Pub Date : 2024-06-03DOI: 10.9734/arja/2024/v17i2457
Olympica Sarma, R. Barwal, C. Singh, C. B. Singh, A K Ghosh
Aims: To study the genetic parameter (heritability) for production and reproduction traits in Frieswal cattle under field progeny testing programme. Place and Duration of Study: G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, between March, 2023 and March, 2024. Methodology: The present study was conducted on 1163 Frieswal cattle comprised of five different sets maintained at six field units over a period from 2013-2021. The traits considered were age at sexual maturity (ASM), age at first calving (AFC), gestation period (GP), test day peak yield (TDPY), 305 days milk yield (305D-MY), fat percentage (FP), lactation length (LL), calving interval (CI), service period (SP), number of services per conception (NSPC), dry period (DP). The data were analyzed for the estimation of heritability by the software WOMBAT. Results: The heritability estimates of the traits namely; ASM, AFC, GP, TDPY, 305D-MY, FP, LL, CI, SP, NSPC and DP were 0.469±0.082, 0.467±0.082, 0.259±0.067, 0.248±0.059, 0.354±0.013, 0.413±0.069, 0.389±0.071, 0.394±0.071, 0.452±0.072, 0.072±0.046 and 0.08±0.06, respectively. Conclusion: Therefore, the heritability estimates were found to be low to high magnitude for different reproduction and production traits and further it has been concluded that, this study will aid breeders in selecting high-performing animals for future generations, taking into account the genetic factors that influence milk production and reproductive traits during early lactation.
{"title":"Computation of Heritability for Production and Reproduction Traits in Frieswal Cattle under Field Progeny Testing","authors":"Olympica Sarma, R. Barwal, C. Singh, C. B. Singh, A K Ghosh","doi":"10.9734/arja/2024/v17i2457","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i2457","url":null,"abstract":"Aims: To study the genetic parameter (heritability) for production and reproduction traits in Frieswal cattle under field progeny testing programme. \u0000Place and Duration of Study: G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, between March, 2023 and March, 2024. \u0000Methodology: The present study was conducted on 1163 Frieswal cattle comprised of five different sets maintained at six field units over a period from 2013-2021. The traits considered were age at sexual maturity (ASM), age at first calving (AFC), gestation period (GP), test day peak yield (TDPY), 305 days milk yield (305D-MY), fat percentage (FP), lactation length (LL), calving interval (CI), service period (SP), number of services per conception (NSPC), dry period (DP). The data were analyzed for the estimation of heritability by the software WOMBAT. \u0000Results: The heritability estimates of the traits namely; ASM, AFC, GP, TDPY, 305D-MY, FP, LL, CI, SP, NSPC and DP were 0.469±0.082, 0.467±0.082, 0.259±0.067, 0.248±0.059, 0.354±0.013, 0.413±0.069, 0.389±0.071, 0.394±0.071, 0.452±0.072, 0.072±0.046 and 0.08±0.06, respectively. \u0000Conclusion: Therefore, the heritability estimates were found to be low to high magnitude for different reproduction and production traits and further it has been concluded that, this study will aid breeders in selecting high-performing animals for future generations, taking into account the genetic factors that influence milk production and reproductive traits during early lactation.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"35 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141270568","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}
Pub Date : 2024-02-20DOI: 10.9734/arja/2024/v17i2411
Romen Kalita, N. Deka
In a country like India agriculture is the major economic players in economic aspects, which is the great source of revenue is more than 50% of the population of India. The country’s economic sector is based on the agricultural activities that play a significant role in the national development. Of late, ICT plays a significant role in the development of agriculture. It is widely acknowledged that improved information flow benefits both individual businesses and the agriculture industry. Nonetheless, gathering and sharing information is frequently expensive and challenging. By using information technology (IT), it is possible to lower the cost of information dissemination while simultaneously providing more information to all stakeholders involved in the agriculture industry. But the part of agriculture to the economy as well as the economic condition of the farmers is not what they should have been in this era of technology in a state like Assam. The aim of this study is to find the utilization in agricultural sector in the upper Brahmaputra valley Zone of Assam. This paper tries to discuss the factors affecting utilization of ICT tools in agriculture by using Binary Logistics Regression Model. Apart from higher level of education (.252) and size of land holding (.003), other factors like age (-.076), extension contact (-.282) and participation in media (-3.554) are found to be negatively influenced in the knowledge of ICT in agriculture among the farmers in the study area. Organzing awareness and training programme may help the farmers to utilize ICT in agricultural sector.
