scholarly journals Diversity analysis and structural modeling for some traits in wheat genotypes

2021 ◽  
pp. 127-135
Author(s):  
Maysoun M. Saleh ◽  
Rajaa Kenaan ◽  
Zaeda Alsayd Suliman ◽  
Walid A. Ali ◽  
Yaman Jabbour
Keyword(s):  
Cluster Analysis ◽  
Grain Yield ◽  
Agricultural Research ◽  
Structural Modeling ◽  
Wheat Genotypes ◽  
Eigen Value ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
And Cluster Analysis ◽  
Different Origins

This investigation was carried out during 2018/2019 season in three locations Homs, Al-Swaida and Tartous belongs to the General Commission for Scientific Agricultural Research in Syria, using 17 Italian, Syrian and Ethiopian wheat genotypes to estimate the potential diversity by principle component and cluster analysis, and to study the structural modeling between grain yield and other traits to define best traits as predictors and selection indexes of grain yield, and to determine the superior genotypes in grain yield. Results indicated a remarkable variation of 74% due only to the first four principle components with Eigen value > 1. PC Biplot showed that Tartous was the best location, and the genotype SD09 was superior in grain yield per plant followed by SH5 and IP39. Structural modeling results revealed that the total and fertile tillers number per plant were the best predictors for grain yield per plant, while fertile tillers per plant with grain weight per spike could be used as selection indexes of wheat grain yield because they had positive strong direct effect on grain yield per plant. Cluster analysis results confirmed the need to assess more various genotypes from different origins.

scholarly journals Evaluation of Wheat Genotypes in Far Western Hills of Nepal

2015 ◽  
Vol 3 (3) ◽  
pp. 417-422
Author(s):  
Hari Kumar Prasai ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
River Basin ◽  
Treatment Effect ◽  
Agricultural Research ◽  
Research Station ◽  
Combined Analysis ◽  
Wheat Genotypes ◽  
Yield Trial ◽  
The Difference ◽  
Year 2013

Coordinated Varietal Trial (CVT) and Advanced Varietal Trial (AVT) of wheat were conducted at Regional Agricultural Research Station,Doti during the year 2012 and 2013. Microplot Yield Trial (MPYT) were conducted during the year 2013. Total 20 genotypes were includedin CVT experiment of both years. Although the difference in grain yield due to genotypes was not found significant during the year 2012, NL1144 recorded the highest grain yield (4309 kg/ha) followed by NL 1140 (4295 kg/ha) and NL 1147 (4165 kg/ha) respectively. But in the year2013, NL 1097 produced the highest grain yield (4641 kg/ha) followed by NL 1135 (4383 kg/ha) and NL 1164 (4283 kg/ha) respectively.Statistically, the difference in grain yield due to genotypes was not found significant in the year 2013. Combined analysis over years was alsocarried out. Out of 20, only 10 genotypes were included in the CVT experiment, which were found similar in both years. Genotypes NL 1097(4079 kg/ha), NL 1140 (3814 kg/ha) and NL 1093 (3773 kg/ha) were found high yielding genotypes for river basin agro-environment of farwestern hills. Statistically, effect of year in tested characters was found significant whereas treatment effect was observed non-significant.Similarly, 20 genotypes of wheat were included in AVT of wheat during the year 2012 and 2013. Out of the genotypes included in AVT duringthe year 2012, KISKADEE No.1recorded the highest grain yield (3824 kg/ha) followed by CHEWINK No. 1 (3643 kg/ha) and WK 2120 (3583kg/ha). Statistically all the tested characters except grain yield were found significantly different due to genotypes. But in the same experimentof the year 2013, WK 2412 genotype recorded the highest grain yield (4407 kg/ha) followed by WK 2411 (4329 kg/ha) and Munal-1 (4054kg/ha). Statistically the difference in grain yield and other tested characters were found significantly different. Due to dissimilarity in the testedgenotypes we could not carry-out the combined analysis over years. Total 30 genotypes were included in the MPYT experiment of the year2013. Genotype WK 2272 recorded the highest grain yield (6080 kg/ha) followed by the genotypes WK 2274 (5152 kg/ha) and WK 2278(4480 kg/ha) respectively. Statistically, the difference in grain yield and other tested characters were found significantly different due togenotypes.Int J Appl Sci Biotechnol, Vol 3(3): 417-422

scholarly journals Tolerance to preharvest sprouting and yield of wheat genotypes from different breeding programs

