Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population

Abstract Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n=6x=90), is an important autopolyploid speci...

Full description

Saved in:
Bibliographic Details
Published inGenetics (Austin) Vol. 215; no. 3; pp. 579 - 595
Main Authors da Silva Pereira, Guilherme, Gemenet, Dorcus C, Mollinari, Marcelo, Olukolu, Bode A, Wood, Joshua C, Diaz, Federico, Mosquera, Veronica, Gruneberg, Wolfgang J, Khan, Awais, Buell, C Robin, Yencho, G Craig, Zeng, Zhao-Bang
Format Journal Article
LanguageEnglish
Published United States Oxford University Press 01.07.2020
Genetics Society of America
Subjects
Breeding
Chromosomes
Developing countries
Gene mapping
Genetics
Genomes
Genotype & phenotype
Genotypes
Genotyping
Investigations
Ipomoea batatas
LDCs
Mapping
Population
Population (statistical)
Quantitative trait loci
variance components
multiple interval mapping
restricted maximum likelihood
polyploid QTL model
yield components
heritability
Online AccessGet full text

Cover

Abstract Abstract Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n=6x=90), is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population (‘Beauregard’ × ‘Tanzania’) with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
AbstractList Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. ( 2 n = 6 x = 90 ) , is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population (‘Beauregard’ × ‘Tanzania’) with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTL poly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
Abstract Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n=6x=90), is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population (‘Beauregard’ × ‘Tanzania’) with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n=6x=90), is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population (‘Beauregard’ × ‘Tanzania’) with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n 6x 90), is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population ('Beauregard' X 'Tanzania') with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. [Formula: see text], is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population ('Beauregard' × 'Tanzania') with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. [Formula: see text], is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population ('Beauregard' × 'Tanzania') with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
In developing countries, the sweetpotato, (L.) Lam. [Formula: see text], is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can fit only a single QTL and are generally hard to interpret. Here, we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato biparental population ('Beauregard' × 'Tanzania') with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly adjusted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every centiMorgan position. Multiple interval mapping was performed using our R package QTLpoly and detected a total of 13 QTL, ranging from none to four QTL per trait, which explained up to 55% of the total variance. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits, and provided a basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions were decomposed into additive allele effects and were used to compute multiple QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.
Author Zeng, Zhao-Bang
Mosquera, Veronica
Olukolu, Bode A
Gemenet, Dorcus C
Diaz, Federico
Gruneberg, Wolfgang J
Yencho, G Craig
Khan, Awais
Wood, Joshua C
Buell, C Robin
da Silva Pereira, Guilherme
Mollinari, Marcelo
Author_xml – sequence: 1
  givenname: Guilherme
  surname: da Silva Pereira
  fullname: da Silva Pereira, Guilherme
  email: gdasilv@ncsu.edu
– sequence: 2
  givenname: Dorcus C
  surname: Gemenet
  fullname: Gemenet, Dorcus C
– sequence: 3
  givenname: Marcelo
  surname: Mollinari
  fullname: Mollinari, Marcelo
– sequence: 4
  givenname: Bode A
  surname: Olukolu
  fullname: Olukolu, Bode A
– sequence: 5
  givenname: Joshua C
  surname: Wood
  fullname: Wood, Joshua C
– sequence: 6
  givenname: Federico
  surname: Diaz
  fullname: Diaz, Federico
– sequence: 7
  givenname: Veronica
  surname: Mosquera
  fullname: Mosquera, Veronica
– sequence: 8
  givenname: Wolfgang J
  surname: Gruneberg
  fullname: Gruneberg, Wolfgang J
– sequence: 9
  givenname: Awais
  surname: Khan
  fullname: Khan, Awais
– sequence: 10
  givenname: C Robin
  surname: Buell
  fullname: Buell, C Robin
– sequence: 11
  givenname: G Craig
  surname: Yencho
  fullname: Yencho, G Craig
– sequence: 12
  givenname: Zhao-Bang
  surname: Zeng
  fullname: Zeng, Zhao-Bang
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32371382$$D View this record in MEDLINE/PubMed
