V. Guhan, S. A. Prasad, S. Easwaran, K. Annadurai, M. Marimuthu, D. Balu, S. Vigneswaran, C. N. Kumar
Background: The AquaCrop model for bengal gram successfully matches the biomass and yield of reported crop data under various planting dates, according to results that have been validated. Further this study was carried out in different agroclimatic zones of Tamil Nadu to assess variations in yield and water requirement. Methods: In order to simulate realistic yields for the Bengal gram in response to planting date impacts in the Guziliamparai Block in the Dindugal District of Tamil Nadu, the study parameterized and verified performance of the AquaCrop model. Four field trials planted in D1 - 1st November, D2 - 15th November, D3 - 1st December, and D4 - 15th December provided the model calibration data. Result: Fruit yield and biomass had R2 values of 0.9 and 0.8, respectively, indicating strong agreement between observed and model-simulated data. Fruit output and biomass were found to have RMSE values of 0.4 and 0.2, respectively. The NRMSE values for fruit yield and biomass were determined to be 0.3 and 0.1, respectively. The AquaCrop model somewhat overestimated fruit production and biomass since the BIAS was less than 0.4 and 0.2 for yield and biomass, respectively. Fruit production and biomass showed less agreement between simulated and actual D levels (0.4 to 0.6). Across Tamil Nadu's ACZ, a 20C temperature increase decreased the yield by an average of 6%, with minimums of 2% and maximums of 13%. An rise in temperature of 3°C and 4°C, respectively, decreased the yield by 9% and 19% on average.
{"title":"Climate Change and its Impact on Water Requirement and Productivity of Bengal Gram Over Different Agro-climatic Zones of Tamil Nadu","authors":"V. Guhan, S. A. Prasad, S. Easwaran, K. Annadurai, M. Marimuthu, D. Balu, S. Vigneswaran, C. N. Kumar","doi":"10.18805/lr-5286","DOIUrl":"https://doi.org/10.18805/lr-5286","url":null,"abstract":"Background: The AquaCrop model for bengal gram successfully matches the biomass and yield of reported crop data under various planting dates, according to results that have been validated. Further this study was carried out in different agroclimatic zones of Tamil Nadu to assess variations in yield and water requirement. Methods: In order to simulate realistic yields for the Bengal gram in response to planting date impacts in the Guziliamparai Block in the Dindugal District of Tamil Nadu, the study parameterized and verified performance of the AquaCrop model. Four field trials planted in D1 - 1st November, D2 - 15th November, D3 - 1st December, and D4 - 15th December provided the model calibration data. Result: Fruit yield and biomass had R2 values of 0.9 and 0.8, respectively, indicating strong agreement between observed and model-simulated data. Fruit output and biomass were found to have RMSE values of 0.4 and 0.2, respectively. The NRMSE values for fruit yield and biomass were determined to be 0.3 and 0.1, respectively. The AquaCrop model somewhat overestimated fruit production and biomass since the BIAS was less than 0.4 and 0.2 for yield and biomass, respectively. Fruit production and biomass showed less agreement between simulated and actual D levels (0.4 to 0.6). Across Tamil Nadu's ACZ, a 20C temperature increase decreased the yield by an average of 6%, with minimums of 2% and maximums of 13%. An rise in temperature of 3°C and 4°C, respectively, decreased the yield by 9% and 19% on average.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"55 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140361742","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}
S. Saravanan, G. Vaishali, M. A. Pillai, J.R. Jerish
Background: The present investigation was conducted at Agricultural College and Research Institute, Killikulam, Tamil Nadu during the year 2022-2023 involving 220 groundnut genotypes along with a resistant and susceptible check towards validation of phenotypic extremities on yield and its contributing traits besides screening against late leaf spot resistance. Methods: The data collected from two hundred and twenty germplasm along with check varieties for thirteen quantitative traits. The collected data were subjected to statistical analysis (Mahalanobis, 1936) besides interpreted by various genetic tools such as PCV, GCV, heritability and GAM. Further, ten plants were selected at random from each genotype and observation on late leaf spot disease was recorded based on modified 9 point scale. Result: Molecular analysis for LLS resistance among the groundnut germplasm had shown the concurrent superiority in terms of yield and resistance to late leaf spot disease among the genotypesICG 15233, ICG 8760, ICG 76, ICG 111, ICG 297, ICG 405, ICG 238, ICG 4598, ICG 5051, ICG 6057, ICG 8253, ICG 8285, ICG 10701 and ICG 15234. Hence, these genotypes can be exploited to develop a disease resistance and high yielding groundnut culture.
