Stability for disease, genotype x environment interaction for yield andits components in pigeonpea [Cajanus cajan (L.) Millsp.]

2016 ◽  
Author(s):  
S Muniswamy ◽  
R. Lokesha ◽  
Yamanura ◽  
Ramesh ◽  
J. R. Diwan
Keyword(s):  
Fusarium Wilt ◽  
Seed Yield ◽  
Agricultural Research ◽  
Mosaic Disease ◽  
Genotype X Environment Interaction ◽  
Research Station ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Genotype X Environment ◽  
Lattice Design

The material for study of genotype x environment (G x E) interaction comprised of 23 genotypes, which were tested in four environments, during kharif-2012 and 2013 at two locations in Agricultural Research Station, Kalaburagi and Raddevadgi located in north eastern dry zone (Zone 2) of Karnataka. The experiment was laid out in lattice design with two replications. Highly significant differences among genotypes were observed for all the characters except number of pods per plant and yield per plant. Environmental +(Genotype x Environment) interaction was significant for days to 50 per cent flowering, day to maturity, plant height, pod bearing length, number of pods per plant and seed yield per plant. The variance due to pooled deviation was highly significant for all the characters which reflect the presence of sufficient genetic variability in the material. Stability parameters for seed yield per plant indicated that ASHA(ch) was stable and desirable, followed by RVK-275 and GRG-811 which were specifically adopted for favourable and poor environments respectively. Two years of field screening for Fusarium wilt (FW) and Sterility Mosaic Disease (SMD) yielded three genotypes viz., GRG-811, GRG-2009 and ASHA for resistance to Fusarium wilt and moderate resistance to SMD. Hence, these genotypes can be used directly as a variety or choice of parent for hybridization programme.

scholarly journals AMMI Biplot Analysis for Genotype X Environment Interaction and Stability for Yield in Hybrid Rice (Oryza sativa L.) Under Different Production Seasons

2020 ◽  
pp. 169-175
Author(s):  
K. Rukmini Devi ◽  
V. Venkanna ◽  
N. Lingaiah ◽  
K. Rajendra Prasad ◽  
B. Satish Chandra ◽  
...  
Keyword(s):  
Agricultural Research ◽  
Oryza Sativa L ◽  
Genotype X Environment Interaction ◽  
Yield Potential ◽  
Research Station ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Stability Performance ◽  
Ammi Analysis ◽  
Stable Performance

The aim of the study was to determine the genotype x environment interaction and stability performance of fifteen rice hybrids in three different production seasons during 2016, 2017 at Regional Agricultural Research Station, Warangal, Telangana.  Data was subjected to the additive mean effects and multiplicative interaction (AMMI) analysis, results indicated that significant genotype x environmental interaction (GEI) influenced the relative ranking of the hybrids across the seasons. It was evident from AMMI analysis that first two principal components accounted for 94.09%, which is enough to explain the variability among the hybrids. The hybrids, G9 (WGRH 18), G8 (WGRH-17) and G12 (WGRH-22) and G3 (WGRH-10), exhibited high grain yield. The AMMI 2 biplot revealed that the rice genotype, G15 (WGL-14), close to the origin indicated non sensitive nature of this genotype with the seasons and highly stable genotype across the environments with low yield potential when compared to hybrids. Whereas the rice hybrids, G9 (WGRH-18), G8 (WGRH-17), G3 (WGRH-10) and G5 (WGRH-14), were also close proximity to origin and have limited interaction with the seasons. The rice hybrid, G9 (WGRH-18), has high mean yield with stable performance over three environments being the overall best can be considered for the release after through conformation.

scholarly journals Comparative Study of AMMI- and BLUP-Based Simultaneous Selection for Grain Yield and Stability of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes

2022 ◽  
Vol 12 ◽  
Author(s):  
N. Anuradha ◽  
T. S. S. K. Patro ◽  
Ashok Singamsetti ◽  
Y. Sandhya Rani ◽  
U. Triveni ◽  
...  
Keyword(s):  
Finger Millet ◽  
Agricultural Research ◽  
Harmonic Mean ◽  
Relative Performance ◽  
Research Station ◽  
Environment Interaction ◽  
Average Yield ◽  
Stability Parameters ◽  
Early Maturity ◽  
Simultaneous Selection

