Across year and year-by-year GGE biplot analysis to evaluate soybean performance and stability in multi-environment trials

Breeding companies release new high-yielding soybean genotypes every year. The main trait is grain yield (GY), and the performance need to be evaluated by statistical methods to identify superior genotypes. Biplot analysis are good tools for selecting superior genotypes and to increase efficiency in...

Full description

Saved in:
Bibliographic Details
Published inEuphytica Vol. 215; no. 6; pp. 1 - 12
Main Authors Dalló, Samuel Cristian, Zdziarski, Andrei Daniel, Woyann, Leomar Guilherme, Milioli, Anderson Simionato, Zanella, Rodrigo, Conte, Josiane, Benin, Giovani
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.06.2019
Springer
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Breeding companies release new high-yielding soybean genotypes every year. The main trait is grain yield (GY), and the performance need to be evaluated by statistical methods to identify superior genotypes. Biplot analysis are good tools for selecting superior genotypes and to increase efficiency in selection. This study aimed to: (a) identify genotypes with high GY and stability in edaphoclimatic regions (ECR) in southern of Brazil; (b) compare the year-by-year and across-years analyses to identify ideal genotype (IG) for each ECR; and (c) identify the association between genotypes and locations using the across-year approach. GY data from yield trials performed in the crop seasons of 2013, 2014, and 2015 were used. The analysis of IG was performed for each year independently and across the years. Moreover, environment-genotype relationship analysis was used to identify the association between genotypes and ECR. Genotypes with high GY and widely adapted for each ECR were identify. The across-year analysis was superior to the year-by-year analysis. However, only genotypes evaluated in more than 1 year and in sufficient locations provide accurate information about GY and stability; otherwise, the results should be adopted with caution.
AbstractList Breeding companies release new high-yielding soybean genotypes every year. The main trait is grain yield (GY), and the performance need to be evaluated by statistical methods to identify superior genotypes. Biplot analysis are good tools for selecting superior genotypes and to increase efficiency in selection. This study aimed to: (a) identify genotypes with high GY and stability in edaphoclimatic regions (ECR) in southern of Brazil; (b) compare the year-by-year and across-years analyses to identify ideal genotype (IG) for each ECR; and (c) identify the association between genotypes and locations using the across-year approach. GY data from yield trials performed in the crop seasons of 2013, 2014, and 2015 were used. The analysis of IG was performed for each year independently and across the years. Moreover, environment-genotype relationship analysis was used to identify the association between genotypes and ECR. Genotypes with high GY and widely adapted for each ECR were identify. The across-year analysis was superior to the year-by-year analysis. However, only genotypes evaluated in more than 1 year and in sufficient locations provide accurate information about GY and stability; otherwise, the results should be adopted with caution.
Breeding companies release new high-yielding soybean genotypes every year. The main trait is grain yield (GY), and the performance need to be evaluated by statistical methods to identify superior genotypes. Biplot analysis are good tools for selecting superior genotypes and to increase efficiency in selection. This study aimed to: (a) identify genotypes with high GY and stability in edaphoclimatic regions (ECR) in southern of Brazil; (b) compare the year-by-year and across-years analyses to identify ideal genotype (IG) for each ECR; and (c) identify the association between genotypes and locations using the across-year approach. GY data from yield trials performed in the crop seasons of 2013, 2014, and 2015 were used. The analysis of IG was performed for each year independently and across the years. Moreover, environment-genotype relationship analysis was used to identify the association between genotypes and ECR. Genotypes with high GY and widely adapted for each ECR were identify. The across-year analysis was superior to the year-by-year analysis. However, only genotypes evaluated in more than 1 year and in sufficient locations provide accurate information about GY and stability; otherwise, the results should be adopted with caution.