{"title":"Validation of Groundnut (Arachis hypogaea L.) Mini-core Genotypes for Phenotypic Extremities along with LLS Resistance Through Genetic and Molecular Intervention","authors":"S. Saravanan, G. Vaishali, M. A. Pillai, J.R. Jerish","doi":"10.18805/lr-5252","DOIUrl":"https://doi.org/10.18805/lr-5252","url":null,"abstract":"Background: The present investigation was conducted at Agricultural College and Research Institute, Killikulam, Tamil Nadu during the year 2022-2023 involving 220 groundnut genotypes along with a resistant and susceptible check towards validation of phenotypic extremities on yield and its contributing traits besides screening against late leaf spot resistance. Methods: The data collected from two hundred and twenty germplasm along with check varieties for thirteen quantitative traits. The collected data were subjected to statistical analysis (Mahalanobis, 1936) besides interpreted by various genetic tools such as PCV, GCV, heritability and GAM. Further, ten plants were selected at random from each genotype and observation on late leaf spot disease was recorded based on modified 9 point scale. Result: Molecular analysis for LLS resistance among the groundnut germplasm had shown the concurrent superiority in terms of yield and resistance to late leaf spot disease among the genotypesICG 15233, ICG 8760, ICG 76, ICG 111, ICG 297, ICG 405, ICG 238, ICG 4598, ICG 5051, ICG 6057, ICG 8253, ICG 8285, ICG 10701 and ICG 15234. Hence, these genotypes can be exploited to develop a disease resistance and high yielding groundnut culture.","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"57 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362684","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}
Sushmitha U.S., Madhubala, M. R. Prajapati, A. Kyada
Background: Twenty six genotypes of cluster bean [Cyamopsis tetragonoloba (L.) Taub] were evaluated under randomized block design with three replications under the field condition to estimate the range of variability and diversity present in cluster bean genotypes for fifteen yield and yield contributing traits. Methods: The experiment was carried out at Research Farm, Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat in the year 2020 on twenty-six genotypes of cluster bean. Result: Correlation coefficients of fifteen traits estimates indicated positive and highly significant correlation of seed yield per plant with pods per plant, pods per cluster, pod yield per plant and seeds per plant, so these characters should be considered for selection for increasing yield in cluster bean. Gum content was negatively and significantly correlated with days to 50% flowering, seed yield per plant and 100 seed weight at genotypic level hence, selection for gum content might not be desirable for test seed weight and seed yield. Principal component analysis revealed significant variation among traits evaluated with the five principal components explaining approximately the 75.8% of the total variation with ³1 eigen values. Most of the variation contributed by the pods per cluster, pods per plant, gum content, pod yield per plant and seed yield per plant, these traits should be considered while selecting the cluster bean genotypes. The PCA- biplot revealed GAUG-1305, GG-1801, RGC-936 and RGC-986 as the most diverse genotypes for various traits. Cluster analysis distributed 26 cluster bean genotypes into three different clusters by UPGMA method. In the present investigation, the genotype GAUG-1305 recorded higher pods per plant, while GAUG-1502 for higher pod yield per plant, the genotype RGC-1003 for high pod length and RGC-936 exhibited higher pods per cluster, seeds per pod and seed yield per plant. So, these genotypes could be used in the future breeding programs.
