Background: The advancements achieved in artificial intelligence (AI) technology in recent decades have not yet been equaled by agricultural phenotyping approaches that are both rapid and precise. Efficient crop phenotyping technologies are necessary to enhance crop improvement endeavors in order to fulfill the projected demand for food in future. Methods: This work demonstrates a method for non-destructive physiological state phenotyping of plants using cutting-edge image processing methods in conjunction with chlorophyll fluorescence imaging. Key fluorescence metrics, such as fv/fm and NPQ, were extracted from images taken at different phases of development via processing. In addition, this research explores the transformative role of automated image analysis in high-throughput phenotyping of legume traits. A comprehensive examination of recent studies reveals the diverse applications of machine learning and deep learning algorithms in capturing morphological traits, assessing physiological parameters, detecting stress and diseases in various legume species. The comparative analysis underscores the superiority of automated systems over traditional methods, emphasizing scalability and efficiency. Challenges, including algorithm sensitivity and environmental variability, are identified, urging further refinement. Recommendations advocate for standardized metrics, interdisciplinary collaborations and user-friendly platforms to enhance accessibility. As the field evolves, the integration of automated image analysis holds promise for revolutionizing legume phenotyping, accelerating crop improvement and contributing to global food security in sustainable agriculture. Result: The findings demonstrate that the proposed method is effective in illuminating how plants respond to their environment, hence promoting advancements in plant phenotyping and agricultural research
{"title":"Leveraging Image Analysis for High-throughput Phenotyping of Legume Plants","authors":"Bong-Hyun Kim","doi":"10.18805/lrf-806","DOIUrl":"https://doi.org/10.18805/lrf-806","url":null,"abstract":"Background: The advancements achieved in artificial intelligence (AI) technology in recent decades have not yet been equaled by agricultural phenotyping approaches that are both rapid and precise. Efficient crop phenotyping technologies are necessary to enhance crop improvement endeavors in order to fulfill the projected demand for food in future. Methods: This work demonstrates a method for non-destructive physiological state phenotyping of plants using cutting-edge image processing methods in conjunction with chlorophyll fluorescence imaging. Key fluorescence metrics, such as fv/fm and NPQ, were extracted from images taken at different phases of development via processing. In addition, this research explores the transformative role of automated image analysis in high-throughput phenotyping of legume traits. A comprehensive examination of recent studies reveals the diverse applications of machine learning and deep learning algorithms in capturing morphological traits, assessing physiological parameters, detecting stress and diseases in various legume species. The comparative analysis underscores the superiority of automated systems over traditional methods, emphasizing scalability and efficiency. Challenges, including algorithm sensitivity and environmental variability, are identified, urging further refinement. Recommendations advocate for standardized metrics, interdisciplinary collaborations and user-friendly platforms to enhance accessibility. As the field evolves, the integration of automated image analysis holds promise for revolutionizing legume phenotyping, accelerating crop improvement and contributing to global food security in sustainable agriculture. Result: The findings demonstrate that the proposed method is effective in illuminating how plants respond to their environment, hence promoting advancements in plant phenotyping and agricultural research\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"53 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J.R. Jerish, S. Saravanan, K. Geetha, M. A. Pillai, J. Sheela, A. K. Pushpam, Suvendu Mondal
Background: Groundnut (Arachis hypogaea L.) is an important commercial crop augmenting protein and oil industry. Breeding for improved peanut crop with higher oleic acid content through induced mutagenesis could the best cooking oil in terms of health benefits. Further, the knowledge of the variability parameters and frequency distribution of desired traits could benefit plant breeders while developing selection criteria to maximising the genetic gain. Methods: The present study aimed to determine the mean lethal dose (LD 50) of gamma irradiation on groundnut TMV (Gn) 13) to create the genetic variability and to screen the putative mutants with allele specific primers based on phenotypic and agronomic traits. Result: Five traits viz., plant height, number of pods per plant, pod length, pod width and pod yield per plant had expressed significantly higher heritability coupled with high Genetic advance per cent of Mean substantiating the role of additive gene action. Also, the frequency distribution pointed out the positively skewed traits in both the populations. Further, molecular validation through AS-PCR assay revealed the presence of ahFAD2A mutant allele in 4 out of 155 putative mutants. As a result, these mutants have 43-45% oleic acid than the control TMV (Gn) 13, which has 35-39%.
