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Parihar AK, Gupta S, Hazra KK, Lamichaney A, Sen Gupta D, Singh D, Kumar R, Singh AK, Vaishnavi R, Jaberson MS, Das SP, Dev J, Yadav RK, Jamwal BS, Choudhary BR, Khedar OP, Prakash V, Dikshit HK, Panwar RK, Katiyar M, Kumar P, Mahto CS, Borah HK, Singh MN, Das A, Patil AN, Nanda HC, Kumar V, Rajput SD, Chauhan DA, Patel MH, Kanwar RR, Kumar J, Mishra SP, Kumar H, Swarup I, Mogali S, Kumaresan D, Manivannan N, Gowda MB, Pandiyan M, Rao PJ, Shivani D, Prusti AM, Mahadevu P, Iyanar K, Das S. Multi-location evaluation of mungbean ( Vigna radiata L.) in Indian climates: Ecophenological dynamics, yield relation, and characterization of locations. Front Plant Sci 2022; 13:984912. [PMID: 36204050 PMCID: PMC9530336 DOI: 10.3389/fpls.2022.984912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/18/2022] [Indexed: 06/01/2023]
Abstract
Crop yield varies considerably within agroecology depending on the genetic potential of crop cultivars and various edaphic and climatic variables. Understanding site-specific changes in crop yield and genotype × environment interaction are crucial and needs exceptional consideration in strategic breeding programs. Further, genotypic response to diverse agro-ecologies offers identification of strategic locations for evaluating traits of interest to strengthen and accelerate the national variety release program. In this study, multi-location field trial data have been used to investigate the impact of environmental conditions on crop phenological dynamics and their influence on the yield of mungbean in different agroecological regions of the Indian subcontinent. The present attempt is also intended to identify the strategic location(s) favoring higher yield and distinctiveness within mungbean genotypes. In the field trial, a total of 34 different mungbean genotypes were grown in 39 locations covering the north hill zone (n = 4), northeastern plain zone (n = 6), northwestern plain zone (n = 7), central zone (n = 11) and south zone (n = 11). The results revealed that the effect of the environment was prominent on both the phenological dynamics and productivity of the mungbean. Noticeable variations (expressed as coefficient of variation) were observed for the parameters of days to 50% flowering (13%), days to maturity (12%), reproductive period (21%), grain yield (33%), and 1000-grain weight (14%) across the environments. The genotype, environment, and genotype × environment accounted for 3.0, 54.2, and 29.7% of the total variation in mungbean yield, respectively (p < 0.001), suggesting an oversized significance of site-specific responses of the genotypes. Results demonstrated that a lower ambient temperature extended both flowering time and the crop period. Linear mixed model results revealed that the changes in phenological events (days to 50 % flowering, days to maturity, and reproductive period) with response to contrasting environments had no direct influence on crop yields (p > 0.05) for all the genotypes except PM 14-11. Results revealed that the south zone environment initiated early flowering and an extended reproductive period, thus sustaining yield with good seed size. While in low rainfall areas viz., Sriganganagar, New Delhi, Durgapura, and Sagar, the yield was comparatively low irrespective of genotypes. Correlation results and PCA indicated that rainfall during the crop season and relative humidity significantly and positively influenced grain yield. Hence, the present study suggests that the yield potential of mungbean is independent of crop phenological dynamics; rather, climatic variables like rainfall and relative humidity have considerable influence on yield. Further, HA-GGE biplot analysis identified Sagar, New Delhi, Sriganganagar, Durgapura, Warangal, Srinagar, Kanpur, and Mohanpur as the ideal testing environments, which demonstrated high efficiency in the selection of new genotypes with wider adaptability.
