|
|
||||||||
a Agriculture Victoria, CRC for Molecular Plant Breeding, Pastoral and Veterinary Inst., Private Bag 105, Hamilton, VIC 3300, Australia
b USDA-ARS, U.S. Dairy Forage Research Center, Madison, WI 53706-1108
* Corresponding author (mdcasler{at}wisc.edu).
Spatial analyses of yield trials are a powerful method of adjusting treatment means for spatial variation and improving statistical precision of mean estimation. Because yield trials are typically repeated across multiple locations and years, spatial analysis methods must be adapted for combined analyses across locations and years. The objective of this study was to evaluate the relative efficiency of nearest neighbor analysis (NNA) across locations and years for several perennial forage grass trials. Three spatial adjustment methods were developed: preadjustment based on total forage yield, postadjustment based on total forage yield, and preadjustment based on forage yield of individual harvests. For cool-season grasses on a multiple-harvest management, NNA had relative efficiencies of 105 to 135% across locations, years, and trials. Within trials, there was some consistency across harvests, resulting in greater improvements in precision for adjustment based on total yield. Across locations and years, the three spatial adjustment methods always ranked the same in relative efficiency: preadjustment by harvest > preadjustment of total yield > postadjustment of total yield. The advantage of the preadjustment methods was likely due to fitting heterogeneous slopes (adjustment factors) across locations, years, and/or harvests. In contrast, trials with a single-harvest management for biomass production always had relatively low relative efficiency of NNA. Trial operators should assess the relative efficiency of NNA on early harvests from all locations within a trial and if the relative efficiencies are large, they should consider the use of NNA across locations and years to adjust entry means.
Abbreviations: LSR, least significant range NNA, nearest neighbor analysis Pre-IH, preadjustment by individual harvests RCB, randomized complete block
Related articles in Crop Science:
This article has been cited by other articles:
![]() |
M. D. Casler Among-and-within-Family Selection in Eight Forage Grass Populations Crop Sci., March 19, 2008; 48(2): 434 - 442. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. D. Casler, K. P. Vogel, C. M. Taliaferro, N. J. Ehlke, J. D. Berdahl, E. C. Brummer, R. L. Kallenbach, C. P. West, and R. B. Mitchell Latitudinal and Longitudinal Adaptation of Switchgrass Populations Crop Sci., November 7, 2007; 47(6): 2249 - 2260. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. D. Casler and E. C. Brummer Forage Yield of Smooth Bromegrass Collections from Rural Cemeteries Crop Sci., October 27, 2005; 45(6): 2510 - 2516. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. D. Casler Agricultural Fitness of Smooth Bromegrass Populations Selected for Divergent Fiber Concentration Crop Sci., January 1, 2005; 45(1): 36 - 43. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| The SCI Journals | Agronomy Journal | Vadose Zone Journal | |||
| Journal of Plant Registrations | Soil Science Society of America Journal | ||||
| Journal of Natural Resources and Life Sciences Education |
Journal of Environmental Quality |
||||