ArticleNumber 113
Audience Academic
Author Dalló, Samuel Cristian
Conte, Josiane
Woyann, Leomar Guilherme
Milioli, Anderson Simionato
Benin, Giovani
Zanella, Rodrigo
Zdziarski, Andrei Daniel
Author_xml – sequence: 1
  givenname: Samuel Cristian
  surname: Dalló
  fullname: Dalló, Samuel Cristian
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 2
  givenname: Andrei Daniel
  surname: Zdziarski
  fullname: Zdziarski, Andrei Daniel
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 3
  givenname: Leomar Guilherme
  surname: Woyann
  fullname: Woyann, Leomar Guilherme
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 4
  givenname: Anderson Simionato
  surname: Milioli
  fullname: Milioli, Anderson Simionato
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 5
  givenname: Rodrigo
  surname: Zanella
  fullname: Zanella, Rodrigo
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 6
  givenname: Josiane
  surname: Conte
  fullname: Conte, Josiane
  organization: Federal University of Technology – Paraná, Campus Pato Branco
– sequence: 7
  givenname: Giovani
  surname: Benin
  fullname: Benin, Giovani
  email: benin@utfpr.edu.br
  organization: Federal University of Technology – Paraná, Campus Pato Branco
BookMark eNp1kU1vHCEMhlGUStmk_QG9IfVMwscwE46rKN1WitRLckaG9UREM7AFNsr015fsVMqp4mCw38fCfi_JeUwRCfkq-LXgfLgpgve3gnFhmOzULXs7IxuhB8U07_k52XAuOiaV6i_IZSkvnHMzaL4hf7Y-p1LogpApxP3pwtzCTond7p66cJhSbTWYlhIKrYniK0xHqEhLWhxCpAfMY8ozRI-nJqWCC1OoCw2RzsepBobxNeQUZ4yV1hxgKp_Jp7EF_PIvXpGn7_ePdz_Yw6_dz7vtA_NK68q8dEZIP0jsnNhL44XxTgvfoxsQnAYFHYyd7o3WnW4P6XplFCojYNAA6op8W_secvp9xFLtSzrmNk6xUiohTc8701TXq-oZJrQhjqlm8O3scQ6-LXsMLb8dRMcHZTrVALECpwVmHO0hhxnyYgW3757Y1RPbPLHvnti3xsiVKU0bnzF_fOX_0F_tlpKw
CitedBy_id crossref_primary_10_61186_jcb_15_45_219
crossref_primary_10_52547_pgr_7_2_6
crossref_primary_10_1007_s10681_021_02921_w
crossref_primary_10_3390_agronomy11061221
crossref_primary_10_3390_plants12112079
crossref_primary_10_1590_s1678_3921_pab2022_v57_02702
crossref_primary_10_61186_jcb_15_45_234
crossref_primary_10_1016_j_hpj_2023_09_009
crossref_primary_10_1007_s10681_021_02894_w
crossref_primary_10_1016_j_heliyon_2024_e32918
crossref_primary_10_52547_jcb_13_37_119
crossref_primary_10_1093_bioinformatics_btaa981
crossref_primary_10_1007_s10681_022_03075_z
crossref_primary_10_1186_s12870_024_05248_5
crossref_primary_10_1007_s10681_022_02994_1
crossref_primary_10_3390_agronomy11112200
crossref_primary_10_1002_agj2_20707
crossref_primary_10_3390_agronomy11091839
crossref_primary_10_3390_agronomy13102558
crossref_primary_10_52547_jcb_14_41_194
crossref_primary_10_1016_j_sajb_2023_01_033
crossref_primary_10_3390_agronomy13020585
Cites_doi 10.1007/s13593-016-0407-5
10.4141/P05-169
10.2135/cropsci2006.06.0374
10.2135/cropsci2014.03.0203
10.2135/cropsci2015.06.0336
10.1016/j.jcs.2016.12.005
10.2134/agronj2001.9351111x
10.5147/ajbtch.2011.0024
10.2135/cropsci2017.09.0581
10.1590/0034-737X201562040005
10.1002/9781118688571
10.1590/S0100-204X2014001000005
10.2135/cropsci2011.09.0467
ContentType Journal Article
Copyright Springer Nature B.V. 2019
COPYRIGHT 2019 Springer
Euphytica is a copyright of Springer, (2019). All Rights Reserved.
Copyright_xml – notice: Springer Nature B.V. 2019
– notice: COPYRIGHT 2019 Springer
– notice: Euphytica is a copyright of Springer, (2019). All Rights Reserved.
DBID AAYXX
CITATION
3V.
