scholarly journals AMMI Appended with BLUP to Assess the Superiority of Hullness Barley Genotypes Evaluated under Coordinated System of the Country

2021 ◽  
pp. 48-61
Author(s):  
Ajay Verma ◽  
R. P. S. Verma ◽  
J. Singh ◽  
L. Kumar ◽  
G. P. Singh
Keyword(s):  
Graphical Analysis ◽  
High Yield ◽  
Improvement Program ◽  
Environment Effects ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Yield Values ◽  
Program Environment ◽  
Cropping Seasons ◽  
Barley Genotypes

Highly significant effects of environments (E), G×E interaction and genotypes (G) had expressed by AMMI analysis for hulless barley genotypes under coordinated barley improvement program. Environment effects explained 69.9% and 59.7% whereas Interaction effects accounted for 17% and 20.9% during cropping seasons of 2018-19 and 2019-20, respectively. Stability measure WAASB based on all significant interaction principal components ranked suitability of DWRB204, K1149 genotypes. Superiority index while weighting 0.65 and 0.35 for mean yield & stability ranked DWRB204, Karan 16 as of stable performance with high yield barley genotypes. Ranks as per composite measures MASV1 and MASV found NDB943, KB1750 as desirable genotypes. Lower values ASTAB measure achieved by Karan 16, NDB943. Biplot graphical analysis as per 40.4% of variation of the measures exhibited MASV1 clubbed with ASTAB, EV, SIPC, Za, W6, WAASB and MASV measures. Measure IPCA1 clubbed with SI corresponding yield based.  W2, W3, W4 measures observed in different group.  For the second-year lower value of WAASB measure had observed for PL891, KB1843, NDB943. Ranking of genotypes as per Superiority index found Karan16, UPB1086 as of stable performance with high yield. MASV1 and MASV identified Karan16, DWRB216 genotypes of choice for these locations. Barley genotypes Karan16, DWRB216 were selected as per values of ASTAB measure accounted AMMI analysis with BLUP of genotypes yield values. About 78.1% of variation of the measures under biplot analysis observed MASV1 grouped with ASTAB, EV, SIPC, and MASV. While Za joined together with W2, W3, W4, W5, W6, WAASB to form separate group.

scholarly journals AMMI confounded with BLUP of feed barley genotypes for superiority measures under NEPZ trials

2021 ◽  
Vol 17 (2) ◽  
pp. 573-581
Author(s):  
Ajay Verma ◽  
R.P.S. Verma ◽  
J. Singh ◽  
L. Kumar ◽  
G.P. Singh
Keyword(s):  
Crop Improvement ◽  
Graphical Analysis ◽  
High Yield ◽  
Gxe Interaction ◽  
Environment Effects ◽  
North Eastern ◽  
Stable Performance ◽  
Second Year ◽  
Cropping Seasons ◽  
Barley Genotypes

AMMI analysis of feed barley genotypes evaluated for North Eastern Plains Zone of the country observed highly significant effects of environments (E), GxE interaction and genotypes (G). GxE Interaction effects accounted for 45.9% and 29.2% and environment effects explained 27.5% and 37.1%, during cropping seasons of 2018-19 and 2019-20, respectively. ASTAB measure achieved the desirable lower values for HUB113, DWRB137. Ranks of MASV1 and MASV measures considered HUB113, K508 genotypes would be of choice this zone. Superiority index assigned 0.65 and 0.35 weights for average yield and stability found HUB113, DWRB137 as of stable performance with high yield. Biplot graphical analysis as per 84.7 % of variation of the measures exhibited largest cluster comprised of MASV1 with ASTAB, EV, SIPC, Za, W2, WAASB and MASV measures. For the second-year Desirable lower values of ASTAB measure achieved by HUB69, Lakhan, RD3020. Ranks of composite measure MASV1 and MASV found Lakhan, HUB69, KB1830 genotypes would be of choice for these locations. Superiority index with assigned weights for yield and stability found Lakhan, DWRB213, KB1830 as of stable performance with high yield. About 79.3 % of variation of the measures under biplot analysis observed AMMI based measures were grouped together and mean yield joined hands with superiority measures of genotypes. The reliability of multi-locations trials would be increased with superiority Indexes as major features of AMMI and BLUP had been confounded. Option of assigning variable weights to the yield and stable performance help the researches to set their crop improvement targets.

