultan Alam ◽  
Nasrin Jahan ◽  
Kazi Md Wayaz Hossain ◽  
Md Ali Newaz
Keyword(s):  
Grain Yield ◽  
Grain Weight ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Wheat Genotypes ◽  
Genotype X Environment ◽  
Genotype Environment Interaction ◽  
Days To Heading ◽  
Salinity Levels ◽  
1000 Grain Weight

Genotypes x environment interaction as well as stability of performance were determined for grain yield and yield contributes of 12 wheat genotypes under four salinity levels of environments (control, 8, 12, 16 dS/m). Significant genotype-environment interaction (linear) for days to heading, plant height, number of spikes per plant and grains per spikes, 1000-grain weight and grain yield per plant at 1% level of probability when tested against pooled deviation. Both the environment (linear) and genotype x environment (linear) components of variation for stability were also significant indicating that prediction of the genotypes on the environment appeared feasible for all the characters. The variance due to pooled deviation was significant for only days to heading. Considering all the three stability parameter, genotype G11 was found most stable among all the genotypes for grain weight of wheat. Among the genotypes G11, G22, G24, G33 and G40 were most desirable for yield per plant. The genotype G32 showed more responsiveness to changing environment and was suited only for highly favorable environments. Based on three stability parameters, G11, G22 and G37 were the most stable and desirable genotypes with reasonable good yield among the all.Asian J. Med. Biol. Res. March 2017, 3(1): 38-43

scholarly journals Genotype × Environment Interaction and Stability Analysis for Grain Yield of Mid-hill Rice Genotypes

2014 ◽  
Vol 8 ◽  
pp. 14-17 ◽  
Author(s):  
Hari K. Upreti ◽  
Sudarshan Bista ◽  
Surya N. Sah ◽  
Ramesh Dhakal
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Genotype X Environment ◽  
Genotype Environment Interaction ◽  
Significant Difference ◽  
Rice Genotypes

Genotype x Environment interaction limits the effectiveness of selection when selection is based only on mean yield. This G × E interaction was studied for grain yield in 7 genotypes  of mid-hill rice in five different environments across the Nepal. Significant difference was observed among genotype (G), environment (E) and interaction (G × E) but could not identify the stable high yielding genotypes for diverse environments. Therefore, stability parameters were calculated and analyzed. On the basis of stability parameters, two genotypes, NR 10414, NR 10492 and NR 10515 were found to be most stable over different environments. NR 10353 was identified as suitable genotypes with high grain yield for favorable environment.Nepal Agric. Res. J. Vol. 8, 2007, pp. 14-17DOI: http://dx.doi.org/10.3126/narj.v8i0.11565

Detection and estimation of components of genetic variation and genotype × environment interaction in three wheat crosses

1984 ◽  
Vol 103 (3) ◽  
pp. 543-547 ◽  
Author(s):  
S. Singh ◽  
M. S. Dahiya
Keyword(s):  
Genetic Variation ◽  
Grain Yield ◽  
Plant Height ◽  
Environment Interaction ◽  
Gene Effects ◽  
Genotype Environment Interaction ◽  
Additive Component ◽  
Spike Number ◽  
Additive Gene ◽  
1000 Grain Weight

SummaryThe data obtained from 360 progeny families produced by crossing 40 F2 plants from each of three wheat crosses HD 2009 × HD 1949, Raj 821 × WH 147 and NP 876 × HD 1949, to three testers (the testers being the two parents of each original cross and their F1 in each case) were subjected to triple test cross analysis for detecting and estimating additive, dominance and epistatic components of genetic variation and interaction of these components with environment for plant height, spike length, number of tillers per plant, number of spikelets per spike, number of grains per spike, 1000-grain weight, number of days from sowing to heading and to maturity, grain yield per plant and grain yield/above ground dry matter ratio (harvest index). Epistasis was an important element for plant height, number of tillers per plant, number of grains per spike and grain yield per plant in all three crosses. Both the i type and j and l type epistasis were equally important. In general, the magnitude of additive component was larger than that of dominance component. The additive gene effects were more sensitive to environmental change than the dominance gene effects. Similarly, j and l type epistasis was relatively more sensitive to environment than the i type epistasis.

