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This article explores the objectives, advantages, and disadvantages of conducting tree evaluations on a station. It covers trial types, specimen trials, species/provenance trials, provenance tests, and family trials. The text emphasizes factors to consider when planning trials and highlights the significance of such evaluations.
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Tree evaluation on station Tony Simons, ICRAF, Kenya
Tree evaluation on station • Objectives of evaluation • Advantages of work on station • Disadvantages of work on station • Types of trials
1. Objectives of evaluation • Trials cost in terms of both time and money, so: • Why is the trial needed? • What hypothesis are you testing? • How many treatments do I need/have? • What do you plan to measure? How often? • Has anyone else researched this before? • (CSIRO, CIRAD, CATIE, EMBRAPA, DFSC, OFI, ASEAN, Winrock) • How long is the trial envisaged to last? • What will the trial lead to? • Can it be done satisfactorily on farm? • Are you trying to get too much/too little from it?
2. Advantages of work on station • Ease of access, more frequent monitoring • Nursery is usually closer, planting done quicker • Better control of the conditions (water, weeds, etc) • Need for fewer replicates as less variable site • Better security (theft, interference, fire) • Fewer constraints on what is permissible • Gain understanding before going on farm • Trials can be larger and/or more complicated • Visitors can see many trials in one place • Often historical records (field and climate) • May have a conservation role (don’t over play)
3. Disadvantages of work on station • May be unrepresentative of farmers’ conditions • - lead to false conclusions for on farm work • - farmers don’t relate to it • - the control treatment may be misleading • Can be expensive to maintain • Researchers can be reluctant to close trials • Default time fillers for labourers
4. Types of trials • Species trials • Species/provenance trials • Provenance tests • Provenance/family trials • Family (progeny) tests • Clonal trials • Management trials
A. Species trials • Four kinds - Elimination (> 10 species, arboreta) • - Comparative (2-10 species) • - Proving trials (1-2 species) • - Modelling (e.g. WaNuLCaS) • What is the species required for? • How many species are available? • What is likely to grow well? (species-site matching) • Exotic/indigenous? • Does the seedlot represent the species? (# prov.) • Careful if species have contrasting growth
A. Species trials (cont.) • Appropriate plot designs: (usually with border trees/rows) • - blocks (square, rectangular) • - lines • Plant at final spacing or thin? (50% diagonally) • What is the control? • Beware of confounding (species x management) • Problems arise if survival is moderate to low • Need sufficient number of trees (>50 trees) • Although often suggested, few species mixtures • Encourage correct botanic nomenclature • Biosafety considerations (weediness, quarantine) • What is the species required for?
Square plots (measured trees/total) 3 x 3 (1/9) 4 x 4 (4/16) 5 x 5 (9/25) 6 x 6 (16/36) 7 x 7 (25/49) 8 x 8 (36/64)
36.8 40.1 Species A Species B Fruit yield (kg)
36.8 40.1 Species A Species B Fruit yield (kg)
B. Species/provenance trials • Several provenances tested per species • Objective: (a) to identify best species • (b) to identify best provenance (s,xs) • Not necessary to have equal numbers of provenances per species, but if unbalanced be cautious with species comparisons • Design and analysis is more complex • What is the species required for?
C. Provenance tests • expect 2-5 fold differences between provenances • ensure seedlot has broad genetic base • (>30 parent trees) • depending on objectives and species, then • need 100-400 trees • is the material well documented? • can you get more seed if it is needed? • do you plan to convert the trial to a seed stand? • where most G x E tests are done (interpret/use?) • to date few done on farm, more could be
D. Provenance/family trials • Several families tested per provenance • Objective: (a) to identify best provenances • (b) to identify best families (p,xp) • (c) to calculate genetic parameters • Not necessary to have equal numbers of families per provenance, but if unbalanced be cautious with provenance comparisons • Require >30 families per provenance • Design and analysis is most complex • What is the species required for?
E. Family (progeny) tests • Used for calculating genetic parameters (s.e.) • - these are age, site, population, trait specific • Used to identify best families (backward seln - cso) • Used to identify next parents (forward seln) • Used for phenology studies, breeding system • Can be full-sib (we know mother and father) or half-sib (we know only mother) • Require >30 families, many more for family seln • Generally require >20 trees per family • What is the species required for?
Height (m) at 12 months for 30 families of Prunus africana Overall mean = 1.0
Height (m) at 12 months for 3 (of 30) families of Prunus africana Overall mean = 1.0, mean of three = 1.4
F. Clonal trials • To observe clonal differences for selection • To determine clonal repeatability • To determine any “c” effects • Can be used for clonal seed orchards, if rogue • Can be used to set up mother blocks, if rogue • Good for mating system experiments • What is the species required for?
G. Management trials • careful to ensure relevance to on-farm conditions • can investigate individual factors and interactions: • - spacing • - thinning • - watering • - pruning • - fertilising • - shading • - microsymbionts • - topworking, grafting, budding • - nursery carry-over experiments
Most published tree species and provenance trials are for commercial forestry species Caution needed in AF with: - different designs - replication - farmer’s objectives …especially if extrapolating from a temperate trial
If you are going to do advanced • improvement then don’t shortcut • trials • Get your species right • Get your founder material • right
It is desirable if you can carry your blocking through from the nursery to the field.
Trials can be converted to seed stands, … composition, design, layout, numbers, management