scholarly journals Stability Index Based on Weighted Average of Absolute Scores of AMMI and Yield of Wheat Genotypes Evaluated Under Restricted Irrigated Conditions for Peninsular Zone

2020 ◽  
Vol 13 (4) ◽  
Author(s):  
Ajay Verma
Keyword(s):  
Weighted Average ◽  
Stability Index ◽  
High Yield ◽  
Direct Relation ◽  
Average Yield ◽  
Wheat Genotypes ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Second Year

Highly significant effects of environment (E), G×E interaction and genotypes (G) were observed by AMMI analysis during 2018-19 and 2019-20 study years for wheat genotypes evaluated at major locations of Peninsular zone of the country. WAASB measure observed suitability of HI 1605, HI 8805 & HI 8802 genotypes. Superiority index while weighting 0.65 and 0.35 for yield & stability found MACS 6695, HI 1605 & NIAW 3170 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of NIAW 3170, MACS 6695 & MACS 6696 wheat genotypes. More over the average yield of genotypes ranked NIAW 3170, MACS 6695 & MACS 6696 as of order of choice. SI expressed only negative values of correlations most of other stability measures except of MHPRVG, PRVG, yield. WAASB measure exhibited direct relationships with other measures analogous of negative values with MASV, SI, MHPRVG, PRVG, yield. Analytic measures MHPRVG & PRVG had only positive values with SI, and yield remaining stability measures maintained negative values. MP1358, NIDW1149 & NIAW3170 would be suitable genotypes as per WAASB measure during second year of study. Superiority index found MP1358, NIAW3170 & MACS4087 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of MP1358, HI1605 & MACS4087 wheat genotypes. More over the average yield of genotypes ranked MP1358, MACS4087 & HI1605 as of order of choice. SI expressed mostly negative values other measures except of weak direct relation with MASV1, MASV along with strong with yield, MHPRVG & PRVG measures. WAASB measure exhibited direct relationships with other measures and indirect with only MASV1& SI.

scholarly journals Analytic Measures of Adaptability for Wheat Genotypes Evaluated under Restricted Irrigation Timely Sown Conditions for Central Zone of India

2020 ◽  
Author(s):  
Ajay Verma ◽  
G.P. Singh
Keyword(s):  
Mixed Model ◽  
Central Zone ◽  
Graphical Analysis ◽  
Harmonic Mean ◽  
Relative Performance ◽  
High Yield ◽  
Improvement Program ◽  
Wheat Genotypes ◽  
Mixed Model Approach ◽  
The People

Background: Wheat improvement program of the country identify genotypes with specific and general adaptations to ensure sustain yield for food security of the people. Yield behavior of promising wheat genotypes were studied at twelve locations of Central Zone of the country under restricted irrigation timely sown conditions. Methods: Recent analytic measures of adaptability viz., Relative Performance of Genetic Values (PRVG), Harmonic Mean of Genetic Values (MHVG) and Harmonic Mean of the Relative Performance of Genotypes (MHPRVG) were compared by considering Best Linear Unbiased Predictors (BLUP) of genotypes based on mixed model approach. Result: Genotypes MP3288, BRW3775 and DBW110 had been marked by analytic measures PRVG, MHVG, MHPRVG, HM for high yield and better adaptability across locations as per first year (2016-17) findings. HI8791 and DBW110 genotypes occupied places near to the origin in Biplot graphical analysis. Specific adapta­tions of genotype HI8791 for Sagar and Dhanduka locations were observed. DBW110 would be suitable for Jabalpur, Gwalior and Udaipur locations, whereas BRW3775 identified for Kota, Sanosora and Vijapur. Genotypes GW495, GW322, HI8713 and GW1339 had achieved high yield and better adaptability during the year (2017-18). The genotype UAS466 had expressed specific adapta­tions to Jabalpur and Gwalior, whereas HI8627 for Bhopal and Udaipur, NIAW3170 were identified for Indore and Vijapur, DDW47 for Sansora, Dhanduka and Pratapgarh. The recent analytic measures based on harmonic means of the relative performance of predicted genetic values have been observed as an appropriate to identify the better adaptive genotypes with higher yield.