{"title":"Genetic Variability Analysis of Gamma Irradiated M2 Populations for Higher Oleic Acid Content in TMV (Gn) 13 (Arachis hypogaea L.)","authors":"J.R. Jerish, S. Saravanan, K. Geetha, M. A. Pillai, J. Sheela, A. K. Pushpam, Suvendu Mondal","doi":"10.18805/lr-5296","DOIUrl":"https://doi.org/10.18805/lr-5296","url":null,"abstract":"Background: Groundnut (Arachis hypogaea L.) is an important commercial crop augmenting protein and oil industry. Breeding for improved peanut crop with higher oleic acid content through induced mutagenesis could the best cooking oil in terms of health benefits. Further, the knowledge of the variability parameters and frequency distribution of desired traits could benefit plant breeders while developing selection criteria to maximising the genetic gain. Methods: The present study aimed to determine the mean lethal dose (LD 50) of gamma irradiation on groundnut TMV (Gn) 13) to create the genetic variability and to screen the putative mutants with allele specific primers based on phenotypic and agronomic traits. Result: Five traits viz., plant height, number of pods per plant, pod length, pod width and pod yield per plant had expressed significantly higher heritability coupled with high Genetic advance per cent of Mean substantiating the role of additive gene action. Also, the frequency distribution pointed out the positively skewed traits in both the populations. Further, molecular validation through AS-PCR assay revealed the presence of ahFAD2A mutant allele in 4 out of 155 putative mutants. As a result, these mutants have 43-45% oleic acid than the control TMV (Gn) 13, which has 35-39%.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"50 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rashmirekha Singh, Prabhat Ranjan Mishra, Kamal Ravi Sharma, Satyabrata Mangaraj, Deepak Kumar Behera, Sameer Kumar Singh
Background: Groundnut bruchid (Caryedon serratus Olivier) is the most important stored grain insect pests of groundnut that significantly lowers the quality and market acceptance of the produce. The grub of this insect causes extensive damage to the kernels by boring into undamaged shell and feeds on seeds internally. Therefore, the present study is aimed at screening of the groundnut genotypes on the basis of their physical and biochemical characters which are responsible for imparting resistance against the bruchid pest. Methods: An experiment was conducted at the Department of seed science and technology, OUAT, Bhubaneswar during 2019-20 to study the physical and biochemical characters involved for resistance in stored groundnut genotypes against groundnut bruchid, C. serratus. Varietal screening study was conducted in twenty groundnut genotypes and their physical and biochemical characters were assessed in the laboratory. Result: Small pod size, less pod weight and more shell thickness attributed for resistance to C. serratus resulting in least percentage pod damage and weight loss. Similarly, groundnut genotypes with lower protein content and higher phenol, fiber and ash content conferred resistance against the test insect.
