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dc.contributor.author
Verma, Krishan K.
dc.contributor.author
Song, Xiu-Peng
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Budeguer, Florencia
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dc.contributor.author
Nikpay, Amin
dc.contributor.author
Enrique, Ramón Atanasio
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Singh, Munna
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Zhang, Bao-Qing
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Wu, Jian-Ming
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Li, Yang-Rui
dc.date.available
2023-08-16T20:13:52Z
dc.date.issued
2022-10
dc.identifier.citation
Verma, Krishan K.; Song, Xiu-Peng; Budeguer, Florencia; Nikpay, Amin; Enrique, Ramón Atanasio; et al.; Genetic engineering: an efficient approach to mitigating biotic and abiotic stresses in sugarcane cultivation; Taylor & Francis; Plant Signaling and Behavior; 17; 1; 10-2022; 1-10
dc.identifier.issn
1559-2316
dc.identifier.uri
http://hdl.handle.net/11336/208524
dc.description.abstract
Abiotic stresses are the foremost limiting factors for crop productivity. Crop plants need to cope with adverse external pressure caused by various environmental conditions with their intrinsic biological mechanisms to keep their growth, development, and productivity. Climate-resilient, high-yielding crops need to be developed to maintain sustainable food supply. Over the last decade, understanding of the genetic complexity of agronomic traits in sugarcane has prompted the integrated application of genetic engineering to address specific biological questions. Genes for adaptation to environmental stress and yield enhancement traits are being determined and introgressed to develop elite sugarcane cultivars with improved characteristics through genetic engineering approaches. Here, we discuss the advancement to provide a reference for future sugarcane (Saccharum spp.) genetic engineering.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
BIOTIC AND ABIOTIC STRESS RESISTANCE
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GENETIC ENGINEERING
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STRESS RELIEVER
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SUGARCANE (SACCHARUM SPP.)
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TRANSFORMATION APPROACHES
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Biotecnología Agrícola y Biotecnología Alimentaria
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Biotecnología Agropecuaria
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CIENCIAS AGRÍCOLAS
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dc.title
Genetic engineering: an efficient approach to mitigating biotic and abiotic stresses in sugarcane cultivation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-07T19:24:16Z
dc.identifier.eissn
1559-2324
dc.journal.volume
17
dc.journal.number
1
dc.journal.pagination
1-10
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Verma, Krishan K.. Ministry Of Agriculture Of The People's Republic Of China; China
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Fil: Song, Xiu-Peng. Ministry Of Agriculture Of The People's Republic Of China; China
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Fil: Budeguer, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Tecnología Agroindustrial del Noroeste Argentino. Provincia de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial "Obispo Colombres" (p). Instituto de Tecnología Agroindustrial del Noroeste Argentino; Argentina
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Fil: Nikpay, Amin. Salman Farsi Agroindustry; Irán
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Fil: Enrique, Ramón Atanasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Tecnología Agroindustrial del Noroeste Argentino. Provincia de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial "Obispo Colombres" (p). Instituto de Tecnología Agroindustrial del Noroeste Argentino; Argentina
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Fil: Singh, Munna. University Of Lucknow; India
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Fil: Zhang, Bao-Qing. Ministry Of Agriculture Of The People's Republic Of China; China
dc.description.fil
Fil: Wu, Jian-Ming. Ministry Of Agriculture Of The People's Republic Of China; China
dc.description.fil
Fil: Li, Yang-Rui. Ministry Of Agriculture Of The People's Republic Of China; China
dc.journal.title
Plant Signaling and Behavior
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/15592324.2022.2108253
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1080/15592324.2022.2108253
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