7SN
7SS
7T7
7TM
7X2
7XB
88I
8FD
8FE
8FH
8FK
ABUWG
AFKRA
ATCPS
AZQEC
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
GNUQQ
HCIFZ
M0K
M2P
M7N
P64
PATMY
PQEST
PQQKQ
PQUKI
PRINS
PYCSY
Q9U
RC3
DOI 10.1007/s10681-019-2438-x
DatabaseName CrossRef
ProQuest Central (Corporate)
Ecology Abstracts
Entomology Abstracts (Full archive)
Industrial and Applied Microbiology Abstracts (Microbiology A)
Nucleic Acids Abstracts
Agricultural Science Collection
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Agriculture & Environmental Science Database
ProQuest Central Essentials
AUTh Library subscriptions: ProQuest Central
ProQuest Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central
Engineering Research Database
ProQuest Central Student
SciTech Premium Collection (Proquest) (PQ_SDU_P3)
Agriculture Science Database
ProQuest Science Journals
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biotechnology and BioEngineering Abstracts
Environmental Science Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Environmental Science Collection
ProQuest Central Basic
Genetics Abstracts
DatabaseTitle CrossRef
Agricultural Science Database
ProQuest Central Student
Technology Research Database
ProQuest Central Essentials
Nucleic Acids Abstracts
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
Genetics Abstracts
Natural Science Collection
ProQuest Central Korea
Algology Mycology and Protozoology Abstracts (Microbiology C)
Agricultural & Environmental Science Collection
Industrial and Applied Microbiology Abstracts (Microbiology A)
ProQuest Science Journals (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
Agricultural Science Collection
ProQuest SciTech Collection
Ecology Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Science Collection
Entomology Abstracts
ProQuest One Academic UKI Edition
Environmental Science Database
Engineering Research Database
ProQuest One Academic
ProQuest Central (Alumni)
DatabaseTitleList Agricultural Science Database


Database_xml – sequence: 1
  dbid: BENPR
  name: AUTh Library subscriptions: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
EISSN 1573-5060
EndPage 12
ExternalDocumentID A714073943
10_1007_s10681_019_2438_x
GrantInformation_xml – fundername: Conselho Nacional de Desenvolvimento Científico e Tecnológico
  funderid: http://dx.doi.org/10.13039/501100003593
– fundername: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
  funderid: http://dx.doi.org/10.13039/501100002322
GroupedDBID -4W
-56
-5G
-BR
-EM
-Y2
-~C
.86
.VR
06C
06D
0R~
0VY
186
199
1N0
1SB
2.D
203
28-
29G
29~
2J2
2JN
2JY
2KG
2KM
2LR
2P1
2VQ
2~H
30V
3SX
3V.
4.4
406
408
409
40D
40E
53G
5GY
5QI
5VS
67N
67Z
6NX
78A
7X2
7XC
88I
8FE
8FH
8TC
8UJ
95-
95.
95~
96X
A8Z
AAAVM
AABHQ
AABYN
AAFGU
AAHNG
AAIAL
AAJKR
AANXM
AANZL
AAPBV
AARHV
AARTL
AATNV
AATVU
AAUYE
AAWCG
AAYFA
AAYIU
AAYQN
AAYTO
ABBBX
ABBXA
ABDBF
ABDZT
ABECU
ABELW
ABFGW
ABFTV
ABHLI
ABHQN
ABJNI
ABJOX
ABKAS
ABKCH
ABKTR
ABMNI
ABMQK
ABNWP
ABPLI
ABPTK
ABQBU
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACBMV
ACBRV
ACBXY
ACBYP
ACGFS
ACGOD
ACHSB
ACHXU
ACIGE
ACIPQ
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPRK
ACSNA
ACTTH
ACVWB
ACWMK
ADHHG
ADHIR
ADIMF
ADINQ
ADKNI
ADKPE
ADMDM
ADOAH
ADOXG
ADRFC
ADTPH
ADURQ
ADYFF
ADYPR
ADZKW
AEBTG
AEEQQ
AEFIE
AEFTE
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AENEX
AEOHA
AEPYU
AESKC
AESTI
AETLH
AEVLU
AEVTX
AEXYK
AFEXP
AFGCZ
AFKRA
AFLOW
AFNRJ
AFQWF
AFRAH
AFWTZ
AFZKB
AGAYW
AGDGC
AGGBP
AGGDS
AGJBK
AGMZJ
AGQMX
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHSBF
AHYZX
AIAKS
AIIXL
AILAN
AIMYW
AITGF
AJBLW
AJDOV
AJRNO
AJZVZ
AKMHD
AKQUC
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AMYQR
AOCGG
AOSHJ
ARMRJ
ASPBG
ATCPS
AVWKF
AXYYD
AZFZN
AZQEC
B-.