{"title":"Role of Physical and Biochemical Characters in Groundnut Genotypes as a Basis of Resistance against Groundnut Bruchid, Caryedon serratus Olivier during Storage","authors":"Rashmirekha Singh, Prabhat Ranjan Mishra, Kamal Ravi Sharma, Satyabrata Mangaraj, Deepak Kumar Behera, Sameer Kumar Singh","doi":"10.18805/lr-5291","DOIUrl":"https://doi.org/10.18805/lr-5291","url":null,"abstract":"Background: Groundnut bruchid (Caryedon serratus Olivier) is the most important stored grain insect pests of groundnut that significantly lowers the quality and market acceptance of the produce. The grub of this insect causes extensive damage to the kernels by boring into undamaged shell and feeds on seeds internally. Therefore, the present study is aimed at screening of the groundnut genotypes on the basis of their physical and biochemical characters which are responsible for imparting resistance against the bruchid pest. Methods: An experiment was conducted at the Department of seed science and technology, OUAT, Bhubaneswar during 2019-20 to study the physical and biochemical characters involved for resistance in stored groundnut genotypes against groundnut bruchid, C. serratus. Varietal screening study was conducted in twenty groundnut genotypes and their physical and biochemical characters were assessed in the laboratory. Result: Small pod size, less pod weight and more shell thickness attributed for resistance to C. serratus resulting in least percentage pod damage and weight loss. Similarly, groundnut genotypes with lower protein content and higher phenol, fiber and ash content conferred resistance against the test insect.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"102 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Mayavel, M. Amaravel, C. Bagathsingh, G. R. Krishnan, B. Nagarajan
Background: Tamarindus indica L., commonly known as Tamarind, is a unique species in the Leguminosae (Fabaceae) family. It is known for its economic and nutritional importance. The genetic diversity of Tamarind is crucial for breeding and conservation purposes. Despite its significance, there is limited research on the phenotypic variations among Tamarind clones, particularly concerning their morphological and biochemical traits. Understanding these variations is essential for improving Tamarind cultivars in terms of yield and quality. This study aims to fill this gap by assessing the phenotypic diversity in Tamarind clones using a range of morphological and biochemical parameters. Methods: The study was conducted on a 10-year-old clonal assemblage of Tamarind. A total of 60 Tamarind clones were evaluated over two consecutive years (2019-2020 and 2020-2021). The experimental design was a randomized complete block design. The correlation, multiple linear regression, principal component analysis and cluster analysis were analysed in the morphological and biochemical traits to understand the contribution variation and relationship among these clones. Result: The results indicated significant diversity among the 60 Tamarind clones. High coefficient of variation was observed in annual yield per tree. The PCA revealed that the first five principal components accounted for 81.77% of the total variation, with the first two components explaining 65.89% of the variance. A strong positive correlation and relationship were found between fruit weight and annual yield per tree. The hierarchical cluster analysis resulted in the categorization of the genotypes into three distinct clusters, each characterized by unique morphological and physiochemical traits. These findings are crucial for breeders focusing on enhancing Tamarind cultivars for better yield and quality.
{"title":"Exploring Morpho-biochemical Diversity in Tamarind (Tamarindus indica L.) for Advanced Breeding Approaches","authors":"A. Mayavel, M. Amaravel, C. Bagathsingh, G. R. Krishnan, B. Nagarajan","doi":"10.18805/lr-5295","DOIUrl":"https://doi.org/10.18805/lr-5295","url":null,"abstract":"Background: Tamarindus indica L., commonly known as Tamarind, is a unique species in the Leguminosae (Fabaceae) family. It is known for its economic and nutritional importance. The genetic diversity of Tamarind is crucial for breeding and conservation purposes. Despite its significance, there is limited research on the phenotypic variations among Tamarind clones, particularly concerning their morphological and biochemical traits. Understanding these variations is essential for improving Tamarind cultivars in terms of yield and quality. This study aims to fill this gap by assessing the phenotypic diversity in Tamarind clones using a range of morphological and biochemical parameters. Methods: The study was conducted on a 10-year-old clonal assemblage of Tamarind. A total of 60 Tamarind clones were evaluated over two consecutive years (2019-2020 and 2020-2021). The experimental design was a randomized complete block design. The correlation, multiple linear regression, principal component analysis and cluster analysis were analysed in the morphological and biochemical traits to understand the