BookMark eNqNkstuEzEYhS1URG88ARKyxIbNBN_mxgIpqnpBSgS0ZW15PP8krhzbjD29vECfm0nSoNIFYmVb_zmfju1ziPacd4DQO0omNOfi0wIcJKPjhDIy4YSTirxCB7QWPGMFp3vP9vvoMMYbQkhR59UbtM8ZLymv2AF6nA82mWAB_7ie4bkKwbgFNg5Ph-SDtw_BetPGz3iKL5Vr_So77TrQCc99CxZPQ-i90kt8Z9JyfbJGq2S8WyMUvoB7tQHgqzuAFHxSyeOzwdrsyjT4uw-D3ciP0etO2Qhvn9Yj9PPs9PrkIpt9O_96Mp1lWpQsZW0pdFNp4I0Qui40LSmpgDFRtzm0PNdtQ4um7ZTIqVI1NISocaJyJqAgLOdH6MuWG4ZmBa0Gl3plZejNSvUP0isj_544s5QLfytLzktSkxHw8QnQ-18DxCRXJmqwVjnwQ5SM1zXjvKr4KP3wQnrjh96N15NMsIpSWrBqVL1_nuhPlN0XjYJ6K9C9j7GHTmqTNo82BjRWUiLXdZC7OsixDnJbh9HLX3h3-H-7JluXH8J_GX4D-h7Mgw
CitedBy_id crossref_primary_10_1038_s41437_021_00416_x
crossref_primary_10_3389_fpls_2024_1398081
crossref_primary_10_1093_genetics_iyab124
crossref_primary_10_17660_ActaHortic_2023_1368_43
crossref_primary_10_3389_fhort_2023_1339310
crossref_primary_10_1007_s00122_021_03797_z
crossref_primary_10_3389_fpls_2023_1209445
crossref_primary_10_1007_s12230_024_09954_6
crossref_primary_10_3389_fpls_2022_965397
crossref_primary_10_1534_g3_120_401433
crossref_primary_10_1002_agj2_20431
crossref_primary_10_1186_s12870_021_03265_2
crossref_primary_10_1007_s00122_020_03673_2
crossref_primary_10_1094_PDIS_10_20_2270_RE
crossref_primary_10_3389_fpls_2024_1343632
crossref_primary_10_1038_s41598_025_93415_5
crossref_primary_10_1093_g3journal_jkab056
crossref_primary_10_1016_j_xplc_2022_100332
crossref_primary_10_3389_fpls_2022_851538
crossref_primary_10_1186_s12870_025_06061_4
crossref_primary_10_3390_agronomy13092382
crossref_primary_10_1270_jsbbs_24028
crossref_primary_10_3389_fpls_2022_858747
crossref_primary_10_3390_pathogens9110967
crossref_primary_10_1002_fes3_545
crossref_primary_10_21105_joss_04242
crossref_primary_10_1007_s00122_024_04739_1
crossref_primary_10_3389_fpls_2023_1222596
crossref_primary_10_1093_bioinformatics_btab574
crossref_primary_10_1002_csc2_21450
crossref_primary_10_1016_j_molp_2021_01_003
crossref_primary_10_3389_fpls_2022_916231
crossref_primary_10_1007_s10681_024_03308_3
crossref_primary_10_3389_fsufs_2021_616674
crossref_primary_10_3389_fpls_2020_562171
crossref_primary_10_17660_ActaHortic_2024_1388_12
Cites_doi 10.1007/s10681-012-0678-0
10.1270/jsbbs.16089
10.1016/S2095-3119(13)60357-3
10.1534/genetics.115.185579
10.1038/sj.hdy.6800667
10.1186/s12870-016-0950-x
10.1186/s12864-016-3383-x
10.1093/bioinformatics/bty371
10.1007/s00122-005-0073-5
10.1093/bioinformatics/btg112
10.1534/g3.115.018416
10.1111/nph.15284
10.1073/pnas.84.8.2363
10.1534/g3.119.400620
10.1038/srep44207
10.1017/S0016672399004255
10.1093/pcp/pcf043
10.1111/j.2007.0018-0661.02000.x
10.1007/s00122-017-3048-4
10.1270/jsbbs.65.145
10.1007/s11032-013-9908-y
10.1007/s00122-014-2347-2
10.3389/fpls.2016.01584
10.1186/1471-2105-12-172
10.1007/978-3-319-59819-2_6
10.1038/nrg1711
10.1186/s13059-014-0550-8
10.1093/bioinformatics/btu504
10.1038/nmeth.1923
10.21273/JASHS.122.6.822
10.1186/1471-2148-8-291
10.1016/j.gfs.2017.01.004
10.1007/s00122-019-03437-7
10.3389/fpls.2018.01166
10.1007/s11032-007-9150-6
10.1023/A:1018394410659
10.21273/JASHS.133.6.844
10.1023/A:1022870917230
10.1186/s12859-018-2433-6
10.2135/cropsci2016.08.0695
10.1186/1471-2156
10.1093/jhered/esx022
10.1534/genetics.107.085035
10.1371/journal.pone.0185073
10.1016/j.scienta.2014.03.017
10.1111/1541-0420.00032
10.1093/genetics/137.4.1121
10.21273/HORTSCI.47.7.961
10.1371/journal.pone.0118144
10.1093/genetics/159.4.1819
10.1371/journal.pone.0030906
10.1146/annurev.ge.27.120193.001225
10.1371/journal.pone.0156744
10.1007/s00122-017-2974-5
10.1111/j.1365-313X.1993.00739.x
10.1104/pp.18.00713
10.1007/s10681-018-2331-z
10.1007/s11032-010-9474-5
10.1104/pp.15.00415
10.1101/pdb.top77
10.1007/s00122-016-2761-8
10.1038/s41467-018-06983-8
10.1002/pld3.92
10.1534/genetics.118.301468
10.1534/g3.119.400378
10.1093/genetics/138.3.963
10.1534/genetics.104.031427
10.1186/s12863-014-0112-9
10.1105/tpc.002360
10.1007/s00122-017-2941-1
10.1007/978-3-319-24277-4
10.1093/genetics/152.3.1203
10.1038/nrg2600
10.1007/s00122-016-2845-5
10.1093/genetics/40.2.168
10.1186/s12863-018-0672-1
10.1111/biom.12095
ContentType Journal Article
Copyright Copyright © 2020 da Silva Pereira et al . 2020
Copyright © 2020 da Silva Pereira et al.
Copyright Genetics Society of America Jul 2020
Copyright © 2020 da Silva Pereira 2020
Copyright_xml – notice: Copyright © 2020 da Silva Pereira et al . 2020
– notice: Copyright © 2020 da Silva Pereira et al.
– notice: Copyright Genetics Society of America Jul 2020
– notice: Copyright © 2020 da Silva Pereira 2020
DBID TOX
AAYXX
CITATION
NPM
3V.
4T-
4U-
7QP
7SS
7TK
7TM
7X2
7X7
7XB
88A
88E
88I
8AO
8C1
8FD
8FE
8FH
8FI
8FJ
8FK
8G5
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
GUQSH
HCIFZ
K9-
K9.
