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

Author(s):  
Ajay Verma ◽  
G.P. Singh

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.

2020 ◽  
Vol 12 (4) ◽  
pp. 541-549
Author(s):  
Ajay Verma ◽  
G. P. Singh

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.


2020 ◽  
Vol 8 (6) ◽  
pp. 828-838
Author(s):  
Ajay Verma ◽  
◽  
GP Singh ◽  

Highly significant effects of the environment (E), GxE interaction and genotypes (G) observed by AMMI analysis during 2018-19 and 2019-20 study years. First year of the study observed suitability of WH1124&HD3059 wheat genotypes by WAASB measure. Superiority index while weighting 0.65 and 0.35 for yield & stability found WH1124 &PBW771 as of stable performance with high yield. Moreover the average yield of genotypes ranked PBW771 & WH 1124 as of the order of choice. PRVG and MHPRVG measures observed the suitability of PBW 771 & PBW752 wheat genotypes. The first two PCAs explained 82.3% of the variation of the original variables. SI clubbed with EV & SPIC. Values of SI for wheat genotypes expressed high direct relation with yield, MHPRVG&PRVG measures only, and negative correlation with remaining measures. WAASB measure exhibited direct relationships with most of the AMMI based stability measures and negative values of correlation with SI, PRVG, MHPRVG and yield. Second year of study wheat genotypes DBW291, WH1264 & HD3334 were selected by WAASB measure. Superiority index found PBW812, HD3334& WH1264 as of stable performance along with high yield. MHPRVG measures observed suitability of PBW812, PBW771 & DBW173 while PRVG favoured PBW812, PBW771& JKW261 while consensus observed regarding WH1021 & WH1124 as unstable wheat genotypes. Moreover the average yield of genotypes ranked PBW812, JKW261 & PBW771 as of the order of choice. Values of SI measure had expressed positive correlation of high magnitude with yield, PRVG and MHPRVG whereas indirect relations of high degree with AMMI based stability measures. Values of WAASB measure had positive relations with AMMI based stability measures along with negative values of correlation with SI, yield, PRVG, and MHPRVG.


Author(s):  
Ajay Verma

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.


Author(s):  
Rodrigo Gomes ◽  
Marcos Ventura Faria ◽  
Jocimar Costa Rosa

Abstract: The objective of this work was to evaluate the yield performance, adaptability, and stability of corn (Zea mays) topcross hybrids in nine environments in Brazil, in order to select inbred lines, testers, and promising hybrid combinations for these environments in the second crop season. The trials were carried out during the second crop season of 2017, in six sites in the state of Paraná and three in the state of Mato Grosso do Sul, Brazil. Sixty-six single-cross hybrids, made up of 33 inbred lines crossed with two testers, were evaluated. The stability of the genotypes was assessed by the Schmidt & Cruz method and by the additive main effects and multiplicative interaction (AMMI) methodology. In addition, the genetic parameters and the general combining ability of the testers were estimated. Tester 2 is the most adapted to discriminate inbred lines in the second-crop environments. Inbred lines 12, 21, 23, and 32 are recommended for obtaining hybrids to be cultivated in the second crop season due to their good adaptability and stability and high yield in the crosses in which they participated. The HS123, HS223, and HS232 hybrids present the best performance and are the most recommended for the second-crop environments.


Author(s):  
Ajay Verma ◽  
Gyanendra Pratap Singh

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.


2021 ◽  
Vol 34 (4) ◽  
pp. 739-751
Author(s):  
FELIPE CECCON ◽  
LIVIA MARIA CHAMMA DAVIDE ◽  
MANOEL CARLOS GONÇALVES ◽  
ADRIANO DOS SANTOS ◽  
ELAINE PINHEIRO REIS LOURENTE

