Smrutishree Sahoo

@giet.edu

GIET UNIVERSITY, GUNUPUR

Smrutishree Sahoo


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https://researchid.co/sssahoo
15

Scopus Publications

406

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Stability Indices, AMMI and GGE Biplots Analysis of Forage Oat Germplasm Under Variable Growing Regimes in the Northwestern Himalayas
    Sanjay Kumar Sanadya, Vinod Kumar Sood, Sawan Kumar, Gaurav Sharma, Rhitisha Sood, Gopal Katna, Muluken Enyew, Smrutishree Sahoo
    Agricultural Research, 2026
  • Nanoscience in Plant Stress Mitigation: A Comprehensive Review
    Rinny Swain, Mamata Behera, Smrutishree Sahoo, Gyana Ranjan Rout
    Bionanoscience, 2025
    Abiotic and biotic stresses remain critical challenges in agricultural productivity. Recent technological advancements, particularly in nanoscience, offer promising avenues to mitigate these challenges and enhance sustainable crop production. This review explores the applications of gold, copper, silicon, silver, and zinc nanoparticles (NPs) in agriculture, focusing on their roles as nanofertilizers, herbicides, pesticides, fungicides, insecticides, and weed management. Additionally, NPs are utilized as biosensors for nutrient and contaminant detection, effectively addressing biotic and abiotic stresses in plants. Silica-based nanocomposites have effectively reduced pest damage while promoting chlorophyll content, photosynthesis parameters, and seedling vigor. Nanosilicon demonstrates superior absorption efficiency compared to traditional silicon fertilizers, enhancing plant nutrient uptake and shoot growth. SiNPs have dominant illuminations and are required for immunosensor applications. It has antimicrobial properties because of its large surface area. Moreover, silicon influences gene expression (e.g., Lsi1, Lsi2, and Lsi6) and biochemical pathways crucial for crop improvement under stress conditions. Agro-based nanotechnology emerges as a pivotal tool to manage diverse stresses in agriculture, paving the way for a sustainable future and ensuring global food security. This comprehensive review underscores the transformative potential of NPs in agriculture and advocates for their responsible application to maximize benefits while minimizing environmental impacts.
  • Stability of grain yield of pre-commercial maize (Zea mays L.) hybrids in rainfed ecosystems of South Asia
    Maydica, 2025
  • Randomly Amplified Polymorphic DNA (RAPD) Molecular Markers as a Valuable Tool to Confirm the Genetic Diversity in Soybean Germplasms (Glycine max)
    Sudha Mathpal, Rashmi Joshi, Bhagyashree Bhatt, Smrutishree Sahoo, Sneha Joshi
    Indian Journal of Agricultural Research, 2024
    Background: This study was performed to understand the genetic base of soybean which mainly focused to assess the diversity among sixteen soybean germplasms namely (AMS 100-39, BAUS 102, DS 3108, DSB 34, MACS 1493, NRC 128, NRC 130, NRC 131, NRC 132, NRC 136, NRC 137, NRC SL 1, PS 1613, RSC 11-03, RSC 11-07 and SKF SP-11) with two cultivated checks (JS-335 and Bragg). Methods: The genomic isolation was carried out using CTAB buffer and the diversity was estimated with the help of nine RAPD markers using percent polymorphism, PIC content, Jaccard’s similarity index and represented in dendogram. Result: The banding patterns were obtained with all the primer showed a total of 59 bands, out of the which, 17 bands were monomorphic, while other are polymorphic and the amplification ranged from 100 bp to 960 bp. The range of similarity coefficients varies from 0.87 to 0.36. Out of total amplification, products were scored, averages of 70.3% were polymorphic among all genotypes. The cluster clearly divided the whole germplasms into two four groups showing the clear-cut diversity profile of all germplasms. As a result, this study is very beneficial for understanding the diversity of different soybean germplasms and the application of this technique for the development of highly profitable crops.
