Screening diverse wheat genotypes for manganese efficiency based on high yield and uptake efficiency

2013 ◽  
Vol 154 ◽  
pp. 127-132 ◽  
Author(s):  
Shalini Jhanji ◽  
U.S. Sadana ◽  
N.K. Sekhon ◽  
M.P.S. Khurana ◽  
A. Sharma ◽  
...  
Keyword(s):  
High Yield ◽  
Wheat Genotypes ◽  
Uptake Efficiency ◽  
Manganese Efficiency

scholarly journals Stability of Wheat Genotypes by AMMI and Yield Evaluated under Peninsular Zone of India

2021 ◽  
Author(s):  
Ajay Verma ◽  
G.P. Singh
Keyword(s):  
Weighted Average ◽  
Principal Component ◽  
Efficient Estimation ◽  
High Yield ◽  
First Year ◽  
Wheat Genotypes ◽  
Stability Measure ◽  
Linear Behaviour ◽  
The Stability ◽  
Selection Of

Background: Efficient estimation of main and interaction effects under multi environment trials had been carried out by AMMI. Studies with low proportion of the variance explained by first interaction principal component IPCA1 under AMMI analysis had been reported biased interpretation for the stability of the genotypes.Methods: Weighted Average of Absolute scores (WAASB), quantitative stability measure had been recommended for selection of productive genotypes with broad adaptation. The selection of promising genotypes had been assisted by use of superiority index (WAASBY) that considered simultaneous use of yield and stability by allowing variable weighting mechanism for yield and stability.Result: Wheat GW509 and HI1633 genotypes had been identified by stability measure WAASB for the first year. While Superiority index considered stability and high yield settled for HI1633 and Raj4083 genotypes. Analytic measures of adaptability PRVG and MHPRVG observed suitability of HI1633 and Raj 4083. SI expressed positive linear behaviour with yield, MHPRVG and PRVG measures. While stability measure WAASB maintained moderate negative correlation with yield, SI, MHPRVG and PRVG. Wheat genotypes HI1633, HI1641 and HI1646 identified by stability measure for the next year of study. Superiority index selected HI1641, HI1633 and MACS6752 genotypes. SI expressed direct linear relation with yield, MHPRVG and PRVG. Stability measure exhibited indirect relationships with SI, MHPRVG, PRVG and yield Wheat genotypes HI1633, Raj 4083 for first year and HI1641, MACS6752 for the second year of study.

Categorization of Diverse Wheat Genotypes for Zinc Efficiency Based on Higher Yield and Uptake Efficiency

2019 ◽  
Vol 20 (2) ◽  
pp. 648-656 ◽  
Author(s):  
Pooja Singh ◽  
Arvind K. Shukla ◽  
Sanjib K. Behera ◽  
Pankaj K. Tiwari ◽  
Soumitra Das ◽  
...  
Keyword(s):  
Zinc Efficiency ◽  
Wheat Genotypes ◽  
Uptake Efficiency

Identification of water use efficient wheat genotypes with high yield for regions of depleting water resources in India

2019 ◽  
Vol 223 ◽  
pp. 105709 ◽  
Author(s):  
Raj Pal Meena ◽  
Venkatesh Karnam ◽  
Sendhil R ◽  
Rinki ◽  
R.K. Sharma ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use ◽  
High Yield ◽  
Wheat Genotypes

scholarly journals Simultaneous application of AMMI measures and yield for stability analysis of wheat genotypes evaluated under irrigated late sown conditions of Central Zone of India

2020 ◽  
Vol 12 (4) ◽  
pp. 541-549
Author(s):  
Ajay Verma ◽  
G. P. Singh
Keyword(s):  
Relative Proportion ◽  
Central Zone ◽  
High Yield ◽  
First Year ◽  
Simultaneous Application ◽  
Single Measure ◽  
Wheat Genotypes ◽  
Stable Performance ◽  
Simultaneous Use ◽  
The Stability