BA0
BBWZM
BDATZ
BENPR
BGNMA
BHPHI
BPHCQ
CAG
CCPQU
COF
CS3
CSCUP
DDRTE
DL5
DNIVK
DPUIP
DU5
DWQXO
EBD
EBLON
EBS
ECGQY
EIOEI
EJD
EN4
EPAXT
ESBYG
ESTFP
ESX
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
G-Y
G-Z
GGCAI
GGRSB
GJIRD
GNUQQ
GNWQR
GQ6
GQ7
GQ8
GXS
HCIFZ
HF~
HG5
HG6
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I09
IHE
IJ-
IKXTQ
ITM
IWAJR
IXC
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KOV
KOW
KPH
LAK
LLZTM
M0K
M2P
M4Y
MA-
N2Q
NB0
NDZJH
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
OVD
P0-
P19
PATMY
PF0
PQQKQ
PROAC
PT4
PT5
PYCSY
Q2X
QOK
QOR
QOS
R4E
R89
R9I
RHV
RNI
ROL
RPX
RSV
RZC
RZE
RZK
S16
S1Z
S26
S27
S28
S3A
S3B
SAP
SBL
SBY
SCLPG
SDH
SDM
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
SSXJD
STPWE
SZN
T13
T16
TEORI
TSG
TSK
TSV
TUC
U2A
U9L
UG4
UNUBA
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WH7
WJK
WK6
WK8
Y6R
YLTOR
Z45
Z7U
Z7V
Z7W
Z7Y
Z83
Z8O
Z8P
Z8Q
Z8S
Z8W
ZMTXR
ZOVNA
~02
~EX
~KM
AACDK
AAEOY
AAHBH
AAJBT
AAQLM
AASML
AAYXX
ABAKF
ACAOD
ACDTI
ACZOJ
AEFQL
AEMSY
AFBBN
AGQEE
AGRTI
AIGIU
CITATION
H13
IAO
7SN
7SS
7T7
7TM
7XB
8FD
8FK
C1K
FR3
ITC
M7N
P64
PQEST
PQUKI
PRINS
Q9U
RC3
ID FETCH-LOGICAL-c355t-c2b912c72e4b1d29c19cb51c6eb7eab5a3a4af456955453a42b6393e391a75aa3
IEDL.DBID AGYKE
ISSN 0014-2336
IngestDate Wed Sep 25 00:22:33 EDT 2024
Fri Feb 02 03:58:17 EST 2024
Thu Sep 12 17:20:18 EDT 2024
Sat Dec 16 12:03:07 EST 2023
IsPeerReviewed true
IsScholarly true
Issue 6
Keywords (L.) Merrill
Stability
GGE biplot
Genotype × environment interaction
Grain yield
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c355t-c2b912c72e4b1d29c19cb51c6eb7eab5a3a4af456955453a42b6393e391a75aa3
PQID 2231296049
PQPubID 54137
PageCount 12
ParticipantIDs proquest_journals_2231296049
gale_infotracacademiconefile_A714073943
crossref_primary_10_1007_s10681_019_2438_x
springer_journals_10_1007_s10681_019_2438_x
PublicationCentury 2000
PublicationDate 2019-06-01
PublicationDateYYYYMMDD 2019-06-01
PublicationDate_xml – month: 06
  year: 2019
  text: 2019-06-01
  day: 01
PublicationDecade 2010
PublicationPlace Dordrecht
PublicationPlace_xml – name: Dordrecht
PublicationSubtitle International Journal of Plant Breeding
PublicationTitle Euphytica
PublicationTitleAbbrev Euphytica
PublicationYear 2019
Publisher Springer Netherlands
Springer
Springer Nature B.V
Publisher_xml – name: Springer Netherlands
– name: Springer
– name: Springer Nature B.V
References Yan (CR12) 2014
Kaster, Farias (CR4) 2012
Zdziarski, Todeschini, Milioli, Woyann, Madureira, Stoco, Benin (CR18) 2018; 58
Silva, Bornhofen, Todeschini, Milioli, Trevisan, Benin (CR9) 2015; 62
Yan (CR14) 2016; 56
CR7
Ullah, Khalil, Khalil, Khattak (CR10) 2011; 1
Yan, Kang, Ma, Woods, Cornelius (CR17) 2007; 47
Yan, Kang (CR15) 2003
Yan (CR11) 2001; 93
Yan (CR13) 2015; 55
Bhartiya, Aditya, Kumari, Kishore, Purwar, Agrawal, Kant (CR1) 2017; 27
Branquinho, Duarte, Souza, Silva Neto, Pacheco (CR2) 2014; 49
Li, Li, Ling, Hu, Ma, Liu, Li (CR5) 2017; 73
Chen, Wu, Zhang (CR3) 2016; 17
Lopes, Reynolds, Manes, Singh, Crossa, Braun (CR6) 2012; 52
Sánchez-Martín, Rispail, Flores, Emeran, Sillero, Rubiales, Prats (CR8) 2017; 37