LK8
M0K
M0R
M0S
M1P
M2O
M2P
M7N
M7P
MBDVC
P64
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
Q9U
RC3
7X8
5PM
DOI 10.1534/genetics.120.303080
DatabaseName Oxford Journals Open Access Collection
CrossRef
PubMed
ProQuest Central (Corporate)
Docstoc
University Readers
Calcium & Calcified Tissue Abstracts
Entomology Abstracts (Full archive)
Neurosciences Abstracts
Nucleic Acids Abstracts
Agricultural Science Collection
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Central (Alumni)
ProQuest One Sustainability (subscription)
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central Korea
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
ProQuest Research Library
SciTech Premium Collection (via ProQuest)
Consumer Health Database (Alumni Edition)
ProQuest Health & Medical Complete (Alumni)
ProQuest Biological Science Collection
Agricultural Science Database
ProQuest Family Health
ProQuest Health & Medical Collection
Medical Database
Research Library
Science Database
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biological Science Database
Research Library (Corporate)
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central Basic
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
PubMed
Agricultural Science Database
Research Library Prep
ProQuest Central Student
ProQuest Central Essentials
Nucleic Acids Abstracts
SciTech Premium Collection
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Family Health
ProQuest One Academic Eastern Edition
Agricultural Science Collection
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
Entomology Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Docstoc
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
University Readers
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
Research Library (Alumni Edition)
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Family Health (Alumni Edition)
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Algology Mycology and Protozoology Abstracts (Microbiology C)
Agricultural & Environmental Science Collection
ProQuest Research Library
ProQuest Public Health
ProQuest Central Basic
ProQuest Science Journals
ProQuest SciTech Collection
ProQuest Medical Library
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList

CrossRef
Agricultural Science Database
MEDLINE - Academic
PubMed
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: TOX
  name: OUP_牛津大学出版社OA刊
  url: https://academic.oup.com/journals/
  sourceTypes: Publisher
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1943-2631
EndPage 595
ExternalDocumentID PMC7337090
32371382
10_1534_genetics_120_303080
10.1534/genetics.120.303080
Genre Research Support, Non-U.S. Gov't
Journal Article
GrantInformation_xml – fundername: Bill & Melinda Gates Foundation
  grantid: OPP1052983
  funderid: 10.13039/100000865
– fundername: CGIAR Fund Donors
– fundername: ;
  grantid: OPP1052983
GroupedDBID ---
--Z
-DZ
-~X
.-4
.55
.GJ
0R~
186
18M
29H
2KS
2WC
34G
36B
39C
53G
5GY
5RE
5VS
5WD
7X2
7X7
85S
88E
88I
8AO
8C1
8FE
8FH
8FI
8FJ
8G5
8R4
8R5
9M8
A8Z
AABZA
AACZT
AAPXW
AARHZ
AAUAY
AAUTI
AAVAP
AAYOK
ABDFA
ABDNZ
ABEJV
ABGNP
ABJNI
ABMNT
ABNHQ
ABPPZ
ABPTD
ABTAH
ABUWG
ABVGC
ABXVV
ABXZS
ACFRR
ACGOD
ACIHN
ACIPB
ACNCT
ACPRK
ACPVT
ACUTJ
ACVCV
ACYGS
ADBBV
ADGKP
ADIPN
ADQBN
ADVEK
AEAQA
AENEX
AEUYN
AFFDN
AFFNX
AFFZL
AFGWE
AFKRA
AFRAH
AGMDO
AHMBA
AHMMS
AJEEA
AJNCP
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ALXQX
AOIJS
APEBS
APJGH
ATCPS
ATGXG
AZQEC
BAWUL
BBNVY
BCRHZ
BENPR
BES
BEYMZ
BHPHI
BKNYI
BKOMP
BPHCQ
BTFSW
BVXVI
C1A
CCPQU
CJ0
CS3
D0L
DIK
DU5
DWQXO
E3Z
EBD
EBS
EJD
EMB
EMOBN
F5P
F8P
F9R
FD6
FLUFQ
FOEOM
FRP
FYUFA
GNUQQ
GUQSH
GX1
H13
HCIFZ
HMCUK
HYE
H~9
INIJC
JXSIZ
K9-
KBUDW
KOP
KQ8
KSI
KSN
L7B
LK8
M0K
M0R
M1P
M2O
M2P
M7P
MV1
MVM
NHB
NOMLY
OBOKY
OCZFY
OHT
OJZSN
OK1
OMK
OPAEJ
OWPYF
PHGZT
PQQKQ
PROAC
PSQYO
Q2X
QF4
QM4
QM9
QN7
QO4
R0Z
RHI
ROX
RXW
SJN
SV3
TAE
TGS
TH9
TN5
TOX
TR2
TWZ
U5U
UHB
UKHRP
UKR
UNMZH
UPT
W8F
WH7
WHG
WOQ
X7M
XOL
XSW
YHG
YKV
YSK
YYP
YYQ
YZZ
ZCA
ZGI
ZXP
ZY4
~KM
AAYXX
AGORE
CITATION
PHGZM
NPM
3V.
4T-
4U-
7QP
7SS
7TK
7TM
7XB
88A
8FD
8FK
FR3
K9.
M7N
MBDVC
P64
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
Q9U
RC3
7X8
5PM
ID FETCH-LOGICAL-c472t-d74cb8ce3b44c96c17108e2249d5ed35cdb16bdfa451aa9eb00ad5ea524e60253
IEDL.DBID 7X7
ISSN 1943-2631
0016-6731
IngestDate Thu Aug 21 13:27:52 EDT 2025
Thu Jul 10 23:50:23 EDT 2025
Fri Jul 25 19:11:56 EDT 2025
Thu Apr 03 07:07:07 EDT 2025
Tue Jul 01 01:55:42 EDT 2025
Thu Apr 24 23:08:17 EDT 2025
Wed Apr 02 07:03:58 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords variance components
multiple interval mapping
restricted maximum likelihood
polyploid QTL model
yield components
heritability
Language English
License This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
https://creativecommons.org/licenses/by/4.0
Copyright © 2020 da Silva Pereira et al.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Available freely online through the author-supported open access option.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c472t-d74cb8ce3b44c96c17108e2249d5ed35cdb16bdfa451aa9eb00ad5ea524e60253
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
These authors contributed equally to this work.
