Trace Element Management in Rice

Sebastian, Abin; Prasad, M.N.V.

doi:10.3390/agronomy5030374

Cited by 39 publications

(15 citation statements)

References 180 publications

(154 reference statements)

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“…The chemicals persist in soil particles, agricultural residues, irrigation water and migrates into the different layers of soils turns into a serious threat to the ecosystem. Leaching of synthetic pesticides, abrupting soil-pest, soil-microbe activities, algal blooms formation, eutrophication, altering soil physiochemical properties [ 159 ], and salt toxicity via creating salt buildup in soil [ 160 ].…”

Section: Time To Switch Toward More Sustainabilitymentioning

confidence: 99%

Smart nanomaterial and nanocomposite with advanced agrochemical activities

et al. 2021

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Conventional agriculture solely depends upon highly chemical compounds that have negatively ill-affected the health of every living being and the entire ecosystem. Thus, the smart delivery of desired components in a sustainable manner to crop plants is the primary need to maintain soil health in the upcoming years. The premature loss of growth-promoting ingredients and their extended degradation in the soil increases the demand for reliable novel techniques. In this regard, nanotechnology has offered to revolutionize the agrotechnological area that has the imminent potential over conventional agriculture and helps to reform resilient cropping systems withholding prominent food security for the ever-growing world population. Further, in-depth investigation on plant-nanoparticles interactions creates new avenues toward crop improvement via enhanced crop yield, disease resistance, and efficient nutrient utilization. The incorporation of nanomaterial with smart agrochemical activities and establishing a new framework relevant to enhance efficacy ultimately help to address the social acceptance, potential hazards, and management issues in the future. Here, we highlight the role of nanomaterial or nanocomposite as a sustainable as well stable alternative in crop protection and production. Additionally, the information on the controlled released system, role in interaction with soil and microbiome, the promising role of nanocomposite as nanopesticide, nanoherbicide, nanofertilizer, and their limitations in agrochemical activities are discussed in the present review.

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Section: Time To Switch Toward More Sustainabilitymentioning

confidence: 99%

Smart nanomaterial and nanocomposite with advanced agrochemical activities

et al. 2021

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“…The accumulation lies on its soil ion availability, root uptake efficiency, shoot translocation, and seeds' storage (Grusak 1999;Olsen and Palmgren, 2014). Micronutrients in the grains is important to humans since Cu deficiency leads to skeletal defects, Fe deficiency leads to anemia, Mn deficiency leads to tremors and stiff muscles and Zn deficiency leads to dwarfness and infertility (Sebastian and Prasad, 2015). GV based on grains, therefore, is vital for rice research.…”

Section: Fig 2 Correlation Analysis Showed the Relationship Of The Ei...mentioning

confidence: 99%

Genetic variation in twenty Philippine traditional rice varieties

Cantila

Quitel

2020

Bangladesh J. Sci. Ind. Res.

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The study of genetic variation (GV) in 20 Philippine traditional rice varieties (TRVs) were determined in grain morphology such as length (Gl), width (Gwd), and weight (Gwt), grain yield (Gy), and grain micronutrients such as copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn). Analysis of variance obtained highly significant GV among TRVs in all traits. The mean for Gl, Gwd, Gwt, Gy, Cu, Fe, Mn, and Zn contents was 8.56mm, 2.8mm, 20.01g, 2.13t/ha, 8.64ppm, 14.56ppm, 20.79ppm, and 30.26ppm, respectively. The micronutrients in TRVs followed an order as Zn > Mn > Fe > Cu. For the correlation in traits, 11 pairs were significantly correlated; however, only Mn and Zn content in grains was positively and strongly correlated. Other significant pairs were either in positive or negative and moderately correlated. Cluster analysis, on the other hand, revealed five clusters and showed distinct TRV in two clusters. In conclusion, the presence of higher grain micronutrient content in TRVs indicatesa better opportunity for breeders to determine parental genetic resource in breeding rice with high grain micronutrients. Bangladesh J. Sci. Ind. Res.55(1), 35-42, 2020

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“…Besides dietary energy and proteins, it also contains trace elements (Li, B, Al, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr., Mo, Cd, Ba, Pb, and Bi) in low amounts [73]. Some of these trace elements Se, Mo, Cr, Mn, Fe, Co, Cu, Zn are micronutrients that help in proper functioning of human biological systems, while nonessential heavy elements such as Pb, As, Cd, Hg are referred as toxins for consumption [73,74]. However, the trace elements in rice are invariably increasing either due to the use of agrochemicals or irrigation with contaminated water.…”

Section: Transcriptome Data For Trace Element Stressmentioning

confidence: 99%

Transcriptome Analysis for Abiotic Stresses in Rice (Oryza sativa L.)

Kumar¹,

Dash²

2019

Transcriptome Analysis

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Rice, a model monocot system, belongs to the family Poaceae and genus Oryza. Rice is the second largest produced cereal and staple food crop fulfilling the demand of half the world's population. Though rice demand is growing exponentially, its production is severely affected by variable environmental changes. The various abiotic factors drastically reduce the rice plant growth and yield by affecting its different growth stages. To fulfill the growing demand of rice, it is imperative to understand its molecular responses during stresses and to develop new varieties to overcome the stresses. Earlier, the microarray experiments have been used for the identification of coexpressive gene networks during various conditions in crop plants. Though the microarray experiments provided very useful information, the unviability of genomewide information did not provide complete information about the regulatory gene networks involved in the stress response. The advancement of molecular techniques provided breakthrough to understanding the complex regulatory gene networks and their signaling pathways during stresses. The high-throughput RNA sequencing data have opened the floodgate of transcriptome data in rice. Here we have summarized some of the transcriptome data for abiotic molecular responses in rice, which further help to understand their complex regulatory mechanism.

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Trace Element Management in Rice

Cited by 39 publications

References 180 publications

Smart nanomaterial and nanocomposite with advanced agrochemical activities

Smart nanomaterial and nanocomposite with advanced agrochemical activities

Genetic variation in twenty Philippine traditional rice varieties

Transcriptome Analysis for Abiotic Stresses in Rice (Oryza sativa L.)

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