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.

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.

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.

Heterosis, inbreeding depression and their relationship with genetic divergence in sesame ( Sesamum indicum L.)

2010 ◽  
Vol 58 (3) ◽  
pp. 313-321 ◽  
Author(s):  
P. Banerjee ◽  
P. Kole
Keyword(s):  
Plant Height ◽  
Inbreeding Depression ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Basic Material ◽  
Branch Number ◽  
Randomized Block Design ◽  
Component Traits ◽  
Pure Lines

Seven parents (CST2002, MT34, OS-Sel-2, TKG22, AAUDT9304-14-4, B67 and Rama), their 21 F 1 s and 21 F 2 s were grown in summer 2003 in a randomized block design with three replications. Heterosis and inbreeding depression were studied for seven important yield-contributing characters (plant height, branch number plant −1 , capsules plant −1 , seeds capsule −1 , 1000-seed weight, stick yield plant −1 and seed yield plant −1 ). Maximum heterosis for seed yield plant −1 over the mid- and better-parent was recorded in CST2002×TKG22 (43.30%) and MT34×B67 (27.22%), respectively. Mid-parent heterosis for seed yield plant −1 was due to cumulative heterosis for various important component traits, such as capsules plant −1 , seeds capsule −1 and 1000-seed weight. Inbreeding depression was highest for seed yield, followed by 1000-seed weight, capsules plant −1 , branch number and plant height, indicating the predominance of non-additive genetic effects. B67×Rama exhibited significant positive heterosis in F 1 , but non-significant inbreeding depression in F 2 for seed yield. This cross can be utilized as basic material for identifying better pure lines. The clustering pattern indicated that in general genetically diverse parents exhibited more heterosis, as evident in the majority of the crosses.

scholarly journals Genotypes x Environments Interaction of Soybean Lines in Various Shading Environments

2021 ◽  
pp. 77-92
Author(s):  
Titik Sundari ◽  
G. W. A. Susanto ◽  
Novita Nugrahaeni ◽  
. Suhartina ◽  
. Purwantoro ◽  
...  
Keyword(s):  
Seed Yield ◽  
High Weight ◽  
Regression Coefficient ◽  
Block Design ◽  
Field Research ◽  
Randomized Block Design ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Check Variety ◽  
Land Space

Soybean (Glycine max (L) Merr.) planted in land space among stands of other crops especially forest trees experience shading stress due to less sunlight penetration. The objective of the study was to identify the performance and yield stability of soybean genotypes in various shading environments. Field research was conducted in 2018 on 15 soybean genotypes consisted of 12 promising soybean lines and three check varieties (Dena 1, Dena 2, and Grobogan) in 10 shading environments (cassava, maize, orange, teak, eucalyptus, oil palm, and no shading). Randomized block design and repeated four times was used in each location. Result of the study showed that the response of the genotypes to grain yield was significantly difference in each environment or location. Stability of genotypes were grouped into 3, namely 1 genotype classified as unstable and recommended for less optimal environments, 6 genotypes (5 promising lines and 1 check variety) which were classified as stable and adaptive in 10 test locations, and 8 genotypes (6 promising lines and 2 check varieties) classified as unstable in 10 test locations. Based on seed yield and yield components average, one line (Grob/Pander-395-2) had a high average seed yield (1.84 tha-1), high seeds weight per plant (14.8 g), high weight of 100 seeds (21.6 g), and stable in 10 location (indicated by non significant both regression coefficient and regression deviation). Therefore, Grob/Pander-395-2 could be recommended for being grown in shading environments across the country.

scholarly journals Induced polygenic variability in sesame by combining hybridization and recurrent mutagenesis in F3M3 generation

2020 ◽  
Vol 49 (4) ◽  
pp. 1141-1149
Author(s):  
Rajesh Kumar Kar ◽  
Tapash Kumar Mishra ◽  
Banshidhar Pradhan
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Correlation Study ◽  
Mean Value ◽  
Combined Effects ◽  
Ethyl Methane Sulphonate ◽  
Randomized Block Design ◽  
Methane Sulphonate ◽  
Component Traits ◽  
Induced Mutagenesis

The investigation was made to estimate the combined effects of hybridization and ethyl methane sulphonate (EMS) induced mutagenesis on the variability of seed yield and its attributes in F3M3 generation. A total of 15 populations were grown in randomized block design (RBD) with three replications. F3M3 results indicated an increase in variability for plant height, number of capsules per plant and seed yield per plant, whereas non significant variability was observed for number of primary branches per plant in mutant populations than respective controls. Increased mean value and increase in variability in the present investigation denoted the occurrence of more favorable mutations and breaking up of undesirable linkages with enhancing recombination. Correlation study in F3M3 generation indicated remarkable changes among seed yield per plant and its component traits and these changes might have come through independent polygenic mutations and enhanced recombination of polygenes affecting different traits. The outcome of this study will facilitate in understanding the effectiveness of combined effects of hybridization and EMS induced mutagenesis for sesame improvement.

scholarly journals Combining ability analysis in linseed (Linum usitatissimum L.) for improvement of seed yield and its component traits

2016 ◽  
Vol 8 (1) ◽  
pp. 1-4
Author(s):  
Vivek Kumar Singh ◽  
Vijay Sharma ◽  
Mohit Chaudhary ◽  
Sunil Kumar Paswan ◽  
Azad Ahmad ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Combining Ability ◽  
Block Design ◽  
Hybrid Vigour ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Diallel Mating Design ◽  
Component Traits ◽  
High Yielding Varieties

