Genotype-Environment-Management Interactions in Biomass Yield and Feedstock Composition of Photoperiod-Sensitive Energy Sorghum

Schetter, August; Lin, Chu‐Hsing; Zumpf, Colleen; Jang, Chunhwa; Hoffmann, Leo; Rooney, William L.; Lee, D. K.

doi:10.1007/s12155-021-10272-6

Cited by 7 publications

(19 citation statements)

References 61 publications

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“…The mid-season nitrification suppression effect was also during the period of maximum growth rate and highest N demand for biomass sorghum (Maughan et al, 2012;van Oosterom, Borrell, et al, 2010;van Oosterom, Chapman, et al, 2010;Schetter et al, 2021), so the increased nitrification suppression during the V12 growth stage of sorghum likely also resulted from plant N uptake reducing NH 4 + availability for nitrifiers. Contrary to our expectation, the four genotypes we used had very similar growth rates and flowering times (differing by only ~1 week), resulting in the lack of any effect of genotype on rhizosphere nitrification.…”

Section: Discussionmentioning

confidence: 99%

“…A 4 ha plot adjacent to both trial fields had surface soil textures ranging from 5% to 13% sand, 51% to 64% silt, and 30% to 36% clay, and so it is unlikely that our two trial fields differ significantly in soil texture. Pre-trial soil pH did not differ between fields (Table 1), and more soil properties are reported by Schetter et al (2021).…”

Section: Experimental Designmentioning

confidence: 94%

“…In contrast, 15.7 mm of rain fell after fertilization in 2019, which typically decreases NH 3 loss (Fillery & Khimashia, 2016). These effects and the resulting soil N concentrations could also have contributed to lower sorghum tissue N in 2018 (Schetter et al, 2021). In 2019, NH 4 + concentration increased with fertilizer level in the bulk soil but not in the rhizosphere (p = 0.001).…”

Section: Edaphic and Climate Factorsmentioning

confidence: 99%

“…We leveraged a sorghum agronomy trial that included four sorghum genotypes grown in factorial combination with four fertilizer application levels in a randomized block design (n = 4; Schetter et al, 2021). Each of the 64 treatment plots consisted of eight rows, 12 m in length and spaced 76 cm apart, resulting in an overall plot size of ~72 m 2 .…”

Section: Experimental Designmentioning

confidence: 99%

“…The germplasm was obtained from the Texas A&M University sorghum breeding program. The four genotypes used (TAM08001, TAM17800, TAM17600, and TAM17500) varied in photoperiod sensitivity (Schetter et al, 2021), with TAM17600 and TAM17800 typically flowering earlier than TAM17500 and TAM08001. This potential difference in plant phenology with respect to flowering could influence plant N dynamics by changing the timing of N demand and uptake from the soil (van Oosterom, Borrell, et al, 2010;van Oosterom, Chapman, et al, 2010).…”

Section: Experimental Designmentioning

confidence: 99%

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Intra‐ and inter‐annual variability of nitrification in the rhizosphere of field‐grown bioenergy sorghum

et al. 2022

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Section: Discussionmentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 94%

Section: Edaphic and Climate Factorsmentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 99%

See 3 more Smart Citations

Intra‐ and inter‐annual variability of nitrification in the rhizosphere of field‐grown bioenergy sorghum

et al. 2022

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Comparative establishment and yield of bioenergy sorghum and maize following pre‐emergence waterlogging

et al. 2021

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Biofuel feedstocks grown on marginal lands, such as those that experience ephemeral waterlogging, reduce interference with food agriculture. As early-season extreme precipitation events in the U.S. Midwest continue to increase, waterlogging tolerance may play an important role in the productivity of annual biofuel cropping systems. We assessed the establishment and yield of photoperiod-sensitive sorghum [Sorghum bicolor (L.) Moench] and maize (Zea mays L.) after extreme early-season rainfall events in central Illinois. We used paired sorghum and maize transects, spanning from low-lying poorly drained areas to higher better drained areas, to evaluate the response of both cropping systems throughout the 2020 growing season. Sorghum maintained 25% mean emergence rates in areas that experienced the most severe waterlogging, but maize failed to establish under the same conditions. Despite the low establishment, sorghum yields in the poorly drained areas were upwards of 50% of those found in the better drained, whereas maize yields were zero areas in the poorly drained locations. The yield compensation in sorghum resulted from increased tillering, higher productivity per stem, and subsequently higher productivity per plant, which illustrates the greater phenotypic plasticity of sorghum compared to maize. Land managers who are currently seeking to grow annual cellulosic feedstocks on soils that are vulnerable to transient soil waterlogging will likely have more success with photoperiod-sensitive bioenergy sorghum than maize.

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In silico evaluation of plant nitrification suppression effects on agroecosystem nitrogen loss

et al. 2022

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Nitrification regulates the potential for nitrogen (N) loss from ecosystems because it converts ammonium to nitrate, which is susceptible to leaching and gaseous emissions. Crops can suppress the microbes that perform nitrification by exuding nitrification‐inhibiting compounds from their roots and taking up available ammonium. However, the effect of nitrification suppression on agroecosystem N losses remains poorly characterized, and a lack of temporal synchrony between nitrification, N losses, and nitrification suppression by plants could limit the effect of nitrification suppression. We used the DayCent‐CABBI model to evaluate the effectiveness of the suppression of nitrification by sorghum to reduce N2O emissions and nitrate leaching in an energy sorghum/soybean rotation at the Energy Farm in Urbana‐Champaign, IL. We simulated nitrification suppression at the measured levels (MeasNS) and at the maximum measured level applied to the entire growing season (MaxNS), and we also explored ways to better utilize nitrification suppression by altering the timing of urea–ammonium–nitrate fertilizer applications. Model experiments showed that most nitrification occurred immediately after fertilizer was applied, whereas nitrification suppression began to ramp up more than a month after planting. On an annual basis, MeasNS experiments showed a 1%–2% reduction in annual N2O emissions relative to no nitrification suppression (NoNS), and MaxNS experiments showed a 4%–9% reduction in annual N2O emissions relative to NoNS. Both nitrification suppression levels showed <1% reduction in nitrate leaching. Altering the timing of fertilizer applications to better synchronize nitrification suppression with high soil ammonium levels had mixed effects on annual N2O emissions and nitrate leaching and sometimes resulted in increased N losses. The timing of simulated N2O emissions shifted with the timing of fertilization, and N2O emissions from denitrification increased when N2O emissions from nitrification decreased. Increasing N retention during the non‐growing season may be more effective than growing‐season nitrification suppression for reducing annual N losses in the rainfed Midwest.

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Genotype-Environment-Management Interactions in Biomass Yield and Feedstock Composition of Photoperiod-Sensitive Energy Sorghum

Cited by 7 publications

References 61 publications

Intra‐ and inter‐annual variability of nitrification in the rhizosphere of field‐grown bioenergy sorghum

Intra‐ and inter‐annual variability of nitrification in the rhizosphere of field‐grown bioenergy sorghum

Comparative establishment and yield of bioenergy sorghum and maize following pre‐emergence waterlogging

In silico evaluation of plant nitrification suppression effects on agroecosystem nitrogen loss

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