Literature DB >> 35035142

Nitrogen use efficiency (NUE): elucidated mechanisms, mapped genes and gene networks in maize (Zea mays L.).

Shabir H Wani1, Roshni Vijayan2, Mukesh Choudhary3, Anuj Kumar4, Abbu Zaid5, Vishal Singh6, Pardeep Kumar3, Jeshima Khan Yasin7.   

Abstract

Nitrogen, the vital primary plant growth nutrient at deficit soil conditions, drastically affects the growth and yield of a crop. Over the years, excess use of inorganic nitrogenous fertilizers resulted in pollution, eutrophication and thereby demanding the reduction in the use of chemical fertilizers. Being a C4 plant with fibrous root system and high NUE, maize can be deployed to be the best candidate for better N uptake and utilization in nitrogen deficient soils. The maize germplasm sources has enormous genetic variation for better nitrogen uptake contributing traits. Adoption of single cross maize hybrids as well as inherent property of high NUE has helped maize cultivars to achieve the highest growth rate among the cereals during last decade. Further, considering the high cost of nitrogenous fertilizers, adverse effects on soil health and environmental impact, maize improvement demands better utilization of existing genetic variation for NUE via introgression of novel allelic combinations in existing cultivars. Marker assisted breeding efforts need to be supplemented with introgression of genes/QTLs related to NUE in ruling varieties and thereby enhancing the overall productivity of maize in a sustainable manner. To achieve this, we need mapped genes and network of interacting genes and proteins to be elucidated. Identified genes may be used in screening ideal maize genotypes in terms of better physiological functionality exhibiting high NUE. Future genome editing may help in developing lines with increased productivity under low N conditions in an environment of optimum agronomic practices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01113-z. © Prof. H.S. Srivastava Foundation for Science and Society 2021.

Entities:  

Keywords:  Co-expression networks; Maize; Mapping; NUE; Productivity; Quantitative trait loci

Year:  2021        PMID: 35035142      PMCID: PMC8720126          DOI: 10.1007/s12298-021-01113-z

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  84 in total

Review 1.  Ideotype root architecture for efficient nitrogen acquisition by maize in intensive cropping systems.

Authors:  Guohua Mi; Fanjun Chen; Qiuping Wu; Ningwei Lai; Lixing Yuan; Fusuo Zhang
Journal:  Sci China Life Sci       Date:  2010-12-23       Impact factor: 6.038

2.  The heat shock response of pollen and other tissues of maize.

Authors:  N Hopf; N Plesofsky-Vig; R Brambl
Journal:  Plant Mol Biol       Date:  1992-07       Impact factor: 4.076

Review 3.  Conserved and diverse mechanisms in root development.

Authors:  Frank Hochholdinger; Roman Zimmermann
Journal:  Curr Opin Plant Biol       Date:  2007-11-19       Impact factor: 7.834

4.  Maize plant nitrogen uptake dynamics at limited irrigation water and nitrogen.

Authors:  Hafiz Mohkum Hammad; Wajid Farhad; Farhat Abbas; Shah Fahad; Shafqat Saeed; Wajid Nasim; Hafiz Faiq Bakhat
Journal:  Environ Sci Pollut Res Int       Date:  2016-11-08       Impact factor: 4.223

Review 5.  Harnessing atmospheric nitrogen for cereal crop production.

Authors:  Sarah E Bloch; Min-Hyung Ryu; Bilge Ozaydin; Richard Broglie
Journal:  Curr Opin Biotechnol       Date:  2019-11-29       Impact factor: 9.740

6.  Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring.

Authors:  Nicolas Virlet; Kasra Sabermanesh; Pouria Sadeghi-Tehran; Malcolm J Hawkesford
Journal:  Funct Plant Biol       Date:  2016-02       Impact factor: 3.101

7.  Mapping QTLs for root system architecture of maize (Zea mays L.) in the field at different developmental stages.

Authors:  Hongguang Cai; Fanjun Chen; Guohua Mi; Fusuo Zhang; Hans Peter Maurer; Wenxin Liu; Jochen C Reif; Lixing Yuan
Journal:  Theor Appl Genet       Date:  2012-06-21       Impact factor: 5.699

8.  Identification of Nitrogen Use Efficiency Genes in Barley: Searching for QTLs Controlling Complex Physiological Traits.

Authors:  Mei Han; Julia Wong; Tao Su; Perrin H Beatty; Allen G Good
Journal:  Front Plant Sci       Date:  2016-10-21       Impact factor: 5.753

9.  Tissue and nitrogen-linked expression profiles of ammonium and nitrate transporters in maize.

Authors:  Julie Dechorgnat; Karen L Francis; Kanwarpal S Dhugga; J Antony Rafalski; Stephen D Tyerman; Brent N Kaiser
Journal:  BMC Plant Biol       Date:  2019-05-20       Impact factor: 4.215

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  2 in total

1.  Inorganic Nitrogen-Containing Aerosol Deposition Caused "Excessive Photosynthesis" of Herbs, Resulting in Increased Nitrogen Demand.

Authors:  Zhiwei Ge; Yunran Ma; Wei Xing; Yongbo Wu; Sili Peng; Lingfeng Mao; Zimei Miao
Journal:  Plants (Basel)       Date:  2022-08-27

2.  GWAS and Transcriptome Analysis Reveal Key Genes Affecting Root Growth under Low Nitrogen Supply in Maize.

Authors:  Yunyun Wang; Tianze Zhu; Jiyuan Yang; Houmiao Wang; Weidong Ji; Yang Xu; Zefeng Yang; Chenwu Xu; Pengcheng Li
Journal:  Genes (Basel)       Date:  2022-09-11       Impact factor: 4.141

  2 in total

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