2015 ◽  
Vol 50 (8) ◽  
pp. 698-706
Author(s):  
Rafael Nörnberg ◽  
José Antonio Gonzalez da Silva ◽  
Henrique de Souza Luche ◽  
Elisane Weber Tessmann ◽  
Sydney Antonio Frehner Kavalco ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Preharvest Sprouting ◽  
Rio Grande Do Sul ◽  
Falling Number ◽  
Breeding Programs ◽  
Wheat Genotypes ◽  
Randomized Complete Block Design ◽  
Superior Genotypes ◽  
Selection Of

Abstract:The objective of this work was to characterize the performance of elite wheat genotypes from different Brazilian breeding programs for traits associated with grain yield and preharvest sprouting. The study was conducted in 2010 and 2011 in the municipality of Capão do Leão, in the state of Rio Grande do Sul, Brazil, in a randomized complete block design with three replicates. Thirty-three wheat genotypes were evaluated for traits related to preharvest sprouting and grain yield. The estimate of genetic distance was used to predict potential combinations for selection of plants with high grain yield and tolerance to preharvest sprouting. The combined analysis of sprouted grains and falling number shows that the TBIO Alvorada, TBIO Mestre, Frontana, Fundacep Raízes, Fundacep Cristalino, and BRS Guamirim genotypes are tolerant to preharvest sprouting. Combinations of TBIO Alvorada and TBIO Mestre with Fundacep Cristalino show high potential for recovering superior genotypes for high grain yield and tolerance to preharvest sprouting.

scholarly journals Genetic variations, heritability, heat tolerance indices and correlations studies for traits of bread wheat genotypes under high temperature

2019 ◽  
Vol 11 (5) ◽  
pp. 672-686
Author(s):  
Elfadil Mohamed Elbashier ◽  
Elfadil Mohammed Eltayeb Elbashier ◽  
Siddig Esa Idris2 ◽  
Wuletaw Tadesse ◽  
Izzat S.A. Tahir ◽  
...  
Keyword(s):  
Heat Stress ◽  
High Temperature ◽  
Grain Yield ◽  
Bread Wheat ◽  
Heat Tolerance ◽  
Agricultural Research ◽  
Canopy Temperature ◽  
Content Type ◽  
Wheat Genotypes ◽  
Tolerance Indices

PurposeThe purpose of this paper was to study the genetic variability, heritability, heat tolerance indices and phenotypic and genotypic correlation studies for traits of 250 elite International Center for Agricultural Research in the Dry Areas (ICARDA) bread wheat genotypes under high temperature in Wad Medani, Center in Sudan.Design/methodology/approachBread wheat is an important food on a global level and is used in the form of different products. High temperature associated with climate change is considered to be a detrimental stress in the future on world wheat production. A total of 10,250 bread wheat genotypes selected from different advanced yield trials introduction from ICARDA and three checks including were grown in two sowing dates (SODs) (1st and 2nd) 1st SOD heat stress and 2nd SOD non-stress at the Gezira Research Farm, of the Agricultural Research Corporation, Wad Medani, Sudan.FindingsAn alpha lattice design with two replications was used to assess the presence of phenotypic and genotypic variations of different traits, indices for heat stress and heat tolerance for 20 top genotypes and phenotypic and genotypic correlations. Analysis of variance revealed significant differences among genotypes for all the characters. A wide range, 944-4,016 kg/ha in the first SOD and 1,192-5,120 kg/ha in the second SOD, was found in grain yield. The average yield on the first SOD is less than that of the secondnd SOD by 717.7 kg/ha, as the maximum and minimum temperatures were reduced by 3ºC each in the second SOD when compared to the first SOD of the critical stage of crop growth shown.Research limitations/implicationsSimilar wide ranges were found in all morpho-physiological traits studied. High heritability in a broad sense was estimated for days to heading and maturity. Moderate heritability estimates found for grain yield ranged from 44 to 63.6 per cent, biomass ranged from 37.8 to 49.1 per cent and canopy temperature (CT) after heading ranged from 44.2 to 48 per cent for the first and secondnd SODs. The top 20 genotypes are better than the better check in the two sowing dates and seven genotypes (248, 139, 143, 27, 67, 192 and 152) were produced high grain yield under both 1st SOD and 2nd SOD.Practical implicationsThe same genotypes in addition to Imam (check) showed smaller tolerance (TOL) values, indicating that these genotypes had a smaller yield reduction under heat-stressed conditions and that they showed a higher heat stress susceptibility index (SSI). A smaller TOL and a higher SSI are favored. Both phenotypic and genotypic correlations of grain yield were positively and significantly correlated with biomass, harvest index, number of spikes/m2, number of seeds/spike and days to heading and maturity in both SODs and negatively and significantly correlated with canopy temperature before and after heading in both SODs.Originality/valueGenetic variations, heritability, heat tolerance indices and correlation studies for traits of bread wheat genotypes under high temperature

scholarly journals Selection indexes for agronomic and chemical traits in segregating sweet corn populations

