PubAg

Main content area

You searched for: Subject "quantitative traits" Remove constraint Subject: "quantitative traits"
Start Over

Search

11,711  Search Results

« Previous | 1 - 20 of 11,711 |
Number of results to display per page

Search Results

1. Correction to: Quantitative trait mapping in Diversity Outbred mice identifies two genomic regions associated with heart size

Author:
Shorter, John R.; Huang, Wei; Beak, Ju Youn; Hua, Kunjie; Gatti, Daniel M.; de Villena, Fernando Pardo-Manuel; Pomp, Daniel; Jensen, Brian C.
Source:
Mammalian genome 2019 v.30 no.1-2 pp. 42
ISSN:
0938-8990
Subject:
quantitative traits,   etc   ; genomics; heart; mice;     Show all 4 Subjects
Abstract:
... The original article has been published with an incorrect text in Materials and Methods section. The corrected text should read as. ...
DOI:
10.1007/s00335-018-9789-9

2. Gene space completeness in complex plant genomes

Author:
Van Bel, Michiel; Bucchini, François; Vandepoele, Klaas
Source:
Current opinion in plant biology 2019 v.48 pp. 9-17
ISSN:
1369-5266
Subject:
quantitative trait loci,   etc   ; genes; genomics; models;     Show all 4 Subjects
Abstract:
... Genome annotations offer ample opportunities to study gene functions, biochemical and regulatory pathways, or quantitative trait loci in plants. Determining the quality and completeness of a genome annotation, and maintaining the balance between them, are major challenges, even for genomes of well-studied model organisms. In this review, we present a historical overview of the complexity in differ ...
DOI:
10.1016/j.pbi.2019.01.001

3. Simultaneous estimation of QTL parameters for mapping multiple traits

Author:
Tong, Liang; Sun, Xiaoxia; Zhou, Ying
Source:
Journal of genetics 2018 v.97 no.1 pp. 267-274
ISSN:
0022-1333
Subject:
quantitative trait loci; quantitative traits,   etc   ; genes; loci; methodology; phenotype;     Show all 6 Subjects
Abstract:
... The analysis of quantitative trait loci (QTLs) aims at mapping and estimating the positions and effects of the genes that may affect the quantitative trait, and evaluating the relationship between the gene variation and the phenotype. In existing studies, most methods mainly focus on the association/linkage between multiple gene loci and one trait, in which some useful joint information of multipl ...
DOI:
10.1007/s12041-018-0913-0

4. Correction to: Quantitative trait loci for resistance to Flavobacterium psychrophilum in rainbow trout: effect of the mode of infection and evidence of epistatic interactions

Author:
Fraslin, Clémence; Dechamp, Nicolas; Bernard, Maria; Krieg, Francine; Hervet, Caroline; Guyomard, René; Esquerré, Diane; Barbieri, Johanna; Kuchly, Claire; Duchaud, Eric; Boudinot, Pierre; Rochat, Tatiana; Bernardet, Jean-François; Quillet, Edwige
Source:
Genetics, selection, evolution 2019 v.51 no.1 pp. 11
ISSN:
1297-9686
Subject:
quantitative trait loci,   etc   ; Flavobacterium psychrophilum; Oncorhynchus mykiss; epistasis;     Show all 4 Subjects
Abstract:
... After publication of this work [1], we noted that there was an error in Table 3 Line 4. ...
DOI:
10.1186/s12711-019-0451-0

5. Review: Revealing the genetic mechanisms of pre-harvest sprouting in hexaploid wheat (Triticum aestivum L.)

Author:
Vetch, Justin M.; Stougaard, Robert N.; Martin, John M.; Giroux, Michael J.
Source:
Plant science 2019 v.281 pp. 180-185
ISSN:
0168-9452
Subject:
quantitative trait loci; quantitative traits,   etc   ; Triticum aestivum; breeding; genes; grain yield; hexaploidy; loci; sprouting; vivipary (plants); weather; wheat;     Show all 12 Subjects
Abstract:
... Pre-harvest sprouting (PHS) of wheat (Triticum aestivum L.) is an important phenomenon that results in weather dependent reductions in grain yield and quality across the globe. Due to the large annual losses, breeding PHS resistant varieties is of great importance. Many quantitative trait loci have been associated with PHS and a number of specific genes have been proven to impact PHS. TaPHS1, TaMK ...
DOI:
10.1016/j.plantsci.2019.01.004