Simultaneous Use of AMMI Model and Yield for Stability Analysis of Wheat Genotypes Evaluated Under Central Zone of the India

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Ajay Verma ◽  
Gyanendra Pratap Singh
Keyword(s):  
Central Zone ◽  
High Yield ◽  
First Year ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Ammi Model ◽  
Simultaneous Use ◽  
High Degree

AMMI analysis had observed highly significant effects of environment (E), GxE interaction and genotypes (G) during 2018-19 and 2019-20 years of study. Suitability of PBW822, HI8811 & HI8713 genotypes as compared to HD3345 by WAASB measure for first year. Superiority index found HD3345, PBW822 & NIDW1158 as of stable performance with high yield. PRVG measures settled for HI8811, GW322 & HI 8737 and MHPRVG considered HI8811, HI8713 & GW322 wheat genotypes. All negative values of correlations exhibited by SI measure whereas WAASB measure exhibited direct relationships as well as negative values with SI, PRVG, MHPRVG and yield. WAASB measure observed suitability of GW513, HI1636 & MACS6747 wheat genotypes for the second year. Superiority index found GW513, HI1636 & HI1544 as of stable performance along with high yield. PRVG as well as MHPRVG measures observed suitability of GW513, HI1636, & MP1361 while HD3377 as unstable wheat genotype. SI measure had expressed only indirect relations of high degree with other measures except of positive values with yield, PRVG and MHPRVG. Measure WAASB had exhibited direct relations with most of measures along with negative correlation for SI, yield, PRVG and MHPRVG values. Stability measures by simultaneous use of AMMI analysis and average yield of genotypes would be more meaningful as compared to measures based either on the AMMI or yield only.

scholarly journals Malt Barley Genotypes Assessed by Analytic Adaptability Measures for NWPZ of the Country

2021 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Graphical Analysis ◽  
Harmonic Mean ◽  
Relative Performance ◽  
First Year ◽  
Gxe Interaction ◽  
Environment Effects ◽  
Cropping Season ◽  
Malt Barley ◽  
Barley Genotypes ◽  
Analysis Environment

Highly significant effects of the environment (E), genotypes (G), and GxE interaction had been observed by AMMI analysis. Environment explained 51.4% whereas GxE interaction accounted for 22.1% of treatment variations in yield during first year. Harmonic Mean of Genotypic Values (HMGV) expressed higher values for DWRB160, DWRB184, and BH902. Ranking of genotype as per IPCA-1 were BH902, DWRB182, DWRB101. While IPCA-2, selected DWRB101, DWRB123, DWRB184 genotypes. Values of ASV1 selected DWRB101, DWRB182, BH902 and ASV identified DWRB101, DWRB123, DWRB182 barley genotypes. Adaptability measures Harmonic Mean of Relative Performance of Genotypic Values (HMPRVG) and Relative Performance of Genotypic Values (RPGV) identified DWRB160, DWRB184, and BH902 as the genotypes of performance among the locations. Biplot graphical analysis exhibited adaptability measures PRVG, HMPRVG along with IPC3, mean, GM, HM grouped in a cluster. During 2019-20 cropping season Environment effects accounted 79.7% whereas GxE interaction contributed for 7.7% % of treatment variations in yield. HMGV expressed higher values for DWRB196, DWRB123, and RD2849. IPCA-1 scores, desired ranking of genotypes was DWRB182, PL908, RD2849. While IPCA-2 pointed towards PL908, RD2849, DWRB196, as genotypes of choice. Analytic measures ASV and ASV1 selected PL908, RD2849, DWRB123 barley genotypes. HMRPGV along with PRVG settled for DWRB196, DWRB123, and RD2849. Adaptability measures PRVG, HMPRVG clustered with mean, GM, HM and observed in different quadrant of biplot analysis.

