Breeding Line Selection Based on Multiple Traits

Crop Science ◽  
2008 ◽  
Vol 48 (2) ◽  
pp. 417-423 ◽  
Author(s):  
Weikai Yan ◽  
Judith Frégeau-Reid
Keyword(s):  
Breeding Line ◽  
Multiple Traits ◽  
Line Selection

scholarly journals Multiple Traits-based Analysis of Tartary Buckwheat Landraces Using GGE-Biplot

2013 ◽  
Vol 13 (1) ◽  
pp. 1-6
Author(s):  
Bal K Joshi
Keyword(s):  
Grain Yield ◽  
Quantitative Traits ◽  
Pure Line ◽  
Tartary Buckwheat ◽  
Multiple Traits ◽  
Crop Breeding ◽  
Line Selection ◽  
Number Of Leaves ◽  
Check Variety ◽  
Selection Of

Selection of landraces using multiple traits can be considered more effective in crop breeding program. The objective was to enhance the yield performance of landraces of Tartary buckwheat through pure line selection method. Seven landraces were selected from the evaluation trials of 105 accessions in 2007 and 2008 based on the grain yield per plant and analyzed by genotype by trait (GT) biplot using seven quantitative traits: plant height, grain yield, number of leaves, number of grains, days to maturity, 500-grain weight and number of primary branches. The landrace, Ghyuri was found to be the best landrace based on the multiple traits analysis and it produced the highest grain yield (5.36 g per plant) and had the highest number of grains (276). The weight of 500-grain was the lowest (8.08 g) in check variety, i.e., Kabre Tite. Ghyuri followed by MY-2-33-1 had higher values for all these traits, where as Kabre Tite had below average values for all traits. Nepal Journal of Science and Technology Vol. 13, No. 1 (2012) 1-6 DOI: http://dx.doi.org/10.3126/njst.v13i1.7392 

High throughput quantitative volatile profiling of melons with silicone rod extraction – thermal desorption – GC–MS for plant breeding line selection

2019 ◽  
Vol 270 ◽  
pp. 368-374 ◽  
Author(s):  
Aniko Kende ◽  
Pei Pei Lim ◽  
Florence Lai ◽  
Michael Jessop ◽  
Lauraine Swindale ◽  
...  
Keyword(s):  
Plant Breeding ◽  
Thermal Desorption ◽  
High Throughput ◽  
Breeding Line ◽  
Line Selection ◽  
Silicone Rod

scholarly journals The inhibitory potency of isoxazole-curcumin analogue for the management of breast cancer: A comparative in vitro and molecular modeling investigation

2021 ◽  
Author(s):  
Fiona C. Rodrigues ◽  
N. V. Anil Kumar ◽  
Gangadhar Hari ◽  
K. S. R. Pai ◽  
Goutam Thakur
Keyword(s):  
Breast Cancer ◽  
Herbal Remedy ◽  
Cancer Cell Line ◽  
Heterocyclic Ring ◽  
Regulatory Role ◽  
Multiple Traits ◽  
One Pot ◽  
Anticancer Efficacy ◽  
Improved Stability

AbstractCurcumin, a potent phytochemical derived from the spice element turmeric, has been identified as a herbal remedy decades ago and has displayed promise in the field of medicinal chemistry. However, multiple traits associated with curcumin, such as poor bioavailability and instability, limit its effectiveness to be accepted as a lead drug-like entity. Different reactive sites in its chemical structure have been identified to incorporate modifications as attempts to improving its efficacy. The diketo group present in the center of the structural scaffold has been touted as the group responsible for the instability of curcumin, and substituting it with a heterocyclic ring contributes to improved stability. In this study, four heterocyclic curcumin analogues, representing some broad groups of heterocyclic curcuminoids (isoxazole-, pyrazole-, N-phenyl pyrazole- and N-amido-pyrazole-based), have been synthesized by a simple one-pot synthesis and have been characterized by FTIR, 1H-NMR, 13C-NMR, DSC and LC–MS. To predict its potential anticancer efficacy, the compounds have been analyzed by computational studies via molecular docking for their regulatory role against three key proteins, namely GSK-3β—of which abnormal regulation and expression is associated with cancer; Bcl-2—an apoptosis regulator; and PR which is a key nuclear receptor involved in breast cancer development. One of the compounds, isoxazole-curcumin, has consistently indicated a better docking score than the other tested compounds as well as curcumin. Apart from docking, the compounds have also been profiled for their ADME properties as well as free energy binding calculations. Further, the in vitro cytotoxic evaluation of the analogues was carried out by SRB assay in breast cancer cell line (MCF7), out of which isoxazole-curcumin (IC50–3.97 µM) has displayed a sevenfold superior activity than curcumin (IC50–21.89 µM). In the collation of results, it can be suggested that isoxazole-curcumin behaves as a potential lead owing to its ability to be involved in a regulatory role with multiple significant cancer proteins and hence deserves further investigations in the development of small molecule-based anti-breast cancer agents. Graphic abstract

scholarly journals Penalized partial least squares for pleiotropy

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Camilo Broc ◽  
Therese Truong ◽  
Benoit Liquet
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Association Studies ◽  
A Priori ◽  
Simulated Data ◽  
Real Data ◽  
Genome Wide Association Studies ◽  
Genetic Associations ◽  
Multiple Traits ◽  
Application Fields