Yan, Tinker (CR16) 2006; 86
H Ullah (2438_CR10) 2011; 1
W Yan (2438_CR16) 2006; 86
RG Branquinho (2438_CR2) 2014; 49
M Kaster (2438_CR4) 2012
XP Li (2438_CR5) 2017; 73
X Chen (2438_CR3) 2016; 17
MS Lopes (2438_CR6) 2012; 52
W Yan (2438_CR12) 2014
AD Zdziarski (2438_CR18) 2018; 58
W Yan (2438_CR14) 2016; 56
CL Silva (2438_CR9) 2015; 62
J Sánchez-Martín (2438_CR8) 2017; 37
W Yan (2438_CR15) 2003
W Yan (2438_CR11) 2001; 93
A Bhartiya (2438_CR1) 2017; 27
2438_CR7
W Yan (2438_CR17) 2007; 47
W Yan (2438_CR13) 2015; 55
References_xml – volume: 37
  start-page: 3
  issue: 1
  year: 2017
  ident: CR8
  article-title: Higher rust resistance and similar yield of oat landraces versus cultivars under high temperature and drought
  publication-title: Agron Sustain Dev
  doi: 10.1007/s13593-016-0407-5
  contributor:
    fullname: Prats
– volume: 27
  start-page: 227
  issue: 1
  year: 2017
  end-page: 238
  ident: CR1
  article-title: GGE biplot & AMMI analysis of yield stability in multi-environment trial of soybean [ (L.) Merrill] genotypes under rainfed condition of north western Himalayan hills
  publication-title: J Anim Plant Sci
  contributor:
    fullname: Kant
– volume: 86
  start-page: 623
  issue: 3
  year: 2006
  end-page: 645
  ident: CR16
  article-title: Biplot analysis of multi-environment trial data: principles and applications
  publication-title: Can J Plant Sci
  doi: 10.4141/P05-169
  contributor:
    fullname: Tinker
– year: 2012
  ident: CR4
  publication-title: Regionalização dos testes de valor de cultivo e uso e da indicação de cultivares de soja: terceira aproximação
  contributor:
    fullname: Farias
– volume: 47
  start-page: 643
  issue: 2
  year: 2007
  end-page: 653
  ident: CR17
  article-title: GGE biplot vs. AMMI analysis of genotype-by-environment data
  publication-title: Crop Sci
  doi: 10.2135/cropsci2006.06.0374
  contributor:
    fullname: Cornelius
– volume: 55
  start-page: 113
  issue: 1
  year: 2015
  end-page: 122
  ident: CR13
  article-title: Mega-environment analysis and test location evaluation based on unbalanced multiyear data
  publication-title: Crop Sci
  doi: 10.2135/cropsci2014.03.0203
  contributor:
    fullname: Yan
– volume: 56
  start-page: 2106
  issue: 5
  year: 2016
  end-page: 2118
  ident: CR14
  article-title: Analysis and handling of G × E in a practical breeding program
  publication-title: Crop Sci
  doi: 10.2135/cropsci2015.06.0336
  contributor:
    fullname: Yan
– volume: 73
  start-page: 130
  year: 2017
  end-page: 137
  ident: CR5
  article-title: Effects of genotype and environment on avenanthramides and antioxidant activity of oats grown in northwestern China
  publication-title: J Cereal Sci
  doi: 10.1016/j.jcs.2016.12.005
  contributor:
    fullname: Li
– year: 2003
  ident: CR15
  publication-title: GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists
  contributor:
    fullname: Kang
– volume: 17
  start-page: 577
  issue: 4
  year: 2016
  end-page: 585
  ident: CR3
  article-title: Evaluation of adaptability and stability for important agronomic traits of oat ( spp.) germplasm resources.