ORCID 0000-0001-6583-0628
0000-0002-7001-8498
0000-0003-4143-8909
0000-0002-7106-8630
0000-0003-4901-1694
0000-0002-3115-1149
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC7337090
PMID 32371382
PQID 2428111628
PQPubID 47453
PageCount 17
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_7337090
proquest_miscellaneous_2399233883
proquest_journals_2428111628
pubmed_primary_32371382
crossref_citationtrail_10_1534_genetics_120_303080
crossref_primary_10_1534_genetics_120_303080
oup_primary_10_1534_genetics_120_303080
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-07-01
PublicationDateYYYYMMDD 2020-07-01
PublicationDate_xml – month: 07
  year: 2020
  text: 2020-07-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: Bethesda
PublicationTitle Genetics (Austin)
PublicationTitleAlternate Genetics
PublicationYear 2020
Publisher Oxford University Press
Genetics Society of America
Publisher_xml – name: Oxford University Press
– name: Genetics Society of America
References Zhao (2024011906291298600_bib80) 2013; 32
Cervantes-Flores (2024011906291298600_bib7) 2011; 28
Balsalobre (2024011906291298600_bib2) 2017; 18
Yada (2024011906291298600_bib76) 2017; 57
Monden (2024011906291298600_bib49) 2015; 65
Almasy (2024011906291298600_bib1) 2010; 2010
Gerard (2024011906291298600_bib21) 2018; 210
Yada (2024011906291298600_bib77) 2017; 67
Mengist (2024011906291298600_bib46) 2018; 131
Schumann (2024011906291298600_bib58) 2017; 130
Mayer (2024011906291298600_bib45) 2005; 94
Hackett (2024011906291298600_bib24) 2014; 127
Qu (2024011906291298600_bib55) 2013; 69
Kempthorne (2024011906291298600_bib29) 1955; 40
Kriegner (2024011906291298600_bib34) 2003; 11
Voorrips (2024011906291298600_bib70) 2011; 12
Langmead (2024011906291298600_bib36) 2012; 9
Zeng (2024011906291298600_bib79) 1999; 74
Sedbrook (2024011906291298600_bib59) 2002; 14
Broman (2024011906291298600_bib4) 2003; 19
Tanksley (2024011906291298600_bib64) 1993; 27
Nakayama (2024011906291298600_bib51) 2012; 188
R Core Team (2024011906291298600_bib56) 2019
Bourke (2024011906291298600_bib3) 2018; 34
Villordon (2024011906291298600_bib69) 2012; 47
Khan (2024011906291298600_bib30) 2016; 7
Cervantes-Flores (2024011906291298600_bib5) 2008; 21
Zou (2024011906291298600_bib82) 2004; 168
Mollinari (2024011906291298600_bib48) 2020
Pereira (2024011906291298600_bib52) 2018; 19
Ponniah (2024011906291298600_bib53) 2017; 17
Chen (2024011906291298600_bib9) 2018; 220
Da Costa E Silva (2024011906291298600_bib15) 2012; 13
Yu (2024011906291298600_bib78) 2014; 13
Wu (2024011906291298600_bib74) 2015; 10
Laurie (2024011906291298600_bib38) 2014; 15
Wickham (2024011906291298600_bib73) 2016
Hackett (2024011906291298600_bib25) 2016; 108
Verbeke (2024011906291298600_bib68) 2003; 59
Zheng (2024011906291298600_bib81) 2016; 203
Mwanga (2024011906291298600_bib50) 2017
Druet (2024011906291298600_bib17) 2008; 178
Schmitz Carley (2024011906291298600_bib57) 2017; 130
Covarrubias-Pazaran (2024011906291298600_bib12) 2016; 11
2024011906291298600_bib18
Wang (2024011906291298600_bib72) 2018; 178
Jiang (2024011906291298600_bib27) 1997; 101
Lippert (2024011906291298600_bib40) 2014; 30
Lau (2024011906291298600_bib37) 2018; 2
Wu (2024011906291298600_bib75) 2018; 9
Comai (2024011906291298600_bib11) 2005; 6
Kao (2024011906291298600_bib28) 1999; 152
Hulse-Kemp (2024011906291298600_bib26) 2015
Shirasawa (2024011906291298600_bib61) 2017; 7
Love (2024011906291298600_bib41) 2014; 15
Chang (2024011906291298600_bib8) 2009; 50
Deveaux (2024011906291298600_bib16) 2008; 8
Margarido (2024011906291298600_bib43) 2007; 144
Lander (2024011906291298600_bib35) 1987; 84
Preedy (2024011906291298600_bib54) 2016; 129
Crepieux (2024011906291298600_bib13) 2005; 111
Kim (2024011906291298600_bib32) 2017; 12
2024011906291298600_bib14
Gallais (2024011906291298600_bib19) 2003
Grattapaglia (2024011906291298600_bib22) 1994; 1137
Gemenet (2024011906291298600_bib20) 2020; 133
Li (2024011906291298600_bib39) 2014; 170
Serang (2024011906291298600_bib60) 2012; 7
Wadl (2024011906291298600_bib71) 2018; 9
Low (2024011906291298600_bib42) 2017; 14
Stam (2024011906291298600_bib62) 1993; 3
Street (2024011906291298600_bib63) 2015; 169
Hackett (2024011906291298600_bib23) 2001; 159
Van de Peer (2024011906291298600_bib66) 2009; 10
Massa (2024011906291298600_bib44) 2018; 19
Cervantes-Flores (2024011906291298600_bib6) 2008; 133
Ukoskit (2024011906291298600_bib65) 1997; 122
Mollinari (2024011906291298600_bib47) 2019
van Geest (2024011906291298600_bib67) 2017; 130
Klaassen (2024011906291298600_bib33) 2019; 215
Churchill (2024011906291298600_bib10) 1994; 138
Kim (2024011906291298600_bib31) 2002; 43
References_xml – volume: 188
  start-page: 175
  year: 2012
  ident: 2024011906291298600_bib51
  article-title: Development of AFLP-derived SCAR markers associated with resistance to two races of southern root-knot nematode in sweetpotato.
  publication-title: Euphytica
  doi: 10.1007/s10681-012-0678-0
– volume: 67
  start-page: 140
  year: 2017
  ident: 2024011906291298600_bib77
  article-title: Genetic analysis and association of simple sequence repeat markers with storage root yield, dry matter, starch and β-carotene content in sweetpotato.
  publication-title: Breed. Sci.
  doi: 10.1270/jsbbs.16089
– volume: 13
  start-page: 310
  year: 2014
  ident: 2024011906291298600_bib78
  article-title: Identification of QTLs for starch content in sweetpotato (Ipomoea batatas (L.) Lam.).
  publication-title: J. Integr. Agric.
  doi: 10.1016/S2095-3119(13)60357-3
– volume: 203
  start-page: 119
  year: 2016
  ident: 2024011906291298600_bib81
  article-title: Probabilistic multilocus haplotype reconstruction in outcrossing tetraploids.
  publication-title: Genetics
  doi: 10.1534/genetics.115.185579
– volume: 94
  start-page: 599
  year: 2005
  ident: 2024011906291298600_bib45
  article-title: A comparison of regression interval mapping and multiple interval mapping for linked QTL.
  publication-title: Heredity
  doi: 10.1038/sj.hdy.6800667
– volume: 17
  start-page: 9
  year: 2017
  ident: 2024011906291298600_bib53
  article-title: Comparative analysis of the root transcriptomes of cultivated sweetpotato (Ipomoea batatas [L.] Lam) and its wild ancestor (Ipomoea trifida [Kunth] G. Don).
  publication-title: BMC Plant Biol.
  doi: 10.1186/s12870-016-0950-x
– volume: 18
  start-page: 72
  year: 2017
  ident: 2024011906291298600_bib2
  article-title: GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane.
