scholarly journals Assessment of Genetic Diversity for Yield and its Attributing Traits in Tomato (Solanum lycopersicum L.) Genotypes for Protected Conditions

2021 ◽  
Author(s):  
Anuradha Sinha ◽  
Paramveer Singh ◽  
Randhir Kumar ◽  
Ajay Bhardwaj ◽  
Swapnil .
Keyword(s):  
Genetic Diversity ◽  
Tomato Plant ◽  
Yield Potential ◽  
High Yield ◽  
Mean Values ◽  
Solanum Lycopersicum L ◽  
Protected Cultivation ◽  
Cluster Distance ◽  
Hybridization Programme ◽  
High Yield Potential

Background: Tomato plant has high yield potential, although the yield is very low because of non-availability of superior cultivars for protected cultivation. Presence of diversity is an important for variety development. Hybridization among divergent parents is probably produce ample variability and helps to isolate superior recombinants. So, the study was carried out to assess of genetic diversity in tomato for choosing promising and genetically diverse parents for improvement in yield for protected cultivation. Methods: Fourteen genotypes of tomato were planted inside naturally ventilated polyhouse during September 2018 to May 2019. The data were recorded for twenty-one characters from randomly five tagged plants from each genotype and genetic diversity was computed by utilizing Mahalanobis D2 analysis. Result: All genotypes were arranged into five highly divergent clusters in which cluster I contain maximum genotypes followed by cluster II. The intra cluster distance was highest in cluster I and inter-cluster distance was highest among cluster-II and V. Cluster means indicated that cluster II had high mean values for maximum traits. The highest contribution towards genetic diversity was shown by fruit yield/plant followed by number of fruits per plant. Based on breeding objectives, potential lines are selected as parents for utilization in hybridization programme.

scholarly journals Genetic divergence studies in clusterbean [Cyamopsis Tetragoloba (L.) Taub.] genotypes for seed yield and gum content under rain-fed conditions

2017 ◽  
Vol 9 (1) ◽  
pp. 389-394
Author(s):  
Sukhdeep Singh ◽  
Baldeep Singh ◽  
Gajraj Singh
Keyword(s):  
Genetic Diversity ◽  
Genetic Material ◽  
Yield Potential ◽  
High Yield ◽  
Wide Range ◽  
Cluster Distance ◽  
Transgressive Segregants ◽  
Gum Content ◽  
Clustering Pattern ◽  
High Yield Potential

The genetic diversity among 33 cluster bean genotypes was evaluated under rain fed conditions during kharif 2012. The genetic material exhibited wide range of genetic diversity for all the twelve characters investigated. All the genotypes were grouped into seven different clusters. Cluster I was the largest comprising 11 genotypes followed by cluster II consisting of 8 genotypes, cluster V (5), cluster VI (4), cluster IV (2), cluster VII (2), cluster III (1). The clustering pattern indicated that there was lot of diversity among the genotypes and there was no relationship and independent. The intra cluster distance was highest at cluster VI followed by cluster I and II over others. The between the genetic and geographical diversity of the genotypes, but the distribution of the genotypes was random higher magnitude of inter-cluster distance were observed between cluster IV and VI (7.644) followed by cluster IV and cluster III and IV (5.861) and cluster II and V (5.834) indicating wider genetic diversity between the genotypes in V (7.582); cluster II and IV (6.802); cluster IV and VII (6.682); cluster I and IV (6.569); cluster II and VII (6.052); likely to produce more transgressive segregants. It is suggested that genotypes belonging to the clusters I, IV and VII these clusters. The uses of genotypes in hybridization from these clusters having most of the desirable characters are having diversified growth habit may be crossed with genotypes belonging to cluster II as they may be expected to produce good segregants with high yield potential.

scholarly journals Evaluation of Genetic Divergence among Barley Genotypes Based on Agro-Morphological Characters

2020 ◽  
pp. 102-110
Author(s):  
Zerihun Jalata ◽  
Belay Garoma ◽  
B. C. Nandeshwar
Keyword(s):  
Genetic Divergence ◽  
Principal Component ◽  
Morphological Characters ◽  
Yield Potential ◽  
High Yield ◽  
Net Blotch ◽  
Kernel Weights ◽  
Cluster Distance ◽  
Barley Genotypes ◽  
High Yield Potential

The knowledge of nature and the magnitude of divergence existing in the breeding materials are useful to identify suitable parents or populations to combine favorable genes. Thus, 28 barley genotypes were evaluated at Gitilo site in RCB design with three replications during the 2018/19 season. The aim of the study was to investigate the magnitude of genetic divergence among the existing breeding materials. The result revealed that the barley genotypes were grouped into four clusters. The inter-cluster distance was greater between clusters I and II, followed by cluster II and III and then between clusters II and IV, I and IV, III and IV, between I and III so that crossing among parents from distant clusters result in wide array populations with desirable alleles. Besides this, cluster mean analysis showed clusters IV and III contained desirable characters for high yield potential including net blotch and scald resistance indicating their suitability for direct variety development. The variation studied through principal component analysis revealed four principal components (PC1:32.7%, PC2:22.4%, PC3:16.7% and PC4:11.6%) accounting for about 83.4% of the total variation. Furthermore, the biplot graph identified barley genotypes or populations 21, 20, 24 and 12 as desirable parents mainly for grain yield, biomass yield per plant and thousand kernel weights.