scholarly journals Superiority index based on AMMI and yield of wheat genotypes evaluated in North Western Plains Zone under restricted irrigated timely sown conditions

2021 ◽  
Vol 17 (1) ◽  
pp. 73-82
Author(s):  
Ajay Verma ◽  
G. P. Singh
Keyword(s):  
High Yield ◽  
Average Yield ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Second Year ◽  
Positive Correlations ◽  
High Degree ◽  
North Western

Highly significant effects of environment (E), GxE interaction and genotypes (G) were observed by AMMI analysis during 2018-19 and 2019-20 study years for wheat genotypes evaluated at major locations of mega zone of the country. WAASB measure observed suitability of HD3237, WH1080 and PBW644 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found HI1620, HD3237 and HI1628 as of stable performance with high yield. PRVG measure observed suitability of HI1620, HI1628 and BRW3806 while MHPRVG measure identified HI1620, HI1628 and HD3237 wheat genotypes. More over the average yield of genotypes ranked HI1620, HI1628 and NIAW3170 as of order of choice. SI had expressed all direct relations of moderate to high degree of correlations except with WAASB and weak relations with yield, PRVG and MHPRVG values. Only negative correlations had expressed by WAASB measure while positively correlated with yield, PRVG and MHPRVG. Second year of study observed suitability of NIAW3170, DBW296 and PBW644 genotypes as far as WAASB values were concerned. Superiority index found DBW296, HUW838 and NIAW3170 as of stable performance with high yield. More over the average yield of genotypes ranked DBW296, HUW838 and JAUW672 as of order of choice. Mean yield showed a highly significant positive correlation with SI, MHPRVG, PRVG and negative values of correlation with AMMI based measures. SI had expressed all inverse relations with measures WAASB, EV, ASV, MASV as only negative values were seen. Positive correlations were maintained by WAASB measure with Za, SIPC, ASTAB, ASV1.

scholarly journals Combining AMMI and Mean Yield of Wheat Genotypes Evaluated under Rainfed Conditions of Northern Hills Zone for Stability Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 590-600
Author(s):  
Ajay Verma ◽  
◽  
G. P. Singh ◽  
Keyword(s):  
Stability Analysis ◽  
High Yield ◽  
Average Yield ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Rainfed Conditions ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Second Year

Highly significant effects of environment (E), GxE interaction and genotypes (G) observed by AMMI analysis during 2018-19 and 2019-20 study years. WAASB measure ranked suitability of UP 3039, VL 2035 and VL 2036 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL 2036, HS 668 and UP 3039 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of HS 668, HS 562 and HS 669 wheat genotypes. More over the average yield of genotypes ranked HS 668, VL 2036 and HS 669 as of order of choice. Mostly indirect relations of SI measure were observed with stability measures along with positive values for MHPRVG, PRVG and yield. WAASB measure exhibited significant indirect relationships with other measures except of moderate positive with SI, yield, MHPRVG and PRVG measures. For the second year of study WAASB measure ranked suitability of HS676, UP3064 and HS677 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL2041, HS675 and HS562 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of VL2041, HS675 and HPW470 wheat genotypes. More over the average yield of genotypes ranked VL2041, HS675 and HS507 as of order of choice. Mostly negative values were exhibited by SI measure with stability measures apart of direct with MHPRVG, PRVG and yield. WAASB measure exhibited direct relationships with other stability measures except of indirect relations with SI, yield, MHPRVG and PRVG.

scholarly journals VARIABILTY AND STABILTY OF TUBER YIELD OF JERUSALEM ARTICHOKE (Helianthus tuberosus L.) / VARIABILIDAD Y ESTABILIDAD DEL RENDIMIENTO DE TUBERCULOS DEL TOPINAMBO / VARIABILITÉ ET STABILITÉ DU RENDEMENT DU TUBERCULE DE TOPINAMBUR