6. Editing the Phenotype: A Revolution for Quantitative Genetics

Author:
Birchler, James A.
Source:
Cell 2017 v.171 pp. 269-270
ISSN:
0092-8674
Subject:
quantitative traits,   etc   ; alleles; phenotype;     Show all 3 Subjects
Abstract:
... Quantitative trait genes have been difficult to analyze because of the subtle effects of their natural variation. Rodríguez-Leal et al. now develop a promoter-editing approach to generate a range of effective alleles for analysis, providing an avenue to investigate complex interactions among such genes. ...
DOI:
10.1016/j.cell.2017.09.024

7. Correction to: Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.)

Author:
Khedikar, Yogendra; Pandey, ManishK.; Sujay, V.; Singh, Sube; Nayak, SpurthiN.; Klein-Gebbinck, HenryW.; Sarvamangala, Cholin; Mukri, Ganapati; Garg, Vanika; Upadhyaya, HariD.; Nadaf, H.L.; Gowda, M.V. C.; Varshney, RajeevK.; Bhat, RameshS.
Source:
Molecular breeding 2018 v.38 no.6 pp. 78
ISSN:
1380-3743
Subject:
quantitative trait loci,   etc   ; Arachis hypogaea; epistasis; peanuts;     Show all 4 Subjects
Abstract:
... The published online version of this article unfortunately missed to capture Rajeev K. Varshney as co-corresponding author. There should have been two corresponding authors for this paper (Rajeev K. Varshney and Ramesh S. Bhat). The correct declaration is shown below. ...
DOI:
10.1007/s11032-018-0835-9

8. Correction to: Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example

Author:
Luo, Ziliang; Wang, Meng; Long, Yan; Huang, Yongju; Shi, Lei; Zhang, Chunyu; Liu, Xiang; Fitt, BruceD. L.; Xiang, Jinxia; Mason, AnnalieseS.; Snowdon, RodJ.; Liu, Peifa; Meng, Jinling; Zou, Jun
Source:
Theoretical and applied genetics 2018 v.131 no.2 pp. 497
ISSN:
0040-5752
Subject:
quantitative trait loci,   etc   ; rapeseed; seed yield;     Show all 3 Subjects
Abstract:
... The article “Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example”, written by J. Zou et al, was originally published Online First without open access. ...
DOI:
10.1007/s00122-017-3005-2

9. Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)

Author:
Khahani, Bahman; Tavakol, Elahe; Shariati J., Vahid
Source:
Molecular breeding 2019 v.39 no.4 pp. 56
ISSN:
1380-3743
Subject:
quantitative trait loci; quantitative traits,   etc   ; Hordeum vulgare; barley; breeding programs; chromosomes; confidence interval; genes; grain yield; harvest index; heading; meta-analysis; plant height;     Show all 13 Subjects
Abstract:
... Meta-QTL (MQTL) analysis improves genetic dissection and detection of consistent chromosomal regions associated with economically important quantitative traits such as yield and yield-related traits through integrating QTL data from independent experiments. In order to identify the most reliable and stable QTLs for grain yield, thousand grain weight, plant height, heading date, harvest index, and ...
DOI:
10.1007/s11032-019-0962-y

10. The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement

Author:
Mace, Emma; Innes, David; Hunt, Colleen; Wang, Xuemin; Tao, Yongfu; Baxter, Jared; Hassall, Michael; Hathorn, Adrian; Jordan, David
Source:
Theoretical and applied genetics 2019 v.132 no.3 pp. 751-766
ISSN:
0040-5752
Subject:
quantitative trait loci; quantitative traits,   etc   ; Oryza sativa; Sorghum bicolor; Zea mays; breeding; confidence interval; corn; databases; epistasis; genes; genome assembly; genomics; grain crops; grain sorghum; models; rice;     Show all 17 Subjects
Abstract:
... KEY MESSAGE: We describe the development and application of the Sorghum QTL Atlas, a high-resolution, open-access research platform to facilitate candidate gene identification across three cereal species, sorghum, maize and rice. The mechanisms governing the genetic control of many quantitative traits are only poorly understood and have yet to be fully exploited. Over the last two decades, over a ...
DOI:
10.1007/s00122-018-3212-5

11. Whole-genome sequencing identifies potential candidate genes for reproductive traits in pigs

Author:
Li, Xinjian; Ye, Jianwei; Han, Xuelei; Qiao, Ruimin; Li, Xiuling; Lv, Gang; Wang, Kejun
Source:
Genomics 2019
ISSN:
0888-7543
Subject:
quantitative trait loci; quantitative traits,   etc   ; environmental factors; litter size; major genes; reproductive performance; reproductive traits; sequence analysis; signal transduction; single nucleotide polymorphism; sows; transforming growth factor beta;     Show all 12 Subjects
Abstract:
... Reproductive performance is a complex quantitative trait, that is determined by multiple genes, regulatory pathways and environmental factors. A list of major genes with large effect have been detected, although multiple QTLs are identified. To identify candidate genes for pig prolificacy, whole genome variants from five high- and five low-prolificacy Yorkshire sows were collected using whole-geno ...
DOI:
10.1016/j.ygeno.2019.01.014

