Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments
Drought is the primary abiotic stress that limits yield of soybean (<i>Glycine max</i> (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F<sub>4</sub>-derived lines from ‘Hutcheson’ × PI 471938 crosses,...
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oai:doaj.org-article:9f4b6041dc7e4243bf90bdc7c51ff6162021-11-25T16:06:51ZIdentification of Soybean Yield QTL in Irrigated and Rain-Fed Environments10.3390/agronomy111122072073-4395https://doaj.org/article/9f4b6041dc7e4243bf90bdc7c51ff6162021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2207https://doaj.org/toc/2073-4395Drought is the primary abiotic stress that limits yield of soybean (<i>Glycine max</i> (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F<sub>4</sub>-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 (<i>p</i> ≤ 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<sup>−1</sup> 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<sup>−1</sup> 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.Geung-Joo LeeSungwoo LeeTommy E. CarterGrover ShannonH. Roger BoermaMDPI AGarticledroughtmolecular markerquantitative trait locussoybeanyieldAgricultureSENAgronomy, Vol 11, Iss 2207, p 2207 (2021) |
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drought molecular marker quantitative trait locus soybean yield Agriculture S |
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drought molecular marker quantitative trait locus soybean yield Agriculture S Geung-Joo Lee Sungwoo Lee Tommy E. Carter Grover Shannon H. Roger Boerma Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
description |
Drought is the primary abiotic stress that limits yield of soybean (<i>Glycine max</i> (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F<sub>4</sub>-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 (<i>p</i> ≤ 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<sup>−1</sup> 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<sup>−1</sup> 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. |
format |
article |
author |
Geung-Joo Lee Sungwoo Lee Tommy E. Carter Grover Shannon H. Roger Boerma |
author_facet |
Geung-Joo Lee Sungwoo Lee Tommy E. Carter Grover Shannon H. Roger Boerma |
author_sort |
Geung-Joo Lee |
title |
Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
title_short |
Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
title_full |
Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
title_fullStr |
Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
title_full_unstemmed |
Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments |
title_sort |
identification of soybean yield qtl in irrigated and rain-fed environments |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/9f4b6041dc7e4243bf90bdc7c51ff616 |
work_keys_str_mv |
AT geungjoolee identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments AT sungwoolee identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments AT tommyecarter identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments AT grovershannon identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments AT hrogerboerma identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments |
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