{"title":"Yield performance evaluation of kabuli and desi chickpea (Cicer arietinum L.) varieties under rainfed condition","authors":"Yohannes Eshetu, Tesfu Mengistu Woldemichael, Zelalem Fisseha Gebreegziabher","doi":"10.25081/jsa.2024.v8.8964","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.8964","url":null,"abstract":"Chickpea is one of Ethiopia’s main grain legume crops and it is third most important export legumes after faba bean and haricot bean. The performance information for chickpea cultivars under varying environmental conditions in the Somali region is limited. A field experiment was conducted to test the adaptability of 14 released chickpea varieties (both kabuli and desi types) at Kebribeya and Jigjiga in 2021. The experiment was carried out using a complete randomized block design with three replications for both types separately. The analysis of variance computed for seven traits for each location and over the location revealed the presence of significant variability between varieties. Variety by location interaction was highly significant for most yield and yield related for both types, this indicated that location-specific variety selection is needed. Hence, among the tested kabuli types, Koka and Hora for Kebribeya and Ejera and Koka for Jigjiga were selected based on their grain yield potential and other yield and yield-related traits. Regarding the desi-type Dalota and Dimtu for Kebribeya and Dalota, Natoil and Teketay for the Jigjiga location were the best high-yielder varieties among tested varieties. Additionally, the phenotypic correlation between traits revealed that most traits were associated with grain yield. Specifically, days to maturity and the number of pods per plant were highly correlated with grain yield in both types and were also used as important traits for variety selection. Therefore, the selected varieties from both chickpea types are recommended for popularization in study areas and other similar agroecology.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816041","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}
Zipporah Maluvu, Oludhe Christopher, Kisangau Daniel, M. J. Mwende
{"title":"Habitat suitability study for green gram production under present and future climatic scenarios in Kibwezi East Kenya","authors":"Zipporah Maluvu, Oludhe Christopher, Kisangau Daniel, M. J. Mwende","doi":"10.25081/jsa.2024.v8.8903","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.8903","url":null,"abstract":"The species distribution model was used to predict the suitability of green gram production under the present, RCP 4.5 and 8.5 climate scenarios. An ensemble of a species distribution model comprising six models was developed. Validation of these models revealed that all models were robust with the best model being random forest (RF) with Area Under the Curve (AUC) = 0.98 and Deviance = 0.29 while the least was the generalized linear model (GLM) with AUC = 0.87 and Deviance = 0.71. The green gram habitat suitability greatly decreased under RCP 8.5 climate scenario prediction whereby about half of the agricultural land in the Kibwezi East Sub County was highly unsuitable for green gram production. The Habitat suitability predictions showed that Thange ward out of the four wards in the location was the most suitable for green gram production. However, as per the predictions its suitability for green gram production may be affected by climate change under all climate scenarios. Results from this study give decision-makers a foundational understanding of the likely effects of climate change in the 2050s compared to the present scenario on habitat suitability for green gram production and a basis for creating strategies and policies to enhance adaptation and create resilience to its effects.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678687","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}
{"title":"Farmers’ knowledge and perceptions of Cassava (Manihot esculenta Crantz) diseases and management","authors":"D. V. Claudette, Tchouamo Isaac Roger","doi":"10.25081/jsa.2024.v8.9000","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.9000","url":null,"abstract":"This study aimed to examine farmers’ understanding and views on Cassava diseases and control methods. To achieve the former, k-means clustering and Principal Component Analysis (PCA) were used to identify and visualize response patterns for each group of variables relating to farmers’ understanding of Cassava diseases and control methods, and heatmaps were used to detail the characteristics of each pattern. To achieve the latter, bar plots were used to visualize variables related to farmers’ views. Out of 22 response patterns relating to causes of Cassava Mosaic Disease (CMD), 11 didn’t link a virus to CMD symptoms, while only one pattern associated CMD symptoms with a virus, the whitefly, and infected cuttings, indicating a lack of farmers’ knowledge on cassava viral diseases. Also, only 18.88% of farmers know about Cassava diseases and management technologies. This study highlights the urgent need for education and resources for farmers to safeguard their crops and livelihoods.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"23 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685544","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}
