Registration of ‘Benning’ Soybean

Boerma, H. R.; Hussey, R. S.; Phillips, D. V.; Wood, E. Dale; Rowan, Gina B.; Finnerty, Steven L.

doi:10.2135/cropsci1997.0011183x003700060061x

Cited by 69 publications

(49 citation statements)

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“…A field experiment was conducted at the Main Experiment Station in Fayetteville, Arkansas (36 ° 05′N, 94 ° 10′W), on a Captina silt loam soil (Fine‐silty, siliceous, active, mesic Typic Fragiudults) in 2013, 2014 and 2015. Ten different soya bean genotypes, including five fast‐wilting genotypes (G00BP84, 110, 200, 223 and 245) and five slow‐wilting genotypes (G00BP53, 60, 169, 214 and 216), were selected from the cross between “Benning” (Boerma et al., ) and PI416937. Benning is a US elite cultivar with fast canopy wilting, and PI 416937 is originally from Japan with slow canopy wilting (Carter, DeSouza, & Purcell, ; King et al., ).…”

Section: Methodsmentioning

confidence: 99%

Aerial canopy temperature differences between fast‐ and slow‐wilting soya bean genotypes

Bai

Purcell

2018

J Agronomy Crop Science

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Drought stress limits crop growth and yield in soya bean (Glycine max [L.] Merr.), but there are relatively few tools available to assess the ability of different genotypes to tolerate drought. Aerial infrared image analysis was evaluated as a potential tool for identifying drought tolerance in soya bean. Drought effects were evaluated from late vegetative to mid‐reproductive stages of soya bean development in an experiment with ten genotypes including five slow‐ and five fast‐wilting genotypes that were from a population derived from Benning×PI416937. There were two deficit irrigation levels for 2 years and one deficit irrigation level for the third year along with a fully irrigated control level. When the canopy was completely closed, relative canopy temperature was determined using an infrared camera taken from an aerial platform 50–75 m above the experiment. As water availability decreased, the relative canopy temperature generally increased. Moreover, slow‐wilting soya bean genotypes generally had lower canopy temperature compared to fast‐wilting genotypes, and grain yield was generally positively associated with cool canopy temperatures. The results indicate that the determination of canopy temperature is a promising tool for rapid characterization of drought‐related traits in soya bean.

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Section: Methodsmentioning

confidence: 99%

Aerial canopy temperature differences between fast‐ and slow‐wilting soya bean genotypes

Bai

Purcell

2018

J Agronomy Crop Science

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“…The AxPI population was developed specifically for evaluating canopy wilting since parental lines represent extreme phenotypes for 1 3 canopy wilting ). Benning is MG VII cultivar that was developed by University of Georgia (Boerma et al 1997). PI 416937 is an MG VI accession from Japan (USDA National Genetic Resources Program 2014b).…”

Section: Population Materialsmentioning

confidence: 99%

Confirmation of delayed canopy wilting QTLs from multiple soybean mapping populations

et al. 2015

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QTLs for delayed canopy wilting from five soybean populations were projected onto the consensus map to identify eight QTL clusters that had QTLs from at least two independent populations. Quantitative trait loci (QTLs) for canopy wilting were identified in five recombinant inbred line (RIL) populations, 93705 KS4895 × Jackson, 08705 KS4895 × Jackson, KS4895 × PI 424140, A5959 × PI 416937, and Benning × PI 416937 in a total of 15 site-years. For most environments, heritability of canopy wilting ranged from 0.65 to 0.85 but was somewhat lower when averaged over environments. Putative QTLs were identified with composite interval mapping and/or multiple interval mapping methods in each population and positioned on the consensus map along with their 95% confidence intervals (CIs). We initially found nine QTL clusters with overlapping CIs on Gm02, Gm05, Gm11, Gm14, Gm17, and Gm19 identified from at least two different populations, but a simulation study indicated that the QTLs on Gm14 could be false positives. A QTL on Gm08 in the 93705 KS4895 × Jackson population co-segregated with a QTL for wilting published previously in a Kefeng1 × Nannong 1138-2 population, indicating that this may be an additional QTL cluster. Excluding the QTL cluster on Gm14, results of the simulation study indicated that the eight remaining QTL clusters and the QTL on Gm08 appeared to be authentic QTLs. QTL × year interactions indicated that QTLs were stable over years except for major QTLs on Gm11 and Gm19. The stability of QTLs located on seven clusters indicates that they are possible candidates for use in marker-assisted selection.

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“…Five fast-wilting genotypes in the experiments were A5959, 'Benning' (Boerma et al, 1997), 'Boggs' (Boerma et al, 2000), Graham, and 'Hutcheson' (Buss et al, 1988) and a cultivar with an intermediate wilting response to drought, Jackson. Nine genotypes were evaluated both years including three slowwilting genotypes, PI 416937, PI 471938, and NTCPR94-5157.…”

Section: And 2008 Experimentsmentioning

confidence: 99%

Physiological Traits Contributing to Differential Canopy Wilting in Soybean under Drought

Ries

Purcell²,

Carter

et al. 2012

Crop Science

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Delayed wilting is observed in a few unusual soybean [Glycine max (L.) Merr.] genotypes, but the reasons and importance of this trait for conferring agronomic drought tolerance are poorly understood. We hypothesized that soybean genotypes with delayed wilting conserve soil moisture by restricting transpiration and that this would be reflected in decreased radiation use efficiency (RUE) and/or improved water use efficiency (WUE). Water conserved when soil moisture was plentiful would be available later in the season when drought is usually more severe. Irrigated field experiments in eight environments compared RUE of genotypes known to wilt differently during drought. In addition, we measured stomatal conductance, carbon isotope discrimination (CID), volumetric soil‐moisture content, stomatal density, and canopy temperature depression. In six of the eight environments, slow‐wilting genotypes generally had lower RUE than fast‐wilting genotypes, which is consistent with our hypothesis. Three of four slow‐wilting genotypes had higher soil moisture immediately before irrigation than fast‐wilting genotypes, which is also consistent with the hypothesis. Genotypic differences in CID (a proxy for WUE) were present but were not consistently related with slow wilting. No genotypic differences were detected in stomatal conductance or canopy temperature. These results suggest that multiple mechanisms involving RUE and WUE could result in soil‐water conservation in these diverse genotypes.

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Registration of ‘Benning’ Soybean

Cited by 69 publications

References 0 publications

Aerial canopy temperature differences between fast‐ and slow‐wilting soya bean genotypes

Aerial canopy temperature differences between fast‐ and slow‐wilting soya bean genotypes

Confirmation of delayed canopy wilting QTLs from multiple soybean mapping populations

Physiological Traits Contributing to Differential Canopy Wilting in Soybean under Drought

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