scholarly journals Genotype x environment interaction and stability analysis of lowland rice genotypes

2012 ◽  
Vol 57 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Lotan Bose ◽  
Marella Nagaraju ◽  
Onkar Singh
Keyword(s):  
Pooled Analysis ◽  
Lowland Rice ◽  
Parameter Analysis ◽  
Environment Interaction ◽  
Eastern India ◽  
Stability Parameters ◽  
Genotype X Environment ◽  
Genotype X Environment Interactions ◽  
Central Rice Research Institute ◽  
Rice Genotypes

Twenty-one lowland rice genotypes were evaluated for their stability parameters with respect to grain yield in a multi-locational trial at five different sites of Eastern India viz. Central Rice Research Institute, Cuttack (Orissa); OUAT, Bhubaneswar (Orissa); CRS, Masodha (UP); RAU, Pusa (Bihar) and RARS, North Lakhimpur (Assam). Pooled analysis of variance reflects existence of genotype x environment interactions and contribution of both linear and non-linear components to genotype x environment interactions. Through stability parameter analysis, it was found that Rayda B3, CR 778-95 and CR 661- 236 were suitable for all environments. The genotypes Sabita and OR 1358-RGA-4 were suitable for better environments. PSR 1209-2-3-2, CR 780-1937, Ambika, OR 877-ST-4-2, NDR 40055-2-1 and CR 662-2211 were identified for poor environments.

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

scholarly journals Genotype-environment interaction and stability analysis of four fine rice varieties

2012 ◽  
Vol 10 (1) ◽  
pp. 1-7
Author(s):  
P L Biswas ◽  
U K Nath ◽  
S Ghosal ◽  
A K Patwary
Keyword(s):  
Stability Analysis ◽  
Plant Height ◽  
Environmental Changes ◽  
Environment Interaction ◽  
Panicle Length ◽  
Rice Varieties ◽  
Stability Parameters ◽  
Panicle Number ◽  
Days To Maturity ◽  
Rice Genotypes

Genotype-environment interactions through different stability parameters and performance traits of four fine rice genotypes were studied. The traits were; days to 50% flowering, days to maturity, plant height (cm), number of effective tillers per hill, panicle length (cm), number of fertile grains per panicle, number of sterile grains per panicle and yield (t/ha) in four fine rice genotypes across nine environments along with experimental farm of Genetics and Plant Breeding department, Bangladesh Agricultural University (BAU) Mymensingh. Significant differences were observed for genotypes, environments and genotypes–environment interaction. Stability analysis after Eberhat and Russell’s model suggested that the genotypes used in study were more or less responsive to environmental changes. Most of the genotypes performed better in Comilla. BAU125 was found stable for effective tillers per hill and comparatively less sensitive to other genotypes in panicle length and number of sterile grains per panicle. BR5 was stable for days to maturity and plant height whereas Kalizira performed better than other genotypes for fertile grains per panicle. In general, only the genotype BAU125 was found stable for effective tillers per hill, panicle length and lowest number of sterile grains per panicle.   DOI: http://dx.doi.org/10.3329/jbau.v10i1.12011   J. Bangladesh Agril. Univ. 10(1): 1–7, 2012  

The influence of crossing strategy on the potential for breeding new crop varieties

1992 ◽  
Vol 32 (1) ◽  
pp. 65
Author(s):  
PS Brennan ◽  
DG Butler
Keyword(s):  
Genetic Variance ◽  
Breeding Population ◽  
Stability Parameters ◽  
Genotype X Environment ◽  
Commercial Importance ◽  
Crop Varieties ◽  
Genotype X Environment Interactions ◽  
Probability Of Success ◽  
Breeding History ◽  
New Crop

Crosses between commercially acceptable varieties and introductions are most likely to generate segregation at many loci of commercial importance. The probability of recovery, after selfing, of individuals in which most of the favourable alleles have been accumulated is very low. Reducing the number of favourable alleles heterozygous in the breeding population would increase the probability of success. The utility of a single backcross (BC1) to the parent with the greatest number of favourable alleles was examined as a method of fixing commercially desirable alleles. The means for stability parameters for yield for BC1F2-derived populations were similar to those for F2-derived populations. The genetic variance for yield in 2 of the 3 crosses studied was greater for the BC1F2- than the F2-derived populations, while the genotype x environment interactions appeared to be smaller for the BC1F2 populations. This suggested that BC1F2-derived populations may be more productive, in terms of varietal production, than F2-derived populations, particularly in species with a long breeding history and/or a large number of desirable characteristics.

scholarly journals Genotype and environment interaction and stability analysis for seed yield in yellow mung bean (Vigna radiata L.)