2020 ◽  
Vol 38 (1) ◽  
pp. 71-77
Author(s):  
Marina F e Silva ◽  
Gabriel M Maciel ◽  
Rafael R Finzi ◽  
Joicy Vitoria M Peixoto ◽  
Wender S Rezende ◽  
...  
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Sweet Corn ◽  
Path Coefficient ◽  
Corn Breeding ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
Chemical Traits ◽  
Industrial Yield ◽  
Selection Of

ABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY.

scholarly journals Genotype by environment interaction analysis of wheat (Triticum aestivum L.) grain yield under rain-fed conditions in Zambia

2021 ◽  
Vol 53 (4) ◽  
pp. 609-619
Author(s):  
B. Tembo
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Interaction Analysis ◽  
Crop Improvement ◽  
Genotype By Environment Interaction ◽  
Research Station ◽  
Environment Interaction ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Genotype By Environment

Understanding genotype by environment interaction (GEI) is important for crop improvement because it aids in the recommendation of cultivars and the identification of appropriate production environments. The objective of this study was to determine the magnitude of GEI for the grain yield of wheat grown under rain-fed conditions in Zambia by using the additive main effects and multiplicative interaction (AMMI) model. The study was conducted in 2015/16 at Mutanda Research Station, Mt. Makulu Research Station and Golden Valley Agricultural Research Trust (GART) in Chibombo. During2016/17, the experiment was performed at Mpongwe, Mt. Makulu Research Station and GART Chibombo, Zambia. Fifty-five rain-fed wheat genotypes were evaluated for grain yield in a 5 × 11 alpha lattice design with two replications. Results revealed the presence of significant variation in yield across genotypes, environments, and GEI indicating the differential performance of genotypes across environments. The variance due to the effect of environments was higher than the variances due to genotypes and GEI. The variances ascribed to environments, genotypes, and GEI accounted for 45.79%, 12.96%, and 22.56% of the total variation, respectively. These results indicated that in rain-fed wheat genotypes under study, grain yield was more controlled by the environment than by genetics. AMMI biplot analysis demonstrated that E2 was the main contributor to the GEI given that it was located farthest from the origin. Furthermore, E2 was unstable yet recorded the highest yield. Genotype G47 contributed highly to the GEI sum of squares considering that it was also located far from the origin. Genotypes G12 and G18 were relatively stable because they were situated close to the origin. Their position indicated that they had minimal interaction with the environment. Genotype 47 was the highest-yielding genotype but was unstable, whereas G34 was the lowest-yielding genotype and was unstable.

scholarly journals Agronomic evaluation of cowpea cultivars developed for the West African Savannas

2017 ◽  
Author(s):  
A. Y. Kamara ◽  
S. Ewansiha ◽  
H. Ajeigbe ◽  
L. Omoigui ◽  
A. I. Tofa ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Selection Index ◽  
Principal Component ◽  
Cowpea Cultivars ◽  
Breeding Populations ◽  
Fodder Yield ◽  
Superior Genotypes ◽  
And Cluster Analysis ◽  
On Farm

The goal of this research was to evaluate diverse cowpea genotypes developed over the past 4 decades in the Nigerian Sudan Savannas for their agronomic performance and to identify groups of cultivars with similar quantitative characters. Characterization would facilitate the efficient synthesis of breeding populations for further improvement of cowpea. Also superior genotypes with desirable characteristics could be identified and disseminated in the dry savannas of West Africa. Significant variations were observed in the agronomic characteristics of the cultivars in this study. Principal component analysis (PCA) and cluster analysis were performed on these genotypes and found that there were significant correlations among the variables measured. Modern cultivars outperformed the older ones and from the results of PCA, it was found that the most important variables for the classification of cowpea cultivars are high canopy, high seed weight, high total dry matter, high HI, and high grain and fodder yield. This suggests that these traits could be used in selection index for genetic improvement of cowpea. Cluster analysis resulted in 5 groups mostly corresponding to era of release except cluster I which contained cowpea cultivars from all eras. Two distinct groups in clusters IV and V were identified. Cultivars in cluster IV which were released in the 1990-2000 eras, had high grain and fodder yield. These cultivars could be evaluated on-farm for eventual release to farmers. They could also be used in breeding program for improvements in grain and fodder yield of cowpea. Cluster V contained two cultivars that distinctly had the highest fodder yield suggesting that they could be used to improve fodder yield of cowpea.

