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).

scholarly journals Amelioration of zinc deficiency in blackgram (Vigna mungo L.) through soil applied zinc in Typic Haplustepts soil of Rajasthan

2021 ◽  
Vol 42 (6) ◽  
pp. 1554-1559
Author(s):  
G. Jat ◽  
◽  
S.K. Sharma ◽  
R.H. Meena ◽  
D. Jain ◽  
...  
Keyword(s):  
Zinc Deficiency ◽  
Seed Yield ◽  
Block Design ◽  
Nutrient Content ◽  
Pooled Analysis ◽  
Vigna Mungo ◽  
Yield Attributes ◽  
Randomized Block Design ◽  
Zn Content ◽  
Biological Yield

Aim: To study the amelioration of zinc deficiency in blackgram (Vigna mungo L.) through soil applied zinc in Typic Haplustepts soil of Rajasthan. Methodology: A two year field experiment was undertaken during Kharif 2016 and 2017 at Instructional Farm (Agronomy), Rajasthan College of Agriculture, Udaipur, Rajasthan. The treatments comprised application of Zn to soil @ 3 kg Zn ha-1, 4 kg Zn ha-1, 5 kg Zn ha-1 and 6 kg Zn ha-1. The experiment was laid out in a randomized block design with four replications. Results: Application of zinc significantly (P=0.05) increased the number of nodules per plant, number of pods per plant, number of seeds per pod, seed yield, haulm yield, biological yield, nutrient (N, P, K & Zn) content and uptake, protein content, net return and B:C ratio in blackgram. Soil application of Zn@5 kg ha-1 significantly increased seed yield, haulm yield and biological yield by 72.53, 50.08 and 57.68 per cent over the control in pooled analysis, respectively. However, the effect of application of Zn@5 kg ha-1 on yield attributes, yield, nutrient content, uptake, quality and economics of blackgram was found statistically at par with the application of 6 kg Zn ha-1. Interpretation: The application of Zn@ 5 kg ha-1 along with the recommended dose of fertilizer (NPK) resulted in significantly (P=0.05) higher productivity, nutrient uptake, quality and profitability of blackgram under Typic Haplustepts soil of Rajasthan.

scholarly journals Quantification of Avoidable Yield Losses in Oilseed Brassica Caused by Insect Pests

2011 ◽  
Vol 51 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Jagdev Kular ◽  
Sarwan Kumar
Keyword(s):  
Seed Yield ◽  
Yield Loss ◽  
Insect Pests ◽  
Block Design ◽  
Maximum Yield ◽  
The Other ◽  
Yield Losses ◽  
Eruca Sativa ◽  
Mustard Aphid ◽  
Randomized Block Design

Quantification of Avoidable Yield Losses in OilseedBrassicaCaused by Insect PestsA six year field study was conducted from 2001-2002 to 2006-2007 at Punjab Agricultural University, Ludhiana, India to study the losses in seed yield of differentBrassicaspecies (B. juncea, B. napus, B. carinata, B. rapaandEruca sativa) by the infestation of insect pests. The experiment was conducted in two different sets viz. protected/sprayed and unprotected, in a randomized block design, with three replications. Data on the infestation of insect pests, and seed yield were recorded at weekly intervals and at harvest, respectively. The loss in seed yield, due to mustard aphid and cabbage caterpillar, varied from 6.5 to 26.4 per cent.E. sativasuffered the least loss in seed yield and harboured the minimum population of mustard aphid (2.1 aphids/plant) and cabbage caterpillar (2.4 larvae/plant). On the other hand,B. carinatawas highly susceptible to the cabbage caterpillar (26.2 larvae/plant) and suffered the maximum yield loss (26.4%).

scholarly journals Genotype × Environment Interaction and Stability Analysis in Basmati Rice (Oryza sativa L.) Genotypes

2021 ◽  
Author(s):  
Hari Kesh ◽  
Khushi Ram Battan ◽  
Rakesh Kumar
Keyword(s):  
Stability Analysis ◽  
Oryza Sativa L ◽  
Block Design ◽  
Quality Parameters ◽  
Basmati Rice ◽  
Eating Quality ◽  
Environment Interaction ◽  
Indian Agriculture ◽  
Randomized Block Design ◽  
Cooking And Eating Quality

Background: Basmati rice is an important cereal crop occupying a unique position in Indian agriculture. More than 90% of global rice is produced and consumed in Asia and plays a crucial role in the entry of mineral nutrients into the food chain. Identification of stable genotypes is of great significance because the environmental conditions vary from season to season and year to year. Methods: Thirty six Basmati rice genotypes were evaluated in four production environments during kharif 2016 and kharif 2017 at two locations Kaul and Uchani to study the G × E interaction for milling, appearance, cooking and eating quality parameters. The genotypes were grown in randomized block design with three replications. Result: Based on the stability analysis of Eberhart and Russell model, genotypes viz., Haryana Mahak 1, Pusa 1826-12-271-4 and HKR 06-434 were found stable across the environments for milling%, grain length before cooking and length breadth ratio before cooking, respectively.