High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy

Euphytica ◽  
2007 ◽  
Vol 157 (3) ◽  
pp. 365-384 ◽  
Author(s):  
Rodomiro Ortiz ◽  
Richard Trethowan ◽  
Guillermo Ortiz Ferrara ◽  
Masa Iwanaga ◽  
John H. Dodds ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Yield Potential ◽  
High Yield ◽  
Improvement Strategy ◽  
Wheat Improvement ◽  
High Yield Potential

scholarly journals Agro-morphological and quality characterization of Badshah bhog group from aromatic rice germplasm of Chhattisgarh

1970 ◽  
Vol 33 (3) ◽  
pp. 479-492 ◽  
Author(s):  
Rita Bisne ◽  
AK Sarawgi
Keyword(s):  
Morphological Characters ◽  
Yield Potential ◽  
High Yield ◽  
Aromatic Rice ◽  
Biotic And Abiotic Stresses ◽  
Breeding Programmes ◽  
Immense Potential ◽  
Hybridization Programme ◽  
High Yield Potential

India sub continent is a home for aromatic rice diversity. Land races and wild species possess immense potential of most valuable genes which can he effectively utilized in the present day breeding programmes to evolve miracle varieties in rice that possess not high yield potential and quality but also resistant to biotic and abiotic stresses. The present studies were carried out to characterize thirty two aromatic rice accessions of Badshah bhog group from IGKV, Raipur, Chhattisgarh germplasm. These germplasm accessions were evaluated for twenty-two morphological, six agronomical and eight quality characters. The specific genotypes B: 1340, B: 2039, B: 2495, B: 2816, B: 16930 B: 2354, B:1639, B:2094 were identified for quality and agronomical characteristics. These may be used in hybridization programme to achieve desired segregants for good grain quality with higher yield. Key Words: Morphological characters. quality characters, characterization in aromatic rice. doi:10.3329/bjar.v33i3.1607 Bangladesh J. Agril. Res. 33(3) : 479-492, September 2008

FloRunTM ‘331’ Peanut Variety

EDIS ◽  
2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Barry L. Tillman
Keyword(s):  
Seed Size ◽  
Growth Habit ◽  
Yield Potential ◽  
High Yield ◽  
University Of Florida ◽  
High Oleic ◽  
Central Stem ◽  
Research And Education ◽  
The University ◽  
High Yield Potential

FloRunTM ‘331’ peanut variety was developed by the University of Florida, Institute of Food and Agricultural Sciences, North Florida Research and Education Center near Marianna, Florida.  It was released in 2016 because it combines high yield potential with excellent disease tolerance. FloRunTM ‘331’ has a typical runner growth habit with a semi-prominent central stem and medium green foliage.  It has medium runner seed size with high oleic oil chemistry.

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

scholarly journals Yield component variation in winter wheat grown under drought stress

2000 ◽  
Vol 80 (4) ◽  
pp. 739-745 ◽  
Author(s):  
B. L. Duggan ◽  
D. R. Domitruk ◽  
D. B. Fowler
Keyword(s):  
Drought Stress ◽  
Winter Wheat ◽  
Grain Yield ◽  
Triticum Aestivum L ◽  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Crop Water ◽  
Kernel Number ◽  
High Yield Potential

Crops produced in the semiarid environment of western Canada are subjected to variable and unpredictable periods of drought stress. The objective of this study was to determine the inter-relationships among yield components and grain yield of winter wheat (Triticum aestivum L) so that guidelines could be established for the production of cultivars with high yield potential and stability. Five hard red winter wheat genotypes were grown in 15 field trials conducted throughout Saskatchewan from 1989–1991. Although this study included genotypes with widely different yield potential and yield component arrangements, only small differences in grain yield occurred within trials under dryland conditions. High kernel number, through greater tillering, was shown to be an adaptation to low-stress conditions. The ability of winter wheat to produce large numbers of tillers was evident in the spring in all trials; however, this early season potential was not maintained due to extensive tiller die-back. Tiller die-back often meant that high yield potential genotypes became sink limiting with reduced ability to respond to subsequent improvements in growing season weather conditions. As tiller number increased under more favourable crop water conditions genetic limits in kernels spike−1 became more identified with yield potential. It is likely then, that tillering capacity per se is less important in winter wheat than the development of vigorous tillers with numerous large kernels spike−1. For example, the highest yielding genotype under dryland conditions was a breeding line, S86-808, which was able to maintain a greater sink capacity as a result of a higher number of larger kernels spike−1. It appears that without yield component compensation, a cultivar can be unresponsive to improved crop water conditions (stable) or it can have a high mean yield, but it cannot possess both characteristics. Key words: Triticum aestivum L., wheat, drought stress, kernel weight, kernel number, spike density, grain yield

OAC Bruton soybean

2018 ◽  
Vol 98 (6) ◽  
pp. 1389-1391
Author(s):  
S. Torabi ◽  
B.T. Stirling ◽  
J. Kobler ◽  
M. Eskandari
Keyword(s):  
Soybean Cyst Nematode ◽  
Protein Concentration ◽  
Seed Protein ◽  
Cyst Nematode ◽  
Yield Potential ◽  
High Yield ◽  
Seed Protein Concentration ◽  
Glycine Max L ◽  
Group 1 ◽  
High Yield Potential

OAC Bruton is an indeterminate large-seeded food-grade soybean [Glycine max (L.) Merr.] cultivar with high yield potential, high seed protein concentration, and resistance to soybean cyst nematode (SCN). OAC Bruton is developed and recommended for soybean growing areas in southwestern Ontario with 2950 or greater crop heat units. OAC Bruton is classified as a maturity group 1 (MG1) cultivar with a relative maturity of 1.8.

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