Samuel Erima, Moses Nyine, Richard Edema, Allan Nkuboye, J. Nakibuule, Pamela Paparu
{"title":"Morphological and pathogenic characterization of Fusarium species causing common bean root rot in Uganda","authors":"Samuel Erima, Moses Nyine, Richard Edema, Allan Nkuboye, J. Nakibuule, Pamela Paparu","doi":"10.25081/jsa.2024.v8.8849","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.8849","url":null,"abstract":"Fusarium root rot (FRR) of common bean occurs in Africa, Central and South America, and causes yield losses of up to 86%. Recently, FRR-like wilt symptoms were observed in Uganda’s agroecology zones. To identify the causal pathogen, we conducted surveys in seven agroecology zones to determine the prevalence and incidence of the reported disease. During the surveys, diseased roots were collected for pathogen isolation. Fungal strains were characterized using colony color, mycelial growth rate and microscopic structures such as conidia and microconidia. The pathogenicity of 99 strains on five bean varieties was determined in artificially inoculated soils in the screenhouse. Based on field symptoms, the observed wilting was identified to be Fusarium root rot, the prevalence of which varied across agroecologies, with the highest (95%) in the Karamoja pastoral zone (KP) and the lowest (40%) in West Nile farming system (WN). Similarly, the incidence of FRR was highest (87%) in KP, and lowest (20%) in WN. Fusarium strains differed in growth rate, colony color, shape and size of microscopic structures. All evaluated strains were pathogenic on common bean and caused severities of 0.9 to 98.3%. Further studies are required to identify the isolated strains at the species level using molecular tools.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"16 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106674","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}
M. D. Rao, B. N. Reddy, P. P. R. Reddy, G. S. M. Reddy
{"title":"Estimation of land and manpower needs for year-round supply of green fodder (Super Napier) to dairy cattle through time studies and crop cutting experiments","authors":"M. D. Rao, B. N. Reddy, P. P. R. Reddy, G. S. M. Reddy","doi":"10.25081/jsa.2024.v8.8800","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.8800","url":null,"abstract":"The present study was undertaken to determine the land and manpower needed for the production of Super Napier fodder for the year-round feeding of dairy cattle present in Livestock Research Station, Mahanandi, Nandyal district, Andhra Pradesh through time studies and crop cutting experiments. The occasional activities of fodder production such as tillage, planting, irrigation and fertilizer application required 113.97 ± 7.31, 35.81 ± 0.98, 8.45 ± 0.31 and 0.56 ± 0.03 man-hours per acre, respectively, while the daily activities of fodder production such as harvesting of fodder, loading of fodder bundles, transport, chaffing and feeding took 5.64 ± 0.19, 1.86 ± 0.11, 0.24 ± 0.01, 0.93 ± 0.06 and 0.34 ± 0.01 man-hours per ton, respectively. Among the tillage operations, weeding required the most time (105.83 ± 6.90 man-hours per acre) and the application of an adjusted cultivator required the least time (0.64 ± 0.07 man-hours per acre). The cutting of planting material into stem cuttings and the harvesting of the planting material consumed the highest (16.52 ± 0.62 man-hours per acre) and lowest (3.97 ± 0.28 man-hours per acre) time, respectively, among the planting operations. There was a significant difference between two labourers of the same age in the application of adjusted cultivator (P < 0.01) and furrow irrigation (P < 0.05). The mean fresh yield of fodder in the farm was 16.73 ± 1.62 tons per acre per harvest or 100.40 ± 9.72 tons per acre per annum. Based on the results, it was concluded that one acre of cultivable land managed by a single person is sufficient for ensuring the year-round feeding of seven dairy animals under Super Napier fodder production.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"39 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139810070","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}
M. D. Rao, B. N. Reddy, P. P. R. Reddy, G. S. M. Reddy