scholarly journals Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

2021 ◽  
Vol 65 (1) ◽  
pp. 17-27
Author(s):  
Ensieh Es'haghi Shamsabadi ◽  
Hossein Sabouri ◽  
Habibollah Soughi ◽  
Seyed Javad Sajadi ◽  
Ahmad Reza Dadras
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Combining Ability ◽  
Grain Weight ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Heterotic Groups ◽  
Plant Seed ◽  
Genotype Environment Interaction ◽  
Grain Number Per Spike

The present study was undertaken to analyze diallel data using GGE biplot model to gather information about genetic interrelationships among parents and identification of heterotic combinations for yield and yield components in bread wheat varieties. For this purpose, 8 bread wheat genotypes tested across in half-diallel crosses design, GGE biplot technique was used. Parents included the genotypes of Kouhdasht, Karim, Ehsan, Mehregan, N-92-9, Line 17, N80-19 and Atrak. The hybrids obtained from the one-way cross (28 hybrids) in agricultural years of 2016-17 were evaluated as randomized complete block design in two replications on the research farm of Gonbad Kavous University. The evaluated traits included the grain yield, weight of spike grains, number of grains in spike and number of spikes. Additive main effects and genotype × environment interaction (GGE) were employed in the evaluation of genotypes; analyses showed significant (P< 0.01) G × E, (genotype × environment interaction) with respect to plant seed yield. GGE biplot analysis showed that Karim was as the best general combiners for grain yield, number grain per spike and grain weight per spike, whereas Ehsan had the highest GCA effects for number of spikes. Ehsan and Karim had higher specific combining ability than other genotypes. The studied genotypes for this trait were divided into two heterotic groups where the first group included the genotypes of Kouhdasht, N-92-9, N80-19 and Atrak and the second group contained the genotypes of Line 17, Mehregan and Karim. Mehregan line had a weak combining ability with all testers and N-92-9 had also more power than others. Based on the biplot, the Karim genotype with high general adaptation was introduced as the ideal genotype in terms of grain yield, spike number, grain number per spike and grain weight, so the Karim genotype can be adapted to obtain high yield hybrids.

A study of genotype × environment interaction in three chickpea triple test crosses

1986 ◽  
Vol 107 (3) ◽  
pp. 549-554
Author(s):  
S. Singh ◽  
I. S. Pawar ◽  
I. P. Singh
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Grain Weight ◽  
Environment Interaction ◽  
Gene Effects ◽  
Genotype Environment Interaction ◽  
Triple Test ◽  
Sowing Dates ◽  
Additive Gene ◽  
Number Of Branches

SUMMARYThe analysis of Perkins & Jinks (1971) was applied to 360 progeny families of three chickpea F2 triple test crosses, namely, F 378 × ICCC 1, P 1198–1 × ICCC 1 and US 613 × BG 203, to detect and measure the interaction of additive, dominance and epistatic gene effects with sowing dates. The families were grown in completely randomized blocks in three replications with two sowing dates, and data were recorded for plant height, number of branches per plant, number of days from sowing to flowering, number of days from sowing to maturity, number of pods per plant, number of grains per plant, 100-grain weight and grain yield per plant. The i type epistasis and additive genetic component were relatively more important than j and l type epistasis and dominance component, respectively. The j and l type epistasis and additive gene effects were more sensitive to environmental differences than the i type epistasis and dominance gene effects, respectively.

scholarly journals Evaluation of stability in maize hybrids using univariate parametric methods

2021 ◽  
Author(s):  
Seyed Habib Shojaei ◽  
Khodadad Mostafavi ◽  
Amirparviz Lak ◽  
Ali Omrani ◽  
Saeed Omrani ◽  
...  
Keyword(s):  
Grain Yield ◽  
Climatic Conditions ◽  
High Yield ◽  
Environment Interaction ◽  
Average Yield ◽  
Stability Parameters ◽  
Environmental Variance ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
The Stability