Systematic mixed versus pure stands of wheat genotypes

1978 ◽  
Vol 90 (2) ◽  
pp. 441-444 ◽  
Author(s):  
S. N. Sharma ◽  
Rajendra Prasad
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Indian Agricultural Research Institute ◽  
New Delhi ◽  
Pure Stand ◽  
Agricultural Research Institute ◽  
Mixed Stands ◽  
Wheat Genotypes ◽  
The Mean ◽  
Made In

SummaryA field experiment was made in the wheat growing season (November–April) of 1973–4 at the Indian Agricultural Research Institute, New Delhi, to compare pure and systematic mixed stands of three wheat genotypes differing in plant height. The systematic mixed stands were made to give prismatic and columnar canopy patterns. Grain yield of wheat was significantly greater in the mixed stands than the mean yield in the pure stands; the two mixed stands did not differ significantly. The grain yield in the mixed stands was almost the same or slightly more than that of the largest yielding genotype in its pure stand. When grown in the mixed stand the tall genotype yielded more than in a pure stand but the dwarf genotype yielded less.

scholarly journals Evaluation of yield traits in some primitive wheat genotypes to ensure sustainability of wheat production

2020 ◽  
pp. 1-4
Author(s):  
Maysoun Mohamad Saleh ◽  
Fariza Alsarhan Alsarhan
Keyword(s):  
Yield Components ◽  
Agricultural Research ◽  
Block Design ◽  
Research Centre ◽  
Breeding Programs ◽  
Wheat Genotypes ◽  
Wheat Production ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
Superior Genotypes

Study was conducted at Al-Raqqa Research Centre in The General Commission for Scientific Agricultural Research in Syria during the growing seasons 2011/2012. Eight primitive wheat genotypes and two local cultivated varieties were planted in Randomized Complete Block Design in three replications, yield components (number of fertile tillers, number and weight of grains per spike and weight of thousand grain) were studied. Results showed that the genotype Persian 64 was significantly superior in three traits of yield components (number of fertile tillers, number and weight of grains per spike) comparing to the check sham5, and also the genotype Polish 194 was significantly superior in weight of thousand grain comparing to both checks sham3 and sham5 (53.12, 40.80, 40.02) g respectively with an increase rate 30.20% and 32.73% comparing to both checks sham3 and sham5 respectively. It is recommended to use the superior genotypes in breeding programs to ensure the sustainability of wheat production.

scholarly journals Participatory on-farm evaluation of wheat genotypes

2019 ◽  
Vol 2 (1) ◽  
pp. 312-321
Author(s):  
Deepak Pandey ◽  
Hemant Kumar Chaudhari ◽  
Shesh Raman Upadhyay ◽  
Nutan Raj Gautam ◽  
Bhakti Ram Ghimire ◽  
...  
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Development Programs ◽  
Wheat Genotype ◽  
Improvement Program ◽  
Wheat Genotypes ◽  
Agricultural Research Council ◽  
Geographical Regions ◽  
Check Variety

In wheat development programs, the evaluation and identification of superior genotypes  is the first and leading step in a crop improvement program. Coordinated Farmer’s Field Trial (CFFT) was conducted during the three successive wheat growing season of 2010/11, 2011/12 and 2012/13. In CFFT six different wheat genotypes were planted in different outreach sites of research stations of Nepal Agricultural Research Council (NARC) at varying geographical regions. CFFT was conducted according to standard recommended practices of wheat at farmers’ field with different sets of genotypes for Terai and hill. In CFFT for Terai Tar and Lower valley (TTL) under timely sown irrigated (TSI) condition wheat genotype NL 1073 produced the grain yield of 3695 kg/ha and under the timely sown rainfed (TSR) that was 2738 kg/ha in 2010/11. In 2011/12, wheat genotype NL 1073 had the highest recorded grain yield of 3691 kg/ha in mid western region which was followed by check variety Vijay in CFFT-TTL in 2011/12 in the same region. Similarly in 2012/13, check variety Vijay showed the highest grain yield of 3818 kg/ha and 3044 kg/ha followed by NL 1094 (2938 kg/ha and 3468 kg/ha) in TSR and TSI environments, respectively. In CFFT for Mid and High Hill (MHH) WK 1204 had the highest grain yield of 3967 kg/ha in TSI which was followed by NL 1008 with the yield of 3890 in 2010/11. In 2011/12 the highest mean grain yield was observed in WK 1204 (4242 kg/ha) followed by BL 3872 (3922 kg/ha). Similarly, in 2012/13 NL 1008 was the best genotypes on the basis of grain yield (3297 kg/ha) followed by NL 1055 (3131 kg/ha) under CFFT-MHH.

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