scholarly journals Evaluation of Diallel Crosses of Highland Adapted QPM Maize Hybrids under Optimum and Low Nitrogen Conditions

2021 ◽  
Vol 3 (2) ◽  
pp. 30-37
Author(s):  
 Tefera Kumsa ◽  
Demissew Abakemal ◽  
Dufera Tulu ◽  
Zeleke Keimiso ◽  
Habtamu Zeleke ◽  
...  
2019 ◽  
Vol 20 (23) ◽  
pp. 5893 ◽  
Author(s):  
Wei Xin ◽  
Lina Zhang ◽  
Wenzhong Zhang ◽  
Jiping Gao ◽  
Jun Yi ◽  
...  

Nitrogen is an essential nutrient for plant growth and basic metabolic processes. Root systems play an important role in the ability of plants to obtain nutrients from the soil, and are closely related to the growth and development of above-ground plants. Root morphology analysis showed that root growth was induced under low-nitrogen conditions and inhibited under high-nitrogen conditions. To better understand the molecular mechanisms and metabolic basis underlying the rice root response to nitrogen availability, an integrated analysis of the rice root transcriptome and metabolome under three environmental conditions (low-, control, and high-nitrogen conditions) was conducted. A total of 262 and 262 differentially level metabolites were identified under low- and high-nitrogen conditions, respectively. A total of 696 and 808 differentially expressed genes were identified under low- and high-nitrogen conditions, respectively. For both the differentially expressed genes and metabolites, KEGG pathway analysis indicated that amino acid metabolism, carbon and nitrogen metabolism, phenylpropanoid metabolism, and phytohormones’ signal transduction were significantly affected by nitrogen availability. Additionally, variable levels of 65 transcription factors (TFs) were identified in rice leaves exposed to high and low nitrogen, covering 22 TF families. These results also indicate that there is a significant difference in the transcriptional regulation mechanisms of rice roots between low and high nitrogen. In summary, our study provides new information for a further understanding of the response of rice roots to low-nitrogen and high-nitrogen conditions.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Nidhi Gupta ◽  
Atul K. Gupta ◽  
Vikram S. Gaur ◽  
Anil Kumar

Nitrogen responsiveness of three-finger millet genotypes (differing in their seed coat colour) PRM-1 (brown), PRM-701 (golden), and PRM-801 (white) grown under different nitrogen doses was determined by analyzing the growth, yield parameters and activities of nitrate reductase (NR), glutamine synthetase (GS), glutamate synthase; GOGAT, and glutamate dehydrogenase (GDH) at different developmental stages. High nitrogen use efficiency and nitrogen utilization efficiency were observed in PRM-1 genotype, whereas high nitrogen uptake efficiency was observed in PRM-801 genotype. At grain filling nitrogen uptake efficiency in PRM-1 negatively correlated with NR, GS, GOGAT activities whereas it was positively correlated in PRM-701 and PRM-801, however, GDH showed a negative correlation. Growth and yield parameters indicated that PRM-1 responds well at high nitrogen conditions while PRM-701 and PRM-801 respond well at normal and low nitrogen conditions respectively. The study indicates that PRM-1 is high nitrogen responsive and has high nitrogen use efficiency, whereas golden PRM-701 and white PRM-801 are low nitrogen responsive genotypes and have low nitrogen use efficiency. However, the crude grain protein content was higher in PRM-801 genotype followed by PRM-701 and PRM-1, indicating negative correlation of nitrogen use efficiency with source to sink relationship in terms of seed protein content.


2019 ◽  
Vol 243 ◽  
pp. 107625 ◽  
Author(s):  
Guang Chu ◽  
Song Chen ◽  
Chunmei Xu ◽  
Danying Wang ◽  
Xiufu Zhang

2020 ◽  
Vol 38 (3) ◽  
pp. 441-451 ◽  
Author(s):  
Ammarah Hasnain ◽  
Muhammad Irfan ◽  
Aftab Bashir ◽  
Asma Maqbool ◽  
Kauser A. Malik

Gene ◽  
2016 ◽  
Vol 576 (1) ◽  
pp. 441-450 ◽  
Author(s):  
B. Srikanth ◽  
I. Subhakara Rao ◽  
K. Surekha ◽  
D. Subrahmanyam ◽  
S.R. Voleti ◽  
...  

2009 ◽  
Vol 326 (1-2) ◽  
pp. 291-302 ◽  
Author(s):  
Wei Ming Shi ◽  
Wei Feng Xu ◽  
Su Mei Li ◽  
Xue Qiang Zhao ◽  
Gang Qiang Dong

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