  publication-title: J Plant Genet Resour
  contributor:
    fullname: Zhang
– volume: 93
  start-page: 1111
  year: 2001
  end-page: 1118
  ident: CR11
  article-title: GGEbiplot—a windows application for graphical analysis of multi-environment trial data and other types of two-way data
  publication-title: Agron J
  doi: 10.2134/agronj2001.9351111x
  contributor:
    fullname: Yan
– volume: 1
  start-page: 1
  issue: 1
  year: 2011
  end-page: 8
  ident: CR10
  article-title: Performance of mungbean genotypes evaluated in multi-environmental trials using the GGE biplot method
  publication-title: Atlas J Biotechnol
  doi: 10.5147/ajbtch.2011.0024
  contributor:
    fullname: Khattak
– ident: CR7
– volume: 58
  start-page: 1155
  year: 2018
  end-page: 1165
  ident: CR18
  article-title: Key soybean maturity groups to increase grain yield in Brazil
  publication-title: Crop Sci
  doi: 10.2135/cropsci2017.09.0581
  contributor:
    fullname: Benin
– volume: 62
  start-page: 360
  issue: 4
  year: 2015
  end-page: 371
  ident: CR9
  article-title: Seleção de genótipos de trigo para rendimento de grãos e qualidade de panificação em ensaios multiambientes1
  publication-title: Revista Ceres
  doi: 10.1590/0034-737X201562040005
  contributor:
    fullname: Benin
– year: 2014
  ident: CR12
  publication-title: Crop variety trials: data management and analysis
  doi: 10.1002/9781118688571
  contributor:
    fullname: Yan
– volume: 49
  start-page: 783
  issue: 10
  year: 2014
  end-page: 795
  ident: CR2
  article-title: Estratificação ambiental e otimização de rede de ensaios de genótipos de soja no Cerrado
  publication-title: Pesquisa Agropecuária Brasileira
  doi: 10.1590/S0100-204X2014001000005
  contributor:
    fullname: Pacheco
– volume: 52
  start-page: 1123
  issue: 3
  year: 2012
  end-page: 1131
  ident: CR6
  article-title: Genetic yield gains and changes in associated traits of CIMMYT spring bread wheat in a “historic” set representing 30 years of breeding
  publication-title: Crop Sci
  doi: 10.2135/cropsci2011.09.0467
  contributor:
    fullname: Braun
– volume: 1
  start-page: 1
  issue: 1
  year: 2011
  ident: 2438_CR10
  publication-title: Atlas J Biotechnol
  doi: 10.5147/ajbtch.2011.0024
  contributor:
    fullname: H Ullah
– volume: 55
  start-page: 113
  issue: 1
  year: 2015
  ident: 2438_CR13
  publication-title: Crop Sci
  doi: 10.2135/cropsci2014.03.0203
  contributor:
    fullname: W Yan
– volume: 93
  start-page: 1111
  year: 2001
  ident: 2438_CR11
  publication-title: Agron J
  doi: 10.2134/agronj2001.9351111x
  contributor:
    fullname: W Yan
– volume: 52
  start-page: 1123
  issue: 3
  year: 2012
  ident: 2438_CR6
  publication-title: Crop Sci
  doi: 10.2135/cropsci2011.09.0467
  contributor:
    fullname: MS Lopes
– volume: 49
  start-page: 783
  issue: 10
  year: 2014
  ident: 2438_CR2
  publication-title: Pesquisa Agropecuária Brasileira
  doi: 10.1590/S0100-204X2014001000005
  contributor:
    fullname: RG Branquinho
– volume: 37
  start-page: 3
  issue: 1
  year: 2017
  ident: 2438_CR8
  publication-title: Agron Sustain Dev
  doi: 10.1007/s13593-016-0407-5
  contributor:
    fullname: J Sánchez-Martín
– volume-title: Regionalização dos testes de valor de cultivo e uso e da indicação de cultivares de soja: terceira aproximação
  year: 2012
  ident: 2438_CR4
  contributor:
    fullname: M Kaster
– volume-title: Crop variety trials: data management and analysis
  year: 2014
  ident: 2438_CR12
  doi: 10.1002/9781118688571
  contributor:
    fullname: W Yan
– volume-title: GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists
  year: 2003
  ident: 2438_CR15
  contributor:
    fullname: W Yan
– volume: 73
  start-page: 130
  year: 2017
  ident: 2438_CR5
  publication-title: J Cereal Sci
  doi: 10.1016/j.jcs.2016.12.005
  contributor:
    fullname: XP Li
– volume: 86
  start-page: 623
  issue: 3
  year: 2006
  ident: 2438_CR16
  publication-title: Can J Plant Sci
  doi: 10.4141/P05-169
  contributor:
    fullname: W Yan
– volume: 47
  start-page: 643
  issue: 2
  year: 2007
  ident: 2438_CR17
  publication-title: Crop Sci
  doi: 10.2135/cropsci2006.06.0374
  contributor:
    fullname: W Yan
– volume: 17
  start-page: 577
  issue: 4
  year: 2016
  ident: 2438_CR3
  publication-title: J Plant Genet Resour
  contributor:
    fullname: X Chen
– volume: 27
  start-page: 227
  issue: 1
  year: 2017
  ident: 2438_CR1
  publication-title: J Anim Plant Sci
  contributor:
    fullname: A Bhartiya
– ident: 2438_CR7
– volume: 58
  start-page: 1155
  year: 2018
  ident: 2438_CR18
  publication-title: Crop Sci
  doi: 10.2135/cropsci2017.09.0581
  contributor:
    fullname: AD Zdziarski
– volume: 56
  start-page: 2106
  issue: 5
  year: 2016
  ident: 2438_CR14
  publication-title: Crop Sci
  doi: 10.2135/cropsci2015.06.0336
  contributor:
    fullname: W Yan
– volume: 62
  start-page: 360
  issue: 4
  year: 2015
  ident: 2438_CR9
  publication-title: Revista Ceres
  doi: 10.1590/0034-737X201562040005
  contributor:
    fullname: CL Silva
SSID ssj0009750
Score 2.4006808
Snippet Breeding companies release new high-yielding soybean genotypes every year. The main trait is grain yield (GY), and the performance need to be evaluated by...