  publication-title: BMC Genomics
  doi: 10.1186/s12864-016-3383-x
– volume: 34
  start-page: 3496
  year: 2018
  ident: 2024011906291298600_bib3
  article-title: polymapR - linkage analysis and genetic map construction from F1 populations of outcrossing polyploids.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bty371
– volume: 111
  start-page: 1409
  year: 2005
  ident: 2024011906291298600_bib13
  article-title: Application of a new IBD-based QTL mapping method to common wheat breeding population: Analysis of kernel hardness and dough strength.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-005-0073-5
– volume: 19
  start-page: 889
  year: 2003
  ident: 2024011906291298600_bib4
  article-title: R/qtl: QTL mapping in experimental crosses.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btg112
– start-page: 1187
  volume-title: G3 (Bethesda)
  year: 2015
  ident: 2024011906291298600_bib26
  article-title: Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp.
  doi: 10.1534/g3.115.018416
– volume: 220
  start-page: 332
  year: 2018
  ident: 2024011906291298600_bib9
  article-title: Orthogonal contrast based models for quantitative genetic analysis in autotetraploid species.
  publication-title: New Phytol.
  doi: 10.1111/nph.15284
– volume: 84
  start-page: 2363
  year: 1987
  ident: 2024011906291298600_bib35
  article-title: Construction of multilocus genetic linkage maps in humans.
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.84.8.2363
– start-page: 281
  volume-title: G3 (Bethesda)
  year: 2020
  ident: 2024011906291298600_bib48
  article-title: Unraveling the hexaploid sweetpotato inheritance using ultra-dense multilocus mapping.
  doi: 10.1534/g3.119.400620
– volume: 7
  start-page: 44207
  year: 2017
  ident: 2024011906291298600_bib61
  article-title: A high-density SNP genetic map consisting of a complete set of homologous groups in autohexaploid sweetpotato (Ipomoea batatas).
  publication-title: Sci. Rep.
  doi: 10.1038/srep44207
– volume: 74
  start-page: 279
  year: 1999
  ident: 2024011906291298600_bib79
  article-title: Estimating the genetic architecture of quantitative traits.
  publication-title: Genet. Res.
  doi: 10.1017/S0016672399004255
– volume: 43
  start-page: 314
  year: 2002
  ident: 2024011906291298600_bib31
  article-title: Isolation of MADS-box genes from sweet potato (Ipomoea batatas (L.) Lam.) expressed specifically in vegetative tissues.
  publication-title: Plant Cell Physiol.
  doi: 10.1093/pcp/pcf043
– volume: 144
  start-page: 78
  year: 2007
  ident: 2024011906291298600_bib43
  article-title: OneMap: software for genetic mapping in outcrossing species.
  publication-title: Hereditas
  doi: 10.1111/j.2007.0018-0661.02000.x
– volume: 131
  start-page: 929
  year: 2018
  ident: 2024011906291298600_bib46
  article-title: Genetic mapping of quantitative trait loci for tuber-cadmium and zinc concentration in potato reveals associations with maturity and both overlapping and independent components of genetic control.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-017-3048-4
– volume: 65
  start-page: 145
  year: 2015
  ident: 2024011906291298600_bib49
  article-title: Construction of a linkage map based on retrotransposon insertion polymorphisms in sweetpotato via high-throughput sequencing.
  publication-title: Breed. Sci.
  doi: 10.1270/jsbbs.65.145
– volume: 32
  start-page: 807
  year: 2013
  ident: 2024011906291298600_bib80
  article-title: A genetic linkage map based on AFLP and SSR markers and mapping of QTL for dry-matter content in sweetpotato.
  publication-title: Mol. Breed.
  doi: 10.1007/s11032-013-9908-y
– volume: 127
  start-page: 1885
  year: 2014
  ident: 2024011906291298600_bib24
  article-title: QTL mapping in autotetraploids using SNP dosage information.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-014-2347-2
– volume: 7
  start-page: 1584
  year: 2016
  ident: 2024011906291298600_bib30
  article-title: Root system architecture and abiotic stress tolerance: current knowledge in root and tuber crops.
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2016.01584
– volume: 12
  start-page: 172
  year: 2011
  ident: 2024011906291298600_bib70
  article-title: Genotype calling in tetraploid species from bi-allelic marker data using mixture models.
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-12-172
– start-page: 181
  volume-title: Genetic Improvement of Tropical Crops
  year: 2017
  ident: 2024011906291298600_bib50
  article-title: Sweetpotato (Ipomoea batatas L.)
  doi: 10.1007/978-3-319-59819-2_6
– volume: 6
  start-page: 836
  year: 2005
  ident: 2024011906291298600_bib11
  article-title: The advantages and disadvantages of being polyploid.
  publication-title: Nat. Rev. Genet.
  doi: 10.1038/nrg1711
– volume: 15
  start-page: 550
  year: 2014
  ident: 2024011906291298600_bib41
  article-title: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
  publication-title: Genome Biol.
  doi: 10.1186/s13059-014-0550-8
– volume: 30
  start-page: 3206
  year: 2014
  ident: 2024011906291298600_bib40
  article-title: Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu504
– volume: 9
  start-page: 357
  year: 2012
  ident: 2024011906291298600_bib36
  article-title: Fast gapped-read alignment with Bowtie 2.
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.1923
– volume: 122
  start-page: 822
  year: 1997
  ident: 2024011906291298600_bib65
  article-title: Autopolyploidy vs. Allopolyploidy and low-density randomly amplified polymorphic DNA linkage maps of sweetpotato.
  publication-title: J. Am. Soc. Hortic. Sci.
  doi: 10.21273/JASHS.122.6.822
– volume: 8
  start-page: 291
  year: 2008
  ident: 2024011906291298600_bib16
  article-title: Genes of the most conserved WOX clade in plants affect root and flower development in Arabidopsis.
  publication-title: BMC Evol. Biol.
  doi: 10.1186/1471-2148-8-291
– volume: 14
  start-page: 23
  year: 2017
  ident: 2024011906291298600_bib42
  article-title: Tackling vitamin A deficiency with biofortified sweetpotato in sub-Saharan Africa.
  publication-title: Glob. Food Secur.
  doi: 10.1016/j.gfs.2017.01.004
– volume: 133
  start-page: 23
  year: 2020
  ident: 2024011906291298600_bib20
  article-title: Quantitative trait loci and differential gene expression analyses reveal the genetic basis for negatively associated β-carotene and starch content in hexaploid sweetpotato [Ipomoea batatas (L.) Lam.].
