Research Methods in Agriculture

Research Methods, 5112, 2015

Final Exam: Friday, May 1, 9:00 to 10:30 am (Room 463)

Dr. Norman E. Borlaug

Replies from Biological Research 1979

Replies from Biological Research, 1979
Data Requirements
Need 2-4 years/locations/sites/trials
Need at least 3 replications

Need at least 10 treatments
Grain yield (yield value of any kind)
NDVI
 
Need to discuss the value of good tables:  Digit precision needed, footnotes, (use examples)  
ADDED Data
OSU Long-Term Experiments

Experiment 502, Lahoma, Oklahoma

Experiment 222, Stillwater, Oklahoma

STUDENT NAME OSU E-MAIL  
Alidekki, Daniel ssajjadaniel@yahoo.com Uganda  
  Hand Planters for Africa PPT file  
       
DIAITE-KOUMBA, MAME FATOU SIBY DIAITEK@OKSTATE.EDU Senegal
Drought and Poor Soil Fertilty in SSA PPT file
 

https://www.youtube.com/watch?v=PADObJf5TSI

   
       
DRIVER, ETHAN CHARLES EDRIVER@OKSTATE.EDU California
  Economic Impacts due to irrigation water reductions in the Sacramento Valley
       
ERVIN, LINDA SHAWNTEL SHAWNTEL.ERVIN@OKSTATE.EDU Oklahoma  
  Getting N Rates Right PPT File  
       
JONES, JOHN W BILL.JONES@OKSTATE.EDU Oklahoma  
  Optimizing Canola Winter Survivability PPT File  
       
LASQUITES, JAMES JADE SEBIAL JAMESJADE.LASQUITES@OKSTATE.EDU Philippines  
  C4 Rice    
       
MORANDIN FIGUEIREDO, BRUNO BRUNOM@OKSTATE.EDU Brazil  
  Effect of Micronutrient Fertilizer PPT File  
       
GOLDEN, MELISSA RAE MELISSA.GOLDEN@OKSTATE.EDU Oklahoma  
  Optimum Growth Window for NDVI Sensing PPT File  
       
RAMOS DEL CORSO, MARIANA DELCORS@OKSTATE.EDU Brazil  
  Severe drought in Sau Paulo, Brazil PPT File  
     
Remondet, Nicole remonde@okstate.edu USA  
  Reverse N Lookup, SBNRC PPT File  
       
ZOCA, SAMUEL MENEGATTI SAMUEL.ZOCA@OKSTATE.EDU Brazil  
  In-Season Plant K Determination    
       
WATKINS, PATRICK H PATRICK.WATKINS@OKSTATE.EDU USA  
  Watkins Agricultural Services, LLC    
       
DHILLON, JAGMANDEEP SINGH JAGMAN.DHILLON@OKSTATE.EDU India  
  Use of Indicator Crops for Detecting Corn Deficiencies    
       
 
 
Class Project and Programs (Metric units)

1. Shawntel Ervin (February 5, 2015)
2. MSE vs yield (February 26, 2015) (SAS file without CV)
3. Excel File MSE_Yield April 8, 2015
4. Class Publication (4/21/2015)
5. E502Check
6. Class project, program, 4/21/2015 (3D surface response)

Class PROJECT:
Objectives:

1. To determine the frequency for combining year to year data from long-term experiments
2. To determine the relationship between MSE and yield level
Literature Review:  Need to partition sections

HOMEWORK #2
1.  Run a 3D surface response model (502 and 222) for Mgha = year*CV (need regression output and graphic output).  To do this you will need to compute CV, or retrieve it from our CLASS PROJECT FILE.
2.  Provide a written interpretration for the results


Homework #3
1. Construct contrasts for the following comparisons using data from Experiment 502
a. N rate linear
b. N rate quadratic
c. High P rate (fixed N and K) versus 0P rate
d. High K rate (fixed N and P) versus 0K rate

Homework #4
a. Using our class data set, construct a linear plateau model for (222 and 502 individually) MSE (y) versus Yield (x)
b. report the "joint" and a functional equation (that would describe the model)
c. Was the R2 improved over that of a linear model?  Why or why not?

Homework #5
Class project.  Prepare on one sheet of paper, a project you hope to carry out, into the future. This is the same project as your presentation to the class.  Items to help you include the abstract below and

ASA Abstract
Hand Planter 2015




3. To determine the differences in these relationships when PROC GLM and PROC MIXED are used
http://www.ats.ucla.edu/stat/sas/library/GLMvsMIXED_os.htm

PROC GLM vs PROC MIXED
Spring Semester Academic Calendar
spring break (March 16-20)
March 24, March 26
March 31, April 2
April 7, April 9
April 14,
April 16, Daniel Alidekki, Mame Diate-Koumba, Ethan Driver
April 21, Shawntel Ervin, Bill Jones
April 23, James Lasquites, Bruno Figueiredo, Melissa Golden, Jagmandeep Dhillon
April 28, Nicole Remondet, Samuel Zoca, Patrick Watkins, Mariana Ramos Del Corso
April 30, FINAL Review
(Final Exam, Friday, May 1, 9-10:30am, Room 463)
Type I versus Type II

FINAL EXAM: 2015

Topics:
1. The "Experimental Method" (defined)
2. The "Scientific Method"
3. Formulation of hypotheses
  3b. 15 Steps to Good Research (Georgetown)
  3c. How to Have a Bad Career in Research
  3d. Advice on Research and Writing  (ASA abstract)
4. By-Plant Corn Studies

5. -When should I block, How should I block?

Mead soil test P levels, pre treatment application
Mead, NE, initial soil test P levels
      
-RCBD vs CRD,
  Coefficiants for Orthogonal Contrasts (pdf sheet)

  Checklist for Troubleshooting Non-estimatable Contrasts

7. Covariance, Autocorrelation

Collecting Added Data:  When is this useful? 
Why collect Added Data?
Who is the expert on your particular study?

Discussion (Testing)
Univariate, Testing for a Normal Distribution  
    Jana Disease Data  * * (non-parametric statistics, Proc Rank, Proc Univariate)
    New Algorithm 2007

8. Regression Analysis
     This page includes Linear Plateau
                               Linear-Linear
                               Confidence Intervals about regression
                               Statility Analysis (several)
                               Slope and intercept differences

9. Applied Statistical Procedures
       -regression versus ANOVA
       -Cate-Nelson and Linear-Plateau

Mean Separation: Calculation of the SED and LSD

SED = square root (2*MSE/reps) = square root (2*s2/reps)

10. Special Topics

Stability programs now on main page


Jay Goos (N fertilizer products, discuss experimental design)
calories/serving (SOIL 4234)

global warming from the animal industry

Nitrogen Use Efficiency, Nitrogen Fertilizers, NUE, Nitrogen and the Environment