Rice breeding for low input agriculture
A low-input-based farming system can reduce the adverse effects of modern agriculture through proper utilization of natural resources. Modern varieties often need to improve in low-input settings since they are not adapted to these systems. In addition, rice is one of the most widely cultivated crop...
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Published in | Frontiers in plant science Vol. 15; p. 1408356 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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21.06.2024
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Abstract | A low-input-based farming system can reduce the adverse effects of modern agriculture through proper utilization of natural resources. Modern varieties often need to improve in low-input settings since they are not adapted to these systems. In addition, rice is one of the most widely cultivated crops worldwide. Enhancing rice performance under a low input system will significantly reduce the environmental concerns related to rice cultivation. Traits that help rice to maintain yield performance under minimum inputs like seedling vigor, appropriate root architecture for nutrient use efficiency should be incorporated into varieties for low input systems through integrated breeding approaches. Genes or QTLs controlling nutrient uptake, nutrient assimilation, nutrient remobilization, and root morphology need to be properly incorporated into the rice breeding pipeline. Also, genes/QTLs controlling suitable rice cultivars for sustainable farming. Since several variables influence performance under low input conditions, conventional breeding techniques make it challenging to work on many traits. However, recent advances in omics technologies have created enormous opportunities for rapidly improving multiple characteristics. This review highlights current research on features pertinent to low-input agriculture and provides an overview of alternative genomics-based breeding strategies for enhancing genetic gain in rice suitable for low-input farming practices. |
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AbstractList | A low-input-based farming system can reduce the adverse effects of modern agriculture through proper utilization of natural resources. Modern varieties often need to improve in low-input settings since they are not adapted to these systems. In addition, rice is one of the most widely cultivated crops worldwide. Enhancing rice performance under a low input system will significantly reduce the environmental concerns related to rice cultivation. Traits that help rice to maintain yield performance under minimum inputs like seedling vigor, appropriate root architecture for nutrient use efficiency should be incorporated into varieties for low input systems through integrated breeding approaches. Genes or QTLs controlling nutrient uptake, nutrient assimilation, nutrient remobilization, and root morphology need to be properly incorporated into the rice breeding pipeline. Also, genes/QTLs controlling suitable rice cultivars for sustainable farming. Since several variables influence performance under low input conditions, conventional breeding techniques make it challenging to work on many traits. However, recent advances in omics technologies have created enormous opportunities for rapidly improving multiple characteristics. This review highlights current research on features pertinent to low-input agriculture and provides an overview of alternative genomics-based breeding strategies for enhancing genetic gain in rice suitable for low-input farming practices. A low-input-based farming system can reduce the adverse effects of modern agriculture through proper utilization of natural resources. Modern varieties often need to improve in low-input settings since they are not adapted to these systems. In addition, rice is one of the most widely cultivated crops worldwide. Enhancing rice performance under a low input system will significantly reduce the environmental concerns related to rice cultivation. Traits that help rice to maintain yield performance under minimum inputs like seedling vigor, appropriate root architecture for nutrient use efficiency should be incorporated into varieties for low input systems through integrated breeding approaches. Genes or QTLs controlling nutrient uptake, nutrient assimilation, nutrient remobilization, and root morphology need to be properly incorporated into the rice breeding pipeline. Also, genes/QTLs controlling suitable rice cultivars for sustainable farming. Since several variables influence performance under low input conditions, conventional breeding techniques make it challenging to work on many traits. However, recent advances in omics technologies have created enormous opportunities for rapidly improving multiple characteristics. This review highlights current research on features pertinent to low-input agriculture and provides an overview of alternative genomics-based breeding strategies for enhancing genetic gain in rice suitable for low-input farming practices.A low-input-based farming system can reduce the adverse effects of modern agriculture through proper utilization of natural resources. Modern varieties often need to improve in low-input settings since they are not adapted to these systems. In addition, rice is one of the most widely cultivated crops worldwide. Enhancing rice performance under a low input system will significantly reduce the environmental concerns related to rice cultivation. Traits that help rice to maintain yield performance under minimum inputs like seedling vigor, appropriate root architecture for nutrient use efficiency should be incorporated into varieties for low input systems through integrated breeding approaches. Genes or QTLs controlling nutrient uptake, nutrient assimilation, nutrient remobilization, and root morphology need to be properly incorporated into the rice breeding pipeline. Also, genes/QTLs controlling suitable rice cultivars for sustainable farming. Since several variables influence performance under low input conditions, conventional breeding techniques make it challenging to work on many traits. However, recent advances in omics technologies have created enormous opportunities for rapidly improving multiple characteristics. This review highlights current research on features pertinent to low-input agriculture and provides an overview of alternative genomics-based breeding strategies for enhancing genetic gain in rice suitable for low-input farming practices. |
Author | Tarpley, Lee Septiningsih, Endang M. Talukder, Shyamal K. Pradhan, Anjan Kumar Singh, Gurjeet Jyoti, Subroto Das |
AuthorAffiliation | 2 Texas A&M AgriLife Research Center , Beaumont, TX , United States 1 Department of Soil and Crop Sciences, Texas A&M University , College Station, TX , United States |
AuthorAffiliation_xml | – name: 2 Texas A&M AgriLife Research Center , Beaumont, TX , United States – name: 1 Department of Soil and Crop Sciences, Texas A&M University , College Station, TX , United States |
Author_xml | – sequence: 1 givenname: Subroto Das surname: Jyoti fullname: Jyoti, Subroto Das – sequence: 2 givenname: Gurjeet surname: Singh fullname: Singh, Gurjeet – sequence: 3 givenname: Anjan Kumar surname: Pradhan fullname: Pradhan, Anjan Kumar – sequence: 4 givenname: Lee surname: Tarpley fullname: Tarpley, Lee – sequence: 5 givenname: Endang M. surname: Septiningsih fullname: Septiningsih, Endang M. – sequence: 6 givenname: Shyamal K. surname: Talukder fullname: Talukder, Shyamal K. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38974981$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1093_bib_bbae702 crossref_primary_10_1007_s43538_024_00380_0 crossref_primary_10_1186_s12864_024_11037_z crossref_primary_10_1016_j_stress_2024_100707 |
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Copyright | Copyright © 2024 Jyoti, Singh, Pradhan, Tarpley, Septiningsih and Talukder. Copyright © 2024 Jyoti, Singh, Pradhan, Tarpley, Septiningsih and Talukder 2024 Jyoti, Singh, Pradhan, Tarpley, Septiningsih and Talukder |
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Keywords | genomic selection genomics high-throughput phenotyping sustainability organic rice low-input agriculture |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 Reviewed by: Parameswaran C, Indian Council of Agricultural Research (ICAR), India Edited by: Dayun Tao, Yunnan Academy of Agricultural Sciences, China Anandan Annamalai, Indian Institute of Seed Science, India |
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Title | Rice breeding for low input agriculture |
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