Twenty eight hybrids developed from eight genotypes of linseed through diallel mating design (excluding reciprocal) along with one checks viz., Shekhar were evaluated in randomized block design with three replications for eleven distinct morphological traits during rabi season of 2012-13, to estimate the general combining ability (GCA) of the parents and specific combining ability (SCA) of hybrids considered for the development of high yielding varieties. The analysis of variance for combining ability revealed significant mean sum of squares due to GCA and SCA for all the traits under study. Genotype EC-1392 (0.50) and TL-11 (0.45) has been found good general combiner with highest magnitude of GCA effects for seed yield per plant. In addition to above, EC-1392 and TL-11 also showed good GCA effects for plant height, secondary branches per plant, capsules per plant and biological yield per plant. Hybrids A.95.B x Shekhar (2.43), TL-11 x EC-1392 (1.71) and NDL-2004-05 x GS-234 (1.53) showed higher positive significant SCA effects for seed yield per plant. These hybrids also exhibited positive significant SCA effects for plant height, secondary brances per plant, capsules per plant, indicating potential for exploiting hybrid vigour in breeding programme.

scholarly journals Correlation coefficient and path analysis for yield and its component traits in Fenugreek (Trigonella foenum-graecum L.)

2018 ◽  
Vol 33 (00) ◽  
Author(s):  
Aman Kumar Camkerten ◽  
Vikrama Prashad Pandey ◽  
Vipin Kumar Maurya ◽  
Devesh Tiwari ◽  
Gulab Chand Yadav
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Block Design ◽  
Correlation Coefficients ◽  
Phenotypic Correlation ◽  
Genotypic Correlation ◽  
Trigonella Foenum Graecum ◽  
Component Traits ◽  
Positive Direct ◽  
Trigonella Foenum Graecum L

The experiment comprising one hundred twenty four diverse genotypes, grown in augmented block design during Rabi 2016-17. The study revealed that the in general, genotypic correlation coefficients were higher in magnitude and similar in nature than the corresponding phenotypic correlation, suggesting therefore, a strong inherent relationship in different pairs of characters in fenugreek genotypes. Seed yield per plant had exhibited highly significant and positive phenotypic correlation with pods per plant, secondary branches per plant, primary branches per plant, and length of pods. The higher magnitude of positive direct effect on seed yield per plant was exerted by pods per plant followed by secondary branches per plant.While negative direct effect on seed yield per plant by either of the dependent traits was very low.

scholarly journals Genotypic × Environment Interaction and Stability Analysis for Yield and Yield Attributes in Taramira (Eruca sativa Mill.)

2021 ◽  
pp. 1-11
Author(s):  
Mahaveer Prasad Ola ◽  
Mohan Lal Jakhar ◽  
D. K. Gothwal ◽  
Sarfraz Ahmadmad ◽  
Manohar Ram
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
Block Design ◽  
Pooled Analysis ◽  
Environment Interaction ◽  
Eruca Sativa ◽  
Stability Parameters ◽  
Yield Attributes ◽  
Randomized Block Design ◽  
Wide Range

Aims: To identify the stable genotypes across the different environments for yield and its           attributing traits. Study Design: Field experimental design was applied. Place and Duration of Study: The experiment was conducted at Research Farm, SKN College of Agriculture, S.K.N. Agriculture University, Jobner (Rajasthan), India in different environments during rabi 2018-19. Methodology: An experiment was conducted on thirty genotypes of taramira (Eruca Sativa Mill.) in three environments created by three dates of sowing during rabi 2018-2019 in randomized block design with three replications to estimate genotypic × environment interaction and stability parameters for various yield and yield attributing traits. The stability analysis was carried out according to Eberhart and Russell model. Results: The highest yielding genotypes were RTM-1351, RTM-1810, RTM-1315 and RTM-314. Genotypes RTM-314, RTM-1800, RTM-1810 and RTM-1815 were found relatively stable for seed yield per plant. Genotypes RTM-1795, RTM-1798 and RTM-1799 had below average stability for seed yield per plant and suitable for better environmental conditions. Genotypes RTM-1791, RTM-1815 and RTM-1351 were showed above average stability for seed yield per plant and suitable for poor environmental condition. Further, these genotypes can be utilized in the development of stable cultivar taramira. Conclusion: Pooled analysis of variance indicated significant differences among environments and genotypes. Genotypes RTM-314, RTM-1800, RTM-1805 and RTM-1810 were found most stable for most of the characters, which can be grown in wide range of environments (all three dates of sowing).

Effect of different levels of nitrogen and phosphorus on the forage and seed yield of ryegrass (Lolium perenne L.)

2005 ◽  
Vol 53 (3) ◽  
pp. 353-356
Author(s):  
◽  
Keyword(s):  
Seed Production ◽  
Lolium Perenne ◽  
Seed Yield ◽  
Dry Matter ◽  
Block Design ◽  
Nitrogen And Phosphorus ◽  
Randomized Block Design ◽  
Green Fodder ◽  
The Mean ◽  
Four Levels

Studies were made on the fodder and seed production of ryegrass (Lolium perenne L.) using twelve treatment combinations with four levels of nitrogen (30, 60, 90 and 120 kg/ha/cut) and three levels of phosphorus (0, 50 and 100 kg P2O5/ha), laid out in a randomized block design with four replications. The mean of two years indicated that nitrogen at 120 kg/ha/cut increased the green fodder (834 q/ha) and dry matter yield (129 q/ha) significantly over the lower doses. After leaving the same crop for seed production during mid-March, nitrogen at the rate of 60 kg/ha gave the highest seed yield (7.61 q/ha). Beyond this dose the seed yield decreased drastically due to lodging. Phosphorus at the rate of 50 kg P2O5/ha gave 5% higher dry matter (99.6 q/ha) and 7.4% higher seed yield (7.26 q/ha) over the control.

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.

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