contribution variation and relationship among these clones. Result: The results indicated significant diversity among the 60 Tamarind clones. High coefficient of variation was observed in annual yield per tree. The PCA revealed that the first five principal components accounted for 81.77% of the total variation, with the first two components explaining 65.89% of the variance. A strong positive correlation and relationship were found between fruit weight and annual yield per tree. The hierarchical cluster analysis resulted in the categorization of the genotypes into three distinct clusters, each characterized by unique morphological and physiochemical traits. These findings are crucial for breeders focusing on enhancing Tamarind cultivars for better yield and quality.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Gireesha, H. V. Prabhu, P. V. Patil, G. V. Gowda, S.K. Deshpande, K. N. Vijaykumar, Gangadhara Doggalli
Background: Cowpea crop is affected by various biotic and abiotic stresses which are responsible for its poor quality and low yield resulting in severe economic losses. Among the root diseases, stem and root rot caused by Macrophomina phaseolina is an important disease causing the yield losses ranging from 50-55 per cent. So, there is a need to formulate suitable management practices against root rot. Methods: Field experiment was laid-out in a randomized complete block design with three replications at Main Agricultural Research Station, University of Agricultural Sciences, Dharwad during rabi 2021-22 and 2022-23 to determine the efficacy of economically viable and effective fungicides, bioagents and organic manures against stem and root rot of cowpea. The per cent disease incidence and yield per hectare were taken into consideration for statistical analysis. Result: In laboratory experiments, it was found that, the seed dressing fungicides mancozeb 50% + carbendazim 25% WP and carboxin 37.5% + thiram 37.5% DS were the most effective against M. phaseolina. Similarly, among the bioagents tested, T. harzianum was the most effective followed by T. Viride and P. fluorescens. A two-years evaluation of nine integrated treatment modules for rabi seasons revealed that, seed treatment with carboxin 37.5% + thiram 37.5 % WS resulted in the lowest disease incidence and the highest grain yield, 100 seed weight and B:C ratio. Cowpea stem and root rot incidence was increased with soil temperature and decreased with soil moisture.
{"title":"Integrated Management of Stem and Root Rot of Cowpea Caused by Macrophomina phaseolina (Tassi.) Goid. using Fungicides, Bioagents and Organic Manures","authors":"D. Gireesha, H. V. Prabhu, P. V. Patil, G. V. Gowda, S.K. Deshpande, K. N. Vijaykumar, Gangadhara Doggalli","doi":"10.18805/lr-5325","DOIUrl":"https://doi.org/10.18805/lr-5325","url":null,"abstract":"Background: Cowpea crop is affected by various biotic and abiotic stresses which are responsible for its poor quality and low yield resulting in severe economic losses. Among the root diseases, stem and root rot caused by Macrophomina phaseolina is an important disease causing the yield losses ranging from 50-55 per cent. So, there is a need to formulate suitable management practices against root rot. Methods: Field experiment was laid-out in a randomized complete block design with three replications at Main Agricultural Research Station, University of Agricultural Sciences, Dharwad during rabi 2021-22 and 2022-23 to determine the efficacy of economically viable and effective fungicides, bioagents and organic manures against stem and root rot of cowpea. The per cent disease incidence and yield per hectare were taken into consideration for statistical analysis. Result: In laboratory experiments, it was found that, the seed dressing fungicides mancozeb 50% + carbendazim 25% WP and carboxin 37.5% + thiram 37.5% DS were the most effective against M. phaseolina. Similarly, among the bioagents tested, T. harzianum was the most effective followed by T. Viride and P. fluorescens. A two-years evaluation of nine integrated treatment modules for rabi seasons revealed that, seed treatment with carboxin 37.5% + thiram 37.5 % WS resulted in the lowest disease incidence and the highest grain yield, 100 seed weight and B:C ratio. Cowpea stem and root rot incidence was increased with soil temperature and decreased with soil moisture.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"6 2‐3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mandeep Kumar, D.P. Malik, A.K. Dixit, P. Nimbrayan, Sandeep Bedwal, Sagar Rawal
