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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Autores principales: Geung-Joo Lee, Sungwoo Lee, Tommy E. Carter, Grover Shannon, H. Roger Boerma
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Publicado: MDPI AG 2021
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic drought
molecular marker
quantitative trait locus
soybean
yield
Agriculture
S
spellingShingle 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
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AT tommyecarter identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments
AT grovershannon identificationofsoybeanyieldqtlinirrigatedandrainfedenvironments
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