Methods on Identification and Screening of Rice Genotypes with High Nitrogen Efficiency

Jianfeng, Cheng; Jiang, Han-yan; Yi-bai, Liu; Dai, Tingbo; Cao, Weixing

doi:10.1016/s1672-6308(11)60018-8

Cited by 19 publications

(10 citation statements)

References 18 publications

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“…Significant progress has been made in Arabidopsis, and different accessions have been used for exploiting natural variations in N uptake, utilization, and NUE in response to various N supply [12,13]. Moreover, such approaches also have been applied in crop plants such as rice [14], wheat [15], maize [16], rapeseed [17], tomato [18,19], soybean [20], and barley [21]. In all these studies, the main focus was to observe the natural variations in terms of selecting plants with high NUE.…”

Section: Introductionmentioning

confidence: 99%

Variations in Nitrogen Metabolism are Closely Linked with Nitrogen Uptake and Utilization Efficiency in Cotton Genotypes under Various Nitrogen Supplies

Iqbal

Dong

Wang

et al. 2020

Plants

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Cotton production is highly sensitive to nitrogen (N) fertilization, whose excessive use is responsible for human and environmental problems. Lowering N supply together with the selection of N-efficient genotypes, more able to uptake, utilize, and remobilize the available N, could be a challenge to maintain high cotton production sustainably. The current study aimed to explore the intraspecific variation among four cotton genotypes in response to various N supplies, in order to identify the most distinct N-efficient genotypes and their nitrogen use efficiency (NUE)-related traits in hydroponic culture. On the basis of shoot dry matter, CCRI-69 and XLZ-30 were identified as N-efficient and N-inefficient genotypes, respectively, and these results were confirmed by their contrasting N metabolism, uptake (NUpE), and utilization efficiency (NUtE). Overall, our results indicated the key role of shoot glutamine synthetase (GS) and root total soluble protein in NUtE. Conversely, tissue N concentration and N-metabolizing enzymes were considered as the key traits in conferring high NUpE. The remobilization of N from the shoot to roots by high shoot GS activity may be a strategy to enhance root total soluble protein, which improves root growth for N uptake and NUE. In future, multi-omics studies will be employed to focus on the key genes and pathways involved in N metabolism and their role in improving NUE.

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Section: Introductionmentioning

confidence: 99%

Variations in Nitrogen Metabolism are Closely Linked with Nitrogen Uptake and Utilization Efficiency in Cotton Genotypes under Various Nitrogen Supplies

Iqbal

Dong

Wang

et al. 2020

Plants

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“…Increased interest has developed worldwide in improving NUE and exploiting the genetic potential of crops such as rice (Peng et al 2006;Cheng et al 2011), wheat (Gaju et al 2011;Zhang et al 2015;Hitz et al 2017), maize (Gallais and Hirel 2004), and rapeseed (Behrens et al 2011;Bouchet et al 2016). Although plant breeders sometimes select genotypes in high-N environments to exploit maximum genetic potentials, the selected genotypes may not perform well in N-limiting conditions.…”

Section: Introductionmentioning

confidence: 99%

Identification and screening of nitrogen-efficient cotton genotypes under low and normal nitrogen environments at the seedling stage

