Evaluation of productivity and stability of elite summer soybean cultivars in multi-environment trials
文献类型: 外文期刊
作者: Qin, Jun 1 ; Xu, Ran 2 ; Li, Haichao 3 ; Yang, Chunyan 1 ; Liu, Duan; Liu, Zhangxiong; Zhang, Lifeng 2 ; Lu, Weiguo 4 ;
作者机构: 1.Hebei Acad Agr & Forestry Sci, North China Key Lab Biol & Genet Improvement Soyb, Natl Soybean Improvement Ctr Shijiazhuang Subctr, Inst Cereal & Oil Crops,Minist Agr, Shijiazhuang 050031, Hebei, Peoples R China
2.Shandong Acad Agr Sci, Crops Inst, Jinan 25010, Peoples R China
3.Henan Acad Agr Sci, Zhengzhou Natl Subctr Soybean Improvement, Key Lab Oil Crops Huanghuaihai Plains, Inst Ind Crops,Minist Agr, Zhengzhou 450002, Henan, Peoples R China
4.Henan Acad Agr Sci, Zhengzhou Natl Subctr Soybean Improvement, Key Lab Oil Crops Hua
关键词: Summer soybean;GGEbiplot (TM);Yield;Adaptability
期刊名称:EUPHYTICA ( 影响因子:1.895; 五年影响因子:2.181 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Spring soybean cultivars produced in moderate climates currently represent almost the entire soybean industry; however, soybean production has the potential to be extended into the summer months in different regions of the world. It is critical to select the correct soybean cultivar for production in a specific environment. The purpose of this study was therefore to evaluate the productivity (yield) and stability of the current summer soybean cultivars in multi-environment trials in the Huang-Huai-Hai region, presently the largest summer soybean-producing region in the world, to determine which cultivars will be most successful for large scale production in this region, as well as those that should be used in future breeding efforts. A total of 94 summer soybean cultivars were grown in the three major soybean production provinces, i.e., Shandong, Henan, and Hebei, over 3 years (2008-2010). The GGEbiplot (TM) software provided a "genotype x genotype-by-environment interaction' function to evaluate the importance of agronomic factors controlling the soybean yield of each cultivar across the nine different environments. Xudou10, Zhonghuang39, Lu93748-1 and Lu99-1 exhibited relatively high average yields. The stability among the high-yielding cultivars was ranked in decreasing order as Xudou10, Zheng99048, Jidou7, Yudou18, and Gaozuoxuan-1. Among all recorded factors, the pod number per plant was the most important factor controlling yield, followed by seed number per plant, effective branch number, and 100-seed weight, which positively affected soybean yield. In contrast, a higher bottom pod height, greater number of nodes on the main stem, and longer growth duration were negatively correlated with yield.
- 相关文献
作者其他论文 更多>>
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者:Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词:Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者:Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词:Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction
-
Assessing Water Source Stability in the Three River Source Region: A Comprehensive 35-Year Analysis
作者:Zhang, Lifeng;Liu, Zhongkuan;Liu, Zhenyu;Schlaepfer, Daniel R.;Chen, Zhiguang;Gu, Song;Lauenroth, William K.
关键词:water balance; groundwater recharge; SOILWAT2; three river source region
-
Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning
作者:Zhou, Longyu;Feng, Puyu;Ma, Yuntao;Han, Dezhi;Yan, Xiaofei;Jia, Hongchang;Sun, Guangyao;Liu, Yaling;Yan, Long;Li, Yinghui;Qiu, Lijuan
关键词:Remote sensing; 3D reconstruction; Point cloud; Multi-task learning; Digital image
-
Genome-wide association analysis study and genomic prediction for resistance to soybean mosaic virus in soybean population
作者:Zhao, Tiantian;Wang, Fengmin;Qi, Jin;Chen, Yuling;Zhao, Tiantian;Wang, Fengmin;Qi, Jin;Chen, Qiang;Zhu, Lijuan;Liu, Luping;Yan, Long;Yang, Chunyan;Qin, Jun
关键词:Soybean; SMV; GWAS; GS
-
Optimizing Row Spacing and Seeding Rate for Yield and Quality of Alfalfa in Saline-Alkali Soils
作者:Shi, Jiaqi;Xie, Nan;Zhang, Lifeng;Pan, Xuan;Liu, Zhongkuan;Liu, Zhenyu;Zhi, Jianfei;Qin, Wenli;Feng, Wei;Shi, Jiaqi;Xie, Nan;Zhang, Lifeng;Pan, Xuan;Liu, Zhongkuan;Liu, Zhenyu;Zhi, Jianfei;Qin, Wenli;Feng, Wei;Wang, Yanling;Sun, Guotong;Yu, Hexing
关键词:alfalfa; row spacing and seeding rate configuration; planting density; chlorophyll fluorescence; nutritional quality; redundancy analysis
-
Landscape of rare-allele variants in cultivated and wild soybean genomes
作者:Liu, Zhi;Shi, Xiaolei;Yang, Qing;Li, Ying;Yang, Chunyan;Zhang, Mengchen;Yan, Long;An, Yong-Qiang Charles;An, Yong-Qiang Charles;Nguyen, Henry T.;Song, Qijian
关键词:



