QTL mapping for nitrogen-use efficiency and nitrogen-deficiency tolerance traits in rice

Wang, Dong; Cui, Kehui; Ye, K. C. U. I. Guoyou; Pan, Junfeng; Xiang, Jing; Huang, Jikun; Nie, Lei

doi:10.1007/s11104-012-1142-6

Cited by 80 publications

(54 citation statements)

References 30 publications

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“…The qRW4 QTL on chromosome 4 shared the similar chromosomal regions related to root elongation (Obara et al 2010) and to nitrogen-use and nitrogen-deficiency tolerance (Wei et al 2012). qRW6 detected in 250 µM NH4 + level in our study shared the similar chromosomal region with a QTL, qRL6.1 for seminal root elongation in a wide range of NH4 + concentrations (Obara et al 2010).…”

Section: Discussionsupporting

confidence: 68%

“…qRW1 near the marker RM302-RM265 on chromosome 1 was colocated with a QTL for seminal root elongation by Obara et al (2010 and, which was detected in rice seedlings grown in hydrophonic condition using two different mapping populations derived from Koshihikari × Kasalath and Taichung 65 × O. glaberrima. qRW1 was also colocalized with a major QTL for seminal root elongation under 500 µM NH4 + using a CSSL population from a cross between 'Curinga' and O. rufipogon (Ogawa et al 2014) and a QTL for shoot dry weight, and plant dry weight (Wei et al 2012). In our study, a qRW1 introgression from Moroberekan in the Ilpumbyeo genetic background was associated with higher root weight at 500 µM NH4 + level.…”

Section: Discussionsupporting

confidence: 55%

“…The QTL, qRW8 shared the similar location with a QTL for nitrogen response (Cho et al 2007;Obara et al 2010;Zhao et al 2014). qRL10 on chromosome 10 under 0 µM NH4 + level detected in RM474-RM216 was colocated with QTL for relative biomass and nitrogen response (Lian et al 2005;Wei et al 2012). The QTL, qRW8 shared the similar location with a QTL for nitrogen response (Cho et al 2007;Obara et al 2010;Zhao et al 2014).…”

Section: Discussionmentioning

confidence: 91%

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QTL Mapping of Rice Root Traits at Different NH4+ Levels in Hydroponic Condition

Kim¹,

Kim²,

Kang³

et al. 2015

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.Plant Breed. Biotech. 2015 (September) . Seven chromosomal regions were found to be involved in root elongation. The qRW6 QTL detected on the long-arm of chromosome 6 promoted root weight and the 'Moroberekan' allele at this QTL was associated with enhanced root weight at 250 µM NH4 + concentration. The Moroberekan alleles were beneficial at all loci except for qRW4 at which the Ilpumbyeo allele increased root weight under 0, 250 and 500 µM NH4 + . A field trial was conducted for selected four ILs to know whether the introgressed Moroberekan segments harboring the beneficial QTL were associated with effects on other agronomic traits. No significant difference was detected between four ILs and Ilpumbyeo for days to heading and culm length. Two lines showed significant difference from Ilpumbyeo in spikelets per panicle and 1,000 grain weight, and the difference might be attributed to the Moroberekan segment on chromosome 6. Our QTL results indicate that the Moroberekan introgression on chromosome 6 flanked by RM162-RM3430 has the potential to enhance root traits and yield potential in the temperate japonica background.

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Section: Discussionsupporting

confidence: 68%

Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 91%

See 1 more Smart Citation

QTL Mapping of Rice Root Traits at Different NH4+ Levels in Hydroponic Condition

Kim¹,

Kim²,

Kang³

et al. 2015

Plant Breed. Biotech.

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“…This has been found in accordance with and hence justifies the higher yield observed the rice genotype Krishna Hamsa, which showed higher biological as well as grain yields. In a similar study same effect of N application has been observed on grain yield by Wei et al (2012) and Li et al (2012). The GHI (Grain Harvest Index) is a useful index in evaluating treatment effects on partitioning photo assimilates to grain during reproductive growth stages and varies for different cultivars and environmental conditions.…”

Section: Discussionmentioning

confidence: 64%

Physiological evaluation of nitrogen use efficiency and yield attributes in rice (Oryza sativaL.) genotypes under different nitrogen levels

