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Soybean (Glycine max (L.) Merr.) meets a large portion of its nitrogen (N) need via biological N2 fixation, which is highly sensitive to drought stress. Nitrogen isotope ratios between 15N and 14N (δ15N) can be used as a metric for relative differences among soybean genotypes for N2 fixation, as δ15N is negatively associated with N2 fixation. This study aimed to dissect the genetic basis of δ15N using a mapping population of 196 F6-derived recombinant inbred lines developed from a cross between PI 416997 and PI 567201D that was evaluated in multiple environments. There was a wide range of δ15N in all environments and narrow-sense heritability for δ15N was 35% when estimated across environments. Analysis of variance of δ15N showed significant effects of genotype and environment, whereas the genotype × environment interaction was not significant (P < 0.05). Inclusive composite interval mapping for individual environments identified 10 additive QTLs on seven chromosomes with additive effects ranging from 0.02 to 0.13‰ and that individually explained phenotypic variations from 1.72 to 9.34%. In total, eight QTL × environment interactions were found, and several genomic regions were involved in QTL × QTL interactions that were not identified as additive QTLs. These identified QTLs were co-localized with genomic regions associated with N2 fixation and other physiological traits identified in previous studies. A search for candidate genes resulted in detection of genes for nodulation and N-metabolism underlying many additive and epistatic QTLs. These identified regions may serve as potential targets for enhancing N2 fixation in soybean. [ABSTRACT FROM AUTHOR]

A consistent risk for soybean (Glycine max L.) production is the impact of drought on growth and yield. Canopy temperature (CT) is an indirect measure of transpiration rate and stomatal conductance and may be valuable in distinguishing differences among genotypes in response to drought. The objective of this study was to map quantitative trait loci (QTLs) associated with CT using thermal infrared imaging in a population of recombinant inbred lines developed from a cross between KS4895 and Jackson. Heritability of CT was 35% when estimated across environments. QTL analysis identified 11 loci for CT distributed on eight chromosomes that individually explained between 4.6 and 12.3% of the phenotypic variation. The locus on Gm11 was identified in two individual environments and across environments and explained the highest proportion of phenotypic variation (9.3% to 11.5%) in CT. Several of these CT loci coincided with the genomic regions from previous studies associated with canopy wilting, canopy temperature, water use efficiency, and other morpho-physiological traits related with drought tolerance. Candidate genes with biological function related to transpiration, root development, and signal transduction underlie these putative CT loci. These genomic regions may be important resources in soybean breeding programs to improve tolerance to drought. [ABSTRACT FROM AUTHOR]

Insufficient moisture availability often limits soybean [Glycine max (L.) Merr.] yield. Carbon isotope ratio (δ13C) provides an integrated measure of water use efficiency in C3 plants due to its substantial genetic variance, high heritability, and small genotype × environment interaction (G × E). The objective of this study was to identify quantitative trait loci (QTLs) associated with δ13C using a recombinant inbred line population derived from a cross between 'KS4895' and 'Jackson'. The field experiment was conducted in five environments to evaluate δ13C under rainfed and irrigated conditions. Analysis of variance of δ13C averaged over environment and irrigation treatment showed significant effects of genotype (G), environment (E), and G × E interactions. Heritability of δ13C in different environments and irrigation treatments ranged from 66 to 79%. Averaged over environments and irrigation treatments, heritability was 83%. A total of 24 QTLs associated with δ13C were identified and clustered in nine genomic regions on seven chromosomes. The QTL clusters on Gm05 (1), Gm06 (2) and Gm20 (1) were detected across different environments and irrigation regimes. Collectively, these four QTL clusters accounted for 55% of the phenotypic variation in δ13C. The QTLs on Gm06 and Gm20 also showed additive × additive epistasis that contributed approximately 4.2% to the total phenotypic variation. Several identified δ13C QTLs overlapped with QTLs associated with other physiological traits related to plant water status, biological nitrogen fixation, and plant morphology. The identified genomic regions may be an important resource in genomic selection studies to improve drought tolerance in soybean. [ABSTRACT FROM AUTHOR]

Key message: QTL analysis identified 16 QTLs, grouped in eight loci on seven soybean chromosomes that were associated with carbon isotope ratio (δ13C) in a biparental recombinant inbred population. Drought is a major limitation to soybean yield, and the frequency of drought stress is likely to increase under future climatic scenarios. Water use efficiency (WUE) is associated with drought tolerance, and carbon isotope ratio (δ13C) is positively correlated with WUE. In this study, 196 F6-derived recombinant inbred lines from a cross of PI 416997 (high WUE) × PI 567201D (low WUE) were evaluated in four environments to identify genomic regions associated with δ13C. There were positive correlations of δ13C values between different environments (0.67 ≤ r ≤ 0.78). Genotype, environment, and genotype × environment interactions had significant effects on δ13C. Narrow sense heritability of δ13C was 90% when estimated across environments. There was a total of 16 QTLs on seven chromosomes with individual QTLs explaining between 2.5 and 29.9% of the phenotypic variation and with additive effects ranging from 0.07 to 0.22‰. These 16 QTLs likely identified eight loci based on their overlapping confidence intervals. Of these eight loci, two loci on chromosome 20 (Gm20) were detected in at least three environments and were considered as stable QTLs. Additive QTLs on Gm20 showed epistatic interactions with 10 QTLs present across nine chromosomes. Five QTLs were identified across environments and showed significant QTL × environment interactions. These findings demonstrate that additive QTLs and QTL × QTL interactions play significant roles in genetic control of the δ13C trait. Markers flanking identified QTLs may facilitate marker-assisted selection to accumulate desirable QTLs to improve WUE and drought tolerance in soybean. [ABSTRACT FROM AUTHOR]