Stability Analyses using Regression and AMMI Models for Seed Yield in Blackgram

2020 ◽  
Author(s):  
N. Manivannan ◽  
A. Mahalingam ◽  
K. Bharathikumar ◽  
K. Rajalakshmi
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Research Centre ◽  
Local Conditions ◽  
Ecological Zones ◽  
Randomized Block Design ◽  
Ammi Analysis ◽  
The Stability ◽  
Ideal Genotype ◽  
Almost All

Background: Blackgram is an important pulse crop grown in almost all agro ecological zones in India. One of the major limitations of pulse cultivation in India is lack of superior genotypes with better adaptation to local conditions. Hence developing high yielding stable blackgram genotypes becomes a necessity to improve the area and production across the country. With this background, the present study was undertaken to identify stable and superior performing blackgram genotypes over seasons. Methods: The experiment was carried out during kharif 2017, rabi 2017-18, kharif 2018 and rabi 2018-19 at National Pulse Research Centre, Vamban. A total of 21 genotypes were evaluated in randomized block design with two replications in each environment. The data on seed yield was subjected to statistical analysis. The G X E interaction was studied as per Eberhart and Russell model, AMMI model and GGE biplot analyses. Result: In Eberhart and Russell model, the checks VBN 6, VBN 8 and VBN 10 and genotypes VBG 17-019, VBG 17-023 and VBG 17-026 were considered as stable with average response to the environments. In biplot 1 of AMMI analysis, check VBN 8 and genotypes VBG 16-005 and VBG 17-023 were considered as stable with high mean seed yield and less interaction with environment. In biplot 2 of AMMI analysis VBG 16-005 and VBG 007 were less interactive genotypes. GGE biplots indicated that rabi seasons are more informative than kharif seasons to assess the stability of genotypes. This model identified VBG 17-007, VBG 17-024 and VBG 17-030 as ideal genotype with high mean seed yield and stability. It also identified VBG 17-023 as with high mean seed yield and moderate interaction with environment. Based on the results of all models, the genotype VBG 17-023 was considered as stable genotype with high mean seed yield. Hence, the genotype VBG 17-023 can be tested in larger environments to release for general cultivation.

scholarly journals AN INVESTIGATION ON HETEROSIS, GENERAL AND SPECIFIC COMBINING ABILITY FOR POD YIELD AND ITS CONTRIBUTING PARAMETERS IN OKRA [ABELMOSCHUS ESCULENTUS (L.) MOENCH]

2021 ◽  
Vol 9 (08) ◽  
pp. 334-341
Author(s):  
Shailesh Kapadia ◽  
◽  
Kirti Patel ◽  
P.K. Patel ◽  
Mempal D. ◽  
...  
Keyword(s):  
Combining Ability ◽  
Quantitative Traits ◽  
Block Design ◽  
Abelmoschus Esculentus ◽  
F1 Hybrids ◽  
Research Centre ◽  
Pod Yield ◽  
Randomized Block Design ◽  
Per Se ◽  
Almost All

The heterosis and combining ability studies were conducted by utilizing modified Line X Tester mating design involving 6 Lines and 9 testers of Okra [Abelmoschus esculentus (L.) Moench]. The breeding material involving fifty four F1 hybrids along with 15 parents with one commercial check were evaluated during Kharif 2020 in a Randomized Block Design (R.B.D.) with three replications at Research Centre of Goldking Biogene Private Limited with an aim to estimate the magnitude of heterosis and to identify the good parents and good hybrid combinations for pod yield and other quantitative traits. Among the parents GKOF-1, GKOF-5 and GOM-7 were found to be good general combiners for pod yield per plot. Among the lines GKOF-3, GKOF-4 and GKOF-6 and testers GKOM-4, GKOM-5, GKOM-7 and GKOM-9 were found to be involved in exhibiting significant sca effects for almost all characters. Among the crosses GKOF-2 X GKOM-5, GKOF-1 X GKOM-8 and GKOF-6 X GKOM-7 exhibited high per se performance for pod yield per plot. Further the cross GKOF-1 X GKOM-7, GKOF-4 X GKOM-9 and GKOF-6 X GKOM-4 revealed highest positively significant sca effects for pod yield per plot.