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-019-03437-7
– volume: 9
  start-page: 1166
  year: 2018
  ident: 2024011906291298600_bib71
  article-title: Genetic diversity and population structure of the USDA sweetpotato (Ipomoea batatas) germplasm collections using GBSpoly.
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2018.01166
– volume: 21
  start-page: 511
  year: 2008
  ident: 2024011906291298600_bib5
  article-title: Development of a genetic linkage map and identification of homologous linkage groups in sweetpotato using multiple-dose AFLP markers.
  publication-title: Mol. Breed.
  doi: 10.1007/s11032-007-9150-6
– volume: 101
  start-page: 47
  year: 1997
  ident: 2024011906291298600_bib27
  article-title: Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines.
  publication-title: Genetica
  doi: 10.1023/A:1018394410659
– volume: 133
  start-page: 844
  year: 2008
  ident: 2024011906291298600_bib6
  article-title: Detection of quantitative trait loci and inheritance of root-knot nematode resistance in sweetpotato.
  publication-title: Journal of American Horticultural Science
  doi: 10.21273/JASHS.133.6.844
– volume: 11
  start-page: 169
  year: 2003
  ident: 2024011906291298600_bib34
  article-title: A genetic linkage map of sweetpotato [Ipomoea batatas (L.) Lam.] based on AFLP markers.
  publication-title: Mol. Breed.
  doi: 10.1023/A:1022870917230
– volume: 19
  start-page: 398
  year: 2018
  ident: 2024011906291298600_bib52
  article-title: A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids.
  publication-title: BMC Bioinformatics
  doi: 10.1186/s12859-018-2433-6
– volume: 57
  start-page: 1421
  year: 2017
  ident: 2024011906291298600_bib76
  article-title: Selection of simple sequence repeat markers associated with inheritance of sweetpotato virus disease resistance in sweetpotato.
  publication-title: Crop Sci.
  doi: 10.2135/cropsci2016.08.0695
– volume: 13
  start-page: 67
  year: 2012
  ident: 2024011906291298600_bib15
  article-title: Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses.
  publication-title: BMC Genet.
  doi: 10.1186/1471-2156
– volume: 108
  start-page: 438
  year: 2016
  ident: 2024011906291298600_bib25
  article-title: TetraploidSNPMap: software for linkage analysis and QTL mapping in autotetraploid populations using SNP dosage data.
  publication-title: J. Hered.
  doi: 10.1093/jhered/esx022
– volume: 178
  start-page: 2227
  year: 2008
  ident: 2024011906291298600_bib17
  article-title: Fine mapping of quantitative trait loci affecting female fertility in dairy cattle on BTA03 using a dense single-nucleotide polymorphism map.
  publication-title: Genetics
  doi: 10.1534/genetics.107.085035
– volume: 12
  year: 2017
  ident: 2024011906291298600_bib32
  article-title: Construction of a genetic map using EST-SSR markers and QTL analysis of major agronomic characters in hexaploid sweet potato (Ipomoea batatas (L.) Lam).
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0185073
– year: 2019
  ident: 2024011906291298600_bib56
– volume: 170
  start-page: 182
  year: 2014
  ident: 2024011906291298600_bib39
  article-title: Identification of QTLs for storage root yield in sweetpotato.
  publication-title: Sci. Hortic. (Amsterdam)
  doi: 10.1016/j.scienta.2014.03.017
– ident: 2024011906291298600_bib14
– volume: 59
  start-page: 254
  year: 2003
  ident: 2024011906291298600_bib68
  article-title: The use of score tests for inference on variance components.
  publication-title: Biometrics
  doi: 10.1111/1541-0420.00032
– ident: 2024011906291298600_bib18
– volume: 1137
  start-page: 1121
  year: 1994
  ident: 2024011906291298600_bib22
  article-title: Genetic linkage maps of Eucalyptus grandis and Eucalyptus urophylla using a pseudo-testcross: mapping strategy and RAPD markers.
  publication-title: Genetics
  doi: 10.1093/genetics/137.4.1121
– volume: 47
  start-page: 961
  year: 2012
  ident: 2024011906291298600_bib69
  article-title: Characterization of lateral root development at the onset of storage root initiation in ‘Beauregard’ sweetpotato adventitious roots.
  publication-title: HortScience
  doi: 10.21273/HORTSCI.47.7.961
– volume: 10
  year: 2015
  ident: 2024011906291298600_bib74
  article-title: High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 x Beinong6.
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0118144
– volume: 159
  start-page: 1819
  year: 2001
  ident: 2024011906291298600_bib23
  article-title: Interval mapping of quantitative trait loci in autotetraploid species.
  publication-title: Genetics
  doi: 10.1093/genetics/159.4.1819
– volume: 7
  year: 2012
  ident: 2024011906291298600_bib60
  article-title: Efficient exact maximum a posteriori computation for Bayesian SNP genotyping in polyploids.
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0030906
– volume: 27
  start-page: 205
  year: 1993
  ident: 2024011906291298600_bib64
  article-title: Mapping polygenes.
  publication-title: Annu. Rev. Genet.
  doi: 10.1146/annurev.ge.27.120193.001225
– volume: 11
  year: 2016
  ident: 2024011906291298600_bib12
  article-title: Genome-assisted prediction of quantitative traits using the R package sommer.
