Home > Research > Publications & Outputs > RootTarget

Links

Text available via DOI:

View graph of relations

RootTarget: A dynamic model enabling the targeted application of plant growth regulators for rice

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

RootTarget: A dynamic model enabling the targeted application of plant growth regulators for rice. / Heap, Brittany; McAinsh, Martin; Toledo-Ortiz, Gabriela.
In: Plants, People, Planet, Vol. 4, No. 2, 31.03.2022, p. 157-166.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Heap B, McAinsh M, Toledo-Ortiz G. RootTarget: A dynamic model enabling the targeted application of plant growth regulators for rice. Plants, People, Planet. 2022 Mar 31;4(2):157-166. Epub 2021 Oct 13. doi: 10.1002/ppp3.10231

Author

Bibtex

@article{0de7df081ada4fc7af702051639cb930,
title = "RootTarget: A dynamic model enabling the targeted application of plant growth regulators for rice",
abstract = "Societal Impact StatementThe rising global population and the increasingly conspicuous effects of climate change are putting growing pressure on the agricultural industry. Food production must increase significantly with little or no access to extra land; therefore, new approaches are urgently required to increase crop productivity. The strategic application of plant growth regulators is one method of achieving this, made possible by RootTarget. RootTarget maps regional land use and resource availability, identifying locations where crops could benefit from the application of plant growth regulators. Such targeted application can contribute to creating a more resilient and sustainable farming system.SummaryDeveloping novel strategies for optimising crop productivity is essential to meet the requirement of doubling food production by 2050. Geographic information system (GIS) software provides the opportunity to develop models for targeted application of plant growth regulators in rice-growing regions based on water availability and agricultural practices, in order to optimise yields.GIS was used to identify rice-growing areas with adequate irrigation, a high evapotranspiration index or suitable sowing technique for site-specific application of plant growth regulators. Rule-based decisions were incorporated into a GIS model in order to identify key areas where plant growth regulators should be applied. This approach allows information sharing between multiple stakeholders including researchers, companies and farmers with the aim of maximising crop productivity.A root growth promoter (RGP) was identified that promotes root growth under optimum conditions but not when applied concurrently with a drought stress. The effect of the RGP diminishes as the severity of the stress increases. These data were used to execute queries to identify regions with a suitable drought index, growing practice and adequate irrigation. Two hundred and twenty-nine million hectares of land, spanning four continents, were identified as having the potential to benefit from application of the RGP.Significant areas of land used for rice production were identified that could benefit from application of the RGP. This study highlights the potential to incorporate academic research into models for research dissemination to the agricultural industry and increase crop productivity.",
keywords = "cytokinins, GIS, Global food security, modelling, Plant Growth Regulators, Precision agriculture, sustainable intensification",
author = "Brittany Heap and Martin McAinsh and Gabriela Toledo-Ortiz",
year = "2022",
month = mar,
day = "31",
doi = "10.1002/ppp3.10231",
language = "English",
volume = "4",
pages = "157--166",
journal = "Plants, People, Planet",
issn = "2572-2611",
publisher = "Wiley Open Access",
number = "2",

}

RIS

TY - JOUR

T1 - RootTarget

T2 - A dynamic model enabling the targeted application of plant growth regulators for rice

AU - Heap, Brittany

AU - McAinsh, Martin

AU - Toledo-Ortiz, Gabriela

PY - 2022/3/31

Y1 - 2022/3/31

N2 - Societal Impact StatementThe rising global population and the increasingly conspicuous effects of climate change are putting growing pressure on the agricultural industry. Food production must increase significantly with little or no access to extra land; therefore, new approaches are urgently required to increase crop productivity. The strategic application of plant growth regulators is one method of achieving this, made possible by RootTarget. RootTarget maps regional land use and resource availability, identifying locations where crops could benefit from the application of plant growth regulators. Such targeted application can contribute to creating a more resilient and sustainable farming system.SummaryDeveloping novel strategies for optimising crop productivity is essential to meet the requirement of doubling food production by 2050. Geographic information system (GIS) software provides the opportunity to develop models for targeted application of plant growth regulators in rice-growing regions based on water availability and agricultural practices, in order to optimise yields.GIS was used to identify rice-growing areas with adequate irrigation, a high evapotranspiration index or suitable sowing technique for site-specific application of plant growth regulators. Rule-based decisions were incorporated into a GIS model in order to identify key areas where plant growth regulators should be applied. This approach allows information sharing between multiple stakeholders including researchers, companies and farmers with the aim of maximising crop productivity.A root growth promoter (RGP) was identified that promotes root growth under optimum conditions but not when applied concurrently with a drought stress. The effect of the RGP diminishes as the severity of the stress increases. These data were used to execute queries to identify regions with a suitable drought index, growing practice and adequate irrigation. Two hundred and twenty-nine million hectares of land, spanning four continents, were identified as having the potential to benefit from application of the RGP.Significant areas of land used for rice production were identified that could benefit from application of the RGP. This study highlights the potential to incorporate academic research into models for research dissemination to the agricultural industry and increase crop productivity.

AB - Societal Impact StatementThe rising global population and the increasingly conspicuous effects of climate change are putting growing pressure on the agricultural industry. Food production must increase significantly with little or no access to extra land; therefore, new approaches are urgently required to increase crop productivity. The strategic application of plant growth regulators is one method of achieving this, made possible by RootTarget. RootTarget maps regional land use and resource availability, identifying locations where crops could benefit from the application of plant growth regulators. Such targeted application can contribute to creating a more resilient and sustainable farming system.SummaryDeveloping novel strategies for optimising crop productivity is essential to meet the requirement of doubling food production by 2050. Geographic information system (GIS) software provides the opportunity to develop models for targeted application of plant growth regulators in rice-growing regions based on water availability and agricultural practices, in order to optimise yields.GIS was used to identify rice-growing areas with adequate irrigation, a high evapotranspiration index or suitable sowing technique for site-specific application of plant growth regulators. Rule-based decisions were incorporated into a GIS model in order to identify key areas where plant growth regulators should be applied. This approach allows information sharing between multiple stakeholders including researchers, companies and farmers with the aim of maximising crop productivity.A root growth promoter (RGP) was identified that promotes root growth under optimum conditions but not when applied concurrently with a drought stress. The effect of the RGP diminishes as the severity of the stress increases. These data were used to execute queries to identify regions with a suitable drought index, growing practice and adequate irrigation. Two hundred and twenty-nine million hectares of land, spanning four continents, were identified as having the potential to benefit from application of the RGP.Significant areas of land used for rice production were identified that could benefit from application of the RGP. This study highlights the potential to incorporate academic research into models for research dissemination to the agricultural industry and increase crop productivity.

KW - cytokinins

KW - GIS

KW - Global food security

KW - modelling

KW - Plant Growth Regulators

KW - Precision agriculture

KW - sustainable intensification

U2 - 10.1002/ppp3.10231

DO - 10.1002/ppp3.10231

M3 - Journal article

VL - 4

SP - 157

EP - 166

JO - Plants, People, Planet

JF - Plants, People, Planet

SN - 2572-2611

IS - 2

ER -