Nitrogen use efficiency in spring wheat: genotypic variation and grain yield response under sandy soil conditions

Mansour, Elsayed; Merwad, Abdel-Rahman M. A.; Yasin, M.; Abdul-Hamid, Mohamed I. E.; El-Sobky, El-Sayed E. A.; Oraby, Hesham F.

doi:10.1017/s0021859617000600

Cited by 36 publications

(45 citation statements)

References 41 publications

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“…The various components of NUE are N uptakes by root, assimilation, and remobilization in the shoot. Reports in the literature suggest genetic variability in NUE in spring wheat [41]. In the present study, the nitrogen use efficient genotypes were HD 2967, DBW 39, RAJ 4037, and MACS 6478.…”

Section: Selection Of Promising Cultivars Based On Selection Indicessupporting

confidence: 55%

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

et al. 2020

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A set of thirty-six wheat cultivars were grown for two consecutive years under low and high nitrogen conditions. The interactions of cultivars with different environmental factors were shown to be highly significant for most of the studied traits, suggesting the presence of wider genetic variability which may be utilized for the genetic improvement of desired trait(s). Three cultivars, i.e., RAJ 4037, DBW 39 and GW 322, were selected based on three selection indices, i.e., tolerance index (TOL), stress susceptibility index (SSI), and yield stability index (YSI), while two cultivars, HD 2967 and MACS 6478, were selected based on all four selection indices which were common in both of the study years. According to Kendall’s concordance coefficient, the consistency of geometric mean productivity (GMP) was found to be highest (0.778), followed by YSI (0.556), SSI (0.472), and TOL (0.200). Due to the high consistency of GMP followed by YSI and SSI, the three selection indices could be utilized as a selection tool in the identification of high-yielding genotypes under low nitrogen conditions. The GMP and YSI selection indices had a positive and significant correlation with grain yield, whereas TOL and SSI exhibited a significant but negative correlation with grain yield under both high and low nitrogen conditions in both years. The common tolerant genotypes identified through different selection indices could be utilized as potential donors in active breeding programs to incorporate the low nitrogen tolerant genes to develop high-yielding wheat varieties for low nitrogen conditions. The study also helps in understanding the physiological basis of tolerance in high-yielding wheat genotypes under low nitrogen conditions.

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Section: Selection Of Promising Cultivars Based On Selection Indicessupporting

confidence: 55%

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

et al. 2020

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“…Screening breeding lines under low-N and high-N environments are critical to identifying N-efficient genotypes that will perform well under the lower N levels required to satisfy environmental concerns and prohibitive input costs. Cultivars with low N fertilizer requirements and high N absorption levels are needed for efficient N utilization (Le Gouis et al 2000;Mansour et al 2017). According to the different capacity of tolerance to low N fertilizers, genotypes can be defined as low-N sensitive, intermediate, and low-N tolerant types.…”

Section: The Classification Of N-efficient Genotypesmentioning

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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“…Furthermore, nitrogen as an essential nutrient needed by plants is much required for improved agronomy of Sudan grass under the agroclimatic and deprived soil conditions in dry areas [13]. Egypt agricultural soils are known for acute deficit in nitrogen content [14]. us, provision of the most adequate levels of N can be of great importance to profuse the growth and maximize the yield and quality components in Sudan grass.…”

Section: Introductionmentioning

confidence: 99%

Influence of Cutting Date and Nitrogen Fertilizer Levels on Growth, Forage Yield, and Quality of Sudan Grass in a Semiarid Environment

Ziki¹,

Zeidan

El-Banna

et al. 2019

International Journal of Agronomy

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Sudan grass is less sensitive to water shortage and produces large amounts of biomass. For these reasons, it is a promising summer forage crop for arid and semiarid regions where natural pastures are rare and water scarcity limits summer forage production. The aim of the present work was to investigate the influence of cutting date (early and late, for three cuts) and three nitrogen (N) fertilizer levels (35, 70, and 105 kg N/ha/cut) on Sudan grass (Sorghum sudanense (Piper) Stapf.). The study was carried out in the experimental farm of Faculty of Agriculture, Zagazig University, Egypt, during 2016 and 2017 summer seasons using a split-plot design. The results obtained revealed significant differences between the two cutting dates on growth, forage yield, and quality of Sudan grass. The late cutting date (56 days after sowing DAS and 42 days after the 1st cut) gave the highest values for almost all the growth characters, dry forage yield in addition to total dry yield (TDY) in both seasons. The highest number of shoots/plant (1.911), leaf area/plant (2841.6 cm2), and dry forage weight (g)/plant (76.65 g) were obtained by late cutting (56 DAS) with the application of 105 kg N/ha/cut. The lowest values of these characters were recorded with 35 kg N/ha/cut. Quality parameters were significantly affected by N levels during both seasons, while cutting date significantly affected the protein yield (kg/ha). The interaction result apparently indicated that the highest dry forage yield of Sudan grass (16.26 ton/ha) was achievable at the 1st cut with the application of the highest N level (105 kg N/ha/cut).

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Nitrogen use efficiency in spring wheat: genotypic variation and grain yield response under sandy soil conditions

Cited by 36 publications

References 41 publications

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

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

Influence of Cutting Date and Nitrogen Fertilizer Levels on Growth, Forage Yield, and Quality of Sudan Grass in a Semiarid Environment

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