QTL Validation for Grain Yield and Nitrogen Use Efficiency Under Different Nitrogen Levels in Rice

Abdelrahman, Mohamed; El-Denary, M. E.; Ammar, Megahed H.; Abdelkhalik, A. F.; Draz, A. E.; Dora, S. A.

doi:10.21608/ejgc.2015.9714

Cited by 5 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, great attention has been paid to sustainable cultivation. It mainly focuses on reaching the maximum yield potential of a genotype with a lower input of water, chemical fertilizers, and pesticides [ 4 , 15 ].…”

Section: Discussionmentioning

confidence: 99%

“…The recovery efficiency of nitrogen fertilizer in rice amounted to 30–39%, and the nitrogen use efficiency decreases with the increase in the applied nitrogen [ 3 ]. N application losses contribute to soil deterioration, groundwater pollution, and emissions of ammonia and greenhouse gases [ 4 , 5 ]. Accordingly, for rice production sustainability that is less harmful to the environment, it is necessary to identify the superior genotypes under low application of N-fertilizer.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics

Abdelrahman

Alharbi

El-Denary

et al. 2022

Plants

View full text Add to dashboard Cite

Sustainable agriculture is a prerequisite for food and environmental security. Chemical fertilization, especially nitrogenous fertilization, is considered the most consumed for field crops. In rice crops, plants consume much less than half of the applied N-fertilizer. In the current investigation, multiple N environments were generated by applying different N doses of urea fertilizer to a permanent transplanted field for two successive summer growing seasons at a rice research and training center, Kafrelsheikh, Egypt. A set of 55 genotypes consisting of 25 Jabonica, 4 Tropical Japonica, 20 Indica, and 6 Indica/Japonica were transplanted under no N (0N), Low N (LN), medium N (MN), and High N (HN) (i.e., 0, 48, 96, and 165 Kg N ha−1, respectively). Highly significant differences were detected among the tested genotypes. AMMI analysis of variance revealed the existence of the genotype via nitrogen interaction (GNI) on yield performance. The GNI principal components (IPCA) IPCA1 and IPCA2 scores were significant and contributed values of 71.1 and 21.7, respectively. The highest-ranked genotypes were MTU1010, IR22, SK2046, SK2058, IR66, and Yabani LuLu based on their grain yield means (30.7, 29.9, 29.5, 29.3, 28.8, and 28.5 g plant−1). These genotypes were grouped into the same SCL according to the stability analysis ranking matrix. Based on AMMI analysis and biplots, MTU1010 and Yabani LuLu showed yield stability across environments. Meanwhile, the which-won-where biplot showed that IR22 was superior under unfavorable N-levels and MTU1010 was stable across the different environments. These findings are considered to be of great importance to breeders for initiating low-nitrogen-input breeding programs for sustainable agriculture.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics

Abdelrahman

Alharbi

El-Denary

et al. 2022

Plants

View full text Add to dashboard Cite

show abstract

“…Single marker analysis was performed using the seven polymorphic markers to test marker-trait association and to identify alleles that could be associated with GY under water-shortage stress. Single maker analysis has been used for QTL analysis and is performed to assess the association between the SMA marker and the target trait [ 41 , 42 , 43 ]. In the current study, a high association was revealed between the GY under water shortage and the markers RM242, RM257, and RM410 which are closely linked to the QTL on chromosome 9.…”

Section: Discussionmentioning

confidence: 99%

“…The resulting genotypic data was combined with the phenotypic information to test marker–trait association against the female allele using single marker analysis methods. The SMA was performed using regression analysis [ 41 , 43 ] SPSS Version 17 (SPSS Inc., Chicago, IL, USA) following this model: Y = μ + f (marker) + error. Where Y is equal to the trait value, µ is equal to the population mean, and f (marker) is a function of the molecular marker [ 48 ].…”

Section: Methodsmentioning

confidence: 99%

Developing Novel Rice Genotypes Harboring Specific QTL Alleles Associated with High Grain Yield under Water Shortage Stress

Abdelrahman

Selim

Elsayed

et al. 2021

Plants

View full text Add to dashboard Cite

Rice is considered a strategic crop for many countries around the world, being the main cash crop for farmers. Water shortage stress occurrence as a result of climate change is among the main threats challenging rice breeders in the last few decades. In the current study, 19 Fn-lines were developed from four populations by crossing a reverse thermo-responsive genic male sterile (rTGMS) line, M.J.5460S, with the three high-quality Egyptian commercial cultivars Giza177, Sakha105, Sakha106 and the promising line GZ7768 as male parents. These newly developed lines, along with their parents, and two water shortage stress-tolerant international genotypes (Azucena and IRAT170), were cultivated under water-shortage stress conditions and compared with their performance under well-watered conditions. Results indicated that the yielding ability of the 19 newly developed lines exceeded those for the two Egyptian parents (Giza177 and Sakha105) under well-watered conditions. The lines M.J5460S/GIZA177-3 and M.J5460S/GIZA177-12 were the best performing genotypes under water shortage stress conditions. The genetic and heritability in broad sense estimates indicated that direct selection for grain yield (GY) under water-shortage stress is highly effective in the current study. Molecular marker analysis revealed that M.J5460S/GIZA177-3 had accumulated the quantitative trait loci (QTL)s, on the chromosomes 2, 3, and 9, which contribute to GY under water-shortage stress from their high yielding tolerant ancestor, M.J5460S. It could be concluded that those lines are high yielding under both well-watered and water-stress conditions harboring several QTLs for yield enhancement under both conditions and that the markers RM555, RM14551, RM3199, RM257, RM242, and RM410 are among the markers that could be used in marker-assisted selection (MAS) breeding programs for such stress condition.

show abstract

Genome Editing and Rice Grain Quality

Abdelrahman

Zhao

2020

The Future of Rice Demand: Quality Beyond Productivity

View full text Add to dashboard Cite

QTL Validation for Grain Yield and Nitrogen Use Efficiency Under Different Nitrogen Levels in Rice

Cited by 5 publications

References 15 publications

Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics

Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics

Developing Novel Rice Genotypes Harboring Specific QTL Alleles Associated with High Grain Yield under Water Shortage Stress

Genome Editing and Rice Grain Quality

Contact Info

Product

Resources

About