Literature DB >> 28042879

Identification of mega-environments in Europe and effect of allelic variation at maturity E loci on adaptation of European soybean.

Alena K Kurasch1, Volker Hahn1, Willmar L Leiser1, Johann Vollmann2, Arnold Schori3, Claude-Alain Bétrix3, Bernhard Mayr4, Johanna Winkler5, Klemens Mechtler6, Jonas Aper7, Aleksandra Sudaric8, Ivan Pejic9, Hrvoje Sarcevic9, Patrice Jeanson10, Christiane Balko11, Marco Signor12, Fabiano Miceli13, Peter Strijk14, Hendrik Rietman15, Eugen Muresanu16, Vuk Djordjevic17, Ana Pospišil18, Giuseppe Barion19, Peter Weigold20, Stefan Streng21, Matthias Krön22, Tobias Würschum1.   

Abstract

Soybean cultivation holds great potential for a sustainable agriculture in Europe, but adaptation remains a central issue. In this large mega-environment (MEV) study, 75 European cultivars from five early maturity groups (MGs 000-II) were evaluated for maturity-related traits at 22 locations in 10 countries across Europe. Clustering of the locations based on phenotypic similarity revealed six MEVs in latitudinal direction and suggested several more. Analysis of maturity identified several groups of cultivars with phenotypic similarity that are optimally adapted to the different growing regions in Europe. We identified several haplotypes for the allelic variants at the E1, E2, E3 and E4 genes, with each E haplotype comprising cultivars from different MGs. Cultivars with the same E haplotype can exhibit different flowering and maturity characteristics, suggesting that the genetic control of these traits is more complex and that adaptation involves additional genetic pathways, for example temperature requirement. Taken together, our study allowed the first unified assessment of soybean-growing regions in Europe and illustrates the strong effect of photoperiod on soybean adaptation and MEV classification, as well as the effects of the E maturity loci for soybean adaptation in Europe.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  Europe; adaptation; breeding; maturity genes; mega-environments; soybean

Mesh:

Year:  2017        PMID: 28042879     DOI: 10.1111/pce.12896

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  11 in total

1.  Allelic Variation and Distribution of the Major Maturity Genes in Different Soybean Collections.

Authors:  Jegor Miladinović; Marina Ćeran; Vuk Đorđević; Svetlana Balešević-Tubić; Kristina Petrović; Vojin Đukić; Dragana Miladinović
Journal:  Front Plant Sci       Date:  2018-09-04       Impact factor: 5.753

2.  The soybean experiment '1000 Gardens': a case study of citizen science for research, education, and beyond.

Authors:  Tobias Würschum; Willmar L Leiser; Felix Jähne; Kristina Bachteler; Martin Miersch; Volker Hahn
Journal:  Theor Appl Genet       Date:  2018-07-03       Impact factor: 5.699

3.  Positional Cloning of the Flowering Time QTL qFT12-1 Reveals the Link Between the Clock Related PRR Homolog With Photoperiodic Response in Soybeans.

Authors:  Yuqiu Li; Yingshan Dong; Hongyan Wu; Bo Hu; Hong Zhai; Jiayin Yang; Zhengjun Xia
Journal:  Front Plant Sci       Date:  2019-10-15       Impact factor: 5.753

4.  Characterization and quantitative trait locus mapping of late-flowering from a Thai soybean cultivar introduced into a photoperiod-insensitive genetic background.

Authors:  Fei Sun; Meilan Xu; Cheolwoo Park; Maria Stefanie Dwiyanti; Atsushi J Nagano; Jianghui Zhu; Satoshi Watanabe; Fanjiang Kong; Baohui Liu; Tetsuya Yamada; Jun Abe
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

5.  Symbiosis of soybean with nitrogen fixing bacteria affected by root lesion nematodes in a density-dependent manner.

Authors:  Ahmed Elhady; Johannes Hallmann; Holger Heuer
Journal:  Sci Rep       Date:  2020-01-31       Impact factor: 4.379

6.  A Genome-Wide Genetic Diversity Scan Reveals Multiple Signatures of Selection in a European Soybean Collection Compared to Chinese Collections of Wild and Cultivated Soybean Accessions.

Authors:  Aamir Saleem; Hilde Muylle; Jonas Aper; Tom Ruttink; Jiao Wang; Deyue Yu; Isabel Roldán-Ruiz
Journal:  Front Plant Sci       Date:  2021-02-26       Impact factor: 5.753

7.  Identification of environment types and adaptation zones with self-organizing maps; applications to sunflower multi-environment data in Europe.

Authors:  Daniela Bustos-Korts; Martin P Boer; Jamie Layton; Anke Gehringer; Tom Tang; Ron Wehrens; Charlie Messina; Abelardo J de la Vega; Fred A van Eeuwijk
Journal:  Theor Appl Genet       Date:  2022-05-07       Impact factor: 5.574

8.  Transcriptome and association mapping revealed functional genes respond to drought stress in Populus.

Authors:  Fangyuan Song; Jiaxuan Zhou; Mingyang Quan; Liang Xiao; Wenjie Lu; Shitong Qin; Yuanyuan Fang; Dan Wang; Peng Li; Qingzhang Du; Yousry A El-Kassaby; Deqiang Zhang
Journal:  Front Plant Sci       Date:  2022-07-29       Impact factor: 6.627

9.  Combining Simple Phenotyping and Photothermal Algorithm for the Prediction of Soybean Phenology: Application to a Range of Common Cultivars Grown in Europe.

Authors:  Céline Schoving; Claudio Osvaldo Stöckle; Céline Colombet; Luc Champolivier; Philippe Debaeke; Pierre Maury
Journal:  Front Plant Sci       Date:  2020-01-29       Impact factor: 5.753

Review 10.  Circadian Clock Components Offer Targets for Crop Domestication and Improvement.

Authors:  C Robertson McClung
Journal:  Genes (Basel)       Date:  2021-03-06       Impact factor: 4.096

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.