{"title":"Assessment of Genetic Diversity in Cluster Bean [Cyamopsis tetragonoloba (L.) Taub]","authors":"Sushmitha U.S., Madhubala, M. R. Prajapati, A. Kyada","doi":"10.18805/lr-5198","DOIUrl":"https://doi.org/10.18805/lr-5198","url":null,"abstract":"Background: Twenty six genotypes of cluster bean [Cyamopsis tetragonoloba (L.) Taub] were evaluated under randomized block design with three replications under the field condition to estimate the range of variability and diversity present in cluster bean genotypes for fifteen yield and yield contributing traits. Methods: The experiment was carried out at Research Farm, Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat in the year 2020 on twenty-six genotypes of cluster bean. Result: Correlation coefficients of fifteen traits estimates indicated positive and highly significant correlation of seed yield per plant with pods per plant, pods per cluster, pod yield per plant and seeds per plant, so these characters should be considered for selection for increasing yield in cluster bean. Gum content was negatively and significantly correlated with days to 50% flowering, seed yield per plant and 100 seed weight at genotypic level hence, selection for gum content might not be desirable for test seed weight and seed yield. Principal component analysis revealed significant variation among traits evaluated with the five principal components explaining approximately the 75.8% of the total variation with ³1 eigen values. Most of the variation contributed by the pods per cluster, pods per plant, gum content, pod yield per plant and seed yield per plant, these traits should be considered while selecting the cluster bean genotypes. The PCA- biplot revealed GAUG-1305, GG-1801, RGC-936 and RGC-986 as the most diverse genotypes for various traits. Cluster analysis distributed 26 cluster bean genotypes into three different clusters by UPGMA method. In the present investigation, the genotype GAUG-1305 recorded higher pods per plant, while GAUG-1502 for higher pod yield per plant, the genotype RGC-1003 for high pod length and RGC-936 exhibited higher pods per cluster, seeds per pod and seed yield per plant. So, these genotypes could be used in the future breeding programs.","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"29 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362010","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. Paslawar, P. Shingrup, N. Darekar, P. N. Chirde
Background: The potential of intercropping is well known for multifaceted benefits like greater resource use, reduction of population of harmful biotic agents, higher resource conservation and soil health and agricultural sustainability. These benefits are prominently pronounced in rainfed region. As the legumes crop have much importance in organic farming and there are very close relationships between yield advantage and nutrient acquisition in intercropping systems. By considering this aspect of intercropping system, chickpea intercropped with linseed and seed spices to get higher monetary returns with soil health. Methods: The field experiment entitled “assessment of productivity dyanamics of chickpea based intercropping with linseed and seed spices on bbf under organic cultivation’’ was conducted during Rabi season of 2019-20 to 2022-23 at certified organic research farm of Centre of Organic Agriculture Research and Training (COART), Department of Agronomy, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (Maharashtra). Result: In case of chickpea, the crop growth parameters and yield attributes of chickpea were found to be improved with sole cropping of chickpea than intercropping system with linseed and seed spices. However, in case of other crops, higher crop growth parameters and yield attributes of ajwain were found in intercropping system with chickpea.