Background: Mungbean [Vigna radiata (L.) Wilczek] is the most extensively sown crop among commonly produced Asiatic Vignas, viz., urdbean, mungbean, mothbean, ricebean and azukibean. In Haryana, the crop covered 28.5 thousand ha area with annual production of 19.6 thousand tonnes having productivity of 688 kg ha-1 in 2020-21. To prevent the perils of mono-cropping (paddy-wheat system) in the state, there is a need for deep transformation through inclusion of pulses like summer mungbean, in the existing cropping system. Hence, the present investigation critically examines the growth trends, economics and efficiency of resource use in summer mungbean cultivation in eastern zone of the state. Methods: This study uses both primary and secondary source of data. The primary data was collated from 80 summer mungbean growers using multi-stage random sampling technique. The secondary data was retrieved from various published and unpublished sources for a period of 30 years from 1991-92 to 2020-21. For measuring the growth trends and instability in the area, production and productivity of mungbean, compound annual growth rate (CAGR) and Cuddy-Della Valle index (CDVI) were computed. Simple budgeting technique was employed for calculating the economics of summer mungbean. For resource use efficiency, Cobb-Douglas production function was used. Result: The results show a positively significant growth rate in mungbean area, production and productivity but with irregular trends. The instability in mungbean production is more pronounced in Haryana than India and is mainly attributed to area instability, while it is because of productivity instability at the country level. The mungbean is a profitable enterprise in summer season as the net returns realized to the tune of ₹ 26024 ha-1 with benefit-cost ratio of 1.43 in the study area. Further, the efficiency of resourceuse in summer mungbean exhibits increasing returns to scale. Hence, the inclusion of mungbean cultivation in summer season is profitable.
{"title":"Analysing Growth Trend, Profitability and Resource Use Efficiency of Summer Mungbean in Eastern Haryana","authors":"Mandeep Kumar, D.P. Malik, A.K. Dixit, P. Nimbrayan, Sandeep Bedwal, Sagar Rawal","doi":"10.18805/lr-5194","DOIUrl":"https://doi.org/10.18805/lr-5194","url":null,"abstract":"Background: Mungbean [Vigna radiata (L.) Wilczek] is the most extensively sown crop among commonly produced Asiatic Vignas, viz., urdbean, mungbean, mothbean, ricebean and azukibean. In Haryana, the crop covered 28.5 thousand ha area with annual production of 19.6 thousand tonnes having productivity of 688 kg ha-1 in 2020-21. To prevent the perils of mono-cropping (paddy-wheat system) in the state, there is a need for deep transformation through inclusion of pulses like summer mungbean, in the existing cropping system. Hence, the present investigation critically examines the growth trends, economics and efficiency of resource use in summer mungbean cultivation in eastern zone of the state. Methods: This study uses both primary and secondary source of data. The primary data was collated from 80 summer mungbean growers using multi-stage random sampling technique. The secondary data was retrieved from various published and unpublished sources for a period of 30 years from 1991-92 to 2020-21. For measuring the growth trends and instability in the area, production and productivity of mungbean, compound annual growth rate (CAGR) and Cuddy-Della Valle index (CDVI) were computed. Simple budgeting technique was employed for calculating the economics of summer mungbean. For resource use efficiency, Cobb-Douglas production function was used. Result: The results show a positively significant growth rate in mungbean area, production and productivity but with irregular trends. The instability in mungbean production is more pronounced in Haryana than India and is mainly attributed to area instability, while it is because of productivity instability at the country level. The mungbean is a profitable enterprise in summer season as the net returns realized to the tune of ₹ 26024 ha-1 with benefit-cost ratio of 1.43 in the study area. Further, the efficiency of resourceuse in summer mungbean exhibits increasing returns to scale. Hence, the inclusion of mungbean cultivation in summer season is profitable.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"39 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Alfalfa (Medicago sativa L.) is a globally important cool-season forage grass for semiarid regions and the demand for seeds is increasing with the increase of alfalfa planting area. However, its seed yield is often low or inconsistent. Methods: A field experiment was conducted to investigate the response of seed yield and yield components of alfalfa to different sowing dates and phosphorus (P) fertilization levels from 2020 to 2022. This research was conducted using a split-plot design in a randomized complete block, with four replications. The main plots were three sowing dates (20 July, 5 and 20 August) and subplots were five different rates (0, 40, 70, 100 and 130 kg P2O5 ha-1). Result: Our results revealed that delaying the sowing dates reduced seed yield, by influencing its yield components, except for the 1000-seed weight, but P fertilization enhanced the seed yield components affected by late sowing and increased seed yield, it is recommended to apply P fertilizer at 77.6~144.8 kg ha-1. Stem density and seeds per pod were the primary factors determining seed yield and they may be useful to consider in developing traits for high-seed-yield alfalfa.