  • Correlation and Path Analysis Studies in Mungbean [Vigna radiata (L.) Wilczek] under Arid Environment of Western Rajasthan
    Anil Kumar, N.K. Sharma, Ravindra Kumar, Sanjay Kumar Sanadya, Smrutishree Sahoo
    Indian Journal of Agricultural Research, 2024
    Background: Mungbean is an important grain legume crop. It contains a high amount of protein, carbohydrates, vitamins and minerals. The productivity of this crop is still low, hence efforts should be made to improve the yield of mungbean by keeping knowledge about association between seed yield and its components. Thus, the present investigation was aimed to determine the correlation and path coefficient analysis for seed yield and its attributing traits in mungbean. Methods: Seventy-nine diverse genotypes of mungbean were evaluated during Kharif 2017-18 for eleven quantitative traits in randomized block design with three replications at the Experimental farm, Department of Genetics and Plant Breeding, College of Agriculture, Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan. Result: Significant genotypic differences were observed for all the traits studied indicating a considerable amount of variation among genotypes for all the characters. The seed yield per plant exhibited highly significant and positive correlation with number of pods per plant, biological yield per plant, harvest index, number of seeds per pod and pod length. The characteristics such as biological yield per plant, harvest index, number of pods per plant, pod length, number of seeds per pod, plant height, 100-seed weight and days to 50 per cent flowering had high positive direct effect on seed yield per plant. Therefore, selection based on the traits viz., number of pods per plant, biological yield per plant, harvest index, number of seeds per pod, 100-seed weight and pod length could help in enhancing the seed yield per plant in mungbean.
  • Studies on genetic variability parameters for seed yield and its component traits in mungbean [Vigna radiata (L.) Wilczek] germplasm under arid environment
    Anil Kumar, NK Sharma, Ravindra Kumar, Sanjay Kumar Sanadya, Smrutishree Sahoo, Mukesh Kumar Yadav
    Journal of Food Legumes, 2024
    Genetic variability is the most important factor for the success of any crop improvement program. Hence, the evaluation of germplasm has to be conducted as a preliminary step to study the extent of variability available in the germplasm and to identify suitable high-yielding genotypes that can be utilized in the crop improvement program. The present investigation was carried out to estimate genetic variability, heritability, and genetic advance for yield and yield contributing characters among seventy-nine diverse genotypes of mungbean for eleven quantitative traits. Significant differences were observed among genotypes for all eleven characters studied. The high degree of genetic variability along with high heritability and high genetic advance as percent of mean were recorded for seed yield per plant, number of pods per plant, harvest index, biological yield per plant, and plant height; which indicates that these characteristics were under the control of additive gene action and therefore, form the basis of selection for the mungbean improvement program.
  • Haploid-Double Haploid Technology for Accelerating Hybrid Development in Maize (Zea mays L.)
    Prabhat Singh, Mukesh Kumar Karnwal, Smrutishree Sahoo, Shankarappa Varalakshmi, Shriya Adhikari, Narendra Kumar Singh
    Tropical Plant Biology, 2023
  • Marker–Trait Association for Protein Content among Maize Wild Accessions and Coix Using SSR Markers
    Shankarappa Varalakshmi, Smrutishree Sahoo, Narendra Kumar Singh, Navneet Pareek, Priya Garkoti, Velmurugan Senthilkumar, Shruti Kashyap, Jai Prakash Jaiswal, Sherry Rachel Jacob, Amol N. Nankar
    Agronomy, 2023
    Teosinte is the closest wild ancestor of maize and is used as a valuable resource for taxonomical, evolutionary and genetic architectural studies of maize. Teosinte is also a repository of numerous diverse alleles for complex traits, including nutritional value and stress adaptation. Accessions including teosintes, maize inbred lines and coix were investigated for kernel protein and its association with DNA markers. The proposed investigation assumed that wild accessions had different genic/allelic content and consequently expression profile than modern maize because of the domestication syndrome and bottleneck effects. Total protein content in hard stony fruit case teosinte accessions were assessed from kernels with and without seed coats, while protein content from coix and maize lines was evaluated from kernels only. The accessions were also subjected to molecular profiling using 84 SSR markers, and obtained genotypic data were used for population structure and association analysis. The results emphasize that teosintes have higher protein content (18.5% to 26.29%), followed by coix (18.26%), and the least among maize lines (9% to 11%). Among teosintes, without-seed-coat samples had 3–6% higher protein content than with-seed-coat samples. When compared to other teosinte species, Z. mays subsp. mexicana accessions showed higher protein content, ranging from 18.62% to 26.29%. All evaluated accessions were divided into four subpopulations with K = 4, and seven significant (p < 0.01) marker–trait associations were seen with umc1294, umc1171, phi091, umc2182 and bnlg292 markers, which are distributed across chromosomes 4, 5, 7, 8 and 9, respectively. We have observed that the wild relatives carry protein content-enhancing alleles and can be used as productive donor parents in pre-breeding efforts to increase the protein content of maize.