{"title":"Assessment of Productivity Dyanamics of Chickpea based Intercropping with Linseed and Seed Spices on BBF under Organic Cultivation","authors":"A. Paslawar, P. Shingrup, N. Darekar, P. N. Chirde","doi":"10.18805/lr-5183","DOIUrl":"https://doi.org/10.18805/lr-5183","url":null,"abstract":"Background: The potential of intercropping is well known for multifaceted benefits like greater resource use, reduction of population of harmful biotic agents, higher resource conservation and soil health and agricultural sustainability. These benefits are prominently pronounced in rainfed region. As the legumes crop have much importance in organic farming and there are very close relationships between yield advantage and nutrient acquisition in intercropping systems. By considering this aspect of intercropping system, chickpea intercropped with linseed and seed spices to get higher monetary returns with soil health. Methods: The field experiment entitled “assessment of productivity dyanamics of chickpea based intercropping with linseed and seed spices on bbf under organic cultivation’’ was conducted during Rabi season of 2019-20 to 2022-23 at certified organic research farm of Centre of Organic Agriculture Research and Training (COART), Department of Agronomy, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (Maharashtra). Result: In case of chickpea, the crop growth parameters and yield attributes of chickpea were found to be improved with sole cropping of chickpea than intercropping system with linseed and seed spices. However, in case of other crops, higher crop growth parameters and yield attributes of ajwain were found in intercropping system with chickpea.","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"67 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364773","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}
Stuti Pathak, H.R. Sharma, Aman Ranga, M. A. Shah, Y.R. Shukla
Background: Biofortification, an evolving research strategy, aims to enhance the bioavailability of essential micronutrients in staple food crops. The most efficient approach, agronomic biofortification, involves the challenging task of simultaneously increasing grain zinc content and yield through breeding and biotechnology. In pursuit of biofortifying garden peas in the Himalayan region and optimizing their yield, this study was devised with a focus on foliar zinc fertilization application. Methods: The experiment was laid out in a randomized complete block design with three replications. The observations were recorded on growth and yield characters and yield efficiency was calculated. The data recorded was analysed as per design of the experiment for working out the following values. Result: The results revealed that application of 100 % RDF + 0.5 % ZnSO4+ Rhizobium produced best results in most of the yield and yield contributing characters likepod length, pod weight, number of grains per pod, yield and yield efficiency index which can be recommended for increasing the yield ad well as zinc content in pea.
{"title":"Zinc Biofortification and Nutrient Management Effect on Growth, Yield and Yield Efficiency Index of Garden Pea under Himalayan Conditions","authors":"Stuti Pathak, H.R. Sharma, Aman Ranga, M. A. Shah, Y.R. Shukla","doi":"10.18805/lr-5229","DOIUrl":"https://doi.org/10.18805/lr-5229","url":null,"abstract":"Background: Biofortification, an evolving research strategy, aims to enhance the bioavailability of essential micronutrients in staple food crops. The most efficient approach, agronomic biofortification, involves the challenging task of simultaneously increasing grain zinc content and yield through breeding and biotechnology. In pursuit of biofortifying garden peas in the Himalayan region and optimizing their yield, this study was devised with a focus on foliar zinc fertilization application. Methods: The experiment was laid out in a randomized complete block design with three replications. The observations were recorded on growth and yield characters and yield efficiency was calculated. The data recorded was analysed as per design of the experiment for working out the following values. Result: The results revealed that application of 100 % RDF + 0.5 % ZnSO4+ Rhizobium produced best results in most of the yield and yield contributing characters likepod length, pod weight, number of grains per pod, yield and yield efficiency index which can be recommended for increasing the yield ad well as zinc content in pea.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"58 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140365126","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: Seed sorting by seed size has been increasingly given importance in Türkiye but little is known about the impacts of seed size of soybean on germination and seedling growth, in regions suffering from salinity problems. Methods: The seeds classified as small (6-7 mm for Ataem, 4-6 mm for Kocatürk, 4-7 mm for Batem Erensoy and 4-5 mm for Göksoy) and large ( greater than 8 mm for Ataem and Batem Erensoy, greater than 7 mm for Kocatürk and greater than 6 mm for Göksoy. Seeds were exposed to 0, 10 and 20 dS m-1 of NaCl. Germination percentage, mean germination time and seedling growth parameters were investigated and compared. Result: Investigations revealed that, regardless of variety small seeds had a high content of chlorophyll pigments and slow and late mean germination time under NaCl stress. Emergence percentage differentiated in relation to seed size large seeds with 90.67% and small seeds with 73.67%. In conclusion, the large seeds produced significantly vigorous germination and seedling growth related to their high nutrient reserves and containing less chlorophyll pigmentation in their seeds. Therefore, care should be taken to select larger seeds, under saline conditions (10 dS m-1).