{"title":"Effects of Sowing Dates and Phosphorus Application on Seed Yield and Yield Components of Alfalfa","authors":"Yuntao Wang, Jihong Xie, Zhen Sun, Qiqi Wang, Linqing Yu","doi":"10.18805/lrf-810","DOIUrl":"https://doi.org/10.18805/lrf-810","url":null,"abstract":"Background: Alfalfa (Medicago sativa L.) is a globally important cool-season forage grass for semiarid regions and the demand for seeds is increasing with the increase of alfalfa planting area. However, its seed yield is often low or inconsistent. Methods: A field experiment was conducted to investigate the response of seed yield and yield components of alfalfa to different sowing dates and phosphorus (P) fertilization levels from 2020 to 2022. This research was conducted using a split-plot design in a randomized complete block, with four replications. The main plots were three sowing dates (20 July, 5 and 20 August) and subplots were five different rates (0, 40, 70, 100 and 130 kg P2O5 ha-1). Result: Our results revealed that delaying the sowing dates reduced seed yield, by influencing its yield components, except for the 1000-seed weight, but P fertilization enhanced the seed yield components affected by late sowing and increased seed yield, it is recommended to apply P fertilizer at 77.6~144.8 kg ha-1. Stem density and seeds per pod were the primary factors determining seed yield and they may be useful to consider in developing traits for high-seed-yield alfalfa.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Murugavelu Girija Sangari, S.R. Harish Chandar, S. Mahalakshmi, P. Latha, Swaminathan Amutha, C. Appunu
Legumes are an important source of protein and provide a health-rich diet for human beings. It contains essential amino acids. It mainly plays a significant role in soil enrichment. Due to their role in agriculture and human nutrition, scientists have made efforts to develop new traits. The genetic enhancement of legumes was achieved using traditional breeding over the years however, the progress is very slow. Recent developments in genome editing technologies, specifically CRISPR-Cas technology, have improved key agricultural traits in legumes and offer a wealth of opportunities for studying traits like improved seed nutrient content, enhancing productivity and resilience to biotic and abiotic stresses recently introduced in legumes. So far, the genome editing technology has been effectively used in various legume crops, mainly soybean, peanut, cowpea and chickpea. Still, the transformation and regeneration of other legumes have remained a significant hurdle to the implementation of gene editing. This review mainly highlights the use of different gene editing technologies in legumes, progress and updates of CRISPR/Cas9 tools in legumes and challenges of legume crops face during production.
