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Pratibha

Publications (7)

Development and Molecular Characterization of Transgenic Pigeon Pea (Cajanus cajan [L.] Millsp.) Plants Overexpressing OsLecRLK Using Agrobacterium Meditated Genetic Transformation for Salinity Stress Tolerance

Pratibha, Pushpa Kharb, Nishat Passricha, Narender Tuteja & Nirmal Singh · Journal of Experimental Agriculture International · 2025

Aim: Pigeon pea productivity is affected by various types of abiotic stresses such as salinity, drought, high and low temperatures etc. Salt stress has become the major environmental constrain which leads to yield loses. Therefore, the development of salt tolerant varieties is th...

Open access Research Article 10.9734/jeai/2025/v47i83650

Evaluation of Transgenic Pigeon pea [Cajanus cajan (L.) Millsp. cv. Manak] Plants Over-Expressing OsLecRLK Gene for Salt Stress Tolerance Through Physio-Biochemical Analysis

Pratibha, Pushpa Kharb & Nirmal Singh · International Journal of Plant & Soil Science · 2025

Aim: Abiotic stresses especially salinity and drought affect the yield of crops worldwide. The yield achieved on farmer fields and the potential yield differ significantly. Reduced agricultural yields are the result of salt stress's effects on important processes like photosynthe...

Open access Research Article 10.9734/ijpss/2025/v37i75577

Role of Cytokinin Oxidase/ Dehydrogenase in Crop Improvement

Ankit Yadav, Pratibha, Mayur Kumar Sonagara, Unnati Vaghela & Yadav , Ankit · International Journal of Environment and Climate Change · 2023

The phytohormone cytokinin regulates various crucial functions of plant growth and development such as shoot apical meristem activity, flower development, vascular development etc. and also has negative role in lateral root development and root apical meristem activity. Cytokinin...

Open access Research Article 10.9734/ijecc/2023/v13i82130

Evaluation of Cytoplasmic Male Sterile Lines and Restorer Lines in Moricandia System for Heterosis Breeding in Indian Mustard [Brassica juncea (L.) Czern & Coss.]

S. Nirma, Pratibha, R. M. Chauhan & K. K. Tiwari · International Journal of Environment and Climate Change · 2023

This study was undertaken with the objectives of Cytoplasmic Male Sterility (CMS) assessment and study of pollen fertility restoration using five Mori based Cytoplasmic Male Sterile lines viz., Mori ‘A’ SKM 109, Mori ‘A’ SKM 125, Mori ‘A’ SKM 201, Mori ‘A’ SKM 219, Mori ‘A’ SKM 3...

Open access Research Article 10.9734/ijecc/2023/v13i82051

A Review on Revolutionary Strategy for Crop Improvement: Genome Editing

Unnati Vaghela, Mayur Kumar Sonagara, Pratibha & Ankit Yadav · International Journal of Environment and Climate Change · 2023

Genome editing technology revolutionized crop improvement technology through sequence-specific, precise, site-directed, safe genetic manipulation and combat the major 21st century challenge such as achieving world food security meeting rising global food demand and improving food...

Open access Research Article 10.9734/ijecc/2023/v13i82158

Effect of Inorganic Nutrients and Biofertilizers on Growth, Yield and Soil Properties of Maize (Zea mays L.) in N-W Region of Punjab, India

Raghveer Singh, Karan Verma, Rajju Priya Soni, Pratibha & Akashdeep Singh · International Journal of Plant & Soil Science · 2023

The field experiment on “Effect of inorganic nutrients and bio fertilizers on growth and yield of Maize (Zea mays. L) in N-W region of Punjab” was carried out at the research farm of Guru Kashi University, Talwandi Sabo, Bathinda (Punjab) during kharif season 2022. The experiment...

Open access Research Article 10.9734/ijpss/2023/v35i224192

Detection and Management of Plant Disease Using Artificial Intelligence and Machine Learning Applications: A Review

Ashok Kumar Koshariya, Alok, Shivanand S. Hiremath, Rashmi Nigam, Uma Shankar, Shivangi S. Kansara, Sushmita Suman Sinha & Pratibha · Journal of Scientific Research and Reports · 2025

The detection and management of plant disease using Artificial intelligence and machine learning applications. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative technologies in plant disease detection and management, offering highly accurate, s...

Open access Research Article 10.9734/jsrr/2025/v31i32902