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您的检索式：作者名="Conghua Wen"
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| 1 | Mapping QTL underlying tuber starch content and plant maturity in tetraploid potato显示文摘Tuber starch content and plant maturity are two important agronomic traits of potato. To investigate the complex genetic basis of these traits in the cultivated potato, as well as the relationship between them, we developed a linkage map in a tetraploid population of 192 clones derived from the cross Longshu 8 × Zaodabai and mapped quantitative trait loci(QTL) for tuber starch content and plant maturity using data collected in three diverse environments over two years. We detected eleven QTL for tuber starch content distributed on seven chromosomes, of which four, on chromosomes I, II, and VIII, were expressed in at least three environments. For plant maturity, we identified six QTL on chromosomes II, IV,V, VII, and XI, one of which, on chromosome V, showed LOD peaks ranging from 45.2 to 62.5 cM and explained 21.6%–26.6% of phenotypic variation was expressed in five of the six environments. Because the reproducible QTL for plant maturity and tuber starch content mapped to different chromosomes and neither overlapping QTL, nor any genetic interaction between QTL were detected, we infer that tuber starch content and plant maturity are controlled by independent genetic loci. This inference supports the prospect of breeding potato for both early maturity and high starch content. | Jianwu Li Yihang Wang Guohong Wen Gaofeng Li Zhang Li Rong Zhang Sheng Ma Jun Zhou Conghua Xie | 2019 | The Crop Journal2019，7，2： | 3 |
| 2 | Heterogeneous epidemic modelling within an enclosed space and corresponding Bayesian estimation显示文摘Since March 11th,2020,COVID-19 has been a global pandemic for more than one years due to a long and infectious incubation period.This paper establishes a heterogeneous epidemic model that divides the incubation period into infectious and non-infectious and employs the Bayesian framework to model the‘Diamond Princess’enclosed space incident.The heterogeneity includes two different identities,two transmission methods,two different-size rooms,and six transmission stages.This model is also applicable to similar mixed structures,including closed schools,hospitals,and communities.As the COVID-19 pandemic continues,our mathematical modeling can provide management insights to the governments and policymakers on how the COVID-19 disease has spread and what prevention strategies still need to be taken. | Conghua Wen Junwei Wei Zheng Feei Ma Mu He Shi Zhao Jiayu Ji Daihai He | 2022 | Infectious Disease Modelling2022，7，2： | 0 |
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