SourceID proquest
gale
crossref
springer
SourceType Aggregation Database
Publisher
StartPage 1
SubjectTerms Biomedical and Life Sciences
Biotechnology
Breeding
Crop yield
Genotypes
Identification methods
Immunoglobulins
Life Sciences
Plant Genetics and Genomics
Plant Pathology
Plant Physiology
Plant Sciences
Soybean
Soybeans
Stability analysis
Statistical methods
SummonAdditionalLinks – databaseName: AUTh Library subscriptions: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8QwEA4-LnoQn7i-yEEQlLDm0daeZJXVRVBEFLyFJJuKIO26W8H11zuTttQHemsbSCBfkvmamfmGkH2VnkgbY4pybBOmvLPMOM-ZEC7LErAIPpRkub6JBw_q6jF6nCGDJhcGwyqbMzEc1MPC4R15F8wYmKYYCG3XWLwFcGX3dPTKsH4U-lnrYhqzZF5whQ7b-bP-ze1dK8CbRFU6CldMSBk3Hs4qjS4-wZ9q9DXA_n__ZqN-ntS_XKbBEl0sk6WaQtJehfkKmfH5KlnsPY1rGQ2_Rj56oWc6hXVMTT4MD8xOWfhwedmn9nn0UpTQVmmS0LKgtfC3p5Niar3J6ahNKgidAJEMobRT-pzTEInIvuTJ0VAAZLJOHi769-cDVldZYA64RsmcsCkXLhFeWT4UqeOpsxF3sbeJNzYy0iiTAc9KgXlE8CIssBrpZcpNEhkjN8hcXuR-E8OkgC6qGMA3EogJKsFEnieZMFl0bKTvkMNmXvWoEtPQrWwygqABBI0g6PcOOcCZ17jREG5T5wvAUChZpXsoNZjIVMkO2WnA0fUOnOh2vXTIUQNY2_znsFv_d7ZNFgQulHAPs0PmyvGb3wVaUtq9esV9Ak994H8
  priority: 102
  providerName: ProQuest
Title Across year and year-by-year GGE biplot analysis to evaluate soybean performance and stability in multi-environment trials
URI https://link.springer.com/article/10.1007/s10681-019-2438-x
https://www.proquest.com/docview/2231296049/abstract/
Volume 215
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dT9swED-x8rI9wMaGVj4qP0xCArkidpw0jynqhzatQohK7MmyXQdVTGnVBon2r-fsJCsMeOApH47ixHe2f_bd_Q7gR5h0uI5ciHKkYxpao6kyNqCMmSyLcUawPiXL71E0HIc_b8TNFrB_Wxf5Xbu2SPqB-kmsW9RxK19nEMBOirhxW7is1A3YTgd_fvU2VLuxKANPgpAyzqPalvnaS57NRv-PyS-Mo37O6e-WcYBLT1XoXE3u2veFbpv1SyLHd_zOZ9ipIChJS535Als234NP6e2iouGwX2Gd-u8lK-wHROUTf0L1ivobg0GP6On876zAspLThBQzUhGHW7KcrbRVOZlvghL8SxCIelfcFZnmxHsy0idxdsQnEFl-g3G_d30xpFWWBmoQqxTUMJ0EzMTMhjqYsMQEidEiMJHVsVVaKK5ClSFOSxC5CLxgGlERtzwJVCyU4vvQyGe5_e7crBBuhhEqj-IIbByTjLBBnDGViXPFbRNOa2nJeUnGITe0y65BJTaodA0qH5pw4uQpXUctFsqoKt4Aq3KUVzJ1VIUxT0LehKNa5LLqwUuJsAmhUIQLqCac1SLcFL9Z7cG7nj6Ej8zpgN_WOYJGsbi3x4hyCt1Cte53u6NWpd547PZGl1ct-DBm6SN43Pik
link.rule.ids 315,786,790,21416,27957,27958,33779,41116,41558,42185,42627,43840,52146,52269,74659