AbstractGenotype × environment interaction is one of the complex issues of breeding programs to produce high-yielding and compatible cultivars. Interaction of genotype × environment and make the more accurate selection, the performance and stability of hybrids need to be considered simultaneously. This study aimed to investigate stable genotypes with yield using 12 maize hybrids in different climatic conditions of Iran. The experimental design used was a randomized complete blocks design in three replications in two cropping years in Karaj, Birjand, Shiraz, and Arak stations. The simple analysis of variance performed on grain yield of genotypes indicated that all hybrids studied each year and station were significantly different in grain yield. Also, the combined analysis results showed a significant effect on the environment, the effects of genotype, and the interaction of genotype × environment and t in the studied hybrids different. Comparing Duncan's mean on the data obtained from the research, KSC705 genotypes with an average yield of 7.21 and KSC704 genotype with an average yield of 7.04 were identified as high yield cultivars. In order to identify stable cultivars, six stability parameters were used. KSC260 and KSC707 genotypes had stability Based on the environmental variance, also had stability based KSC705, KSC707 genotype on environmental the coefficient of variation, and KSC260 genotypes had stability based methods of genotype and environment interaction. As well as based on Eberhart and Russell regression coefficient had the stability to KSC400 and SC647 genotypes. Also, they were identified as the most stable genotypes based on the detection coefficient method, KSC707, and KSC703 genotypes.

scholarly journals Genetic Variability and Correlation Coefficients of Major Traits in Early Maturing Rice under Rainfed Lowland Environments of Nepal

2019 ◽  
Author(s):  
Dev Nidhi Tiwari ◽  
Santosh Raj Tripathi ◽  
Mahendra Prasad Tripathi ◽  
Narayan Khatri ◽  
Bishwas Raj Bastola
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Research Program ◽  
Coefficient Of Variation ◽  
Quantitative Traits ◽  
Correlation Coefficients ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
1000 Grain Weight

ABSTRACTGenetic variability is the fundamental requirement of any crop breeding program to develop superior cultivars. The objective of this study was to estimate the genetic variability and find out the correlation among the different quantitative traits of rainfed early lowland rice. The experiment was conducted consecutively two years during 2015 and 2016 in wet season across the four different locations in Regional Agricultural Research Station, Khajura, National Wheat Research Program, Bhairahawa, National Maize Research Program, Rampur and National Rice Research Program, Hardinath along the Terai region of Nepal representing sub-tropical agro-climate. Seven genotypes including Hardinath-1 as standard check variety were evaluated in the randomized complete block design with three replications. Various quantitative traits were measured to investigate the variability and correlation coefficients. All the genotypes and locations showed significant variations for all the traits considered. Genotypic coefficient of variation was lower than phenotypic coefficient of variation for all traits studied. The magnitudes of genotypic coefficient of variations were relatively higher for grain yield, 1000-grain weight and days to heading. The highest broad sense heritability of 94% was recorded in days to maturity and the lowest heritability of 16% was observed in plant height. Positive and highly significant correlations were found both in genotypic and phenotypic levels between days to heading and days to maturity (rg=0.9999**, rp=0.997**), days to heading and grain yield (rg =0.9999**, rp= 0.9276**), days to maturity and grain yield (rg =0.9796**, rp=0.9174**). However, negative and highly significant genetic correlation was observed between plant height and 1000 grain weight (rg = -0.9999**). Thus results indicated that days to heading, days to maturity, grain yield, 1000 grain weight demonstrated higher heritability and remarkable genetic advance could be considered for the most appropriate traits for improvement and selection of trait to achieve stable and high yielding early rice genotypes under rainfed environments.

scholarly journals Evaluation of F4 Bread Wheat (Triticum aestivum l.) Genotypes for Genetic Variability, Heritability, Genetic Advance and Correlation Studies

2018 ◽  
Vol 6 (1) ◽  
pp. 01-07 ◽  
Author(s):  
Amir Sohail ◽  
Hidayatur Rahman ◽  
Farhat Ullah ◽  
Syed M.A. Shah ◽  
Tanvir Burni ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Days To Heading ◽  
Biological Yield ◽  
1000 Grain Weight