{"title":"Factors Affecting Utilization of Information and Communication Technology (ICT) in Agricultural Sector: A Case Study in Upper Brahmaputra Valley Zone of Assam, India","authors":"Romen Kalita, N. Deka","doi":"10.9734/arja/2024/v17i2411","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i2411","url":null,"abstract":"In a country like India agriculture is the major economic players in economic aspects, which is the great source of revenue is more than 50% of the population of India. The country’s economic sector is based on the agricultural activities that play a significant role in the national development. Of late, ICT plays a significant role in the development of agriculture. It is widely acknowledged that improved information flow benefits both individual businesses and the agriculture industry. Nonetheless, gathering and sharing information is frequently expensive and challenging. By using information technology (IT), it is possible to lower the cost of information dissemination while simultaneously providing more information to all stakeholders involved in the agriculture industry. But the part of agriculture to the economy as well as the economic condition of the farmers is not what they should have been in this era of technology in a state like Assam. The aim of this study is to find the utilization in agricultural sector in the upper Brahmaputra valley Zone of Assam. This paper tries to discuss the factors affecting utilization of ICT tools in agriculture by using Binary Logistics Regression Model. Apart from higher level of education (.252) and size of land holding (.003), other factors like age (-.076), extension contact (-.282) and participation in media (-3.554) are found to be negatively influenced in the knowledge of ICT in agriculture among the farmers in the study area. Organzing awareness and training programme may help the farmers to utilize ICT in agricultural sector.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"3 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139958067","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}
Soil degradation, characterised by a deterioration in quality and a drop in ecosystem products and services, is a key impediment to obtaining the necessary increase in agricultural productivity. Soil is a living and dynamic organism that degrades when standard agricultural practices are used. Healthy soil is a crucial pillar of sustainability because it provides various ecosystem services in addition to controlling microbial activity, nutrient recovery, and decomposition. In human time spans, soil is a non-renewable resource that is vulnerable to deterioration due to complex interactions between processes, variables, and causes occurring at a variety of geographical and temporal dimensions. Accelerated erosion, depletion of the soil organic carbon (SOC) pool and biodiversity loss, loss of soil fertility and elemental imbalance, acidification and salinization are among the key soil degradation processes. The strategy aims to minimize soil erosion, boost SOC and N budgets, boost soil biota activity and species diversity (macro, meso, and micro), and improve structural stability and pore geometry. Improving soil quality (i.e., expanding the SOC pool, improving soil structure, and boosting soil fertility) can lower the hazards of soil degradation (physical, chemical, biological, and ecological) while also benefiting the environment.
{"title":"Soil Restoration Strategies for Sustaining Soil Productivity: A Review","authors":"Abhinav Rathi, Pardeep Kumar, Sumit Nangla, Shubham Sharma, Shalini Sharma","doi":"10.9734/arja/2024/v17i1408","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i1408","url":null,"abstract":"Soil degradation, characterised by a deterioration in quality and a drop in ecosystem products and services, is a key impediment to obtaining the necessary increase in agricultural productivity. Soil is a living and dynamic organism that degrades when standard agricultural practices are used. Healthy soil is a crucial pillar of sustainability because it provides various ecosystem services in addition to controlling microbial activity, nutrient recovery, and decomposition. In human time spans, soil is a non-renewable resource that is vulnerable to deterioration due to complex interactions between processes, variables, and causes occurring at a variety of geographical and temporal dimensions. Accelerated erosion, depletion of the soil organic carbon (SOC) pool and biodiversity loss, loss of soil fertility and elemental imbalance, acidification and salinization are among the key soil degradation processes. The strategy aims to minimize soil erosion, boost SOC and N budgets, boost soil biota activity and species diversity (macro, meso, and micro), and improve structural stability and pore geometry. Improving soil quality (i.e., expanding the SOC pool, improving soil structure, and boosting soil fertility) can lower the hazards of soil degradation (physical, chemical, biological, and ecological) while also benefiting the environment.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787890","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}
Soil degradation, characterised by a deterioration in quality and a drop in ecosystem products and services, is a key impediment to obtaining the necessary increase in agricultural productivity. Soil is a living and dynamic organism that degrades when standard agricultural practices are used. Healthy soil is a crucial pillar of sustainability because it provides various ecosystem services in addition to controlling microbial activity, nutrient recovery, and decomposition. In human time spans, soil is a non-renewable resource that is vulnerable to deterioration due to complex interactions between processes, variables, and causes occurring at a variety of geographical and temporal dimensions. Accelerated erosion, depletion of the soil organic carbon (SOC) pool and biodiversity loss, loss of soil fertility and elemental imbalance, acidification and salinization are among the key soil degradation processes. The strategy aims to minimize soil erosion, boost SOC and N budgets, boost soil biota activity and species diversity (macro, meso, and micro), and improve structural stability and pore geometry. Improving soil quality (i.e., expanding the SOC pool, improving soil structure, and boosting soil fertility) can lower the hazards of soil degradation (physical, chemical, biological, and ecological) while also benefiting the environment.