{"title":"Determination of Seed Size Properties of Soybean Cultivars and Their Response under Salinity during Early Growth","authors":"S. Day, N. K. Şahin","doi":"10.18805/lrf-780","DOIUrl":"https://doi.org/10.18805/lrf-780","url":null,"abstract":"Background: Seed sorting by seed size has been increasingly given importance in Türkiye but little is known about the impacts of seed size of soybean on germination and seedling growth, in regions suffering from salinity problems. Methods: The seeds classified as small (6-7 mm for Ataem, 4-6 mm for Kocatürk, 4-7 mm for Batem Erensoy and 4-5 mm for Göksoy) and large ( greater than 8 mm for Ataem and Batem Erensoy, greater than 7 mm for Kocatürk and greater than 6 mm for Göksoy. Seeds were exposed to 0, 10 and 20 dS m-1 of NaCl. Germination percentage, mean germination time and seedling growth parameters were investigated and compared. Result: Investigations revealed that, regardless of variety small seeds had a high content of chlorophyll pigments and slow and late mean germination time under NaCl stress. Emergence percentage differentiated in relation to seed size large seeds with 90.67% and small seeds with 73.67%. In conclusion, the large seeds produced significantly vigorous germination and seedling growth related to their high nutrient reserves and containing less chlorophyll pigmentation in their seeds. Therefore, care should be taken to select larger seeds, under saline conditions (10 dS m-1).","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"72 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078065","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}
Ishwari G. Hiremath, S. Jahagirdar, P. U. Krishnaraj, S. Ashtaputre, D. Kambrekar, K. Priyanka
Background: Sclerotium rolfsii Sacc. is one of the potential soil-borne plant pathogens due to its significant loss in terms of yield and quality in several crop plants. In soybean the pathogen is associated with collar rot disease. Methods: Sixteen samples which were showing collar rot symptoms were collected from different soybean growing regions of the country and were subjected for isolation and purification. Molecular detection was carried out using ITS1/4 primers followed by phylogenetic analysis was performed using the MEGA 11 bioinformatics tool. Further, the biochemical test was made for oxalic acid production to determine the variability across the isolate. Result: DNA was amplified for ITS rDNA region at 650-700 bp in all the sixteen isolates. BLAST detection of nucleotide sequence of sixteen isolates framed mainly into two distinct phylogenetic clusters. Cluster B consisted of two isolates (MPSe 1 and MHSa 3) whereas, Cluster A contains the remaining fourteen isolates. There was a variation with respect to oxalic acid production among the isolates which was in the rage of 1.15 to 2.23 mg/ml.
背景：Sclerotium rolfsii Sacc.是潜在的土传植物病原体之一，它对多种作物的产量和质量造成了重大损失。在大豆中，该病原体与领腐病有关。研究方法从该国不同的大豆种植区采集了 16 个出现领腐病症状的样本，并进行了分离和纯化。使用 ITS1/4 引物进行分子检测，然后使用 MEGA 11 生物信息学工具进行系统进化分析。此外，还对草酸产量进行了生化测试，以确定不同分离物之间的变异性。结果所有 16 个分离株的 ITS rDNA 区域均扩增出 650-700 bp 的 DNA。对 16 个分离物的核苷酸序列进行 BLAST 检测后，主要将其分为两个不同的系统发生群。簇 B 包括两个分离株（MPSe 1 和 MHSa 3），而簇 A 则包含其余 14 个分离株。各分离物的草酸产量存在差异，在 1.15 至 2.23 毫克/毫升之间。
{"title":"Diversity Studies of Sclerotium rolfsii Sacc. Isolates Associated with Collar Rot of Soybean Through Molecular and Biochemical Approaches","authors":"Ishwari G. Hiremath, S. Jahagirdar, P. U. Krishnaraj, S. Ashtaputre, D. Kambrekar, K. Priyanka","doi":"10.18805/lr-5221","DOIUrl":"https://doi.org/10.18805/lr-5221","url":null,"abstract":"Background: Sclerotium rolfsii Sacc. is one of the potential soil-borne plant pathogens due to its significant loss in terms of yield and quality in several crop plants. In soybean the pathogen is associated with collar rot disease. Methods: Sixteen samples which were showing collar rot symptoms were collected from different soybean growing regions of the country and were subjected for isolation and purification. Molecular detection was carried out using ITS1/4 primers followed by phylogenetic analysis was performed using the MEGA 11 bioinformatics tool. Further, the biochemical test was made for oxalic acid production to determine the variability across the isolate. Result: DNA was amplified for ITS rDNA region at 650-700 bp in all the sixteen isolates. BLAST detection of nucleotide sequence of sixteen isolates framed mainly into two distinct phylogenetic clusters. Cluster B consisted of two isolates (MPSe 1 and MHSa 3) whereas, Cluster A contains the remaining fourteen isolates. There was a variation with respect to oxalic acid production among the isolates which was in the rage of 1.15 to 2.23 mg/ml.","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"36 