{"title":"CRISPR/Cas Genome Editing in Legume Crops: Challenges and Opportunities: A Review","authors":"Murugavelu Girija Sangari, S.R. Harish Chandar, S. Mahalakshmi, P. Latha, Swaminathan Amutha, C. Appunu","doi":"10.18805/lr-5321","DOIUrl":"https://doi.org/10.18805/lr-5321","url":null,"abstract":"Legumes are an important source of protein and provide a health-rich diet for human beings. It contains essential amino acids. It mainly plays a significant role in soil enrichment. Due to their role in agriculture and human nutrition, scientists have made efforts to develop new traits. The genetic enhancement of legumes was achieved using traditional breeding over the years however, the progress is very slow. Recent developments in genome editing technologies, specifically CRISPR-Cas technology, have improved key agricultural traits in legumes and offer a wealth of opportunities for studying traits like improved seed nutrient content, enhancing productivity and resilience to biotic and abiotic stresses recently introduced in legumes. So far, the genome editing technology has been effectively used in various legume crops, mainly soybean, peanut, cowpea and chickpea. Still, the transformation and regeneration of other legumes have remained a significant hurdle to the implementation of gene editing. This review mainly highlights the use of different gene editing technologies in legumes, progress and updates of CRISPR/Cas9 tools in legumes and challenges of legume crops face during production.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"117 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Venkatesan, V. Jagadeeswari, K. R. Vijayalatha, M. Prabhu, B. Senthamizhselvi, M. Mohanalakshmi, K. Padmadevi
Background: Dolichos bean [Dolichos lablab (Roxb.) (L) Var. typicus] is one of the most important leguminous vegetable crops cultivated in tropical plains of India. The mature and immature pods are rich in protein, minerals and vitamins. Most of the pole types of dolichos beans are photosensitive in nature, suited for growing in specific season like kharif and not productive when grown in summer season. Different cultivars of Dolichos bean require different seasons for getting maximum yield. With this background, studies on seasonal influence on growth and yield of dolichos bean genotypes were carried out. Methods: An experiment was conducted to assess the effect of season and genotypes in Dolichos bean. The experiment was laid out in factorial randomized block design with nine treatment combinations and four replications. In this study, three genotypes of dolichos bean viz., CO 1, Dbp-3 and Dbp-4 were sown during kharif, rabi and winter seasons. Result: The main and interaction effects on genotypes and season of sowing had a significant influence on green pod yield, crude fibre, crude protein and total dry matter production. The genotype Dbp-3 sown during kharif season recorded the highest values for green pod yield (23.43 t.ha-1), crude protein (5.99%), dry matter production at various stages of growth (65.9, 254.3, 305.8, 359.2, 389.8 and 418.0 g.plant-1 at 30, 60,90,120,150,180 days after sowing respectively) and it was significantly different from all other treatments. The same treatment i.e., genotype Dbp-3 sown during kharif season was recorded the lowest amount of crude fibre content (1.53%).
{"title":"Studies on Seasonal Influence on Yield and Quality of Dolichos Bean Genotypes","authors":"K. Venkatesan, V. Jagadeeswari, K. R. Vijayalatha, M. Prabhu, B. Senthamizhselvi, M. Mohanalakshmi, K. Padmadevi","doi":"10.18805/lr-5315","DOIUrl":"https://doi.org/10.18805/lr-5315","url":null,"abstract":"Background: Dolichos bean [Dolichos lablab (Roxb.) (L) Var. typicus] is one of the most important leguminous vegetable crops cultivated in tropical plains of India. The mature and immature pods are rich in protein, minerals and vitamins. Most of the pole types of dolichos beans are photosensitive in nature, suited for growing in specific season like kharif and not productive when grown in summer season. Different cultivars of Dolichos bean require different seasons for getting maximum yield. With this background, studies on seasonal influence on growth and yield of dolichos bean genotypes were carried out. Methods: An experiment was conducted to assess the effect of season and genotypes in Dolichos bean. The experiment was laid out in factorial randomized block design with nine treatment combinations and four replications. In this study, three genotypes of dolichos bean viz., CO 1, Dbp-3 and Dbp-4 were sown during kharif, rabi and winter seasons. Result: The main and interaction effects on genotypes and season of sowing had a significant influence on green pod yield, crude fibre, crude protein and total dry matter production. The genotype Dbp-3 sown during kharif season recorded the highest values for green pod yield (23.43 t.ha-1), crude protein (5.99%), dry matter production at various stages of growth (65.9, 254.3, 305.8, 359.2, 389.8 and 418.0 g.plant-1 at 30, 60,90,120,150,180 days after sowing respectively) and it was significantly different from all other treatments. The same treatment i.e., genotype Dbp-3 sown during kharif season was recorded the lowest amount of crude fibre content (1.53%).\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"32 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Pavithra, K. Jayalalitha, T. Sujatha, N. H. Satyanarayana, N. J. Lakshmi, V. Roja
