scholarly journals Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2207
Author(s):  
Geung-Joo Lee ◽  
Sung-Woo Lee ◽  
Tommy E. Carter ◽  
Grover Shannon ◽  
Roger Boerma

Drought is the primary abiotic stress that limits yield of soybean (Glycine max (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F4-derived lines from ‘Hutcheson’ × PI 471938 crosses, which were cultivated under rain-fed and irrigated conditions. Seed yield was determined based on a total of nine irrigated and five rain-fed environments over two years. Twenty and twenty-seven SSR markers associated with yield (P ≤ 0.05) were identified in the irrigated and rain-fed environments, respectively. Four markers accounted for 22% of the yield variation in the irrigated environments (IR-YLD) and five markers explained 34% of the yield variation in the rain-fed environments (RF-YLD). Two independent IR-YLD and RF-YLD QTLs on chromosome (Chr) 13 (LG-F) were mapped to the Satt395-Sat_074 interval (4.2 cM) and near Sat_375 (3.0 cM), which explained 8% (LOD = 2.6) and 17% (LOD = 5.5) of the yield variation, respectively. The lines homozygous for the Hutcheson allele at the IR-YLD QTL linked to Sat_074 averaged 100 kg ha−1 higher yield than the lines homozygous for the PI 471938 allele. At two independent RF-YLD QTLs on Chr 13 and Chr 17, the lines homozygous for the PI 471938 alleles were 74 to 101 kg ha−1 higher in yield than the lines homozygous for the Hutcheson alleles. Three of the five significant SSR markers associated with RF-YLD were located in a genomic region known for canopy-wilting QTLs, in which the favorable alleles were inherited from PI 471938. The identification of yield-QTLs under the respective rain-fed and irrigated environments provides knowledge regarding differential responses of yield under different irrigation conditions, which will be helpful in developing high-yielding soybean cultivars.

2005 ◽  
Vol 48 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Hyeun-Kyeung Kim ◽  
Sung-Taeg Kang ◽  
Jun-Hyeun Cho ◽  
Myoung-Gun Choung ◽  
Duck-Yong Suh

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 680 ◽  
Author(s):  
Yan Wang ◽  
Yingpeng Han ◽  
Weili Teng ◽  
Xue Zhao ◽  
Yongguang Li ◽  
...  

2010 ◽  
Vol 122 (3) ◽  
pp. 581-594 ◽  
Author(s):  
Yu Xu ◽  
He-Nan Li ◽  
Guang-Jun Li ◽  
Xia Wang ◽  
Li-Guo Cheng ◽  
...  

Euphytica ◽  
2008 ◽  
Vol 162 (2) ◽  
pp. 155-165 ◽  
Author(s):  
Da-Wei Xin ◽  
Hong-Mei Qiu ◽  
Da-Peng Shan ◽  
Cai-Yun Shan ◽  
Chun-Yan Liu ◽  
...  

2012 ◽  
Vol 4 (11) ◽  
Author(s):  
ASM G. Masum Akond ◽  
Bobby Ragin ◽  
Richard Bazzelle ◽  
Stella K. Kantartzi ◽  
Khalid Meksem ◽  
...  

2017 ◽  
Vol 1 (3) ◽  
pp. 29-38 ◽  
Author(s):  
Kassem My Abdelmajid ◽  
Laura Ramos ◽  
David Hyten ◽  
Jason Bond ◽  
Abdelhafid Bendahmane ◽  
...  

Soybean cyst nematode caused by Heterodera glycines Ichinohe is the most devastating pest in soybean [Glycine max (L.) Merr.]. Resistance to SCN is complex, polygenic, race and cultivar specific, and it is controlled by several quantitative trait loci (QTL). Our objective was to identify and map QTL for SCN resistance to races 3 (HG Type 0) and 5 (HG Type 2.5.7) using a high density SNP-based genetic linkage map based on the PI438489B by ‘Hamilton’ (PIxH, n=50) recombinant inbred line population. The PI438489B by Hamilton map contained 648 SNPs distributed on 31 LGs with coverage of 1,524.7 cM and an average distance of 2.35 cM between two markers (Kassem et al., 2011). Using interval mapping (IM) and composite interval mapping (CIM), eight QTL were identified for SCN resistance to races 3 and 5 on 7 different soybean chromosomes. Four QTL for resistance to SCN race 3 were identified and mapped on chromosomes 7, 13, 15, and 16. Similarly, four QTL for resistance to SCN race 5 were identified and mapped on chromosomes 5, 8, and 11. The QTL identified here will be highly beneficial in breeding programs to develop cultivars with resistance to both SCN races 3 and 5.


Sign in / Sign up

Export Citation Format

Share Document