This research was carried out to check genetic variability, heritability and genetic advance in 11 F4 bread wheat (Triticum aestivum L.) genotypes (10 F4 lines and one check) in a randomized block design with three replications at the University of Agriculture Peshawar, Pakistan during 2015-16. Data was/were taken on parameters such as days to heading (days), plant height (cm), flag leaf area (cm2), spike length (cm), grain weight spike-1 (g), 1000-grain weight (g), grain yield plant-1 (g), biological yield plant-1 (g)and harvest index (%). The statistically significant difference(s) was/were detected for the investigated traits.  The high magnitude of heritability (˃0.62) was noted for all parameters except spike length (0.57) which was moderate. Low expected genetic advance was recorded for days to heading (3.90%) and spike length (8.13%), moderate expected genetic advance was observed for plant height (9.95%), grain weight spike-1 (11.54%) and 1000 grain weight (13.41%), while high expected genetic advance was noted for flag leaf area (24.72%), grain yield plant-1 (20.45%), biological yield plant-1 (23.64%) and harvest index (24%). Grain yield plant-1 was non-significantly and positively correlated with days to heading (rG = 0.19NS and rP = 0.07 NS),  plant height (rG = 0.30 NS and rP = 0.26 NS), flag leaf area (rG = 0.25 NS and rP = 0.18 NS), spike length (rG = 0.01 NS and rP = 0.07 NS), grain weight spike-1 (rG = 0.28 NS and rP = 0.22 NS) and 1000-grain weight (rG = 0.02 NS and rP = 0.07 NS) at both genotypic and phenotypic levels. While significantly and positively correlated with biological yield plant-1 (rG = 0.34* and rP = 0.33*) and harvest index (rG = 0.58** and rP = 0.66**) at both genotypic and phenotypic levels. High heritability showed that these traits are under genetic control and single plant selection could be started in F5 generation. The strong correlation of grain yield plant-1 with the mentioned traits showed that grain yield could be indirectly improved by improving these traits.

scholarly journals Genetic Variability and Correlation Coefficients of Major Traits in Early Maturing Rice under Rainfed Lowland Environments of Nepal

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Dev Nidhi Tiwari ◽  
Santosh Raj Tripathi ◽  
Mahendra Prasad Tripathi ◽  
Narayan Khatri ◽  
Bishwas Raj Bastola
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Research Program ◽  
Coefficient Of Variation ◽  
Quantitative Traits ◽  
Correlation Coefficients ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
1000 Grain Weight

Genetic variability is the fundamental requirement of any crop breeding program to develop superior cultivars. The objective of this study was to estimate the genetic variability and find out the correlation among the different quantitative traits of rainfed early lowland rice. The experiment was conducted consecutively two years during 2015 and 2016 in wet season across the four different locations in Regional Agricultural Research Station, Khajura, National Wheat Research Program, Bhairahawa, National Maize Research Program, Rampur, and National Rice Research Program, Hardinath, along the Terai region of Nepal representing subtropical agroclimate. Seven genotypes including Hardinath-1 as standard check variety were evaluated in the randomized complete block design with three replications. Various quantitative traits were measured to investigate the variability and correlation coefficients. All the genotypes and locations showed significant variations for all the traits considered. Genotypic coefficient of variation was lower than phenotypic coefficient of variation for all traits studied. The magnitudes of genotypic coefficient of variations were relatively higher for grain yield, 1000-grain weight, and days to heading. The highest broad sense heritability of 94% was recorded in days to maturity and the lowest heritability of 16% was observed in plant height. Positive and highly significant correlations were found both in genotypic and phenotypic levels between days to heading and days to maturity (rg=0.9999 ⁎⁎, rp=0.997 ⁎⁎), days to heading and grain yield (rg =0.9999 ⁎⁎, rp= 0.9276 ⁎⁎), and days to maturity and grain yield (rg =0.9796 ⁎⁎, rp=0.9174 ⁎⁎). However, negative and highly significant genetic correlation was observed between plant height and 1000-grain weight (rg = -0.9999 ⁎⁎). Thus results indicated that days to heading, days to maturity, grain yield, 1000-grain weight demonstrating higher heritability and remarkable genetic advance could be considered the most appropriate traits for improvement and selection of trait to achieve stable and high yielding early rice genotypes under rainfed environments.