12. RNA‐Seq analysis unveils gene regulation of fruit size cooperatively determined by velocity and duration of fruit swelling in peach

Author:
Gu, Chao; Zhou, Yu‐Hang; Shu, Wei‐Sheng; Cheng, Hai‐Yan; Wang, Lu; Han, Yue‐Peng; Zhang, Yu‐Yan; Yu, Ming‐Liang; Joldersma, Dirk; Zhang, Shao‐Ling
Source:
Physiologia plantarum 2018 v.164 no.3 pp. 320-336
ISSN:
0031-9317
Subject:
quantitative trait loci; quantitative traits,   etc   ; cell proliferation; cultivars; fruits; genes; peaches; ripening; sequence analysis;     Show all 9 Subjects
Abstract:
... Fruit swelling determines fruit size and usually occurs in two distinct time periods in peach. However, little is known about the gene regulation of fruit swelling. In this study, measurements of longitudinal and transverse diameters in developing and ripening peach fruits unveiled two periods of fruit swelling: the first swelling ends at approximately 65 days after flower blooming (DAFB) and the ...
DOI:
10.1111/ppl.12736

13. The qSAC3 locus from indica rice effectively increases amylose content under a variety of conditions

Author:
Zhang, Hua; Zhou, Lihui; Xu, Heng; Wang, Liangchao; Liu, Huijie; Zhang, Changquan; Li, Qianfeng; Gu, Minghong; Wang, Cailin; Liu, Qiaoquan; Zhu, Ying
Source:
BMC plant biology 2019 v.19 no.1 pp. 275
ISSN:
1471-2229
Subject:
quantitative trait loci,   etc   ; alleles; amylose; biosynthesis; endosperm; loci; mutants; planting season; rice; substitution lines; temperature;     Show all 11 Subjects
Abstract:
... BACKGROUND: Amylose content (AC) is a critical factor for the quality of rice. It is determined by the biosynthesis gene Waxy (Wx) and a variety of quantitative trait loci (QTLs). Although many QTLs have been reported to affect rice AC, few of them have been investigated under varying growth conditions, especially various temperatures, which are known to greatly influence the AC. RESULTS: We analy ...
DOI:
10.1186/s12870-019-1860-5

14. The genetics of planting density-dependent branching in chrysanthemum

Author:
Sun, Wei; Yang, Xincheng; Su, Jiangshuo; Guan, Zhiyong; Jiang, Jiafu; Chen, Fadi; Fang, Weimin; Zhang, Fei
Source:
Scientia horticulturae 2019 v.256 pp. 108598
ISSN:
0304-4238
Subject:
quantitative trait loci,   etc   ; Chrysanthemum; branches; branching; crossing; cut flowers; epistasis; phenotypic variation; plant density; planting density;     Show all 10 Subjects
Abstract:
... The architecture of chrysanthemum plants raised for cut flowers is strongly influenced by their ability to form branches. The genetic basis of branching was revealed through a quantitative trait locus (QTL) analysis of an F1 population generated by crossing the varieties ‘Nannong Xuefeng’ and ‘Monalisa’ grown under contrasting planting densities. Under the low planting density regime (E1), 12 addi ...
DOI:
10.1016/j.scienta.2019.108598

15. Assessing the impacts of uncertainty in climate‐change vulnerability assessments

Author:
Hossain, Md Anwar; Kujala, Heini; Bland, Lucie M.; Burgman, Mark; Lahoz‐Monfort, José J.
Source:
Diversity & distributions 2019 v.25 no.8 pp. 1234-1245
ISSN:
1366-9516
Subject:
quantitative traits,   etc   ; climate; climate change; climate models; freshwater crayfish; mechanistic models; risk assessment; uncertainty; vulnerable species;     Show all 9 Subjects
Abstract:
... AIM: The trait‐based vulnerability assessment (TVA) uses Boolean rules to assess species sensitivity, adaptive capacity and exposure to climate change to identify those that are climate‐change vulnerable. The protocol is being increasingly used to assess climate‐change impacts to a diversity of taxa, as it requires fewer data compared to niche and mechanistic models. However, uncertainty in TVA re ...
DOI:
10.1111/ddi.12936