Zhang

Gui

et al. 2018

J Cotton Res

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Background: Large quantities of nitrogen (N) fertilizer applied to cotton cropping systems support high yields but cause adverse environmental impacts such as N 2 O emission and water eutrophication. The development of cotton cultivars with higher N use efficiencies suitable for low-N conditions is therefore important for sustainable production. In this study, we evaluated 100 cotton genotypes in 2016 for N use efficiency and related traits at the seedling stage. Methods: Sand culture experiment was conducted with low N levels (0.01 g•kg − 1) or normal N levels (0.1 g•kg − 1). We investigated plant height, SPAD value (soil plant analysis development chlorophyll meter), dry weight, N accumulation, N utilization efficiency, and N uptake efficiency. Through descriptive statistics, principal component analysis and heatmap clustering analysis, we confirmed the evaluation index system of N-efficient genotypes and the classification of N-efficient genotypes. Results: Significant differences were observed among N levels and genotypes for all agronomic traits and N levels. Coefficients of variation varied greatly and ranged from 6.7~28.8 and 7.4~20.8 under low-N and normal-N treatment, respectively. All traits showed highly significant positive correlations with each other, except SPAD value. The principal components under both N levels were similar, showing that total dry weight, aboveground dry weight, total N accumulation, and N uptake efficiency were important components. We confirmed these four traits as suitable screening indexes for low N tolerance. Based on the results of heatmap clustering and scatter diagram analysis of N efficiency value, 10 genotypes were found low-N tolerant, in which five varieties were inefficient under both low and normal N conditions, while four varieties were found efficient under low-N conditions but inefficient under normal-N conditions. Only one variety was efficient under both low and normal-N conditions. Meanwhile, 20 genotypes were identified as low-N sensitive ones, in which 19 genotypes were inefficient under low-N conditions but efficient under normal-N conditions, one variety was inefficient under both low and normal-N conditions. Conclusion: We preliminarily identified Kashi as a low-N tolerant and N-efficient cotton genotype, and CCRI 64 as a low-N sensitive and N-inefficient cotton genotype. Further studies should be carried out to verify the yield and heritability effect of specific genotypes in the field.

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“…In principle, there is a major opportunity to reduce the costs of agricultural production and levels of environmental pollution at the same time (Fageria and Santos, 2014). Future research should focus on integrating outcomes from breeding for higher NUE into field studies in relation to agronomic practices that demonstrate how environmental sustainability can go hand in hand with reduced and more efficient use of fertilizers (Ladha et al, 1998;Cheng et al, 2011).…”

Section: Agronomic Nitrogen Use Efficiency and Environmental Impactsmentioning

confidence: 99%

Nitrogen Challenges and Opportunities for Agricultural and Environmental Science in India

Móring

Hooda

Raghuram

et al. 2021

Front. Sustain. Food Syst.

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In the last six decades, the consumption of reactive nitrogen (Nr) in the form of fertilizer in India has been growing rapidly, whilst the nitrogen use efficiency (NUE) of cropping systems has been decreasing. These trends have led to increasing environmental losses of Nr, threatening the quality of air, soils, and fresh waters, and thereby endangering climate-stability, ecosystems, and human-health. Since it has been suggested that the fertilizer consumption of India may double by 2050, there is an urgent need for scientific research to support better nitrogen management in Indian agriculture. In order to share knowledge and to develop a joint vision, experts from the UK and India came together for a conference and workshop on “Challenges and Opportunities for Agricultural Nitrogen Science in India.” The meeting concluded with three core messages: (1) Soil stewardship is essential and legumes need to be planted in rotation with cereals to increase nitrogen fixation in areas of limited Nr availability. Synthetic symbioses and plastidic nitrogen fixation are possibly disruptive technologies, but their potential and implications must be considered. (2) Genetic diversity of crops and new technologies need to be shared and exploited to reduce N losses and support productive, sustainable agriculture livelihoods. (3) The use of leaf color sensing shows great potential to reduce nitrogen fertilizer use (by 10–15%). This, together with the usage of urease inhibitors in neem-coated urea, and better management of manure, urine, and crop residues, could result in a 20–25% improvement in NUE of India by 2030.

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Methods on Identification and Screening of Rice Genotypes with High Nitrogen Efficiency

Cited by 19 publications

References 18 publications

Variations in Nitrogen Metabolism are Closely Linked with Nitrogen Uptake and Utilization Efficiency in Cotton Genotypes under Various Nitrogen Supplies

Variations in Nitrogen Metabolism are Closely Linked with Nitrogen Uptake and Utilization Efficiency in Cotton Genotypes under Various Nitrogen Supplies

Identification and screening of nitrogen-efficient cotton genotypes under low and normal nitrogen environments at the seedling stage

Nitrogen Challenges and Opportunities for Agricultural and Environmental Science in India

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