scholarly journals Estimation of genetic parameters of yield and yield traits in wheat genotypes under rainfed conditions

2015 ◽  
Vol 4 (2) ◽  
pp. 193-205 ◽  
Author(s):  
Imran Khan ◽  
Fida Mohammad ◽  
Fahim Ullah Khan
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Development of superior crop varieties is the prime objectives of all plant breeding programs. To determine genetic variability, heritability and genetic advance, 24 elite bread wheat lines were planted in randomized complete block design with three replications at the University of Agriculture, Peshawar under rainfed conditions. Data were recorded on days to heading, days to maturity, plant height (cm), flag leaf area (cm-2), spike length (cm), grain yield (kg ha-1), biological yield (kg ha-1), 1000 grain weight (g), grains spike-1, grain weight spike-1(g), and harvest index (%). Analysis of variance revealed significant differences among genotypes for all the traits studied. Broad sense heritability was high for days to heading (0.89), grain weight spike-1(0.61g), spike length (0.70 cm), 1000-grain weight (0.62g), grain yield (0.78 kg ha-1) and harvest index (0.62%); and was moderate for days to maturity (0.52), plant height (0.38 cm), and grains spike-1 (0.49), while low heritability was estimated for spike weight (0.25g), flag leaf area (0.28 cm-2) and biological yield (0.25 kg ha-1). The values of genetic advance for days to heading, days to maturity, plant height, spike length, grains spike-1, grain weight spike-1, 1000-grain weight, grain yield, biological yield, flag leaf area, and harvest index were; 5.47, 1.88, 4.01, 6.42, 0.16, 5.02, 0.71, 418.83, 379.64, 2.89 and 3.92, respectively. Genotype PR 105 surpassed all other genotypes in grain yield (3144.33 kg ha-1) and hence it can be recommended for rainfed area. DOI: http://dx.doi.org/10.3126/ije.v4i2.12637 International Journal of Environment Vol.4(2) 2015: 193-205

scholarly journals Yield Stability and Genotype Environment Interaction of Water Deficit Stress Tolerant Mung Bean (Vigna radiata L. Wilczak) Genotypes of Bangladesh

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2136
Author(s):  
Mohammad Rafiqul Islam ◽  
Bikas Chandra Sarker ◽  
Mohammad Ashraful Alam ◽  
Talha Javed ◽  
Mohammad Jahangir Alam ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Water Deficit ◽  
Analysis Of Variance ◽  
Mung Bean ◽  
Water Deficit Stress ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Genotype Environment Interaction ◽  
Ammi Analysis

Water deficit stress is a critical abiotic constraint to mung bean production that affects plant growth and development and finally reduces crop yield. Therefore, a field experiment was conducted at five diverse environments using four water stress-tolerant genotypes, namely BARI Mung-8, BMX-08010-2, BMX-010015, and BMX-08009-7, along with two popular cultivated varieties (check) of BARI Mung-6 and BARI Mung-7 to evaluate more stable tolerant genotypes across the country. Stability analysis was performed based on the grain yield. The combined analysis of variance showed significant variations among genotypes, environments, and their interactions. The AMMI analysis of variance indicated that genotype accounted for 91% of the total sum of squares for grain yield, followed by genotype × environment interaction (5%), and environment (4%). Partitioning of interaction indicated that the first three interaction principal components (IPCA1–IPCA3) were highly significant (p ≤ 0.01). Using these significant IPCAs, AMMI stability parameters and non-parameter indices BMX-010015 was found stable across the environment based on yield traits and grain yield. The BMX-08010-2 genotype also showed significant regression coefficient (bi) more than unity, and non-significant deviation from regression (S2di) values, indicating suitable for a favorable environment considering grain yield. So, based on the stability analysis (Eberhart and Russell), additive main effects, and multiplicative interactions (AMMI) analysis, the BMX-010015 and BMX-08010-2 could be suitable for having tolerance to water deficit stress.

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