Kumar¹,

Mathpal²,

Sharma³

et al. 2015

Cereal Research Communications

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Nitrogen use efficiency, more specifically physiological nitrogen use efficiency depends primarily on management of N, one of the major essential nutrients. It is required in increased agricultural production and may possibly cause soil toxicity if fed in excess. Rate of N fertilizer application in fertile agricultural field and improved productivity in sterile soils require the improvement of NUE. A field experiment was therefore conducted to evaluate the effect of different N levels (N 0 , N 50 , N 100 and N 200 ) on rice genotypes. Vegetative plant growth was found to be reduced under N 0 while improved at N 200 level. Among the genotypes, highest PNUE (34.94) and correspondingly higher yield (7.15 ton ha -1 ) was observed for Krishna Hamsa. The other traits viz. plant height, no. of productive tillers and LAI exhibited higher values for Krishna Hamsa as well. Hence these can be utilized as physiological markers for the selection of rice genotypes efficient in N use.

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“…Temperature increase by 1 С leads to decrease in yields by more than 10 % [14,15]. Due to sea level rise expansion of territories with salinized soils is forecasted [16][17][18]. Thus, not only potential productivity shall be improved, but stability of yields and comprehensive stress resistance shall also be ensured in order to increase the crop production [19,20].…”

Section: Introductionmentioning

confidence: 99%

APPLICATION OF MULTIDIMENSIONAL METHODS TO SEPARATE VARIETIES ON their response TO ENVIRONMENT FACTORS

Kharitonov¹,

Goncharova²,

Ochkas³

et al. 2017

S-h. biol.

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A b s t r a c tTill now, the areas under rice crops are mostly occupied with the limited number of varieties. For enriching genetic biodiversity, it is necessary to improve selection of unique rice genotypes, and provide ecologically-based location of each variety. Now the efficiency of breeding is decreasing because of incomplete characterization of potentially donor genotypes. Presently, the domestic standards for competitive state trail do not cover a detailed study of the samples, since the developed varieties are tested at a single level of mineral nutrients with no estimation of a response to stressful influences and yield production sustainability. That leads to rejection of those highly productive samples for which such conditions are not optimal. In the present work we firstly summarized methods to comprehensively characterize adaptive plasticity of rice plants under contrast conditions (i.e. different dates for planting, various levels of mineral nutrition and stressors). In a multifactorial experiment with 19 combinations of the factors tested, we investigated yield variability in 24 Russian rice (Oryza sativa L.) varieties. The samples were planted on April 15, May 15, or June 15 and grown at optimum (N 120 P 60 K 60 ) and excess (N 240 P 120 K 120 ) fertilizer rates, in thin and dense crops (200 or 300 plants per square meter, respectively), under artificial salinization (0.35 % NaCl added to the soil at tillering). The data were processed using cluster and discriminant analysis. The multidimensional statistical methods allow us to clasterize the varieties into four groups with the closest characteristics as influenced by the full set of studied factors, and then to allocate distinct factors for the most precise discrimination between the samples. A standard cultivation was found to be less effective for developing plant plasticity. It is more correct to compare samples when the conditions are favorable for plant performance and productivity potential. Stresses, in combination with favorable factors, contribute to an increase in trait variability and dispersion, resulting in more accurate dividing varieties into groups. In our case study, with the use of «step-by-step analysis back» module we reduced the number of discriminating factors to two ones adequate for 100 % reliable allocation of typical representatives of the groups. High mineral levels and water deficit were enough to truly classify 88 % of the samples. This is sufficient in genetic research where it is necessary to select the most typical representatives. Samples of the groups 1 and 3 have been classified correctly, and only three varieties of the group 2 have got to another cluster. The discriminant analysis also shows distance of each variety from the center of the group. Samples with the minimum distance are the most typical representatives which can be used as genetic sources of desired traits, as contrast parental forms in hybridization, or involved in marker-assisted selection and GTL mapping. Early planting, dense crops, high fer...

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QTL mapping for nitrogen-use efficiency and nitrogen-deficiency tolerance traits in rice

Cited by 80 publications

References 30 publications

QTL Mapping of Rice Root Traits at Different NH4+ Levels in Hydroponic Condition

QTL Mapping of Rice Root Traits at Different NH4+ Levels in Hydroponic Condition

Physiological evaluation of nitrogen use efficiency and yield attributes in rice (Oryza sativaL.) genotypes under different nitrogen levels

APPLICATION OF MULTIDIMENSIONAL METHODS TO SEPARATE VARIETIES ON their response TO ENVIRONMENT FACTORS

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