Stability of fenugreek (Trigonella foenum-graecum L.) genotypes for terminal heat and water stress

2015 ◽  
Vol 38 (5) ◽  
Author(s):  
Suresh Kumar Meena ◽  
E. V. Divakara Sastry ◽  
S. S. Rajput ◽  
Yogesh Pandey
Keyword(s):  
Seed Yield ◽  
Regression Coefficient ◽  
Block Design ◽  
Stability Parameters ◽  
Trigonella Foenum Graecum ◽  
Randomized Block Design ◽  
Ammi Analysis ◽  
Component Traits ◽  
The Mean ◽  
Irrigation Levels

Thirty genotypes of fenugreek (<italic>Trigonella foenum-graecum</italic> L.) were evaluated over four environments in randomized block design with 3 replications to estimate stability parameters of seed yield and its important component traits. The environments were created by changing the dates of sowing and irrigation levels. The genotypes interacted with the environments significantly indicating non linear response of genotypes to environments. Simple correlations between seed yield and other traits indicated that pods per plant and the test weight are the two important component traits. Stability analysis indicated difference in stability among the genotype for seed yield and the component traits. A positive correlation was noted between the regression coefficient and the mean seed yield of the genotypes, thus hypothesizing that higher yielding genotypes were better suited to better environments. The results of AMMI analysis corroborated with the results obtained from stability anlaysis, although AMMI analysis provided a better chance to delineate the genotypes and environments. Genotypes UM-137, UM-128, UM-322 and RMt-1 are found relatively stable for seed yield.

scholarly journals Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology

2018 ◽  
Vol 72 (1) ◽  
pp. 37
Author(s):  
Samaneh Yari ◽  
Naser Sabaghnia ◽  
Mokhtar Pasandi ◽  
Mohsen Janmohammadi
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Selection Strategy ◽  
Large Contribution ◽  
Multiple Traits ◽  
Breeding Programs ◽  
Randomized Block Design ◽  
Effective Selection ◽  
Improvement Programs ◽  
Ideal Genotype

<p>Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes with multiple traits. For this propose, 18 rye genotypes with specific characteristics were evaluated in randomized block design with four replications. The GT biplot for rye dataset explained 61% of the total variation of the standardized data (the first two principal components explained 40 and 21% respectively). The polygon view of GT presented for 11 different traits of rye cultivars showed six vertex cultivars as G1, G3, G6, G8, G11 and G13 whose genotype G8 had the highest values for most of the measured traits. Generally based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, first internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs.</p>

Induced Genetic Variability through Physical and Chemical Mutagens in M2 Generation of Greengram

2020 ◽  
Author(s):  
Akashi , , , , , Sarma ◽  
V. J. Dhole ◽  
A. Bhattacharjee ◽  
P. Das ◽  
D. Sarma ◽  
...  
Keyword(s):  
Seed Yield ◽  
Gene Action ◽  
Block Design ◽  
Positive Correlation ◽  
Randomized Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Almost All ◽  
Physical And Chemical ◽  
Pod Length

Uniform and healthy seeds of green gram cv. Pratap (SG-1) were treated with two mutagens, gamma rays (physical mutagen) and EMS (chemical mutagen) alone and in combination. The two hundred forty M1 progenies were laid in randomized block design with three replications during Kharif, 2017 to raise M2 generation. Analysis of variance discloses significant differences among the treatments for all the eight characters studied. It was observed that in general, the combination dose, i.e., 200 Gy+0.2% EMS gave superior results in almost all the yield attributing characteristics. High heritability coupled with high genetic advance was recorded for seed yield per plant, which indicates the predominance of additive gene action. Number of pods per plant followed by pod length showed high significant positive correlation with seed yield per plant. The character number of pods per cluster had shown positive correlation with seed yield per plant, but path analysis revealed its negative direct effect on seed yield.