2014 ◽  
Vol 6 (2) ◽  
pp. 782-785
Author(s):  
B. Arunkumar ◽  
C. R. Konda
Keyword(s):  
Stability Analysis ◽  
Vigna Radiata ◽  
High Performance ◽  
High Stability ◽  
Maximum Yield ◽  
Pooled Analysis ◽  
Mean Value ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Yield Performance

Nine yellow seeded mung (Vigna radiata L.) genotypes were evaluated along with three checks for their yield performance during three years (2007, 2010 and 2011). Pooled analysis of variance and stability analysis were performed. The genotypic (G) × environment (E) interaction and both variance due to genotypes and environment were significant. The portioning of G × E interaction into linear and non-linear components indicated that both predictable and unpredictable components shared the interaction. On the basis of stability parameters, the top yielding genotypes such as BGS-9 (605.444 Kg/Ha), Sel-4 (519.778 Kg/Ha) and China mung (567.000 Kg/Ha) exhibited high mean yield. Based on stability parameters the genotypes YM-5 (459.889 Kg/Ha), YM-8 (451.333 Kg/Ha) exhibited low mean performance along with regression value nearer to unity (bi=1) and non significant deviation from regression (S2 di=0) indicating the high stability and wider adaptability across the three environments. The genotypes BGS-9 (605.444 Kg/Ha) and Sel-4 (519.778 Kg/Ha) exhibited high mean value and bi values (bi>1) and non significant deviation (S2 di < 0) value indicating adapted for high performance environments (These genotypes are sensitive to environments and give maximum yield when inputs are not limited).

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 Interaksi Genotipe x Lingkungan untuk Hasil Gabah Padi Sawah

2016 ◽  
Vol 35 (2) ◽  
pp. 89
Author(s):  
Trias Sitaresmi ◽  
Cucu Gunarsih ◽  
Nafisah Nafisah ◽  
Yudhistira Nugraha ◽  
Buang Abdullah ◽  
...  
Keyword(s):  
Grain Yield ◽  
Maximum Yield ◽  
Yield Potential ◽  
Environment Interaction ◽  
Wet Season ◽  
Genotype X Environment ◽  
Experiment Unit ◽  
Check Variety ◽  
Rice Genotypes ◽  
High Degree

Grain yield of rice is determined by genotype (G), environment (E), and interaction between genotype x environment (G x E). Variety can achieve its maximum yield potential if it is grown in suitable environments. This study was aimed to determine the adaptability and the yield stability of rice genotypes grown in different environments. Sixteen rice genotypes were tested using RBD in 16 sites during the wet season of 2010/2011, and dry season of 2011. The tested rice lines were developed for resistance to pest and diseases. The experiment unit was 4 m x 5 m of plot, plants were fertilized with urea, SP36, and KCl at rates of 250 kg/ha, 100 kg/ha, and 100 kg/ha, respectively. Variable observed was grain yield per plot. Combined analyses of variance showed that there was no lines yielded higher than did check variety Conde. The AMMI analysis showed that the largest variation was contributed by the environment factors (76.49%), genotype x environment interactions (17.55%), and the smallest was contributed by the genotypes (5.97%). Data exploration using boxplot method indicated that the low contribution of the genotype x environment interaction variance in this study was due to the high degree of similarity of yield potentials among the genotypes, and due to high similarity of environmental conditions of the sites.Based on the analysis of AMMI 2, lines B12743 - MR-18-2-3-8, IPB107-F-82-2-1, and Conde was each classified as widely adapted genotypes, while G8, IPB107-F-27-6-1, and BIO111-2-BC-PIR-3714, each was considered as genotype having a specific adaptation.

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