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0156744
– volume: 130
  start-page: 2527
  year: 2017
  ident: 2024011906291298600_bib67
  article-title: An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-017-2974-5
– volume: 3
  start-page: 739
  year: 1993
  ident: 2024011906291298600_bib62
  article-title: Construction of integrated genetic linkage maps by means of a new computer package: Join Map.
  publication-title: Plant J.
  doi: 10.1111/j.1365-313X.1993.00739.x
– volume: 178
  start-page: 390
  year: 2018
  ident: 2024011906291298600_bib72
  article-title: ANN1 and ANN2 function in post-phloem sugar transport in root tips to affect primary root growth.
  publication-title: Plant Physiol.
  doi: 10.1104/pp.18.00713
– volume: 215
  start-page: 14
  year: 2019
  ident: 2024011906291298600_bib33
  article-title: Multi-allelic QTL analysis of protein content in a bi- parental population of cultivated tetraploid potato.
  publication-title: Euphytica
  doi: 10.1007/s10681-018-2331-z
– volume: 28
  start-page: 201
  year: 2011
  ident: 2024011906291298600_bib7
  article-title: Identification of quantitative trait loci for dry-matter, starch, and β-carotene content in sweetpotato.
  publication-title: Mol. Breed.
  doi: 10.1007/s11032-010-9474-5
– volume: 169
  start-page: 338
  year: 2015
  ident: 2024011906291298600_bib63
  article-title: Ethylene inhibits cell proliferation of the arabidopsis root meristem.
  publication-title: Plant Physiol.
  doi: 10.1104/pp.15.00415
– volume: 2010
  year: 2010
  ident: 2024011906291298600_bib1
  article-title: Variance component methods for analysis of complex phenotypes.
  publication-title: Cold Spring Harb. Protoc.
  doi: 10.1101/pdb.top77
– volume: 129
  start-page: 2117
  year: 2016
  ident: 2024011906291298600_bib54
  article-title: A rapid marker ordering approach for high-density genetic linkage maps in experimental autotetraploid populations using multidimensional scaling.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-016-2761-8
– volume: 50
  start-page: 43
  year: 2009
  ident: 2024011906291298600_bib8
  article-title: Identification of quantitative trait loci associated with yield-related traits in sweet potato (Ipomoea batatas).
  publication-title: Bot. Stud. (Taipei, Taiwan)
– volume: 9
  start-page: 4580
  year: 2018
  ident: 2024011906291298600_bib75
  article-title: Genome sequences of two diploid wild relatives of cultivated sweetpotato reveal targets for genetic improvement.
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-06983-8
– volume: 2
  year: 2018
  ident: 2024011906291298600_bib37
  article-title: Transcriptomic analysis of sweet potato under dehydration stress identifies candidate genes for drought tolerance.
  publication-title: Plant Direct
  doi: 10.1002/pld3.92
– volume: 210
  start-page: 789
  year: 2018
  ident: 2024011906291298600_bib21
  article-title: Genotyping polyploids from messy sequencing data.
  publication-title: Genetics
  doi: 10.1534/genetics.118.301468
– start-page: 3297
  volume-title: G3 (Bethesda)
  year: 2019
  ident: 2024011906291298600_bib47
  article-title: Linkage analysis and haplotype phasing in experimental autopolyploid populations with high ploidy level using hidden markov models.
  doi: 10.1534/g3.119.400378
– volume: 138
  start-page: 963
  year: 1994
  ident: 2024011906291298600_bib10
  article-title: Empirical threshold values for quantitative trait mapping.
  publication-title: Genetics
  doi: 10.1093/genetics/138.3.963
– volume-title: Quantitative genetics and breeding methods in autopolyploids plants
  year: 2003
  ident: 2024011906291298600_bib19
– volume: 168
  start-page: 2307
  year: 2004
  ident: 2024011906291298600_bib82
  article-title: An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait loci.
  publication-title: Genetics
  doi: 10.1534/genetics.104.031427
– volume: 15
  start-page: 112
  year: 2014
  ident: 2024011906291298600_bib38
  article-title: Mapping epistatic quantitative trait loci.
  publication-title: BMC Genet.
  doi: 10.1186/s12863-014-0112-9
– volume: 14
  start-page: 1635
  year: 2002
  ident: 2024011906291298600_bib59
  article-title: The Arabidopsis SKU5 gene encodes an extracellular glycosyl phosphatidylinositol-anchored glycoprotein involved in directional root growth.
  publication-title: Plant Cell
  doi: 10.1105/tpc.002360
– volume: 130
  start-page: 2045
  year: 2017
  ident: 2024011906291298600_bib58
  article-title: Linkage map construction and QTL analysis for internal heat necrosis in autotetraploid potato.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-017-2941-1
– volume-title: ggplot2: elegant graphics for data analysis
  year: 2016
  ident: 2024011906291298600_bib73
  doi: 10.1007/978-3-319-24277-4
– volume: 152
  start-page: 1203
  year: 1999
  ident: 2024011906291298600_bib28
  article-title: Multiple interval mapping for quantitative trait loci.
  publication-title: Genetics
  doi: 10.1093/genetics/152.3.1203
– volume: 10
  start-page: 725
  year: 2009
  ident: 2024011906291298600_bib66
  article-title: The evolutionary significance of ancient genome duplications.
  publication-title: Nat. Rev. Genet.
  doi: 10.1038/nrg2600
– volume: 130
  start-page: 717
  year: 2017
  ident: 2024011906291298600_bib57
  article-title: Automated tetraploid genotype calling by hierarchical clustering.
  publication-title: Theor. Appl. Genet.
  doi: 10.1007/s00122-016-2845-5
– volume: 40
  start-page: 168
  year: 1955
  ident: 2024011906291298600_bib29
  article-title: The correlation between relatives in a simple autotetraploid population.
  publication-title: Genetics
  doi: 10.1093/genetics/40.2.168
– volume: 19
  start-page: 87
  year: 2018
  ident: 2024011906291298600_bib44
  article-title: Linkage analysis and QTL mapping in a tetraploid russet mapping population of potato.
  publication-title: BMC Genet.
  doi: 10.1186/s12863-018-0672-1
– volume: 69
  start-page: 883
  year: 2013
  ident: 2024011906291298600_bib55
  article-title: Linear score tests for variance components in linear mixed models and applications to genetic association studies.
  publication-title: Biometrics
  doi: 10.1111/biom.12095
SSID ssj0006958
Score 2.5125518
Snippet Abstract Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For...
Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance,...
In developing countries, the sweetpotato, (L.) Lam. [Formula: see text], is an important autopolyploid species, both socially and economically. However,...
In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n 6x 90), is an important autopolyploid species, both socially and economically. However,...
In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. [Formula: see text], is an important autopolyploid species, both socially and economically....