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140086042","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: Legume crops are an essential component of global agriculture and are widely supplied for human consumption, livestock feed and soil improvement due to their vital nutritional nature. The economic and nutritional significance of legumes is threatened by a multitude of diseases that can cause substantial yield losses. Traditional methods for disease detection, relying on visual inspection, are often subjective and inefficient, leading to delayed intervention. Methods: This study investigates the utilization of machine learning algorithms for the early identification of diseases affecting legume crops. A comprehensive evaluation is conducted on machine learning algorithms, namely Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) with respect to the domain of disease detection. Through a comparative analysis of their performance across different environmental conditions and phases of crop development, this study also explores their strengths and weaknesses. Result: The findings and comparative examination offered significant perspectives on the potential of machine learning algorithms in the realm of early legume crop disease detection. In addition to enhancing crop health and disease management, the research provides support for sustainable agricultural practices and possesses the capacity to augment environmental sustainability and food security through the application of machine learning techniques.
{"title":"Machine Learning Algorithms for Early Detection of Legume Crop Disease","authors":"Ok-Hue Cho","doi":"10.18805/lrf-788","DOIUrl":"https://doi.org/10.18805/lrf-788","url":null,"abstract":"Background: Legume crops are an essential component of global agriculture and are widely supplied for human consumption, livestock feed and soil improvement due to their vital nutritional nature. The economic and nutritional significance of legumes is threatened by a multitude of diseases that can cause substantial yield losses. Traditional methods for disease detection, relying on visual inspection, are often subjective and inefficient, leading to delayed intervention. Methods: This study investigates the utilization of machine learning algorithms for the early identification of diseases affecting legume crops. A comprehensive evaluation is conducted on machine learning algorithms, namely Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) with respect to the domain of disease detection. Through a comparative analysis of their performance across different environmental conditions and phases of crop development, this study also explores their strengths and weaknesses. Result: The findings and comparative examination offered significant perspectives on the potential of machine learning algorithms in the realm of early legume crop disease detection. In addition to enhancing crop health and disease management, the research provides support for sustainable agricultural practices and possesses the capacity to augment environmental sustainability and food security through the application of machine learning techniques.","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"6 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140410655","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}
S. N. Mishra, Kalpana Mishra, Namo Narayan Mishra, Pavan Kumar Para
Background: Research was conducted to ascertain the impact of hormonal seed strengthening on seed health status under an accelerated ageing test in chickpea (Cicer arietinum L) at the state seed testing laboratory during the Rabi seasons of 2018-19 and 2019-20. Four replications of the Blotter test were performed CRD plan. As per continuous evaluation and observation, under accelerated ageing increased pathogens were observed with increased temperature and RH, the seeds treated with salicylic acid resulted with least pathogen infection while compared to other treatments. Methods: The current experiment was conducted in the state seed testing laboratory, Department of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh, between the years of 2018 and 2020. 37 distinct treatment combinations were employed in the experiment. The seeds were placed in an accelerated ageing condition with high temperature and relative humidity. Hormonal seed strengthening is the activity of infusing PGRs into old seeds to make them fresh again with the help of PGRs (salicylic and giberellic acid) treatments into old seeds and increase the vigour index of seeds. Result: In this experiment chick pea seeds treated with combination of gibberellic acid and salicylic acid resulted in least infection of seed pathogens we can recommend these for maintaining seed health status.