Abstract Background The increasing number of genome-wide association studies (GWAS) has revealed several loci that are associated to multiple distinct phenotypes, suggesting the existence of pleiotropic effects. Highlighting these cross-phenotype genetic associations could help to identify and understand common biological mechanisms underlying some diseases. Common approaches test the association between genetic variants and multiple traits at the SNP level. In this paper, we propose a novel gene- and a pathway-level approach in the case where several independent GWAS on independent traits are available. The method is based on a generalization of the sparse group Partial Least Squares (sgPLS) to take into account groups of variables, and a Lasso penalization that links all independent data sets. This method, called joint-sgPLS, is able to convincingly detect signal at the variable level and at the group level. Results Our method has the advantage to propose a global readable model while coping with the architecture of data. It can outperform traditional methods and provides a wider insight in terms of a priori information. We compared the performance of the proposed method to other benchmark methods on simulated data and gave an example of application on real data with the aim to highlight common susceptibility variants to breast and thyroid cancers. Conclusion The joint-sgPLS shows interesting properties for detecting a signal. As an extension of the PLS, the method is suited for data with a large number of variables. The choice of Lasso penalization copes with architectures of groups of variables and observations sets. Furthermore, although the method has been applied to a genetic study, its formulation is adapted to any data with high number of variables and an exposed a priori architecture in other application fields.

scholarly journals Comparison of Selection Signatures between Korean Native and Commercial Chickens Using 600K SNP Array Data

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 824
Author(s):  
Sunghyun Cho ◽  
Prabuddha Manjula ◽  
Minjun Kim ◽  
Eunjin Cho ◽  
Dooho Lee ◽  
...  
Keyword(s):  
Snp Array ◽  
Initial Step ◽  
Reproductive Organs ◽  
High Linkage Disequilibrium ◽  
Primary Data ◽  
Multiple Traits ◽  
Indigenous Chicken ◽  
Primary Data Analysis ◽  
The Government ◽  
Commercial Chickens

Korean native chickens (KNCs) comprise an indigenous chicken breed of South Korea that was restored through a government project in the 1990s. The KNC population has not been developed well and has mostly been used to maintain purebred populations in the government research institution. We investigated the genetic features of the KNC population in a selection signal study for the efficient improvement of this breed. We used 600K single nucleotide polymorphism data sampled from 191 KNCs (NG, 38; NL, 29; NR, 52; NW, 39; and NY, 33) and 54 commercial chickens (Hy-line Brown, 10; Lohmann Brown, 10; Arbor Acres, 10; Cobb, 12; and Ross, 12). Haplotype phasing was performed using EAGLE software as the initial step for the primary data analysis. Pre-processed data were analyzed to detect selection signals using the ‘rehh’ package in R software. A few common signatures of selection were identified in KNCs. Most quantitative trait locus regions identified as candidate regions were associated with traits related to reproductive organs, eggshell characteristics, immunity, and organ development. Block patterns with high linkage disequilibrium values were observed for LPP, IGF11, LMNB2, ERBB4, GABRB2, NTM, APOO, PLOA1, CNTN1, NTSR1, DEF3, CELF1, and MEF2D genes, among regions with confirmed selection signals. NL and NW lines contained a considerable number of selective sweep regions related to broilers and layers, respectively. We recommend focusing on improving the egg and meat traits of KNC NL and NW lines, respectively, while improving multiple traits for the other lines.

scholarly journals Constraints on the ecomorphological convergence of zooplanktivorous butterflyfishes

2021 ◽  
Author(s):  
Jennifer R Hodge ◽  
Yutong Song ◽  
Molly A Wightman ◽  
Analisa Milkey ◽  
Binh Tran ◽  
...  
Keyword(s):  
Evolutionary History ◽  
Swimming Performance ◽  
Morphological Evolution ◽  
Distinct Type ◽  
Ancestral State ◽  
Multiple Traits ◽  
Visual Identification ◽  
Form Function ◽  
Morphological Distinction ◽  
Foraging Modes

Abstract Whether distantly related organisms evolve similar strategies to meet the demands of a shared ecological niche depends on their evolutionary history and the nature of form-function relationships. In fishes, the visual identification and consumption of microscopic zooplankters, selective zooplanktivory, is a distinct type of foraging often associated with a suite of morphological specialisations. Previous work has identified inconsistencies in the trajectory and magnitude of morphological change following transitions to selective zooplanktivory, alluding to the diversity and importance of ancestral effects. Here we investigate whether transitions to selective zooplanktivory have influenced the morphological evolution of marine butterflyfishes (family Chaetodontidae), a group of small-prey specialists well known for several types of high-precision benthivory. Using Bayesian ancestral state estimation, we inferred the recent evolution of zooplanktivory among benthivorous ancestors that hunted small invertebrates and browsed by picking or scraping coral polyps. Traits related to the capture of prey appear to be functionally versatile with little morphological distinction between species with benthivorous and planktivorous foraging modes. In contrast, multiple traits related to prey detection or swimming performance are evolving toward novel, zooplanktivore-specific optima. Despite a relatively short evolutionary history, general morphological indistinctiveness, and evidence of constraint on the evolution of body size, convergent evolution has closed a near significant amount of the morphological distance between zooplanktivorous species. Overall, our findings describe the extent to which the functional demands associated with selective zooplanktivory have led to generalisable morphological features among butterflyfishes and highlight the importance of ancestral effects in shaping patterns of morphological convergence.

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