SourceID pubmedcentral
proquest
pubmed
crossref
oup
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 579
SubjectTerms Breeding
Chromosomes
Developing countries
Gene mapping
Genetics
Genomes
Genotype & phenotype
Genotypes
Genotyping
Investigations
Ipomoea batatas
LDCs
Mapping
Population
Population (statistical)
Quantitative trait loci
Title Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population
URI https://www.ncbi.nlm.nih.gov/pubmed/32371382
https://www.proquest.com/docview/2428111628
https://www.proquest.com/docview/2399233883
https://pubmed.ncbi.nlm.nih.gov/PMC7337090
Volume 215
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB5BKyQuiDeBUhkJiQuhie3ECRe0VK1WiK1KH9LeIr-2rFQlC5sV9A_wu5lJvGmXQ8UlFz8S5bPHM_b4-wDecqu8zo2LeepFLK1K0Q6aWTybaWOJ8YZ3PLOTo3x8Lr9Ms2nYcFuGtMq1TewMtWss7ZHv4VJS4LzMefFp8SMm1Sg6XQ0SGndhm6jLaFSr6RBwJXmZBUucU4p7GliHMiH3EB26JLj8kHKMW4m0JdlYmTZuu91wOv_NnbyxGB0-hAfBi2SjHvZHcMfXj-Feryt59QT-TEKaIPt29pVNNHEwXLB5zUarlkQRrhaXzdwtP7IRO9G1QzPZkxgzUkbDbgPPOKNNWja6PuKmLjQb-9-664Cd_vK-XTTorzaMYtn4dG7Y8SAJ9hTODw_O9sdxEFyIrVS8jZ2S1hTWCyOlLXObovtReFzkS5d5JzLrTIq4zrTMUq1Lkh3SWKIzLn2OzpN4Blt1U_sXwDi1lYXTQqOPQmetSWEcV1qowphSR8DXP7uygY2cRDEuK4pKEKFqjVCFCFU9QhG8HxotejKO26u_QxT_r-bOGukqzOFldT3iIngzFOPsoyMVXftmhXWI1xej_EJE8LwfGMP7BBeKGB4jUBtDZqhAzN6bJfX8e8fwrYRQSZm8vP2zXsF9TtF_lzy8A1vtz5V_jS5Sa3a7eYDPYj_dhe3PB0fHJ38BXvkTtA
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1JbxMxFH4qRQguiJ2BAkYCcWHajO3ZkBCKClVKkwpoKvU2eAtEqmYCmajkD_Bz-I28N1saDhWXnr2MNW-1_fx9AC-4iZ2KtPV54IQvTRygH9QTfzJR2hDiDa9wZkeH0eBYfjwJTzbgT_sWhsoqW59YOWpbGDoj38FQkqBdRjx5N_vhE2sU3a62FBq1Why45Rlu2eZv99-jfF9yvvdhvDvwG1YB38iYl76NpdGJcUJLadLIBBhjE4eRLLWhsyI0Vge4-ImSYaBUStw6CltUyKWLMEMQOO8VuCoFmia9TN9dlZREadh4_ohK6oMG5SgUcge1gR4lzrcDjvtkAonprUXCtdd155Lcf2s1zwW_vVtws8laWb9Ws9uw4fI7cK3msVzehd-jpiyRfR4P2UgR5sM3Ns1Zf1ESCcNydlpM7fwN67MvKrfolmvQZEZMbDhtg2vO6FCY9VdX6jSFYgP3S1UTsKMz58pZgflxwWjv7B9NNfvUUZDdg-NLEcV92MyL3D0ExmmsTKwSCnMiutvtJdryWIk40TpVHvD2Z2emQT8nEo7TjHZBKKGslVCGEspqCXnwuhs0q8E_Lu7-CqX4fz23Wklnjc-YZysN9-B514zWTlc4KnfFAvsQjrAQSSI8eFArRvc9wUVMiJIexGsq03UgJPH1lnz6vUIUj1GZe2nv0cXLegbXB-PRMBvuHx48hhucTh6qwuUt2Cx_LtwTTM9K_bSyCQZfL9sI_wKqW08S
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Jb9NAFB6VIhAXxI6hwCCBuOAmnrE9YySEopYopU1VaCv1ZmZzG6myA3FU8gf4Ufw63vOWhkPFpedZvLx1Zt58HyFvmBFOxdr6LHDcD40IwA_qzM8ypQ0i3rAKZ3a8H4-Owy8n0cka-dPehcGyytYnVo7aFgb3yHsQSiTYZcxkL2vKIg62h5-mP3xkkMKT1pZOo1aRXbe4gOXb7OPONsj6LWPDz0dbI79hGPBNKFjpWxEaLY3jOgxNEpsA4q10ENUSGznLI2N1AB-SqTAKlEqQZ0dBi4pY6GLIFjjMe4PcFFxItDG5tSwviZOoiQIxltcHDeJRxMMeaAZeUJxtBgzWzAgY01-Jiis37S4lvP_WbV4KhMN75G6TwdJBrXL3yZrLH5BbNafl4iH5PW5KFOnXoz06Voj_cEonOR3MSyRkWEzPi4mdfaAD-k3lFlx0DaBMkZUNpm0wziluENPB8ngdp1B05H6pagJ6eOFcOS0gVy4orqP9w4mmBx0d2SNyfC2ieEzW8yJ3TwllODaUVnEF-RGe8_altkwoEJPWifIIa392ahokdCTkOE9xRQQSSlsJpSChtJaQR953g6Y1EMjV3d-BFP-v50Yr6bTxH7N0qe0eed01g-XjcY7KXTGHPogpzLmU3CNPasXonscZF4gu6RGxojJdB0QVX23JJ2cVurjgXPST_rOrX-sVuQ3ml-7t7O8-J3cYbkJUNcwbZL38OXcvIFMr9cvKJCj5ft02-BclB1NI
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multiple+QTL+Mapping+in+Autopolyploids%3A+A+Random-Effect+Model+Approach+with+Application+in+a+Hexaploid+Sweetpotato+Full-Sib+Population&rft.jtitle=Genetics+%28Austin%29&rft.au=Pereira%2C+Guilherme+da+Silva&rft.au=Gemenet%2C+Dorcus+C&rft.au=Mollmari%2C+Marcelo&rft.au=Olukolu%2C+Bode+A&rft.date=2020-07-01&rft.pub=Genetics+Society+of+America&rft.issn=0016-6731&rft.eissn=1943-2631&rft.volume=215&rft.issue=3&rft.spage=579&rft.epage=595&rft_id=info:doi/10.1534%2Fgenetics.120.303080&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1943-2631&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1943-2631&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1943-2631&client=summon