scholarly journals Stability analysis of pigeon pea genotypes by deployment of AMMI model under rainfed environment

2016 ◽  
Author(s):  
Jogendra Singh ◽  
Amit Kumar ◽  
Abdul Fiyaz R ◽  
Muneendra Kumar Singh
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Interaction Model ◽  
Principal Component ◽  
Pigeon Pea ◽  
Sum Of Squares ◽  
Stable Performance ◽  
One Year ◽  
The Stability ◽  
Almost All

Twenty one genotypes of pigeon pea were evaluated in a randomized complete block design during the Kharif season of 2007-08, 2008-09 and 2009-10 based upon number of primary branches per plant, pod length, number of grains per pod, 100-seed weight and seed yield per plant. The stability was studied by deploying AMMI (additive main effects and multiplicative interaction) model. The significant differences among the years were observed and measured more than 50% of the treatment sum of squares. First principal component axis (PCA1) of the interaction captured more than 60% of the interaction sum of squares for almost all the traits studied. The mean seed yield per plant was found highest (39.15 g) and at par similar in all the three years. Nine stable and high yielding genotypes viz., PUSA 2003-1; CORG-2001-5; WREG- 28; PANT-A-286; H-94-6; GT 101; ICPL-99004; ICPL-85010 and UPAS-120 exhibited stable performance under the rainfed environmental conditions for more than one traits studied and also under more than one year.

AMMI analysis for stability of chickpea

2016 ◽  
Author(s):  
M. M. Balapure ◽  
L. B. Mhase ◽  
N. S. Kute ◽  
V. Y. Pawar
Keyword(s):  
Analysis Of Variance ◽  
Seed Yield ◽  
Block Design ◽  
Sowing Date ◽  
Improvement Project ◽  
Randomized Block Design ◽  
Ammi Analysis ◽  
Stable Performance ◽  
The Mean

Five elite chickpea genotypes along with three check varieties were grown in eight environments during rabi 2011-12 season at Pulses Improvement Project, Mahatma Phule Agricultural University, Rahuri to check their stability. The genotypes were grown in randomized block design with three replications. The AMMI analysis of variance for seed yield clearly indicates that the mean sum of square for genotypes is significant, suggesting broad range of diversity among genotypes. The environmental variances are highly significant for all the characters. G x E mean sum of square was significant for seed yield which indicates that the performance of genotypes was differential over the environments. The proportion of sum of square for G x E for seed yield kg/plot was 26.04 %. Three genotypes viz., Phule G-07102, Phule G-09103 and Digvijay exhibited stable performance over all environment (non-interacting)for seed yield kg/plot. The environments E3 (sowing date 1/11/2011), E4 (sowing date 16/11/2011) and E5 (sowing date 1/12/2011) had good conditions for most of the genotypes while at the same time, the PCA score for these three environments were nearly zero indicating all genotypes produced fairly stable seed yield.

scholarly journals VARIABILITY AND TRAIT RELATION BETWEEN YIELD AND YIELD RELATED TRAITS IN FRENCH BEAN (PHASEOLUS VULGARIS L.)

2021 ◽  
Vol 21 (No 1) ◽  
Author(s):  
K.N. Shah ◽  
D.K Rana ◽  
V. Singh
Keyword(s):  
Block Design ◽  
Positive Association ◽  
Dry Weight ◽  
French Bean ◽  
Research Centre ◽  
Significant Positive Association ◽  
Randomized Block Design ◽  
High Heritability ◽  
Almost All ◽  
Pod Length