Reports on biased interpretation for the stability of the genotypes under AMMI analysis, considering only the first two interaction principal components, has been observed in recent past. Simultaneous use of yield and stability of genotypes in a single measure had been advocated for identification of highly productive and broadly adapted genotypes.  The performance of superiority index, allowed variable weighting mechanism for yield and stability, has been compared with AMMI based measures. For the first year (2018-19) Superiority index, weighting 0.65 and 0.35 for yield and stability, found UAS3002, MP3336 and HI1633 as of stable performance with high yield. Recent analytic measures the relative proportion of genotypic value (PRVG) and Harmonic mean of the relative proportion of genotypic value (MHPRVG) selected CG1029, HI1634 and HD2932 wheat genotypes.  Indirect relations were expressed by Superiority Index (SI) with other stability measures.  Superiority index saw stable performance along with high yield of HD2864  and HI1634 for the second year 2019-20. PRVG as well as MHPRVG measures observed suitability of  CG1029 and  HD2864 while MP3336  as unstable wheat genotypes. Values of SI measure had expressed only indirect relations of high degree with stability measures except with yield, PRVG and MHPRVG values.  Stability measures by the simultaneous use of AMMI and yield would be more meaning full and useful as compared to measures consider either the AMMI or yield of genotypes only.

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 Deciphering the change in root system architectural traits under limiting and non-limiting phosphorus in Indian bread wheat germplasm

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0255840
Author(s):  
Palaparthi Dharmateja ◽  
Manjeet Kumar ◽  
Rakesh Pandey ◽  
Pranab Kumar Mandal ◽  
Prashanth Babu ◽  
...  
Keyword(s):  
Root System ◽  
Bread Wheat ◽  
Root Length ◽  
Phosphorus Uptake ◽  
Root Traits ◽  
System Architectures ◽  
Wheat Genotypes ◽  
Uptake Efficiency ◽  
Wide Range ◽  
Use Efficiency

The root system architectures (RSAs) largely decide the phosphorus use efficiency (PUE) of plants by influencing the phosphorus uptake. Very limited information is available on wheat’s RSAs and their deciding factors affecting phosphorus uptake efficiency (PupE) due to difficulties in adopting scoring values used for evaluating root traits. Based on our earlier research experience on nitrogen uptake efficiency screening under, hydroponics and soil-filled pot conditions, a comprehensive study on 182 Indian bread wheat genotypes was carried out under hydroponics with limited P (LP) and non-limiting P (NLP) conditions. The findings revealed a significant genetic variation, root traits correlation, and moderate to high heritability for RSAs traits namely primary root length (PRL), total root length (TRL), total root surface area (TSA), root average diameter (RAD), total root volume (TRV), total root tips (TRT) and total root forks (TRF). In LP, the expressions of TRL, TRV, TSA, TRT and TRF were enhanced while PRL and RAD were diminished. An almost similar pattern of correlations among the RSAs was also observed in both conditions except for RAD. RAD exhibited significant negative correlations with PRL, TRL, TSA, TRT and TRF under LP (r = -0.45, r = -0.35, r = -0.16, r = -0.30, and r = -0.28 respectively). The subclass of TRL, TSA, TRV and TRT representing the 0–0.5 mm diameter had a higher root distribution percentage in LP than NLP. Comparatively wide range of H’ value i.e. 0.43 to 0.97 in LP than NLP indicates that expression pattern of these traits are highly influenced by the level of P. In which, RAD (0.43) expression was reduced in LP, and expressions of TRF (0.91) and TSA (0.97) were significantly enhanced. The principal component analysis for grouping of traits and genotypes over LP and NLP revealed a high PC1 score indicating the presence of non-crossover interactions. Based on the comprehensive P response index value (CPRI value), the top five highly P efficient wheat genotypes namely BW 181, BW 103, BW 104, BW 143 and BW 66, were identified. Considering the future need for developing resource-efficient wheat varieties, these genotypes would serve as valuable genetic sources for improving P efficiency in wheat cultivars. This set of genotypes would also help in understanding the genetic architecture of a complex trait like P use efficiency.

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