{"title":"Soil Restoration Strategies for Sustaining Soil Productivity: A Review","authors":"Abhinav Rathi, Pardeep Kumar, Sumit Nangla, Shubham Sharma, Shalini Sharma","doi":"10.9734/arja/2024/v17i1408","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i1408","url":null,"abstract":"Soil degradation, characterised by a deterioration in quality and a drop in ecosystem products and services, is a key impediment to obtaining the necessary increase in agricultural productivity. Soil is a living and dynamic organism that degrades when standard agricultural practices are used. Healthy soil is a crucial pillar of sustainability because it provides various ecosystem services in addition to controlling microbial activity, nutrient recovery, and decomposition. In human time spans, soil is a non-renewable resource that is vulnerable to deterioration due to complex interactions between processes, variables, and causes occurring at a variety of geographical and temporal dimensions. Accelerated erosion, depletion of the soil organic carbon (SOC) pool and biodiversity loss, loss of soil fertility and elemental imbalance, acidification and salinization are among the key soil degradation processes. The strategy aims to minimize soil erosion, boost SOC and N budgets, boost soil biota activity and species diversity (macro, meso, and micro), and improve structural stability and pore geometry. Improving soil quality (i.e., expanding the SOC pool, improving soil structure, and boosting soil fertility) can lower the hazards of soil degradation (physical, chemical, biological, and ecological) while also benefiting the environment.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"32 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847537","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}
Pub Date : 2024-02-03DOI: 10.9734/arja/2024/v17i1407
Shriya Devi, Jayanta Kalita, B. Borkotoki, Nikhilesh Baruah, Hemendra Choudhury
A field experiment was conducted during rabi, 2021-22 at the experimental plot of the Department of Agronomy, Biswanath College of Agriculture (BNCA), Assam Agricultural University (AAU), Biswanath Chariali, Assam having geographic coordinates 26°43'30'' N and 93°08'08'' E to assess nitrogen management in Sunflower (Helianthus annuus L.) with conventional and nano urea under rainfed farming situations in the North Bank Plain Zone of Assam. The experiment confined to 10 treatments in Randomized Block Design (RBD) viz., T1: Control (No Nitrogen), T2: Soil application of 50% N, T3: Soil application of 100% N (RD), T4: 3 foliar applications of 0.6% nano urea, T5: Soil application of 50% N + 2 foliar application of 1% conventional urea, T6: Soil application of 50% N + 2 foliar application of 2% conventional urea, T7: Soil application of 50% N + 2 foliar application of 3% conventional urea, T8: Soil application of 50% N + 2 foliar application of 0.2% nano urea, T9: Soil application of 50% N + 2 foliar application of 0.4% nano urea, T10: Soil application of 50% N + 2 foliar application of 0.6% nano urea. Results revealed that there was no significant effect on the seedling emergence percentage due to different nitrogen management treatments. The highest plant height (84 cm) and maximum number of leaves (33) were found in T10. T9 showed the maximum values of Relative Leaf Water Content (RLWC) (71%), leaf area index (LAI) (3.2 and 4.2 at 60 and 90 DAS), chlorophyll content index (30 DAS) and head diameter (16.70 cm). For most of the growth and phenological parameters, T9 and T10 were at par with each other. T1 (no nitrogen) was the earliest to complete its life cycle which is reflected in 50% heading (65 days) and days to maturity (97 days). Dry matter accumulation varied at different time intervals, initially, it was highest in T3 but later T9 and T10 showed the maximum values. In terms of seed yield, test weight and chaffy grain percentage (%), T9 showed the best results: (1505 kg/ha), (54 g/1000 seeds) and (20%) respectively, followed by T10. Whereas the highest stover yield was recorded in T10. The highest Benefit to Cost ratio (B:C ratio of 1.60) was obtained in the T9.