{"title":"Impact of Plant Growth Regulators on Seed Health during Accelerated Ageing Test in Chickpea [Cicer arietinum (L.)] Seeds","authors":"S. N. Mishra, Kalpana Mishra, Namo Narayan Mishra, Pavan Kumar Para","doi":"10.18805/lr-5168","DOIUrl":"https://doi.org/10.18805/lr-5168","url":null,"abstract":"Background: Research was conducted to ascertain the impact of hormonal seed strengthening on seed health status under an accelerated ageing test in chickpea (Cicer arietinum L) at the state seed testing laboratory during the Rabi seasons of 2018-19 and 2019-20. Four replications of the Blotter test were performed CRD plan. As per continuous evaluation and observation, under accelerated ageing increased pathogens were observed with increased temperature and RH, the seeds treated with salicylic acid resulted with least pathogen infection while compared to other treatments. Methods: The current experiment was conducted in the state seed testing laboratory, Department of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh, between the years of 2018 and 2020. 37 distinct treatment combinations were employed in the experiment. The seeds were placed in an accelerated ageing condition with high temperature and relative humidity. Hormonal seed strengthening is the activity of infusing PGRs into old seeds to make them fresh again with the help of PGRs (salicylic and giberellic acid) treatments into old seeds and increase the vigour index of seeds. Result: In this experiment chick pea seeds treated with combination of gibberellic acid and salicylic acid resulted in least infection of seed pathogens we can recommend these for maintaining seed health status.\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422443","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: Cowpea is a versatile leguminous pulse crop that exhibits resilience to drought and adapts well to various climates. It serves multiple purposes and can be enjoyed both in its raw form and as a grain pulse. Various studies established that cowpea has the potential vegetable crops with nitrogen fixation capacity. Thus, the study of environmentally safety and clean production of cowpea for better crop yield along with energy use efficiency and carbon budgeting for sustainable crop production is an important issue for the upcoming future. Methods: The present study was carried out at the experimental farm of Krishi Vigyan Kendra-Sepahijala, Latiacherra, Tripura under CAU (I) on 2022 and 2023 with three high yielding cowpea varieties (Kashi Kanchan, Kashi Gauri and Kashi Unnati). The design followed in the experiment adhered to a Randomized block design (RBD) with five replications. Result: Experiments result revealed that Kashi Kanchan perform outstanding by showing maximum pod yield. In the context of energy equivalent and Carbon budgeting, Kashi Kanchan is showing high energy use efficiency (45.01) and high carbon efficiency (1.59).
{"title":"Energy Budgeting and Economic Analysis of Cowpea Varieties under Rainfed Condition","authors":"Joy Kumar Dey, Ashim Debnath, Promod Das, Shatabhisa Sarkar, Rajib Das, Ardhendu Chakraborty, Ajit Kumar Mandal, Pijush Debbarma","doi":"10.18805/lr-5251","DOIUrl":"https://doi.org/10.18805/lr-5251","url":null,"abstract":"Background: Cowpea is a versatile leguminous pulse crop that exhibits resilience to drought and adapts well to various climates. It serves multiple purposes and can be enjoyed both in its raw form and as a grain pulse. Various studies established that cowpea has the potential vegetable crops with nitrogen fixation capacity. Thus, the study of environmentally safety and clean production of cowpea for better crop yield along with energy use efficiency and carbon budgeting for sustainable crop production is an important issue for the upcoming future. Methods: The present study was carried out at the experimental farm of Krishi Vigyan Kendra-Sepahijala, Latiacherra, Tripura under CAU (I) on 2022 and 2023 with three high yielding cowpea varieties (Kashi Kanchan, Kashi Gauri and Kashi Unnati). The design followed in the experiment adhered to a Randomized block design (RBD) with five replications. Result: Experiments result revealed that Kashi Kanchan perform outstanding by showing maximum pod yield. In the context of energy equivalent and Carbon budgeting, Kashi Kanchan is showing high energy use efficiency (45.01) and high carbon efficiency (1.59).\u0000","PeriodicalId":17998,"journal":{"name":"LEGUME RESEARCH - AN INTERNATIONAL JOURNAL","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140424076","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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