Search Results - Riar, Amritbir

Assessing the efficacy of using mobile kraal-based manure fertilisation to improve sorghum productivity in semi-arid Zimbabwe by Moyo, Martin, Dube, Farayi, Magaisa, Alec, Riar, Amritbir

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Agro‐morphological and nutritional assessment of chenopod and quinoa germplasm—Highly adaptable potential crops by Bhardwaj, Rakesh, Yadav, Rashmi, Vishwakarma, Harinder, Sharma, Kriti, Chandora, Rahul, Rana, Jai Chand, Riar, Amritbir

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A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm by Padhi, Siddhant Ranjan, John, Racheal, Tripathi, Kuldeep, Wankhede, Dhammaprakash Pandhari, Joshi, Tanay, Rana, Jai Chand, Riar, Amritbir, Bhardwaj, Rakesh

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NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering by Singh, Naseeb, Kaur, Simardeep, Ranjan Padhi, Siddhant, John, Racheal, Shruti, Kumar, Amit, Rana, Jai Chand, Bhardwaj, Rakesh, Riar, Amritbir

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Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using... by Kaur, Simardeep, Singh, Naseeb, Dagar, Preety, Kumar, Amit, Jaiswal, Sandeep, Singh, Binay K., Bhardwaj, Rakesh, Chand Rana, Jai, Riar, Amritbir

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Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in Lablab Bean (Lablab purpureus L.) Germplasm by Kaur, Simardeep, Singh, Naseeb, Nongbri, Ernieca L., T, Mithra, Verma, Veerendra Kumar, Kumar, Amit, Joshi, Tanay, Rana, Jai Chand, Bhardwaj, Rakesh, Riar, Amritbir

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NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning by Kaur, Simardeep, Singh, Naseeb, Tomar, Maharishi, Kumar, Amit, Godara, Samarth, Padhi, Siddhant Ranjan, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay K., Riar, Amritbir

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Biochemical and agro-morphological traits-based mining for Malt Barley Germplasm by Khera, Shakti, Kumar, Prakash, Tripathi, Shashi Bhushan, Jacob, Sherry Racheal, Kumar, Dinesh, Singh, Charan, Bhardwaj, Rakesh, Ahlawat, Sudhir Pal, Rana, Jai Chand, Riar, Amritbir

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Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm by Padhi, Siddhant Ranjan, John, Racheal, Bartwal, Arti, Tripathi, Kuldeep, Gupta, Kavita, Wankhede, Dhammaprakash Pandhari, Mishra, Gyan Prakash, Kumar, Sanjeev, Rana, Jai Chand, Riar, Amritbir, Bhardwaj, Rakesh

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Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.) by Kaur, Simardeep, Godara, Samarth, Singh, Naseeb, Kumar, Amit, Pandey, Renu, Adhikari, Sneha, Jaiswal, Sandeep, Singh, Sanjeev Kumar, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay Kumar, Riar, Amritbir

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Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.) by Kaur, Simardeep, Godara, Samarth, Singh, Naseeb, Kumar, Amit, Pandey, Renu, Adhikari, Sneha, Jaiswal, Sandeep, Singh, Sanjeev Kumar, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay Kumar, Riar, Amritbir

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A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation by Thirumalai, Mithraa, Sharma, Vinod K., Tripathi, Kuldeep, Jain, Antil, Angirekula, Udaya Bhanu, Ali, Sharik, Rajkumar, S., Wankhede, Dhammaprakash Pandhari, Bollinedi, Haritha, Yadav, Rashmi, Bhardwaj, Rakesh, Rana, Jai Chand, Riar, Amritbir

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Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling by Kumari, Manju, Padhi, Siddhant Ranjan, Arya, Mamta, Yadav, Rashmi, Latha, M, Pandey, Anjula, Singh, Rakesh Kumar, Bhardwaj, Chellapilla, Kumar, Atul, Rana, Jai Chand, Bhatt, Kailash C, Bhardwaj, Rakesh, Riar, Amritbir

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Near-infrared reflectance spectroscopy (NIRS): An innovative, rapid, economical, easy and non-destructive whole grain analysis method for nutritional profiling of pearl millet geno... by Yadav, Sunaina, Tomar, Maharishi, Singhal, Tripti, Joshi, Nilesh, Bhargavi, H. A., Aavula, Naveen, Langyan, Sapna, Joshi, Tanay, Satyavathi, C Tara, Rana, Jai Chand, Singh, Sumer Pal, Bhardwaj, Rakesh, Riar, Amritbir

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Nutritional potential of adzuki bean germplasm and mining nutri-dense accessions through multivariate analysis by Deepika, D.D., Padhi, Siddhant Ranjan, Gore, Padmavati G., Tripathi, Kuldeep, Katral, Ashvinkumar, Chandora, Rahul, Abhishek, G. J., Kondal, Vishal, Singh, Rakesh, Bharadwaj, Rakesh, Bhatt, Kailash C., Rana, Jai Chand, Riar, Amritbir

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Unveiling diversity for quality traits in the Indian landraces of Horsegram [Macrotyloma uniflorum (Lam.) Verdc.] by Kumari, Manju, Padhi, Siddhant Ranjan, Chourey, Sushil Kumar, Kondal, Vishal, Thakare, Swapnil S., Negi, Ankita, Gupta, Veena, Arya, Mamta, Yasin, Jeshima Khan, Singh, Rakesh, Bharadwaj, Chellapilla, Kumar, Atul, Bhatt, Kailash Chandra, Bhardwaj, Rakesh, Rana, Jai Chand, Joshi, Tanay, Riar, Amritbir

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Citizen science informs demand-driven breeding of opportunity crops by Voss, Rachel C., De Sousa, Kaue, N'Danikou, Sognigbé, Shango, Abdul, Aglinglo, Lys Amavi, Laporte, Marie-Angelique, Legba, Eric C., Houdegbe, Aristide Carlos, Diarra, Danfing dit Youssouf, Dolo, Aminata, Sidibe, Amadou, Ouedraogo, Colette Ouidyam, Coulibaly, Harouna, Achigan-Dako, Enoch G., Kileo, Aishi, Malulu, Dickson, Matumbo, Zamira, Dinssa, Fekadu, van Heerwaarden, Joost, Van Etten, Jacob, Riar, Amritbir, van Zonneveld, Maarten

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