Finger millet, an orphan crop, possesses immense potential in mitigating climate change and could offer threefold security in terms of food, fodder, and nutrition. It is mostly cultivated as a subsistence crop in the marginal areas of plains and hills. Considering the changes in climate inclusive of recurrent weather vagaries witnessed every year, it is crucial to select stable, high-yielding, area-specific, finger millet cultivars. Sixty finger millet varieties released across the country were evaluated over six consecutive rainy seasons from 2011 to 2016 at the Agricultural Research Station, Vizianagaram. The genotype × environment interaction (GEI) was found to be significant in the combined ANOVA. Furthermore, the Additive Main effects and Multiplicative Interaction (AMMI) analysis asserted that genotypes and the GEI effects accounted for approximately 89% of the total variation. Strong positive associations were observed in an estimated set of eleven stability parameters which were chosen to identify stable genotypes. Furthermore, Non-parametric and Parametric Simultaneous Selection indices (NP-SSI and P-SSI) were calculated utilizing AMMI-based stability parameter (ASTAB), modified AMMI stability value (MASV), and Modified AMMI Stability Index (MASI) to identify stable high yielders. Both methods had inherent difficulties in ranking genotypes for SSI. To overcome this, the initial culling [i.e., SSI with culling strategy (C-SSI)] of genotypes was introduced for stability. In the C-SSI method, the top ten genotypes were above-average yielders, while those with below-average yield were observed in NP-SSI and P-SSI methods. Similarly, the estimation of best linear unbiased prediction (BLUP)-based simultaneous selections, such as harmonic mean of genotypic values (HMGV), relative performance of genotypic values (RPGV), and harmonic mean of relative performance of genotypic values (HMRPGV), revealed that none of the top ten entries had below-average yield. The study has proven that C-SSI and BLUP-based methods were equally worthy in the selection of high-yielding genotypes with stable performance. However, the C-SSI approach could be the best method to ensure that genotypes with a considerable amount of stability are selected. The multi-year trial SSI revealed that entries Indaf-9, Sri Chaitanya, PR-202, and A-404; and VL324 and VL146 were ascertained to be the most stable high-yielding genotypes among medium-to-late and early maturity groups, respectively.

scholarly journals Genotype by environment interaction analysis of wheat (Triticum aestivum L.) grain yield under rain-fed conditions in Zambia

2021 ◽  
Vol 53 (4) ◽  
pp. 609-619
Author(s):  
B. Tembo
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Interaction Analysis ◽  
Crop Improvement ◽  
Genotype By Environment Interaction ◽  
Research Station ◽  
Environment Interaction ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Genotype By Environment

Understanding genotype by environment interaction (GEI) is important for crop improvement because it aids in the recommendation of cultivars and the identification of appropriate production environments. The objective of this study was to determine the magnitude of GEI for the grain yield of wheat grown under rain-fed conditions in Zambia by using the additive main effects and multiplicative interaction (AMMI) model. The study was conducted in 2015/16 at Mutanda Research Station, Mt. Makulu Research Station and Golden Valley Agricultural Research Trust (GART) in Chibombo. During2016/17, the experiment was performed at Mpongwe, Mt. Makulu Research Station and GART Chibombo, Zambia. Fifty-five rain-fed wheat genotypes were evaluated for grain yield in a 5 × 11 alpha lattice design with two replications. Results revealed the presence of significant variation in yield across genotypes, environments, and GEI indicating the differential performance of genotypes across environments. The variance due to the effect of environments was higher than the variances due to genotypes and GEI. The variances ascribed to environments, genotypes, and GEI accounted for 45.79%, 12.96%, and 22.56% of the total variation, respectively. These results indicated that in rain-fed wheat genotypes under study, grain yield was more controlled by the environment than by genetics. AMMI biplot analysis demonstrated that E2 was the main contributor to the GEI given that it was located farthest from the origin. Furthermore, E2 was unstable yet recorded the highest yield. Genotype G47 contributed highly to the GEI sum of squares considering that it was also located far from the origin. Genotypes G12 and G18 were relatively stable because they were situated close to the origin. Their position indicated that they had minimal interaction with the environment. Genotype 47 was the highest-yielding genotype but was unstable, whereas G34 was the lowest-yielding genotype and was unstable.

scholarly journals Performance analysis of spring wheat genotypes under rain-fed conditions in warm humid environment of Nepal

2015 ◽  
Vol 4 (2) ◽  
pp. 289-295
Author(s):  
Ramesh Raj Puri ◽  
Nutan Raj Gautam
Keyword(s):  
Research Council ◽  
Agricultural Research ◽  
Research Station ◽  
Environment Interaction ◽  
Participatory Varietal Selection ◽  
Early Maturity ◽  
Lattice Design ◽  
Agricultural Research Council ◽  
Water Stress Tolerance ◽  
Small Plot