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 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 STUDIES ON HETEROSIS AND COMBINING ABILITY THROUGH DIALLEL METHOD IN MAIZE (ZEA MAYS L.)

2021 ◽  
Vol 21 (No 1) ◽  
Author(s):  
Mahipat Singh Yadav ◽  
B. Gangwar
Keyword(s):  
Zea Mays ◽  
Seed Yield ◽  
Combining Ability ◽  
Yield Components ◽  
Zea Mays L ◽  
Growth Parameters ◽  
Block Design ◽  
Rabi Season ◽  
Yield Attributes ◽  
Randomized Block Design

The present investigation was conducted using 28 different genotypes (seven parents and their 21 F1s) of maize under organic conditions at the Rain-fed Organic Research Farm, Narayanbag, Institute of Agricultural Sciences, Bundelkhand University, Jhansi (U.P.) India, during kharif 2018 and rabi season 2018-19. In order to determine the general and specific combining ability of parents and the crosses, the growth parameters and yield components were evaluated in a 7×7 diallel fashion in maize in a Randomized Block Design (RBD) with three replications. In this study, the GCA effects suggested that parent P1, P2 and P4 were the most desirable as they possessed high GCA effect for most of the characters. Among F1 crosses, P4 x P3, P3 x P1, P5 x P3 and P7 x P5 having significant positive SCA were found to be desirable for yield and yield attributing characters. The maximum heterotic effects in desirable direction for yield attributes were showed by the cross combinations viz; P1 x P6, P2 x P7, P2 x P5, P1 x P2, P3 x P4, P5 x P7 and P3 x P5. The maximum heterosis was recorded in for Seed yield per plant P5 x P7 (39.32%) which ranged from -14.69 to 49.55.

scholarly journals Evaluation of Genetic Diversity in Cultivated and Exotic Germplasm Sources of Faba Bean Using Important Morphological Traits

2020 ◽  
Author(s):  
Praveen Kumar ◽  
Prashant Kaushik
Keyword(s):  
Genetic Diversity ◽  
Food Security ◽  
Seed Yield ◽  
Faba Bean ◽  
Morphological Traits ◽  
Block Design ◽  
Exotic Germplasm ◽  
Randomized Block Design ◽  
Wide Range ◽  
Positive Effect

AbstractBackground and ObjectiveFaba bean is an important crop for achieving nutritional food security, but there is very limited diversity in the cultivated varieties of faba bean. Moreover, genetic diversity is vital for its use in faba bean genetic imporvement.Material and MethodsHere we determined the diversity in the sixty-four genotypes of faba bean of different agro-ecological origins. Plants were grown in randomized block design in three replications. Further, the genotypes were characterized based on the ten morphological traits.ResultsHighly significant differences were determined for all of the studied traits. Whereas, the number of cluster per plant was positively correlated with the pods per plants. Moreover, the trait number of cluster per plant determined the most substantial positive effect on seed yield.ConclusionsOverall, our results indicate a wide range of variability for further selection and improvement of faba bean ideotype.

scholarly journals Phenotypic Stability Analysis for Seed Yield and its Associated Traits in Advanced Lines of Indian Mustard (Brassica juncea L. Czern and Coss)

2021 ◽  
Vol 10 (11) ◽  
pp. 133-141
Author(s):  
Danisa Dube Th. Renuka Devi ◽  
Ph. Ranjit Sharma N. B. Singh
Keyword(s):  
Stability Analysis ◽  
Brassica Juncea ◽  
Seed Yield ◽  
Indian Mustard ◽  
Climatic Conditions ◽  
Environment Interaction ◽  
Phenotypic Stability ◽  
Stability Parameters ◽  
Gxe Interaction ◽  
Main Component

