Bhusal tej narayan (30 Ergebnisse)

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Taschenbuch. Zustand: Neu. Probit and Logit Analysis | Application to discrete dose-response data | Tej Narayan Bhusal | Taschenbuch | 88 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844395501 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. CMS-CERES-Maize model (DSSAT v 4.0) | Calibration, Validation and Simulation of maize growth and yield | Tej Narayan Bhusal | Taschenbuch | 132 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844302721 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. CSM-CERES-Maize model (DSSAT v4.0) | Calibration, Validation and Simulation of Maize Growth and Yield. The 2nd Edition | Tej Narayan Bhusal | Taschenbuch | 132 S. | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207467747 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Discrete data are frequently encountered in the entomological and pathological science of agriculture. The relationship between dose and response has been tested by using the probit and logit anaysis in this book. From the analysis, LC50, LT50, LD50, goodness of fit, anlysis of deviance, etc were tested. Rsults revealed that discrete dose-response data on entomological study is best fitted by using either log-probit or log-logit regression rather than probit and logit regression only. The detainled on work is present inside the book. I hope it help more for the professionals, researcher, students who involved basically in entomology and pathology of agriculture. 88 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, the use of crop model has been increasing exponentially for agro-climatic and site specific resource management to increase the grain yield. Among them, the CMS-CERES-Maize model is one, but, very little academic literature exists on how to best utilize the resource using simulation model to optimize the yield in reference to developing countries like Nepal. Best fit (calibration and validation)of model using the available datasets is prerequisites for its application. Site specific management of resources like nitrogen (dose, time and method), water (amount and time), etc. have increased the yield of maize minimizing their losses in field.Likewise, climate of the year, sowing dates, initial moisture content of the field,etc. also significantly affect on the yield performance. From the findings of this study, we concluded that the change in magnitude of climatic parameters creates stress on the limited resource management to increase the grain yield. Further, The analysis should help shed some light on this new and exciting field and should be especially useful to professionals and anyone else involve in agriculture. 132 pp. Englisch. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhusal Tej NarayanMr. Tej Narayan Bhusal is an assistant professor at IAAS/TU, Nepal (http:/iaas.edu.np). He has been studied MSc Agriculture (Agronomy) in 2008 at IAAS/TU, Nepal and has just passed M. Phil. (Statistics) in 2009 a. …

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, the use of crop model has been increasing exponentially for agro-climatic and site specific resource management to increase the grain yield. Among them, the CMS-CERES-Maize model is one, but, very little academic literature exists on how to best utilize the resource using simulation model to optimize the yield in reference to developing countries like Nepal. Best fit (calibration and validation)of model using the available datasets is prerequisites for its application. Site specific management of resources like nitrogen (dose, time and method), water (amount and time), etc. have increased the yield of maize minimizing their losses in field.Likewise, climate of the year, sowing dates, initial moisture content of the field,etc. also significantly affect on the yield performance. From the findings of this study, we concluded that the change in magnitude of climatic parameters creates stress on the limited resource management to increase the grain yield. Further, The analysis should help shed some light on this new and exciting field and should be especially useful to professionals and anyone else involve in agriculture. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhusal Tej NarayanMr. Tej Narayan Bhusal is an assistant professor at IAAS/TU, Nepal (http:/iaas.edu.np). He has been studied MSc Agriculture (Agronomy) and BSc Agriculture in 2006 and 2008, respectively at IAAS/TU, Nepal. His res.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, the use of crop models has grown exponentially for agro-climatic and site-specific resource management aimed at increasing grain yield. Among these models, CMS-CERES-Maize is one of the most prominent. However, limited academic literature exists on how to best utilize such simulation models to optimize yield in developing countries like Nepal. Calibration and validation using available datasets are prerequisites for effective application. Site-specific management of resources-such as nitrogen (dose, timing, and method) and water (amount and timing)-has been shown to increase maize yield while minimizing losses. Similarly, factors such as annual climate variation, sowing dates, and initial soil moisture content significantly affect yield performance. Findings from this study suggest that changes in the magnitude of climatic parameters can place stress on resource management systems, thereby affecting grain yield. This analysis contributes to a better understanding of this emerging field and may be particularly useful to professionals and others involved in agriculture.…