  • Instigating prevalent abiotic stress resilience in crop by exogenous application of phytohormones and nutrient
    Rinny Swain, Smrutishree Sahoo, Mamata Behera, Gyana Ranjan Rout
    Frontiers in Plant Science, 2023
    In recent times, the demand for food and feed for the ever-increasing population has achieved unparalleled importance, which cannot afford crop yield loss. Now-a-days, the unpleasant situation of abiotic stress triggers crop improvement by affecting the different metabolic pathways of yield and quality advances worldwide. Abiotic stress like drought, salinity, cold, heat, flood, etc. in plants diverts the energy required for growth to prevent the plant from shock and maintain regular homeostasis. Hence, the plant yield is drastically reduced as the energy is utilized for overcoming the stress in plants. The application of phytohormones like the classical auxins, cytokinins, ethylene, and gibberellins, as well as more recent members including brassinosteroids, jasmonic acids, etc., along with both macro and micronutrients, have enhanced significant attention in creating key benefits such as reduction of ionic toxicity, improving oxidative stress, maintaining water-related balance, and gaseous exchange modification during abiotic stress conditions. Majority of phytohormones maintain homeostasis inside the cell by detoxifying the ROS and enhancing the antioxidant enzyme activities which can enhance tolerance in plants. At the molecular level, phytohormones activate stress signaling pathways or genes regulated by abscisic acid (ABA), salicylic acid (SA), Jasmonic acid (JA), and ethylene. The various stresses primarily cause nutrient deficiency and reduce the nutrient uptake of plants. The application of plant nutrients like N, K, Ca, and Mg are also involved in ROS scavenging activities through elevating antioxidants properties and finally decreasing cell membrane leakage and increasing the photosynthetic ability by resynthesizing the chlorophyll pigment. This present review highlighted the alteration of metabolic activities caused by abiotic stress in various crops, the changes of vital functions through the application of exogenous phytohormones and nutrition, as well as their interaction.
  • Genome-wide association study as a powerful tool for dissecting competitive traits in legumes
    Pusarla Susmitha, Pawan Kumar, Pankaj Yadav, Smrutishree Sahoo, Gurleen Kaur, Manish K. Pandey, Varsha Singh, Te Ming Tseng, Sunil S. Gangurde
    Frontiers in Plant Science, 2023
    Legumes are extremely valuable because of their high protein content and several other nutritional components. The major challenge lies in maintaining the quantity and quality of protein and other nutritional compounds in view of climate change conditions. The global need for plant-based proteins has increased the demand for seeds with a high protein content that includes essential amino acids. Genome-wide association studies (GWAS) have evolved as a standard approach in agricultural genetics for examining such intricate characters. Recent development in machine learning methods shows promising applications for dimensionality reduction, which is a major challenge in GWAS. With the advancement in biotechnology, sequencing, and bioinformatics tools, estimation of linkage disequilibrium (LD) based associations between a genome-wide collection of single-nucleotide polymorphisms (SNPs) and desired phenotypic traits has become accessible. The markers from GWAS could be utilized for genomic selection (GS) to predict superior lines by calculating genomic estimated breeding values (GEBVs). For prediction accuracy, an assortment of statistical models could be utilized, such as ridge regression best linear unbiased prediction (rrBLUP), genomic best linear unbiased predictor (gBLUP), Bayesian, and random forest (RF). Both naturally diverse germplasm panels and family-based breeding populations can be used for association mapping based on the nature of the breeding system (inbred or outbred) in the plant species. MAGIC, MCILs, RIAILs, NAM, and ROAM are being used for association mapping in several crops. Several modifications of NAM, such as doubled haploid NAM (DH-NAM), backcross NAM (BC-NAM), and advanced backcross NAM (AB-NAM), have also been used in crops like rice, wheat, maize, barley mustard, etc. for reliable marker-trait associations (MTAs), phenotyping accuracy is equally important as genotyping. Highthroughput genotyping, phenomics, and computational techniques have advanced during the past few years, making it possible to explore such enormous datasets. Each population has unique virtues and flaws at the genomics and phenomics levels, which will be covered in more detail in this review study. The current investigation includes utilizing elite breeding lines as association mapping population, optimizing the choice of GWAS selection, population size, and hurdles in phenotyping, and statistical methods which will analyze competitive traits in legume breeding.