Seventeen genotypes of French bean were evaluated to study the genetic variability component and correlation. The research was conducted at Horticultural Research Centre, Chauras Campus, H.N.B. Garhwal University, Srinagar (Garhwal), Uttarakhand (India) during zaid season, 2018. The experiment was laid out in randomized block design with three replications. The genotypic and phenotypic coefficient of variation values were high for fresh weight of nodules & dry weight of nodules per plant, number of pods per plant, pod diameter, yield of green pods per plant, per plot & per hectare and number of picking. The high heritability was found for almost all the traits studied. The yield of green pods per plot had significant positive association both at genotypic and phenotypic levels for number of pods per plant, pod weight, pod length, pod diameter, yield of green pods per plant, number of picking and yield of green pod per hectare. The selection of high yielding genotypes should be given emphasis to number of pod per plant, pod weight, pod length, pod diameter and number of pickings.

scholarly journals Stability analysis for seed yield and yield attributing traits in fennel (Foeniculum vulguare mill.)

1970 ◽  
pp. 74
Author(s):  
S L Sawargaonkar, A K Singh, S Sahu
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
Environmental Changes ◽  
Block Design ◽  
Genotypic Differences ◽  
Phenotypic Stability ◽  
G X E Interaction ◽  
Randomized Block Design ◽  
High Yielding Varieties ◽  
The Stability

Study was carried to evaluate phenotypic stability of 13 genotypes of fennel for seed yield and yield attributing traits. Out of 13 genotypes, three were checks (RF 205, RF 201 and local fennel) grown in Randomized Block Design (RBD) with three replications in each year. The significant genotypic differences were observed for all the characters suggesting differential responses of genotypes to the environmental changes. The results showed that among 13 genotypes RF 205 and Local fennel were found stable for seed yield/ plant, FNL 69 for days to flower, FNL 70 and RF 101 for primary branches/ plant, FNL 74 for umbels/ umbellet and FNL 71 for umbels/ plant. The results revealed that some reliable predictions about G x E interaction as well as its unpredictable components contributed significantly in determining the stability of genotypes. The wider stability recorded by RF 205, RF 201 and local fennel during all the three years which will be useful for development of high yielding varieties of fennel.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

Effect of Integrated Nutrient Management on Yield and Quality of Garlic cv. Yamuna Safed-3

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
A B Priyanshu ◽  
M K Singh ◽  
Mukesh Kumar ◽  
Vipin Kumar ◽  
Sunil Malik ◽  
...  
Keyword(s):  
Nutrient Management ◽  
Block Design ◽  
Quality Parameters ◽  
Organic Fertilizers ◽  
Research Centre ◽  
Yield And Quality ◽  
Randomized Block Design ◽  
The Impact ◽  
Horticultural Research

An experiment was conducted at Horticultural Research Centre, SVP University of Agriculture and Technology, Meerut (UP) during Rabi season of 2018-19 to assess the impact of different INM doses on yield and quality parameters of garlic. A total of ten treatments consisting of combinations of inorganic fertilizers, organic fertilizers and bio-fertilizers like T1- (Control), T2RDF (100:50:50 kg NPK ha-1), T3-RDF + 20 kg sulphur + FYM 20 ton ha-1, T4- RDF + 20 kg sulphur + VC 4 ton ha-1, T5- 75% RDF + 40 kg sulphur + 5 ton FYM ha-1+ PSB 5 kg ha-1, T6-75% RDF + 40 kg sulphur + 2 ton VC + Azotobacter 5 kg ha-1, T7- 75% RDF + 40 kg sulphur + FYM 3 ton + VC 1 ton+ PSB 5 kg + Azotobacter 5kg ha-1, T8- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg ha-1, T9- 50% RDF + 40 kg sulphur + FYM5 ton + VC 2 ton+ Azotobacter 5 kg ha-1and T10- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg + Azotobacter 5 kg ha-1 were used in Randomized Block Design and replicated thrice. Out of these an application of T7 (75% RDF + 40 kg sulphur + FYM3 ton + VC 1 ton ha-1 + PSB 5 kg + Azotobacter 5 kg ha-1) was found to be significantly superior in term of yield and attributing parameters of garlic.

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