{"title":"Estimation of land and manpower needs for year-round supply of green fodder (Super Napier) to dairy cattle through time studies and crop cutting experiments","authors":"M. D. Rao, B. N. Reddy, P. P. R. Reddy, G. S. M. Reddy","doi":"10.25081/jsa.2024.v8.8800","DOIUrl":"https://doi.org/10.25081/jsa.2024.v8.8800","url":null,"abstract":"The present study was undertaken to determine the land and manpower needed for the production of Super Napier fodder for the year-round feeding of dairy cattle present in Livestock Research Station, Mahanandi, Nandyal district, Andhra Pradesh through time studies and crop cutting experiments. The occasional activities of fodder production such as tillage, planting, irrigation and fertilizer application required 113.97 ± 7.31, 35.81 ± 0.98, 8.45 ± 0.31 and 0.56 ± 0.03 man-hours per acre, respectively, while the daily activities of fodder production such as harvesting of fodder, loading of fodder bundles, transport, chaffing and feeding took 5.64 ± 0.19, 1.86 ± 0.11, 0.24 ± 0.01, 0.93 ± 0.06 and 0.34 ± 0.01 man-hours per ton, respectively. Among the tillage operations, weeding required the most time (105.83 ± 6.90 man-hours per acre) and the application of an adjusted cultivator required the least time (0.64 ± 0.07 man-hours per acre). The cutting of planting material into stem cuttings and the harvesting of the planting material consumed the highest (16.52 ± 0.62 man-hours per acre) and lowest (3.97 ± 0.28 man-hours per acre) time, respectively, among the planting operations. There was a significant difference between two labourers of the same age in the application of adjusted cultivator (P < 0.01) and furrow irrigation (P < 0.05). The mean fresh yield of fodder in the farm was 16.73 ± 1.62 tons per acre per harvest or 100.40 ± 9.72 tons per acre per annum. Based on the results, it was concluded that one acre of cultivable land managed by a single person is sufficient for ensuring the year-round feeding of seven dairy animals under Super Napier fodder production.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"63 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139870094","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}
Wajid Ali Hisbani, Abdul Malik Solangi, M. A. Laghari, Ghulam Murtaza Channa
{"title":"Effect of micron (micronutrients) fertilizer on the growth and yield of Wheat variety Sarsabz","authors":"Wajid Ali Hisbani, Abdul Malik Solangi, M. A. Laghari, Ghulam Murtaza Channa","doi":"10.25081/jsa.2023.v7.8648","DOIUrl":"https://doi.org/10.25081/jsa.2023.v7.8648","url":null,"abstract":"The Department of Chemistry Soil Section Agriculture Research Institute, Tando Jam, conducted an examination in order to find out how micron (micronutrient) fertilizer affected the growth and yield of the wheat variety Sarsabz. Three replicates of a Randomized Complete Block Design were used to investigate the effects of micron (micronutrients) fertilizer utilized at rates of 0, 50, 100, and 150 kg ha-1 having a plot size of 46 m x 44 m. The results of the study revealed that applying micronutrient fertilizer to crops significantly altered the crop’s parameters. The application of Micron (micronutrients) fertilizer applied at a rate of 150 kg ha-1, with proposed N (168) and P (84) doses, resulting in the maximum wheat plant height (101.73), more tillers plant-1 (9.73), spike length (13.7), more grain spike-1 (51.66), heavier seeds (39.3), and higher grain yield (3453.3 kg ha-1). Therefore the micro nutrient is essential for achieving maximum yield production and should be applied with recommended doses on the wheat crop, performed better results in soil conditions of Tando Jam.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":" 1193","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960135","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}
Enow Takang Achuo Albert, Ngalle Hermine Bille, Bell Joseph Martin, Ngonkeu Mangaptche Eddy Leonard
{"title":"Integrating genetic markers and adiabatic quantum machine learning to improve disease resistance-based marker assisted plant selection","authors":"Enow Takang Achuo Albert, Ngalle Hermine Bille, Bell Joseph Martin, Ngonkeu Mangaptche Eddy Leonard","doi":"10.25081/jsa.2023.v7.8556","DOIUrl":"https://doi.org/10.25081/jsa.2023.v7.8556","url":null,"abstract":"The goal of this research was to create a more accurate and efficient method for selecting plants with disease resistance using a combination of genetic markers and advanced machine learning algorithms. A multi-disciplinary approach incorporating genomic data, machine learning algorithms and high-performance computing was employed. First, genetic markers highly associated with disease resistance were identified using next-generation sequencing data and statistical analysis. Then, an adiabatic quantum machine learning algorithm was developed to integrate these markers into a single predictor of disease susceptibility. The results demonstrate that the integrative use of genetic markers and adiabatic quantum machine learning significantly improved the accuracy and efficiency of disease resistance-based marker-assisted plant selection. By leveraging the power of adiabatic quantum computing and genetic markers, more effective and efficient strategies for disease resistance-based marker-assisted plant selection can be developed.","PeriodicalId":488607,"journal":{"name":"Journal of scientific agriculture","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981414","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}