Around 25% of total wheat area in Terai of Nepal falls under rain-fed and partially irrigated condition. A Coordinated varietal trial (CVT) was conducted during two consecutive crop cycles (2011-12 and 2012-13) under timely sown rain-fed conditions of Terai. The trial was conducted in Alpha Lattice design with two replications at Nepal Agricultural Research Council, National Wheat Research Program, Bhairahawa and Nepal Agricultural Research Council, Regional Agriculture Research Station, Nepalgunj. Observations were recorded for yield and yield traits and analyzed using statistical software Cropstat 7.2.The combined analysis of coordinated varietal trial showed that BL 3978 possessed the highest yield (2469.2 Kg ha-1) followed by NL 1097 (2373.2 Kg ha-1) and NL 1094 (2334.06 Kg ha-1). Genotype x Environment interaction for grain yield was significant (p<0.05) over locations and years. BL 3978 with early maturity (111 days) escaped the heat stress environment. Among the top three genotypes, BL 3978 was consistently higher in both favorable and unfavorable conditions. Earliness was one of the major traits for heat tolerant genotypes. The three identified genotypes will be further evaluated in participatory varietal selection or coordinated farmers field trial followed by small plot seed multiplication (seed increase) and release in the future for timely sown rain-fed conditions. These lines also appear suitable for inclusion in crossing program targeted for water stress tolerance variety development. DOI: http://dx.doi.org/10.3126/ije.v4i2.12649 International Journal of Environment Vol.4(2) 2015: 289-295

scholarly journals Interaksi Genotipe x Lingkungan dan Stabilitas Hasil Biji Kedelai Toleran Naungan

2016 ◽  
Vol 44 (1) ◽  
pp. 16
Author(s):  
Titik Sundari ◽  
Novita Nugrahaeni ◽  
Dan Gatut Wahyu Anggoro Susanto
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Randomized Block Design ◽  
Shade Condition ◽  
Generative Phase ◽  
100 Seed Weight ◽  
Pod Number

ABSTRACT<br /><br />Twelve soybean shade tolerant promising lines and two check varieties, Pangrango and Argomulyo, were evaluated in eight locations covered varying degree of shades. The objective of this study was to assess the effect of genotype x environment interaction on seed yield and yield components, as well as on adaptation and yield stability of the lines  under those environments. The trial, in each location, was arranged in randomized block design repeated four times. The traits evaluated were days of flowering, maturity days, plant height, pod number, 100 seed weight, and seed yield. Light intensity was measured during generative phase, started at plants’ 30 days old,  two week interval. The results showed that genotype x environment interaction significantly affected those evaluated traits. Stability analysis revealed that four lines, i.e., IBK5-173-5-372, IBM22-861-2-22, IBM22-862-4-1, and IBM22-867-4-7 poorly adapted to the environments as indicated by coefficient regressions approximating 1.0 and low yield average. Eight lines, i.e., IBK5-143-3-7, IBK5-147-2-11, IBK5-172-4-36, IBK5-173-5-371, IIj9-299-1-4, IBM22-873-1-13, IBIj11-431-2-20, and AI26-1114-8-28, and the two check varieties, Pangrango and Argomulyo, were unstable. Of the 13 unstable genotypes, two lines, AI26-1114-8-28  and IBM22-873-1-13, gave higher average yield under shade condition (35%-70% shading level), 1.68 t/ha and 1.36 ton ha-1, respectively, than the two check varieties.<br /><br />Keywords: adaptation, Glycine max<br /><br />

scholarly journals G x E Interaction and path analysis for yield and its attributing traits in advanced genotypes of pigeonpea [Cajanus cajan (L.) Millsp.]

2016 ◽  
Vol 8 (2) ◽  
pp. 616-621
Author(s):  
Ramesh Ramesh ◽  
S. Muniswamy ◽  
Yamanura Yamanura ◽  
Bharathi Bharathi
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Seed Yield ◽  
Agricultural Research ◽  
Research Station ◽  
Flower Initiation ◽  
Environment Interaction ◽  
Days To Maturity ◽  
The Stability ◽  
Positive Direct

The present investigation was carried out during kharif-2012, 2013 and 2014 under rain fed condition at the Agricultural Research Station, Kalaburagi located in north eastern dry zone (Zone 2) of Karnataka, to know the stability and path analysis of the twenty genotypes of pigeonpea including check WRP-1. Highly significant differences among genotypes were observed for all the characters except primary branches. Environmental + (Genotype × Environment) interaction was significant for days to maturity, primary branch, pod bearing length, and seed yield per plant. The variance due to pooled deviation was highly significant for all the characters except for primary branches, pod length and number of seeds per pod which reflect the presence of sufficient genetic variability in the material. Out of 20 genotypes studied, RVK-275 (X=38.713, bi=1.7 and S2di = -9.67) and AKT-9913 (X =43.397, bi=2.86 and S2di= -7.42) were found to be a stable for seed yield and test weight, across the environments with good stability under rain fed conditions compared to local check. Path analysis revealed that days to flower initiation (3.942 and 1.123), days to maturity (1.493 and 0.960), primary branches (0.667 and 0.045), pod bearing length (1.153 and 0.394), number of pods per plant (0.661 and 0.463) and 100 seed weight (0.352 and 0.426) had the highest positive direct effect on grain yield both at genotypic and phenotypic level. For maximizing the grain yield per plant emphasis should be given in selection of such characters for further improvement in pigeonpea.

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