Background: In the present climate change scenario, the rising temperatures are imposing severe threat to blackgram production leading to marked reduction in yield potential.The reduction in the yield potential is mainly due to reproductive failures caused by heat stress. Keeping this in view, the present study was carried out to find out the reasons behind reproductive failures and identify the genotypes that yield better under heat stress. Methods: Thirty blackgram genotypes selected from temperature induction response technique were evaluated for reproductive efficiency under natural high temperature conditions. Field experiment was conducted at Agricultural College Farm, Acharya N.G Ranga Agricultural University, Agricultural College, Bapatla. Dry matter partitioning, reproductive efficiency and yield traits were recorded at flowering and the data were analyzed statistically and pooled. Result: Genetic variability was observed among the blackgram genotypes with respect to dry matter partitioning, reproductive efficiency and yield traits under high temperature stress conditions. Among the 30 genotypes tested for thermotolerance, the genotypes TBG-129, PU-1804 and LBG-1015 were found to withstand high temperature stress at reproductive stage by possessing higher dry matter, number of flowers per plant, pollen viability, pollen germination percentage, pollen load on stigma, stigma receptivity, flower to pod setting percentage and higher yield. Correlation analysis revealed a strong positive association of total dry matter and all the reproductive efficiency characteristics with seed yield under heat stress conditions. The PCA results revealed considerable variability among the traits accounting for 86.6% of total variability. The genotypes TBG-129, PU-1804 and LBG-1015 can be potentially used as donors in the breeding programmes for the development of heat tolerant genotypes.
{"title":"Evaluation of Blackgram (Vigna mungo L.) Genotypes for Dry Matter Partitioning, Reproductive Efficiency and Yield under High Temperature Stress","authors":"N. Pavithra, K. Jayalalitha, T. Sujatha, N. H. Satyanarayana, N. J. Lakshmi, V. Roja","doi":"10.18805/lr-5287","DOIUrl":"https://doi.org/10.18805/lr-5287","url":null,"abstract":"Background: In the present climate change scenario, the rising temperatures are imposing severe threat to blackgram production leading to marked reduction in yield potential.The reduction in the yield potential is mainly due to reproductive failures caused by heat stress. Keeping this in view, the present study was carried out to find out the reasons behind reproductive failures and identify the genotypes that yield better under heat stress. Methods: Thirty blackgram genotypes selected from temperature induction response technique were evaluated for reproductive efficiency under natural high temperature conditions. Field experiment was conducted at Agricultural College Farm, Acharya N.G Ranga Agricultural University, Agricultural College, Bapatla. Dry matter partitioning, reproductive efficiency and yield traits were recorded at flowering and the data were analyzed statistically and pooled. Result: Genetic variability was observed among the blackgram genotypes with respect to dry matter partitioning, reproductive efficiency and yield traits under high temperature stress conditions. Among the 30 genotypes tested for thermotolerance, the genotypes TBG-129, PU-1804 and LBG-1015 were found to withstand high temperature stress at reproductive stage by possessing higher dry matter, number of flowers per plant, pollen viability, pollen germination percentage, pollen load on stigma, stigma receptivity, flower to pod setting percentage and higher yield. Correlation analysis revealed a strong positive association of total dry matter and all the reproductive efficiency characteristics with seed yield under heat stress conditions. The PCA results revealed considerable variability among the traits accounting for 86.6% of total variability. The genotypes TBG-129, PU-1804 and LBG-1015 can be potentially used as donors in the breeding programmes for the development of heat tolerant genotypes.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"79 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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