Zustand: New. Print on Demand pp. 132 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Discrete data are frequently encountered in the entomological and pathological science of agriculture. The relationship between dose and response has been tested by using the probit and logit anaysis in this book. From the analysis, LC50, LT50, LD50, goodness of fit, anlysis of deviance, etc were tested. Rsults revealed that discrete dose-response data on entomological study is best fitted by using either log-probit or log-logit regression rather than probit and logit regression only. The detainled on work is present inside the book. I hope it help more for the professionals, researcher, students who involved basically in entomology and pathology of agriculture.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discrete data are frequently encountered in the entomological and pathological science of agriculture. The relationship between dose and response has been tested by using the probit and logit anaysis in this book. From the analysis, LC50, LT50, LD50, goodness of fit, anlysis of deviance, etc were tested. Rsults revealed that discrete dose-response data on entomological study is best fitted by using either log-probit or log-logit regression rather than probit and logit regression only. The detainled on work is present inside the book. I hope it help more for the professionals, researcher, students who involved basically in entomology and pathology of agriculture.…

Zustand: New. PRINT ON DEMAND pp. 132.

Paperback. Zustand: new. Paperback. In recent years, the use of crop models has grown exponentially for agro-climatic and site-specific resource management aimed at increasing grain yield. Among these models, CMS-CERES-Maize is one of the most prominent. However, limited academic literature exists on how to best utilize such simulation models to optimize yield in developing countries like Nepal. Calibration and validation using available datasets are prerequisites for effective application. Site-specific management of resources-such as nitrogen (dose, timing, and method) and water (amount and timing)-has been shown to increase maize yield while minimizing losses. Similarly, factors such as annual climate variation, sowing dates, and initial soil moisture content significantly affect yield performance. Findings from this study suggest that changes in the magnitude of climatic parameters can place stress on resource management systems, thereby affecting grain yield. This analysis contributes to a better understanding of this emerging field and may be particularly useful to professionals and others involved in agriculture. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, the use of crop model has been increasing exponentially for agro-climatic and site specific resource management to increase the grain yield. Among them, the CMS-CERES-Maize model is one, but, very little academic literature exists on how to best utilize the resource using simulation model to optimize the yield in reference to developing countries like Nepal. Best fit (calibration and validation)of model using the available datasets is prerequisites for its application. Site specific management of resources like nitrogen (dose, time and method), water (amount and time), etc. have increased the yield of maize minimizing their losses in field.Likewise, climate of the year, sowing dates, initial moisture content of the field,etc. also significantly affect on the yield performance. From the findings of this study, we concluded that the change in magnitude of climatic parameters creates stress on the limited resource management to increase the grain yield. Further, The analysis should help shed some light on this new and exciting field and should be especially useful to professionals and anyone else involve in agriculture.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. …

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, the use of crop models has grown exponentially for agro-climatic and site-specific resource management aimed at increasing grain yield. Among these models, CMS-CERES-Maize is one of the most prominent. However, limited academic literature exists on how to best utilize such simulation models to optimize yield in developing countries like Nepal. Calibration and validation using available datasets are prerequisites for effective application. Site-specific management of resources-such as nitrogen (dose, timing, and method) and water (amount and timing)-has been shown to increase maize yield while minimizing losses. Similarly, factors such as annual climate variation, sowing dates, and initial soil moisture content significantly affect yield performance. Findings from this study suggest that changes in the magnitude of climatic parameters can place stress on resource management systems, thereby affecting grain yield. This analysis contributes to a better understanding of this emerging field and may be particularly useful to professionals and others involved in agriculture.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…

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