16. Fine-Mapping of qTGW1.2a, a Quantitative Trait Locus for 1000-Grain Weight in Rice

Author:
Wenhui, Wang; Linlin, Wang; Yujun, Zhu; Yeyang, Fan; Jieyun, Zhuang
Source:
Rice science 2019 v.26 no.4 pp. 220-228
ISSN:
1672-6308
Subject:
quantitative trait loci,   etc   ; additive effect; chromosomes; genes; grain yield; heterozygosity; homozygosity; isogenic lines; phenotypic variation; rice;     Show all 10 Subjects
Abstract:
... Thousand-grain weight (TGW) is a key component of grain yield in rice. This study was conducted to validate and fine-map qTGW1.2a, a quantitative trait locus for grain weight and grain size previously located in a 933.6-kb region on the long arm of rice chromosome 1. Firstly, three residual heterozygotes (RHs) were selected from a BC2F11 population of the indica rice cross Zhenshan 97 (ZS97)///ZS9 ...
DOI:
10.1016/j.rsci.2019.04.004

17. Correction to: Genome-wide SNP discovery for development of high-density genetic map and QTL mapping of ascochyta blight resistance in chickpea (Cicer arietinum L.)

Author:
Deokar, Amit; Sagi, Mandeep; Tar’an, Bunyamin
Source:
Theoretical and applied genetics 2019 v.132 no.6 pp. 1909
ISSN:
0040-5752
Subject:
quantitative trait loci,   etc   ; Ascochyta; Cicer arietinum; blight; chickpeas; genes; single nucleotide polymorphism;     Show all 7 Subjects
Abstract:
... Unfortunately there was an error in the name of the gene “Ca-AKL18” in the discussion section. ...
DOI:
10.1007/s00122-019-03346-9

18. Rapid evolution with generation overlap: the double-edged effect of dormancy

Author:
Yamamichi, Masato; Hairston, Nelson G., Jr.; Rees, Mark; Ellner, Stephen P.
Source:
Theoretical ecology 2019 v.12 no.2 pp. 179-195
ISSN:
1874-1738
Subject:
quantitative traits,   etc   ; adults; cutting; dormancy; evolutionary adaptation; genetic variation; genotype; life history; models; selection response; variance;     Show all 11 Subjects
Abstract:
... In life histories with generation overlap, selection that acts differently on different life-stages can produce reservoirs of genetic variation, for example, in long-lived iteroparous adults or long-lived dormant propagules. Such reservoirs provide “migration from the past” to the current population, and depending on the trend of environmental change, they have the potential either to slow adaptiv ...
DOI:
10.1007/s12080-019-0414-7

19. Genome‐wide association study of growth traits in Jinghai Yellow chicken hens using SLAF‐seq technology

Author:
Wang, W. H.; Wang, J. Y.; Zhang, T.; Wang, Y.; Zhang, Y.; Han, K.
Source:
Animal genetics 2019 v.50 no.2 pp. 175-176
ISSN:
0268-9146
Subject:
quantitative trait loci,   etc   ; body weight; genes; genome-wide association study; growth traits; hens; single nucleotide polymorphism;     Show all 7 Subjects
Abstract:
... In this study, we performed a new genome‐wide association study using SLAF‐seq technology. A total of 19 single nucleotide polymorphism effects involving nine different SNP markers reached 5% Bonferroni‐corrected genome‐wide significance. In addition, a 5‐Mb region spanning 72.9–77.9 Mb on GGA4, exhibiting many significant SNP effects, was identified. The LDB2 gene in this region had a very strong ...
DOI:
10.1111/age.12346

20. Intervention of molecular breeding in water saving rice production system: aerobic rice

Author:
Meena, Rahul Kumar; Bhusal, Nabin; Kumar, Kuldeep; Jain, Rajinder; Jain, Sunita
Source:
3 Biotech 2019 v.9 no.4 pp. 133
ISSN:
2190-572X
Subject:
quantitative trait loci,   etc   ; DNA shuffling; crop production; direct seeding; irrigation water; rice; soil; water conservation;     Show all 8 Subjects
Abstract:
... The aerobic rice system/methods developed to tackle shortage of water, is a sustainable method to enhance rice productivity. Approximately 50% of irrigation water could be saved using this system in contrast to lowland rice cultivation. The crop can be directly seeded or transplanted in dry soil in this system rather than irrigated system of rice production. Here in this review we had tried to pre ...
DOI:
10.1007/s13205-019-1657-0