{"title":"Comparative Evaluation of Nano Urea Versus Conventional Urea for Nitrogen Management in Rainfed Sunflower (Helianthus annuus L.) Cultivation in Acid Sandy Loam Soils of Assam.","authors":"Shriya Devi, Jayanta Kalita, B. Borkotoki, Nikhilesh Baruah, Hemendra Choudhury","doi":"10.9734/arja/2024/v17i1407","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i1407","url":null,"abstract":"A field experiment was conducted during rabi, 2021-22 at the experimental plot of the Department of Agronomy, Biswanath College of Agriculture (BNCA), Assam Agricultural University (AAU), Biswanath Chariali, Assam having geographic coordinates 26°43'30'' N and 93°08'08'' E to assess nitrogen management in Sunflower (Helianthus annuus L.) with conventional and nano urea under rainfed farming situations in the North Bank Plain Zone of Assam. The experiment confined to 10 treatments in Randomized Block Design (RBD) viz., T1: Control (No Nitrogen), T2: Soil application of 50% N, T3: Soil application of 100% N (RD), T4: 3 foliar applications of 0.6% nano urea, T5: Soil application of 50% N + 2 foliar application of 1% conventional urea, T6: Soil application of 50% N + 2 foliar application of 2% conventional urea, T7: Soil application of 50% N + 2 foliar application of 3% conventional urea, T8: Soil application of 50% N + 2 foliar application of 0.2% nano urea, T9: Soil application of 50% N + 2 foliar application of 0.4% nano urea, T10: Soil application of 50% N + 2 foliar application of 0.6% nano urea. Results revealed that there was no significant effect on the seedling emergence percentage due to different nitrogen management treatments. The highest plant height (84 cm) and maximum number of leaves (33) were found in T10. T9 showed the maximum values of Relative Leaf Water Content (RLWC) (71%), leaf area index (LAI) (3.2 and 4.2 at 60 and 90 DAS), chlorophyll content index (30 DAS) and head diameter (16.70 cm). For most of the growth and phenological parameters, T9 and T10 were at par with each other. T1 (no nitrogen) was the earliest to complete its life cycle which is reflected in 50% heading (65 days) and days to maturity (97 days). Dry matter accumulation varied at different time intervals, initially, it was highest in T3 but later T9 and T10 showed the maximum values. In terms of seed yield, test weight and chaffy grain percentage (%), T9 showed the best results: (1505 kg/ha), (54 g/1000 seeds) and (20%) respectively, followed by T10. Whereas the highest stover yield was recorded in T10. The highest Benefit to Cost ratio (B:C ratio of 1.60) was obtained in the T9.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139867594","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}
Pub Date : 2024-02-03DOI: 10.9734/arja/2024/v17i1407
Shriya Devi, Jayanta Kalita, B. Borkotoki, Nikhilesh Baruah, Hemendra Choudhury
A field experiment was conducted during rabi, 2021-22 at the experimental plot of the Department of Agronomy, Biswanath College of Agriculture (BNCA), Assam Agricultural University (AAU), Biswanath Chariali, Assam having geographic coordinates 26°43'30'' N and 93°08'08'' E to assess nitrogen management in Sunflower (Helianthus annuus L.) with conventional and nano urea under rainfed farming situations in the North Bank Plain Zone of Assam. The experiment confined to 10 treatments in Randomized Block Design (RBD) viz., T1: Control (No Nitrogen), T2: Soil application of 50% N, T3: Soil application of 100% N (RD), T4: 3 foliar applications of 0.6% nano urea, T5: Soil application of 50% N + 2 foliar application of 1% conventional urea, T6: Soil application of 50% N + 2 foliar application of 2% conventional urea, T7: Soil application of 50% N + 2 foliar application of 3% conventional urea, T8: Soil application of 50% N + 2 foliar application of 0.2% nano urea, T9: Soil application of 50% N + 2 foliar application of 0.4% nano urea, T10: Soil application of 50% N + 2 foliar