  • Assessment of genetic diversity of mothbean (Vigna aconitifolia (Jacq.) Marechal) germplasm
    Journal of Food Legumes, 2022
  • Molecular breeding for improving yield in maize: Recent advances and future perspectives
    N.K. Singh, Anjali Joshi, Smrutishree Sahoo, Mahak Tufchi, Sujay Rakshit
    Qtl Mapping in Crop Improvement Present Progress and Future Perspectives, 2022
  • Use of Wild Progenitor Teosinte in Maize (Zea mays subsp. mays) Improvement: Present Status and Future Prospects
    Smrutishree Sahoo, Sneha Adhikari, Anjali Joshi, Narendra Kumar Singh
    Tropical Plant Biology, 2021
  • Variability and characters inter-relationships in accessions of sewan grass
    Range Management and Agroforestry, 2020
  • Resistance Breeding and Exploitation of Wild Relatives for New Resistance Sources
    N. K. Singh, Anjali Joshi, Smrutishree Sahoo, Birendra Prasad
    Emerging Trends in Plant Pathology, 2020

RECENT SCHOLAR PUBLICATIONS

  • Wild relatives enhance genetic resources for maize ( Zea Mays ssp. Mays ) improvement through diversity analysis
    S Sahoo, S Varalakshmi, P Singh, NK Singh, JP Jaiswal, U Pant
    Discover Plants 3 (1), 11 , 2026
    2026
  • Nanoscience in plant stress mitigation: A comprehensive review
    R Swain, M Behera, S Sahoo, GR Rout
    BioNanoScience 15 (1), 24 , 2025
    2025
    Citations: 11
  • Stability indices, AMMI and GGE biplots analysis of forage oat germplasm under variable growing regimes in the northwestern himalayas
    SK Sanadya, VK Sood, S Kumar, G Sharma, R Sood, G Katna, M Enyew, ...
    Agricultural Research, 1-10 , 2025
    2025
    Citations: 6
  • Stability of grain yield of pre-commercial maize (Zea mays L.) hybrids in rainfed ecosystems of South Asia
    P Nagesh, SA Takalkar, NK Singh, S Sahoo, A Joshi, SM Mohan, ...
    Research Centre for Cereal and Industrial Crops , 2025
    2025
  • Correlation and Path Analysis Studies in Mungbean [Vigna radiata (L.) Wilczek] under Arid Environment of Western Rajasthan.
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo
    Indian Journal of Agricultural Research 58 , 2024
    2024
    Citations: 6
  • Randomly Amplified Polymorphic DNA (RAPD) Molecular Markers as a Valuable Tool to Confirm the Genetic Diversity in Soybean Germplasms (Glycine max)
    S Mathpal, R Joshi, B Bhatt, S Sahoo, S Joshi
    Indian Journal of Agricultural Research 1, 7 , 2024
    2024
    Citations: 2
  • Studies on genetic variability parameters for seed yield and its component traits in mungbean [Vigna radiata (L.) Wilczek] germplasm under arid environment
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo, MK Yadav
    Journal of Food Legumes 37 (1), 109-113 , 2024
    2024
    Citations: 5
  • Genetic Divergence Studies in Mungbean [(L.) Vigna radiata Wilzeck] Germplasm under Arid Environment
    A Kumar, NK Sharma, R Kumar, S Sahoo, D Chandel, MK Yadav
    THE INDIAN ECOLOGICAL SOCIETY 51 (6), 1508-1513 , 2024
    2024
  • Haploid-Double Haploid Technology for Accelerating Hybrid Development in Maize ( Zea mays L.)
    P Singh, MK Karnwal, S Sahoo, S Varalakshmi, S Adhikari, NK Singh
    Tropical Plant Biology 16 (4), 244-258 , 2023
    2023
    Citations: 7
  • Marker–trait association for protein content among maize wild accessions and coix using SSR markers
    S Varalakshmi, S Sahoo, NK Singh, N Pareek, P Garkoti, V Senthilkumar, ...
    Agronomy 13 (8), 2138 , 2023
    2023
    Citations: 10
  • Genome-wide association study as a powerful tool for dissecting competitive traits in legumes
    P Susmitha, P Kumar, P Yadav, S Sahoo, G Kaur, MK Pandey, V Singh, ...
    Frontiers in Plant Science 14, 1123631 , 2023
    2023
    Citations: 63
  • Instigating prevalent abiotic stress resilience in crop by exogenous application of phytohormones and nutrient
    R Swain, S Sahoo, M Behera, GR Rout
    Frontiers in Plant Science 14, 1104874 , 2023
    2023
    Citations: 103
  • Marker–Trait Association for Protein Content among Maize Wild Accessions and Coix Using SSR Markers. Agronomy 2023, 13, 2138
    S Varalakshmi, S Sahoo, NK Singh, N Pareek, P Garkoti, V Senthilkumar, ...
    2023
    Citations: 1
  • Molecular breeding for improving yield in maize: Recent advances and future perspectives
    NK Singh, A Joshi, S Sahoo, M Tufchi, S Rakshit
    QTL Mapping in Crop Improvement, 75-99 , 2023
    2023
    Citations: 5
  • Plumule colouration as a criterion to improve the efficiency of R1-nj marker based doubled haploid breeding in maize.
    P Singh, MK Karnwal, S Sahoo, A Chauhan, NK Singh
    2022
  • Morphological characterization for leaf architecture in Teosinte (Zea mays subssp parviglumis) derived BC1 F2 population of maize
    S Varalakshmi, NK Singh, V Senthilkumar, S Sahoo, P Singh, P Garkoti
    Pantnagar Journal of Research 20 (3), 1-10 , 2022
    2022
    Citations: 2
  • Mapping rice residue burning in Punjab state using Satellite Remote Sensing 184
    M Tamta, VK Sehgal, H Bisht, P SINGH, MK KARNWAL, S SAHOO, ...
    PANTNAGAR JOURNAL OF RESEARCH 20, 2 , 2022
    2022
  • MORPHOLOGICAL DIVERGENCE AND CHARACTER ASSOCIATION FOR YIELD COMPONENTS IN SEWAN GRASS ACCESSIONS UNDER HOT ARID ECOSYSTEM OF INDIA
    SK Sanadya, SS Shekhawat, S Sahoo
    2022
  • Assessment of genetic diversity of mothbean (Vigna aconitifolia (Jacq.) Marechal) germplasm
    S Sahoo, SK Sanadya, AK Sharma, SS Shekhawat
    Journal of Food Legumes 35 (2), 95-99 , 2022
    2022
    Citations: 3
  • Sewan grass: A potential forage grass in arid environments
    SK Sanadya, SS Shekhawat, S Sahoo
    Grasses and Grassland-New Perspectives , 2021
    2021
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Instigating prevalent abiotic stress resilience in crop by exogenous application of phytohormones and nutrient
    R Swain, S Sahoo, M Behera, GR Rout
    Frontiers in Plant Science 14, 1104874 , 2023
    2023
    Citations: 103
  • Genome-wide association study as a powerful tool for dissecting competitive traits in legumes
    P Susmitha, P Kumar, P Yadav, S Sahoo, G Kaur, MK Pandey, V Singh, ...
    Frontiers in Plant Science 14, 1123631 , 2023
    2023
    Citations: 63
  • Use of wild progenitor teosinte in maize (Zea mays subsp. mays) improvement: present status and future prospects
    S Sahoo, S Adhikari, A Joshi, NK Singh
    Tropical Plant Biology 14 (2), 156-179 , 2021
    2021
    Citations: 44
  • Correlation and path analysis for seed yield and components traits in mungbean under arid environment
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo
    International Journal of Chemical Studies 6 (4), 1679-1681 , 2018
    2018
    Citations: 20
  • Estimation of the various genetic variability parameters for seed yield and its component traits in Mothbean germplasm [Vigna aconitifolia (Jacq.) Marechal]
    S Sahoo, SK Sanadya, N Kumari, B Baranda
    J. Pharmcog. Phytochem , 2019
    2019
    Citations: 17
  • Nanoscience in plant stress mitigation: A comprehensive review
    R Swain, M Behera, S Sahoo, GR Rout
    BioNanoScience 15 (1), 24 , 2025
    2025
    Citations: 11
  • Study of genetic variability parameters for seed yield and its component traits in mungbean germplasm under arid environment
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo, MK Yadav
    The Pharma Innovation 8 (4), 2308-2311 , 2020
    2020
    Citations: 11
  • Marker–trait association for protein content among maize wild accessions and coix using SSR markers
    S Varalakshmi, S Sahoo, NK Singh, N Pareek, P Garkoti, V Senthilkumar, ...
    Agronomy 13 (8), 2138 , 2023
    2023
    Citations: 10
  • Metroglyph analysis in sewan grass (Lasiurus sindicus Henr.) accessions
    SK Sanadya, SS Shekhawat, S Sahoo, A Kumar, N Kumari
    Forage Research 44 (2), 86-89 , 2018
    2018
    Citations: 10
  • Character association and path coefficient analysis in mothbean Germplasm
    S Sahoo, AK Sharma, SK Sanadya, A Kumar
    Journal of food legumes 7 (8), 833-839 , 2018
    2018
    Citations: 10
  • Resistance breeding and exploitation of wild relatives for new resistance sources
    NK Singh, A Joshi, S Sahoo, B Prasad
    Emerging trends in plant pathology, 211-247 , 2020
    2020
    Citations: 9
  • Teosinte (Zea mays subsp. parviglumis) allelic influx as a measure to enhance and strengthen diversity in maize
    S Adhikari, A Joshi, S Sahoo, NK Singh
    Maize J 9 (1), 1-9 , 2020
    2020
    Citations: 8
  • Haploid-Double Haploid Technology for Accelerating Hybrid Development in Maize ( Zea mays L.)
    P Singh, MK Karnwal, S Sahoo, S Varalakshmi, S Adhikari, NK Singh
    Tropical Plant Biology 16 (4), 244-258 , 2023
    2023
    Citations: 7
  • Sewan grass: A potential forage grass in arid environments
    SK Sanadya, SS Shekhawat, S Sahoo
    Grasses and Grassland-New Perspectives , 2021
    2021
    Citations: 7
  • Variability and inter-relationships of quantitative traits in sewan grass (Lasiurus sindicus Henr.) accessions
    SK Sanadya, SS Shekhawat, S Sahoo, A Kumar
    International Journal of Chemical Studies 6 (6), 1843-1846 , 2018
    2018
    Citations: 7
  • Influence of rotation, use of organic and inorganic sources of nutrients on growth, yield and quality of Eleusine coracana (L.) Gaertn
    PK Goudar, BK Ramachandrappa, MN Thimmegowda, S Sahoo
    Environment & Ecology 35 (3C), 2306-2311 , 2017
    2017
    Citations: 7
  • Stability indices, AMMI and GGE biplots analysis of forage oat germplasm under variable growing regimes in the northwestern himalayas
    SK Sanadya, VK Sood, S Kumar, G Sharma, R Sood, G Katna, M Enyew, ...
    Agricultural Research, 1-10 , 2025
    2025
    Citations: 6
  • Correlation and Path Analysis Studies in Mungbean [Vigna radiata (L.) Wilczek] under Arid Environment of Western Rajasthan.
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo
    Indian Journal of Agricultural Research 58 , 2024
    2024
    Citations: 6
  • Study on correlation coefficient and path coefficient analysis in the accessions of Sewan grass (Lasiurus sindicus Henr.) for green fodder yield and related traits
    SK Sanadya, S Sahoo, B Baranda, RA Sharma
    Technology , 2019
    2019
    Citations: 6
  • Studies on genetic variability parameters for seed yield and its component traits in mungbean [Vigna radiata (L.) Wilczek] germplasm under arid environment
    A Kumar, NK Sharma, R Kumar, SK Sanadya, S Sahoo, MK Yadav
    Journal of Food Legumes 37 (1), 109-113 , 2024
    2024
    Citations: 5