Enhancing growth and transpiration efficiency of corn plants with compost addition and potential beneficial microbes under well-watered and water-stressed conditions Article Swipe
Xiaojuan Wang
,
P. W. G. Sale
,
James Hunt
,
Gary J. Clark
,
Jennifer L. Wood
,
Ashley E. Franks
,
Priyanka Reddy
,
Jian Jin
,
Stephen Joseph
,
Caixian Tang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s11104-025-07527-y
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s11104-025-07527-y
Background and aims Water scarcity due to increasing climate variability means improved drought tolerance in crop plants is more urgent. Addition of organic wastes could enhance crop drought tolerance through improved nutrition or increased soil water holding capacity. However, their effect on crop water relations, mediated by plant beneficial soil microbes, remains less well-studied. This study aims to understand how applications of nutrient-rich composts affect the growth and transpiration use efficiency (TE), the ratio of shoot biomass to total transpiration, of corn plants under well-watered and water-stressed conditions. Methods The study used a factorial combination of four amendment treatments (surface applied fertilizer, surface-and deep-banded compost, and deep-banded compost with biochar) with two water regimes. Results All compost treatments, irrespective of whether they were applied to the topsoil or subsoil, alone or with biochar, increased TE of corn plants by ~ 10%, relative to surface fertilizer. Compost addition reduced average stomatal conductance and transpiration rate by > 30%, which could be attributed to elevated leaf hormone concentrations of abscisic acid and methyl jasmonate. Furthermore, compost addition increased the abundance of soil fungi and bacteria in the Bacillus and Streptomyces genera, which are known to increase the biosynthesis of leaf hormones. In the deep compost treatments, corn plants exhibited significantly higher root length densities in subsoil layers, resulting in increased subsoil water extraction. Conclusion Greater biomass production following deep compost addition under water stress was mainly attributed to microbially mediated increase in TE, followed by improved deep root growth and water uptake from the subsoil layer.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11104-025-07527-y
- https://link.springer.com/content/pdf/10.1007/s11104-025-07527-y.pdf
- OA Status
- hybrid
- Cited By
- 3
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410391513
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410391513Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s11104-025-07527-yDigital Object Identifier
- Title
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Enhancing growth and transpiration efficiency of corn plants with compost addition and potential beneficial microbes under well-watered and water-stressed conditionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-15Full publication date if available
- Authors
-
Xiaojuan Wang, P. W. G. Sale, James Hunt, Gary J. Clark, Jennifer L. Wood, Ashley E. Franks, Priyanka Reddy, Jian Jin, Stephen Joseph, Caixian TangList of authors in order
- Landing page
-
https://doi.org/10.1007/s11104-025-07527-yPublisher landing page
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https://link.springer.com/content/pdf/10.1007/s11104-025-07527-y.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://link.springer.com/content/pdf/10.1007/s11104-025-07527-y.pdfDirect OA link when available
- Concepts
-
Transpiration, Compost, Plant physiology, Agronomy, Environmental science, Plant growth, Water-use efficiency, Biology, Botany, Photosynthesis, IrrigationTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
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91Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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