application of 0.6% nano urea. Results revealed that there was no significant effect on the seedling emergence percentage due to different nitrogen management treatments. The highest plant height (84 cm) and maximum number of leaves (33) were found in T10. T9 showed the maximum values of Relative Leaf Water Content (RLWC) (71%), leaf area index (LAI) (3.2 and 4.2 at 60 and 90 DAS), chlorophyll content index (30 DAS) and head diameter (16.70 cm). For most of the growth and phenological parameters, T9 and T10 were at par with each other. T1 (no nitrogen) was the earliest to complete its life cycle which is reflected in 50% heading (65 days) and days to maturity (97 days). Dry matter accumulation varied at different time intervals, initially, it was highest in T3 but later T9 and T10 showed the maximum values. In terms of seed yield, test weight and chaffy grain percentage (%), T9 showed the best results: (1505 kg/ha), (54 g/1000 seeds) and (20%) respectively, followed by T10. Whereas the highest stover yield was recorded in T10. The highest Benefit to Cost ratio (B:C ratio of 1.60) was obtained in the T9.
{"title":"Comparative Evaluation of Nano Urea Versus Conventional Urea for Nitrogen Management in Rainfed Sunflower (Helianthus annuus L.) Cultivation in Acid Sandy Loam Soils of Assam.","authors":"Shriya Devi, Jayanta Kalita, B. Borkotoki, Nikhilesh Baruah, Hemendra Choudhury","doi":"10.9734/arja/2024/v17i1407","DOIUrl":"https://doi.org/10.9734/arja/2024/v17i1407","url":null,"abstract":"A field experiment was conducted during rabi, 2021-22 at the experimental plot of the Department of Agronomy, Biswanath College of Agriculture (BNCA), Assam Agricultural University (AAU), Biswanath Chariali, Assam having geographic coordinates 26°43'30'' N and 93°08'08'' E to assess nitrogen management in Sunflower (Helianthus annuus L.) with conventional and nano urea under rainfed farming situations in the North Bank Plain Zone of Assam. The experiment confined to 10 treatments in Randomized Block Design (RBD) viz., T1: Control (No Nitrogen), T2: Soil application of 50% N, T3: Soil application of 100% N (RD), T4: 3 foliar applications of 0.6% nano urea, T5: Soil application of 50% N + 2 foliar application of 1% conventional urea, T6: Soil application of 50% N + 2 foliar application of 2% conventional urea, T7: Soil application of 50% N + 2 foliar application of 3% conventional urea, T8: Soil application of 50% N + 2 foliar application of 0.2% nano urea, T9: Soil application of 50% N + 2 foliar application of 0.4% nano urea, T10: Soil application of 50% N + 2 foliar application of 0.6% nano urea. Results revealed that there was no significant effect on the seedling emergence percentage due to different nitrogen management treatments. The highest plant height (84 cm) and maximum number of leaves (33) were found in T10. T9 showed the maximum values of Relative Leaf Water Content (RLWC) (71%), leaf area index (LAI) (3.2 and 4.2 at 60 and 90 DAS), chlorophyll content index (30 DAS) and head diameter (16.70 cm). For most of the growth and phenological parameters, T9 and T10 were at par with each other. T1 (no nitrogen) was the earliest to complete its life cycle which is reflected in 50% heading (65 days) and days to maturity (97 days). Dry matter accumulation varied at different time intervals, initially, it was highest in T3 but later T9 and T10 showed the maximum values. In terms of seed yield, test weight and chaffy grain percentage (%), T9 showed the best results: (1505 kg/ha), (54 g/1000 seeds) and (20%) respectively, followed by T10. Whereas the highest stover yield was recorded in T10. The highest Benefit to Cost ratio (B:C ratio of 1.60) was obtained in the T9.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"560 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139807737","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}
Pub Date : 2023-11-25DOI: 10.9734/arja/2023/v16i4402
