Literature DB >> 31790644

An Improved Method for the Identification of Soybean Resistance to Phytophthora sojae Applied to Germplasm Resources from the Huanghuaihai and Dongbei Regions of China.

Jin Yang1, Wenwu Ye1, Xiaomen Wang1, Linrong Ren1, Yan Yao1, Xiaoli Wang1, Yan Wang1, Suomeng Dong1, Xiaobo Zheng1, Yuanchao Wang1.   

Abstract

Phytophthora root and stem rot (PRR) caused by Phytophthora sojae is a destructive disease afflicting soybean. The use of resistant cultivars is the most effective method to combat PRR. PRR resistance was assessed in 223 soybean cultivars from Huanghuaihai and Dongbei, major soybean-producing regions in east central and northeastern China. To evaluate levels of soybean resistance to P. sojae, we used eight representative P. sojae isolates and a modified etiolated hypocotyl-slit inoculation method. The cultivars Wandou21020, Xu9302-A, Kedou10, and Lidi055 showed resistance to all eight isolates; 14 cultivars showed intermediate resistance to all eight P. sojae isolates, and 53 cultivars were resistant to seven isolates. Thirty-three cultivars (15%) were susceptible only to the highly virulent PsJS2 isolate, which is consistent with the reactions of the Chapman differential line that carries Rps3a. The diverse reaction patterns seen in germplasm from different regions (provinces/cities) in this study reflect the variety of PRR-resistant soybean sources in China. Our research indicates that sources of P. sojae resistance are present in the major soybean production areas of China. This study provides useful information for soybean breeding programs.

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Keywords:  Phytophthora sojae; improved method; resistance genes; soybean germplasm resources

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Year:  2019        PMID: 31790644     DOI: 10.1094/PDIS-01-19-0168-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  1 in total

1.  Genome-Wide Association Study of Partial Resistance to P. sojae in Wild Soybeans from Heilongjiang Province, China.

Authors:  Wei Li; Miao Liu; Yong-Cai Lai; Jian-Xin Liu; Chao Fan; Guang Yang; Ling Wang; Wen-Wei Liang; Shu-Feng Di; De-Yue Yu; Ying-Dong Bi
Journal:  Curr Issues Mol Biol       Date:  2022-07-17       Impact factor: 2.976

  1 in total

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