ABSTRACT Maize is widely cultivated in Brazil, and nitrogen is a major nutrient for its yield. Azospirillum brasiliense bacteria help in plant nutrient supply; however, maize-Azospirillum symbiosis is not very efficient and requires selection of genotypes with a more efficient association. Multivariate indexes facilitate selection using a single value, and GGE-biplot analysis enables the visualization of the genotype-environment interaction from this value. The present study aimed to select progenies that effectively associate with the bacteria and study the efficiency of progeny selection using a multivariate index observed in the GGE-biplot method. The experiments were conducted in two cities in the state of Mato Grosso do Sul. In a simple 16 × 16 lattice, 256 genotypes were evaluated in the presence and absence of diazotrophic bacteria. PH, SL, SD, FI, HGM, SS, and GY were measured for the construction of a selection index. Genotypes exhibited significant genotype–environment interactions for all evaluated traits, allowing their use in the selection index. High-yield genotypes were not those with the highest selection index values. The traits GY, SD, HGM, SS, SL, and PH contributed the most to the construction of the index. The no-till system may have contributed to the weaker response of maize inoculated with Azospirillum brasiliense. Genotype 96 had the highest values of the characteristics used to calculate the GISI, along with the stability between environments.


2021 ◽  
Vol 117 (4) ◽  
pp. 1
Author(s):  
Leyla NAZARI ◽  
Ebrahim DEHGHANIAN ◽  
Afshar ESTAKHR ◽  
Azim KHAZAEI ◽  
Behzad SORKHILALEHLOO ◽  
...  

<p class="042abstractstekst">Sorghum (<em>Sorghum bicolor</em> (L.) Moench) is the fifth important cereal considered a drought-tolerant crop. However, its reduction of grain yield considerably occurs in a shortage of water. In the current study, 10 sorghum genotypes were assessed for their grain yield under normal irrigation and water deficit irrigation. As well, the efficacy of several drought indices was evaluated for the selection of high-yield and drought-tolerant genotypes. The experiment was conducted as a split-plot considering three irrigation levels as main-plot and 10 genotypes as sub-plot. Correlation among the indices, clustering of the genotypes along with principal component analysis was employed. Yield production was significantly and positively correlated with indices MP (mean productivity), STI (stress tolerance index), GMP (geometric productivity), HM (harmonic mean), and YI (yield index) in all the irrigation levels. Therefore, these indices are more effective in the selection of high-yielding genotypes under different water conditions. Rank means of stress indices for each genotype revealed that genotype TN-04-79 in mild deficit irrigation and genotypes KGS23 and TN-04-79 in severe deficit irrigation were the most tolerant.</p>


Metahumaniora ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. 354
Author(s):  
Ferli Hasanah

ABSTRAKGramatika pada setiap bahasa memiliki kekhasannya masing-masing.Mahasiswa Program Studi Sastra Perancis tahun pertama sebagai pembelajar pemulasering mengalami kesulitan dalam memahami gramatika bahasa. Kesulitan mereka tidakterlepas dari perbedaan-perbedaan mendasar pada struktur bahasa Indonesia sebagaibahasa ibu mereka dan bahasa Perancis yang tengah dipelajari. Penelitian ini dilaksanakandengan tujuan untuk mengetahui hambatan yang dimiliki mahasiswa pembelajar pemuladi Program Studi Sastra Perancis Universitas Padjadjaran dalam memahami gramatikabahasa Perancis. Metode yang digunakan dalam penelitian ini adalah metode simak dancatat. Hasil analisis ini menunjukkan bahwa kesalahan-kesalahan yang umum dilakukanpembelajar pemula ada pada penggunaan accent, konjugasi verba, partikel défini maupunindéfini, accord penanda feminin atau jamak, serta pemilihan preposisi.Kata kunci: gramatika, bahasa Perancis, konjugasiABST RACTThe grammar in every language has its own particularities. French literaturestudents in the first year as a beginner learners often have problem in understandingFrench grammar which is frequently considered difficult. Their struggle is inseparablefrom the fundamental differences between Indonesian structure as their mother tongueand the French language which being studied. This research aims to know the obstaclesof the students of beginner learners in the French Literature of Padjadjaran university inunderstanding the basic French grammar. The method used in this research is referringand taking notes method. The results of the analysis shows that the common mistakes oflearners are in the use of accents, verb conjugations, particles défini or indéfini, markeraccord feminine or plural, and the selection of prepositions.Keywords: grammar, French, conjugation


2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199295
Author(s):  
Ziqiang Zhang ◽  
Qi Yang ◽  
Xingkun Liu ◽  
Chuanzhong Zhang ◽  
Jinnong Liao

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.


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