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1RSxwxEB7auwfrg7RW8fTa5kEQKkE3ye66T3LK6bXVQ0TBt5DksiLI7nm3guevd5LNslpp3zYbSCAzyXzJzHwDsC2yA64Tl6Kc6JQKazRVxkaUMZPnKVoE60uynI-T0bX4fRPfhAe3eQirbM5Ef1BPSuPeyPfQjKFpShDQHk4fqKsa5byroYTGR-gKjleVDnSPhuOLy5Z2N43rJJRIUMZ50vg16-S55MBdpZ2HAXf90xvL9Pf5_M5R6u3PyWdYCcCRDGpJf4EPtliF5cHtLJBn2K_wPPAjkwVqL1HFxH9QvaD-x-npkOi76X1ZYV_NREKqkgS6b0vm5UJbVZBpm0rgB0H46ANoF-SuID7-kL7KjiO-7Md8Da5PhlfHIxpqK1CDCKOihuksYiZlVuhowjITZUbHkUmsTq3SseJKqBzRVYZ4I8YG04hluOVZpNJYKb4OnaIs7IYLjkKQKBIUueIIRxz_S2yjNGcqj_cVtz342ayrnNYUGrIlS3ZCkCgE6YQgn3qw41Zeuu1VzZRRIUsAp3JEVXLgCAZTngneg34jHBn23Vy2WtKD3UZgbfc_p938_2A_YGl0dX4mz36N_2zBJ-aUxr_E9KFTzR7tNwQmlf4etO8FB7ffsg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dSxwxEA9-QNEHqdbS06vmQSi0BLv5dJ_kWu-0X4cUBd9CkssWQXbPuxXu_OudZLNsP6hvuxtIIDOZ-W1m5jcIHfH8hFkZSpSlVYR7Z4lxPiOUuqJQ4BF8bMnyYywvrvnXG3GT8p_mKa2ytYnRUE8qF-7Ij8GNgWuSAGiPi5QWcXk2Op3ek9BBKkRaUzuNVbSuuBSg4eufhuPLnx0FrxJNQUrGCWVMtjHOppBOnoTf6hBtAAuw-MNL_W2r_wmaRl80eom2EojEg0bq22jFlztoc_Brlog0_Cv0OIgz4yVoMjblJD4QuyTxw_n5ENvb6V1Vw1jDSoLrCifqb4_n1dJ6U-JpV1YQJwEoGZNpl_i2xDEXkfxWKYdjC5D5LroeDa8-X5DUZ4E4QBs1cdTmGXWKem6zCc1dljsrMie9Vd5YYZjhpgCklQP2EPBCLeAa5lmeGSWMYa_RWlmV_k1IlALAyCWI3zCAJoELRvhMFdQU4qNhvofet_uqpw2dhu6Ik4MQNAhBByHoRQ-9Czuvw1GrZ8aZVDEASwXSKj0IZIOK5Zz1UL8Vjk5ncK47jemhD63AuuH_Lrv3_GSH6AUonv7-ZfxtH23QoDPxUqaP1urZg38LGKW2B0n5ngCc6uPv
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=Across+year+and+year-by-year+GGE+biplot+analysis+to+evaluate+soybean+performance+and+stability+in+multi-environment+trials&rft.jtitle=Euphytica&rft.au=Dall%C3%B3%2C+Samuel+Cristian&rft.au=Zdziarski%2C+Andrei+Daniel&rft.au=Woyann%2C+Leomar+Guilherme&rft.au=Milioli%2C+Anderson+Simionato&rft.date=2019-06-01&rft.pub=Springer+Netherlands&rft.issn=0014-2336&rft.eissn=1573-5060&rft.volume=215&rft.issue=6&rft_id=info:doi/10.1007%2Fs10681-019-2438-x&rft.externalDocID=10_1007_s10681_019_2438_x
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0014-2336&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0014-2336&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0014-2336&client=summon