Mouketou Armel, Ndiade Bourobou Dyana, K. A. Armel, Abessolo Meye Clotilde, Gnacadja Claude, Z. C. Roland, Mbeng Ndong Hendrix, Sima Owono Rochat Léotard, Lepengué Alexis Nicaise, M. J. François
Aims: In order to identify and assess the level of cassava diseases in farms present in Gabon, disease surveys were carried out across the country in 2021 and 2022. Methodology: The method used is based on administration of questionnaire to cassava growers, supplemented by the recognition of disease symptoms on 30 randomly selected plants in farms. Results: Some 201 cassava growers were interviewed, 84.04% (n=169) of them were women and 15.92% (n=32) men. Nearly 65.41% of the farmers interviewed had a primary school education and were aged between 51 and 55. The majority of these producers had farming as their main activity (89.73%). The results showed the occurrence of five cassava diseases in the study area: cassava mosaic (Im = 60.22%; Sm = 2.95), anthracnose (Im = 19.45%; Sm = 3), leaf necrosis (Im= 9.95%; Sm = 2.71), bacteriosis (Im = <1%; Sm = 3), and root rot (Im = <1%; Sm = 2.61). Among these diseases, mosaic was the most frequently observed in the provinces surveyed. Its incidence was lowest in Estuaire (38.40%) and highest in Ogooué-Ivindo (71.36%) and Ogooué-Maritime (71.76%). Anthracnose incidence was lowest in Moyen-Ogooué (4.05%) and highest in Haut-Ogooué (36.50%). For leaf necrosis, Woleu-Ntem (0.71%) and Ogooué-Ivindo (31.11%) recorded the lowest and highest incidence respectively. Conclusion: In order to control these cassava diseases, it is important to initiate and implement awareness campaigns and training workshops for growers to encourage them to adopt good farming practices.
{"title":"Occurrence, Distribution and Farmers' Perceptions of Cassava Diseases in Gabon, Central Africa","authors":"Mouketou Armel, Ndiade Bourobou Dyana, K. A. Armel, Abessolo Meye Clotilde, Gnacadja Claude, Z. C. Roland, Mbeng Ndong Hendrix, Sima Owono Rochat Léotard, Lepengué Alexis Nicaise, M. J. François","doi":"10.9734/arja/2023/v16i4402","DOIUrl":"https://doi.org/10.9734/arja/2023/v16i4402","url":null,"abstract":"Aims: In order to identify and assess the level of cassava diseases in farms present in Gabon, disease surveys were carried out across the country in 2021 and 2022. Methodology: The method used is based on administration of questionnaire to cassava growers, supplemented by the recognition of disease symptoms on 30 randomly selected plants in farms. Results: Some 201 cassava growers were interviewed, 84.04% (n=169) of them were women and 15.92% (n=32) men. Nearly 65.41% of the farmers interviewed had a primary school education and were aged between 51 and 55. The majority of these producers had farming as their main activity (89.73%). The results showed the occurrence of five cassava diseases in the study area: cassava mosaic (Im = 60.22%; Sm = 2.95), anthracnose (Im = 19.45%; Sm = 3), leaf necrosis (Im= 9.95%; Sm = 2.71), bacteriosis (Im = <1%; Sm = 3), and root rot (Im = <1%; Sm = 2.61). Among these diseases, mosaic was the most frequently observed in the provinces surveyed. Its incidence was lowest in Estuaire (38.40%) and highest in Ogooué-Ivindo (71.36%) and Ogooué-Maritime (71.76%). Anthracnose incidence was lowest in Moyen-Ogooué (4.05%) and highest in Haut-Ogooué (36.50%). For leaf necrosis, Woleu-Ntem (0.71%) and Ogooué-Ivindo (31.11%) recorded the lowest and highest incidence respectively. Conclusion: In order to control these cassava diseases, it is important to initiate and implement awareness campaigns and training workshops for growers to encourage them to adopt good farming practices.","PeriodicalId":505475,"journal":{"name":"Asian Research Journal of Agriculture","volume":"128 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139237349","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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