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Thursday, October 8, 2020 | History

1 edition of Quantitative evaluation of agrotechnology transfer found in the catalog.

Quantitative evaluation of agrotechnology transfer

Quantitative evaluation of agrotechnology transfer

a methodology using maize response to phosphorus on hydric dystrandepts in the Benchmark Soils Project

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Published by HITAHR, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa in Honolulu, Hawaii (2500 Dole St., Krauss Hall 108, Honolulu 96822) .
Written in English

    Subjects:
  • University of Hawaii at Manoa. Benchmark Soils Project.,
  • Agricultural innovations -- Statistical methods.,
  • Agriculture -- Technology transfer -- Statistical methods.,
  • Plants, Effect of phosphorus on -- Statistical methods.,
  • Corn -- Fertilizers.,
  • Corn -- Soils.,
  • Phosphatic fertilizers.

  • Edition Notes

    StatementFoster B. Cady ... [et al.].
    SeriesBenchmark Soils Project technical report ;, 6, Research series,, 015, BSP tech. rep. ;, 6., Research series (Hawaii Institute of Tropical Agriculture and Human Resources) ;, 015.
    ContributionsCady, Foster B., 1931-, Hawaii Institute of Tropical Agriculture and Human Resources.
    Classifications
    LC ClassificationsS494.5.I5 Q36 1982
    The Physical Object
    Pagination31 p. :
    Number of Pages31
    ID Numbers
    Open LibraryOL3492190M
    LC Control Number82012042

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Quantitative evaluation of agrotechnology transfer Download PDF EPUB FB2

Quantitative Evaluation of Agrotechnology Transfer: A Methodology Using Maize Response to Phosphorus on Hydric Dystrandepts in the Benchmark Soil Project.

Research Series BSP Technical Report 6. Author(s) Cady, F.B.; Chan, C.P.Y.; (et al.), Publisher: College of Tropical Agriculture and Human Resources, University of Hawaii.: HITAHR: Publication year.

Taxonomy and Agrotechnology Transfer The concept of agrotechnology transfer involves at least two aspects if the transfer is to be successful.

The first is research data about soil behavior or response when used for a particular crop or farming system with a specified set of management by: The DSSAT is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, Quantitative evaluation of agrotechnology transfer book crops, and strategy evaluation programs integrated with a ‘shell’ program which is the main user by: Quantitative evaluation of agrotechnology transfer: a methodology using maize response ~o phos- phorus on hydric dystrandepts in the Benchmark Soils Project (Benchmark Soils Project Technical Report No.

6), Hawaii Institute of Tropical Agricultural and Human Resources, Hawaii, 31 pp. Chang, J.-h., Author: R. Hawkins, J. Henao, R. Alegria, E. Celada.

Decision Support System for Agrotechnology Transfer (DSSAT) SUBSTOR Potato model (v) was calibrated using Desiree variety. DSSAT SUBSTOR Potato model simulates on a daily basis the development and growth of potatoes using inputs such as climate, soil and crop management.

The experiment was conducted in Banisogosogo, Fiji Islands, during the potato growing season of Cited by: 1. An Evaluation of Secondary School Nutrition Policy Compliance Using Vending Machine Data From the COMPASS Study in Ontario and Alberta, Canada An Insight Into the Hybrid Adaptation of the RE-AIM Framework in the Evaluation of the Impact of a Multiagency Patient Care Transfer Pathway.

Based on the problem analysis, stakeholders should engage in a process of formulating solutions. This exercise may simply involve rewording the problems and their causes into positive statements or. A Model for Research on Training Effectiveness. DISCLAIMER primary and secondary data collection with qualitative and quantitative analyses so that the benefits of each research technique can be applied to the evaluation of training effectiveness.

Training evaluation is an objective summary of quantitative and qualitative data gathered about the effectiveness of training. The primary purpose of evaluation is to make good decisions about use of organizational resources.

Training evaluation data helps the organization to determine whether trainingFile Size: 2MB. Program evaluation is one of ten essential public health services [8] and a critical organizational practice in public health. [9] Until recently, however, there has been little agreement among public health officials on the principles and procedures for conducting such studies.

Based on a supercomputer system, the research objectives are to provide quantitative evaluation of (1) the current agricultural drought risk of the major grain crops, (2) the contributions of irrigation to the reduction of agricultural droughts, (3) the potential drought risks under extreme droughts in the scenario of groundwater depletion, (4 Cited by: Proceedings of the International Symposium on Minimum Data Sets for Agrotechnology Transfer, MarchICRISAT Center, India.

Patancheru, A P.India: ICRISAT. Projects was the book Soil Resources Data for quantitative and practical examples of the inter­. Curran and colleagues () suggest that evaluation of the intervention’s effectiveness will require or involve use of quantitative measures while evaluation of the implementation process will require or involve use of mixed methods.

When conducting a Hybrid Type 1 design (conducting a process evaluation of implementation in the context of a Cited by: Enter, Organize, & Clean Data. For quantitative data, use Microsoft Excel or another spreadsheet software package to enter your data into an electronic format.

Develop a code book that lists each variable/question name, all of the answer options for each question, and the numerical code you have assigned to each answer option. The suite of crop simulation models in Decision Support Systems for Agrotechnology Transfer (DSSAT) is a very useful tool for sustainable agriculture advancement.

DSSAT, which is used to predict the productivity ranges of crops, also has the flexibility to use geographic information system (GIS), Author: Reshmi Sarkar.

The Quantitative Approach to Evaluation Design in the Transfer Project 43 Benjamin Davis and Sudhanshu Handa 4. Qualitative Methods in Impact Evaluations of Cash Transfer Programmes in the Transfer Project in Sub-Saharan Africa 71 Pamela Pozarny and Clare Barrington 5.

Local Economy-Wide Impact Evaluation of Social Cash Transfer Programmes 94File Size: 2MB. The performance of the Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model to estimate potential nitrogen and phosphorus supply capacities of soils as well as maize grain yield estimates was tested, and next used to estimate yields for available soil profiles within the test by: 1.

In its broadest meaning, to evaluate means to ascertain the worth of or to fix a value on some object. In this book, we use evaluation in a more restricted sense, as program evaluation or interchangeably as evaluation research, defined as a social science activity directed at collecting, analyzing, interpreting, and communicating information about the.

Sample Thesis Titles Completing a thesis is the capstone experience of the QMSS program. Students take this opportunity to apply the tools and methodologies developed through their coursework to questions of particular interest to them.

quantitative tools of investment analysis, analysis of various types of securities, finding and discussing the alternatives for investment decision making.

Summary for the Course The course provides the target audience with a broad knowledge on the key topics of investment analysis and management. Course emphasizes both theoretical. This chapter provides a protocol on how to parameterize the USDA-ARS, Root Zone Water Quality Model (RZWQM2), which contains the DSSAT (Decision Support System for Agrotechnology Transfer) version plant growth modules and the SHAW (Simultaneous .SJR is a prestige metric based on the idea that not all citations are the same.

SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact. View More on Journal Insights.D ecision Support System for Agrotechnology Transfer (DSSAT) is software application program that comprises dynamic crop growth simulation models for over 40 crops.

DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop.