Smrutishree Sahoo
@giet.edu
GIET UNIVERSITY, GUNUPUR
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Rinny Swain, Mamata Behera, Smrutishree Sahoo, and Gyana Ranjan Rout
Springer Science and Business Media LLC
Sudha Mathpal, Rashmi Joshi, Bhagyashree Bhatt, Smrutishree Sahoo, and Sneha Joshi
Agricultural Research Communication Center
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.
Anil Kumar, N.K. Sharma, Ravindra Kumar, Sanjay Kumar Sanadya, and Smrutishree Sahoo
Agricultural Research Communication Center
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.
Anil Kumar, NK Sharma, Ravindra Kumar, Sanjay Kumar Sanadya, Smrutishree Sahoo, and Mukesh Kumar Yadav
The Indian Society of Agronomy
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.
Prabhat Singh, Mukesh Kumar Karnwal, Smrutishree Sahoo, Shankarappa Varalakshmi, Shriya Adhikari, and Narendra Kumar Singh
Springer Science and Business Media LLC
Shankarappa Varalakshmi, Smrutishree Sahoo, Narendra Kumar Singh, Navneet Pareek, Priya Garkoti, Velmurugan Senthilkumar, Shruti Kashyap, Jai Prakash Jaiswal, Sherry Rachel Jacob, and Amol N. Nankar
MDPI AG
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.
Rinny Swain, Smrutishree Sahoo, Mamata Behera, and Gyana Ranjan Rout
Frontiers Media SA
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.
Pusarla Susmitha, Pawan Kumar, Pankaj Yadav, Smrutishree Sahoo, Gurleen Kaur, Manish K. Pandey, Varsha Singh, Te Ming Tseng, and Sunil S. Gangurde
Frontiers Media SA
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.
N.K. Singh, Anjali Joshi, Smrutishree Sahoo, Mahak Tufchi, and Sujay Rakshit
Elsevier
Smrutishree Sahoo, Sneha Adhikari, Anjali Joshi, and Narendra Kumar Singh
Springer Science and Business Media LLC
N. K. Singh, Anjali Joshi, Smrutishree Sahoo, and Birendra Prasad
Springer Singapore