Effects of breeding history and crop management on the root architecture of wheat
Effects of breeding history and crop management on the root architecture of wheat
复制标题
育种史和作物管理对小麦根系结构的影响
DOI:
10.1101/2020.02.25.964338
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Fradgley N
中科院分区:
文献类型:
--
作者:
Fradgley N
AimsSelection for optimal root system architecture (RSA) is important to ensure genetic gains in the sustainable production of wheat (Triticum aestivumL.). Here we examine the hypothesis that past wheat breeding has led to changes in RSA and that future breeding efforts can focus directly on RSA to improve adaptation to target environments.MethodsWe conducted field trials using diverse wheat varieties, including modern and historic UK varieties and non-UK landraces, tested under contrasting tillage regimes (non-inversion tillage versus conventional ploughing) for two trial years or different seeding rates (standard versus high rate) for one trial year. We used field excavation, washing and measurement of root crowns (‘shovelomics’) to characterise RSA traits, including: numbers of seminal, crown and nodal roots per plant, and crown root growth angle.ResultsWe found differences among genotypes for all root traits. Modern varieties generally had fewer roots per plant than historic varieties. On average, there were fewer crown roots and root angles were wider under shallow non-inversion tillage compared with conventional ploughing. Crown root numbers per plant also tended to be smaller at a high seeding rate compared with the standard. There were significant genotype-by-year, genotype-by-tillage and genotype-by-seeding-rate interactions for many root traits.ConclusionsSmaller root systems are likely to be a result of past selection that facilitated historical yield increases by reducing below-ground competition within the crop. The effects of crop management practices on RSA depend on genotype, suggesting that future breeding could select for improved RSA traits in resource-efficient farming systems.
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影响因子:
3.7
作者:
Habbib H;Verzeaux J;Nivelle E;Roger D;Lacoux J;Catterou M;Hirel B;Dubois F;Tétu T
通讯作者:
Tétu T
DOI:
10.1101/280875
发表时间:
2018
期刊:
bioRxiv
影响因子:
--
作者:
L. York;S. Slack;M. Bennett;M. J. Foulkes
通讯作者:
M. J. Foulkes
影响因子:
1.9
作者:
R. Richards;M. Watt;G. Rebetzke
通讯作者:
G. Rebetzke
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
C. Pittelkow;A. Fischer;M. Moechnig;J. Hill;K. Koffler;R. Mutters;C. Greer;Y. Cho;C. Kessel;B. Linquist
通讯作者:
B. Linquist
影响因子:
4.6
作者:
Mangalassery S;Sjögersten S;Sparkes DL;Sturrock CJ;Craigon J;Mooney SJ
通讯作者:
Mooney SJ