Phenotypic Stability Analysis for Seed Yield and its Associated Traits In advanced lines of Indian Mustard (Brassica juncea L. Czern and Coss)” was carried out to study the effects of different environments on seed yield and its associated traits, to estimate the magnitude of Genotype x Environment interaction and to find out the most stable and high yielding genotype among the selected lines of Indian mustard under different environments of different topography, soil texture and prevailing climatic conditions of Manipur. Fifteen genotypes were evaluated in 3 different locations (Andro, Iroisemba and Senapati) in RBD with 3 replications over two seasons viz; Rabi 2018-19 and 2019-20. The environment wise ANOVA revealed highly significant differences among all the genotypes studied for all the 11 characters of seed yield and its associated traits. The pooled ANOVA also indicated significant differences among the environments, genotypes as well as genotype by environment (GXE) interaction for all the traits. Genotype X Location interaction was observed as the main component for GXE interaction. Genotypes performed better in 2019-20 rabi season as compared to rabi 2018-19. Environment (E-5) i.e. Iroisemba, valley area was the best for expression of most of the characters studied. Stability Analysis using Eberhart and Russell indicated the significance of GXE (linear) for no. of siliqua/plant, no. of seeds/siliqua, siliqua length, no. of primary branches, no. of secondary branches, days to first flowering, days to 50% flowering, days to 80% maturity and 1000 seed weight except for plant height and seed yield per plot which shows the substantial amount of predictable G X E interaction for the expression of these characters in the selected genotypes. All the 15 genotypes were tested for 3 stability parameters, viz mean, bi and S2 di. The genotypes CAURMM-3, CAURMM-4, CAURM- 5, CAURM-4, PM- 25, CAURMM-1 and JM-1 were identified to be the high yielding and stable, hence they can be recommended for general cultivation under varied environments of Manipur. CAURM-1 CAURM-2, CAURM-3 had more stable characters although their yield was below the population mean, Therefore, proposed as promising genotypes for general cultivation under intensive input supply as they performed best in favourable environments, while NRCHB 101 found to be suitable for cultivation under poor environments.

scholarly journals Effect of seed rate on linseed genotypes under utera condition

2021 ◽  
Vol 17 (2) ◽  
pp. 234-238
Author(s):  
J.R. Katore ◽  
Beena Nair ◽  
Shilpa Rananaware ◽  
Rupali Damdar ◽  
J.M. Parbat ◽  
...  
Keyword(s):  
Field Experiment ◽  
Seed Yield ◽  
Block Design ◽  
Growth Yield ◽  
Rabi Season ◽  
College Of Agriculture ◽  
Research Project ◽  
Yield Attributes ◽  
Seed Rate ◽  
Randomized Block Design

A field experiment was conducted under All India coordinated Research Project on linseed at Agriculture Farm, College of Agriculture, Nagpur in Rabi Season 2019-20. The experiment was laid out in Factorial Randomized Block Design with three replication in which effect of three seed rate i.e. 30, 40 and 50 Kg/ha was tested on three genotypes i.e. BRLS-106, Shekhar and T- 397. The results revealed that among the genotype BRLS -106 was found superior over Shekhar and T-397 genotypes under utera condition with respect to growth, yield and yield attributes. However, the seed rate 50 kg-1 found superior in yield, GMR and NMR. The interaction of BRLS-106 with seed rate 40kg/ha has recorded the highest seed yield and net monetary returns also.

scholarly journals Stability Analysis for Seed Yield over Environments in Coriander

2016 ◽  
Vol 4 (11) ◽  
pp. 1014
Author(s):  
Sangeeta Yadav ◽  
Arun Kumar Barholia
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
High Fertility ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Genotype Environment Interaction ◽  
Ammi Analysis ◽  
Back Ground ◽  
Ammi Model ◽  
Main Effects

Thirty five genotypes of coriander (Coriandrum sativum L.) were tested in four artificially created environments to judge their stability in performance of seed yield. The differences among genotypes and environments were significant for seed yield. Stability parameters varied considerably among the tested genotypes in all the methods used. The variation in result in different methods was due to non-fulfillment of assumption of different models. However, AMMI analysis provides the information on main effects as well as interaction effects and depiction of PCA score gives better understanding of the pattern of genotype – environment interaction. The sum of squares due to PCAs was also used for the computation of AMMI stability values for better understanding of the adaptability behavior of genotypes hence, additive main effects and multiplicative interaction (AMMI) model was most appropriate for the analysis of G x E interactions for seed yield in coriander. Genotypes RVC 15, RVC 19, RVC 22, RVC 25 and Panipat local showed wider adaptability while, Simpo S 33 exhibited specific adaptability to favourable conditions of high fertility. These genotypes could be utilized in breeding programmers to transfer the adaptability genes into high yielding genetic back ground of coriander.

Sign in / Sign up

Export Citation Format

Share Document