Comparative Efficacy of Different Rice (Oryza sativa L.) Genotypes for Improved Zinc and Iron Uptake and Relevant Yield Efficiency under their Foliar Application

被引:0
作者
Memon, Shafiq ur Rahman [1 ,2 ]
Memon, Saima Parveen [3 ]
Qasim, Muhammad [4 ,5 ]
Huang, Huagang [1 ]
Mustafa, Abd El-Zaher M. A. [6 ]
Elshikh, Mohamed S. [6 ]
Iqbal, Rashid [5 ,7 ]
Zheng, Zicheng [1 ]
机构
[1] Sichuan Agr Univ, Coll Resources, Chengdu 611130, Sichuan, Peoples R China
[2] Govt Sindh, Agr Extens, Agr Supply & Prices Dept, Karachi, Pakistan
[3] Yangzhou Univ, Key Lab Crop Cultivat & Tillage, Agr Coll, Yangzhou 225009, Peoples R China
[4] Huazhong Agr Univ, Coll Resources & Environm, Microelement Res Ctr, Wuhan 430070, Hubei, Peoples R China
[5] Western Caspian Univ, Dept Life Sci, Baku, Azerbaijan
[6] King Saud Univ, Coll Sci, Dept Bot & Microbiol, PO 2455, Riyadh 11451, Saudi Arabia
[7] Islamia Univ Bahawalpur, Fac Agr & Environm, Dept Agron, Bahawalpur 63100, Pakistan
关键词
Foliar application; Genotypes; Hidden hunger; Iron; Rice; Zinc; BIOFORTIFICATION; PLANT;
D O I
10.1007/s42729-025-02567-w
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Over half of the world's population relies on rice for their daily diet and suffers from hidden hunger. This study aimed to enhance zinc (Zn) and iron (Fe) concentrations in rice grains through biofortification strategies, evaluating the impact of foliar Zn and Fe applications on various rice genotypes. Pot experiment was conducted using eleven different rice genotypes and consisted of two different treatments where foliar application of Zn (0.5% w/v) and Fe (0.2% w/v) at the flowering and booting stages were compared with control (no Zn and Fe application). Pots were arranged by following completely randomized design (CRD) under 2-factor factorial arrangement. The efficiency indices for Zn and Fe grain yield and their uptake efficiencies were measured to classify genotypes based on their responsiveness and efficiency under low Zn and Fe levels (control). Zn and Fe grain yield efficiency indices ranged from 94.3 to 70.5% and 86.6 to 35.3%, respectively, while their uptake efficiencies were 75.0 to 43.9% for Zn and 72.6 to 37.1% for Fe. Genotypes ZJ-34, ZJ-11, and ZJ-14 were "efficient and responsive," while ZJ-23 and ZJ-19 were "efficient and non-responsive" for Zn. YR-28, ZJ-29, and ZJ-26 were "inefficient and responsive," and YR-3, YR-5, and YR-7 were "inefficient and non-responsive." Similar classifications were observed for Fe, with genotypes such as ZJ-11 and ZJ-34 showing superior performance. Efficient genotypes (e.g., ZJ-11 and ZJ-34) exhibited better performance under control and responded positively to fertilization, underscoring their potential in biofortification. Additionally, genetic modifications could integrate traits from inefficient but responsive genotypes, contributing to sustainable solutions for combating hidden hunger.
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页数:11
相关论文
共 35 条
[1]  
Bhanvadia AS., 2023, Int J Plant Soil Sci, V35, P1116, DOI [10.9734/IJPSS/2023/v35i183378, DOI 10.9734/IJPSS/2023/V35I183378]
[2]   Individual versus Combinatorial Effects of Silicon, Phosphate, and Iron Deficiency on the Growth of Lowland and Upland Rice Varieties [J].
Chaiwong, Nanthana ;
Prom-u-Thai, Chanakan ;
Bouain, Nadia ;
Lacombe, Benoit ;
Rouached, Hatem .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2018, 19 (03)
[3]  
Cochran W.G., 1957, Experimental designs, V2nd
[4]   Effect of Phosphorus, Iron, Zinc, and Their Combined Deficiencies on Photosynthetic Characteristics of Rice (Oryza sativa L.) Seedlings [J].
Gao, Dapeng ;
Ran, Cheng ;
Dang, Kun ;
Wang, Xiaolei ;
Zhang, Yunhe ;
Geng, Yanqiu ;
Liu, Shuying ;
Guan, Zhengwen ;
Guo, Liying ;
Shao, Xiwen .
AGRONOMY-BASEL, 2023, 13 (06)
[5]   SELECTING ZINC-EFFICIENT CEREAL GENOTYPES FOR SOILS OF LOW ZINC STATUS [J].
GRAHAM, RD ;
ASCHER, JS ;
HYNES, SC .
PLANT AND SOIL, 1992, 146 (1-2) :241-250
[6]   Agronomic biofortification of cereals and legumes with iron, zinc, calcium and magnesium for food and nutrition security: Available options for farmers in Sub-Saharan Africa [J].
Hotegni, Nicodeme V. Fassinou ;
Sohindji, Fernand S. ;
Salaou, Mouizz A. B. ;
Agbandou, Pinawe C. ;
Azonhoumon, Leocade W. S. ;
Tchokponhoue, Dedeou ;
Houdegbe, Carlos ;
Adje, Charlotte A. O. ;
Achigan-Dako, Enoch G. .
JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2024, 18
[7]   Down regulation of a heavy metal transporter gene influences several domestication traits and grain Fe-Zn content in rice [J].
Kappara, Saivishnupriya ;
Neelamraju, Sarla ;
Ramanan, Rajeshwari .
PLANT SCIENCE, 2018, 276 :208-219
[8]   Iron Deficiency Leads to Chlorosis Through Impacting Chlorophyll Synthesis and Nitrogen Metabolism in Areca catechu L. [J].
Li, Jia ;
Cao, Xianmei ;
Jia, Xiaocheng ;
Liu, Liyun ;
Cao, Haowei ;
Qin, Weiquan ;
Li, Meng .
FRONTIERS IN PLANT SCIENCE, 2021, 12
[9]   How much can Zn or Fe fertilization contribute to Zn and Fe mass concentration in rice grain? A global meta-analysis [J].
Liu, Lu ;
Cong, Wen-Feng ;
Suter, Bruno ;
Zhang, Fusuo ;
van der Werf, Wopke ;
Stomph, Tjeerd Jan .
FIELD CROPS RESEARCH, 2023, 301
[10]   Assessment of macro, trace and toxic element intake from rice: differences between cultivars, pigmented and non-pigmented rice [J].
Liu, Xingyong ;
Li, Qian ;
Yin, Benlin ;
Yan, Hongmei ;
Wang, Yunmei .
SCIENTIFIC REPORTS, 2024, 14 (01)