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Affiliation(s)
| | - Sanjeev Gupta
- Indian Council of Agricultural Research, Krishi Bhawan, New Delhi, India
| | - Kali K. Hazra
- ICAR-Indian Institute of Pulses Research, Kanpur, India
| | | | | | - Deepak Singh
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Raju Kumar
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anil K. Singh
- ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Rakesh Vaishnavi
- Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST), Srinagar, India
| | | | - Sankar P. Das
- ICAR Research Complex for North Eastern Hilly Region, Agartala, India
| | - Jai Dev
- Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
| | - Rajesh K. Yadav
- Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
| | - B. S. Jamwal
- Pulses Research Sub-Station, SKUAST-Jammu, Srinagar, India
| | | | - O. P. Khedar
- Rajasthan Agricultural Research Institute, Jaipur, India
| | | | | | - R. K. Panwar
- Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India
| | - Manoj Katiyar
- Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, India
| | - Pankaj Kumar
- Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, India
| | - C. S. Mahto
- Birsa Agricultural University, Ranchi, India
| | - H. K. Borah
- Regional Agricultural Research Station, Shillongani, India
| | - M. N. Singh
- Institute of Agricultural Science, BHU, Varanasi, India
| | - Arpita Das
- Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, India
| | - A. N. Patil
- Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Pulses Research Unit, Akola, India
| | - H. C. Nanda
- Indira Gandhi Krishi Vishwavidyalaya, Raipur, India
| | - Vinod Kumar
- Jawaharlal Nehru Krishi Vishwa Vidyalaya, Regional Agricultural Research Station, Sagar, India
| | | | | | - M. H. Patel
- Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushi Nagar, India
| | - Raja R. Kanwar
- S.G. College of Agriculture and Research Station, Jagdalpur, India
| | - Jitendra Kumar
- Rajmohni Devi College of Agriculture and Research Station, Ambikapur, India
| | - S. P. Mishra
- Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot, India
| | - Hitesh Kumar
- Banda University of Agriculture and Technology, Banda, India
| | - Indu Swarup
- Regional Research Centre on Pulses, College of Agriculture, Indore, India
| | - Suma Mogali
- University of Agricultural Sciences (UAS), Dharwad, India
| | - D. Kumaresan
- Tamil Nadu Agricultural University (TNAU), Coimbatore, India
| | | | - M. Byre Gowda
- University of Agricultural Sciences, Gandhi Krishi Vigyana Kendra (GKVK), Bangalore, India
| | | | - Polneni J. Rao
- Regional Agricultural Research Station (PJTSAU), Warangal, India
| | - D. Shivani
- PJTSA-Agricultural Research Station, Madhira, India
| | - A. M. Prusti
- Odisha University of Agriculture and Technology, Bhubaneswar, India
| | - P. Mahadevu
- College of Agriculture, UAS, GKVK, Mandya, India
| | - K. Iyanar
- Tamil Nadu Agricultural University (TNAU), Coimbatore, India
| | - Sujata Das
- Odisha University of Agriculture and Technology, Bhubaneswar, India
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Satish M, Nivya MA, Abhishek S, Nakarakanti NK, Shivani D, Vani MV, Rajakumara E. Computational characterization of substrate and product specificities, and functionality of S-adenosylmethionine binding pocket in histone lysine methyltransferases from Arabidopsis, rice and maize. Proteins 2017; 86:21-34. [PMID: 29024026 DOI: 10.1002/prot.25399] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/21/2017] [Accepted: 10/08/2017] [Indexed: 12/15/2022]
Abstract
Histone lysine methylation by histone lysine methyltransferases (HKMTs) has been implicated in regulation of gene expression. While significant progress has been made to understand the roles and mechanisms of animal HKMT functions, only a few plant HKMTs are functionally characterized. To unravel histone substrate specificity, degree of methylation and catalytic activity, we analyzed Arabidopsis Trithorax-like protein (ATX), Su(var)3-9 homologs protein (SUVH), Su(var)3-9 related protein (SUVR), ATXR5, ATXR6, and E(Z) HKMTs of Arabidopsis, maize and rice through sequence and structure comparison. We show that ATXs may exhibit methyltransferase specificity toward histone 3 lysine 4 (H3K4) and might catalyse the trimethylation. Our analyses also indicate that most SUVH proteins of Arabidopsis may bind histone H3 lysine 9 (H3K9). We also predict that SUVH7, SUVH8, SUVR1, SUVR3, ZmSET20 and ZmSET22 catalyse monomethylation or dimethylation of H3K9. Except for SDG728, which may trimethylate H3K9, all SUVH paralogs in rice may catalyse monomethylation or dimethylation. ZmSET11, ZmSET31, SDG713, SDG715, and SDG726 proteins are predicted to be catalytically inactive because of an incomplete S-adenosylmethionine (SAM) binding pocket and a post-SET domain. E(Z) homologs can trimethylate H3K27 substrate, which is similar to the Enhancer of Zeste homolog 2 of humans. Our comparative sequence analyses reveal that ATXR5 and ATXR6 lack motifs/domains required for protein-protein interaction and polycomb repressive complex 2 complex formation. We propose that subtle variations of key residues at substrate or SAM binding pocket, around the catalytic pocket, or presence of pre-SET and post-SET domains in HKMTs of the aforementioned plant species lead to variations in class-specific HKMT functions and further determine their substrate specificity, the degree of methylation and catalytic activity.
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Affiliation(s)
- Mutyala Satish
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - M Angel Nivya
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - Suman Abhishek
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - Naveen Kumar Nakarakanti
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - Dixit Shivani
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - Madishetti Vinuthna Vani
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
| | - Eerappa Rajakumara
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502285, India
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