Helia ◽  
2001 ◽  
Vol 24 (35) ◽  
pp. 25-32 ◽  
Author(s):  
Janoš Berenji ◽  
Vladimir Sikora
Keyword(s):  
Tuber Yield ◽  
Jerusalem Artichoke ◽  
Tuber Size ◽  
Yield Stability ◽  
Tuber Number ◽  
High Yield ◽  
Helianthus Tuberosus ◽  
Variety Trial ◽  
Stable Performance ◽  
The Stability

SUMMARYThe objective of this paper was to estimate the genetic and ecological variation as well as the stability of tuber yield per plant, tuber number per plant and tuber size of Jerusalem artichoke based on the results of a variety trial carried out with 20 different Jerusalem artichoke varieties during the period of 1994-2000. Significant genetic as well as ecologycal variation was observed for all of the traits studied. The most promissing varieties showing high tuber yield combined with high yield stability were “BT-4”, “Violet Rennes” and “UKR 4/ 82”. It is encouraging that the highest yielding varieties exibited a rather stable performance over environments.

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

scholarly journals ​Best Linear Unbiased Prediction with Additive Main and Multiplicative Interaction for Stability Analysis of Barley Genotypes Evaluated in Coordinated Program

2021 ◽  
Author(s):  
Ajay Verma ◽  
R.P.S. Verma ◽  
J. Singh ◽  
L. Kumar ◽  
G.P. Singh
Keyword(s):  
Weighted Average ◽  
Best Linear Unbiased Prediction ◽  
High Yield ◽  
Linear Unbiased Prediction ◽  
Yield Performance ◽  
Multiplicative Interaction ◽  
Absolute Value ◽  
Best Linear Unbiased ◽  
Barley Genotypes ◽  
Unbiased Prediction

Background: Additive main and multiplicative interaction (AMMI) analysis had been exploited for multi environment trials for most of the crops. Usage of the best linear unbiased prediction (BLUP), along with AMMI tools, of the genotypes would improve the estimation of interaction effects. Methods: AMMI based measures of adaptability have been enriched with the incorporation of BLUP of genotypes by new Superiority index that allowed variable weights for stability and yield of genotypes. Result: Stability measure weighted average of absolute scores (WAASB) based on all significant interaction principal components ranked suitability of KB1754, RD3000, NDB1445 genotypes. Superiority index while weighting 0.65 and 0.35 for mean yield and stability arranged DWRB201, NDB1445, RD2552 as of stable high yield performance of barley genotypes. Corrected measure Modified AMMI Stability Value (MASV1) found RD2552, DWRB201, KB1762 and Modified AMMI Stability Value (MASV) ranked DWRB201, RD2552, KB1762. ASTAB measure achieved the desirable lower values for DWRB201 DWRB207, HUB268 genotypes. Biplot graphical analysis based on 60.7% of variation of the stability measures observed MASV1, ASTAB (AMMI based stability parameter), EV(Averages of the squared eigenvector values), SIPC (Sums of the absolute value of the IPC scores), Za (Absolute value of the relative contribution of IPCs to the interaction), W3, WAASB and MASV had been clubbed together. For the second year lower value of WAASB measure had observed for RD3016, KB1815 HUB273. Ranking of genotypes as per Superiority index found RD3017, RD2907, HUB274 as of stable high yield performance. Genotypes RD3017, RD2907 and NDB1173 pointed out by MASV1 while RD3017, RD2907, NDB1173 identified by MASV as the genotypes of choice. RD3017 NDB1173, RD2907 genotypes were selected as per values of ASTAB measure. Total of 71.8% of variation of the considered measures in biplot analysis expressed larger cluster comprised of AMMI based measures and a separate cluster of Superiority indexes as per mean, Geometric Adaptability Index (GAI) and HMGV also observed.

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