Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden

Tree Genetics and Genomes

Volumn 13, Issue 1, 2017, Pages

  Chen, Zhi Qiang ^a   Karlsson, Bo ^b   Wu, Harry X ^a,c  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b THE FORESTRY RESEARCH INSTITUTE OF SWEDEN   (Sweden)

^c CSIRO   (Australia)

Author keywords

Cluster analysis; Factor analysis; G E interaction; MET; Picea abies

Indexed keywords

EID: 85010782659     PISSN: 16142942     EISSN: 16142950     Source Type: Journal    
DOI: 10.1007/s11295-017-1103-6     Document Type: Article

References (50)

1. Apiolaza LA (2012) Basic density of radiata pine in New Zealand: genetic and environmental factors. Tree Genet Genomes 8:87–96. doi:10.1007/s11295-011-0423-1
2. Baltunis BS, Gapare WJ, Wu HX (2010) Genetic parameters and genotype by environment interaction in radiata pine for growth and wood quality traits in Australia. Silvae Genet 59:113–124
3. Bentzer BG, Foster GS, Hellberg AR, Podzorski AC (1988) Genotype × environment interaction in Norway spruce involving three levels of genetic control: seed source, clone mixture, and clone. Can J For Res 18:1172–1181. doi:10.1139/x88-180
4. Berlin M, Jansson G, Högberg K-A (2014) Genotype by environment interaction in the southern Swedish breeding population of Picea abies using new climatic indices. Scand. J For Res 30:112–121. doi:10.1080/02827581.2014.978889
5. Burdon RD (1977) Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genet 26:168–175
6. Burgueño J, Crossa J, Cornelius PL, Yang R-C (2008) Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction. Crop Sci 48. doi:10.2135/cropsci2007.11.0632
7. Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2009) ASReml-R reference manual. The State of Queensland, Department of Primary Industries and Fisheries, Brisbane
8. Campbell RK, Sorensen FC (1978) Effect of test environment on expression of clines and on delimitation of seed zones in Douglas-fir. Theor Appl Genet 51:233–246. doi:10.1007/bf00273770
9. Costa e Silva J, Graudal L (2008) Evaluation of an international series of Pinus kesiya provenance trials for growth and wood quality traits. Forest Ecol Manag 255:3477–3488. doi:10.1016/j.foreco.2008.02.027
10. Costa e Silva J, Dutkowski GW, Gilmour AR (2001) Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual. Can J For Res 31:1887–1893. doi:10.1139/x01-123
11. Costa e Silva J, Potts B, Dutkowski G (2006) Genotype by environment interaction for growth of Eucalyptus globulus in Australia. Tree Genet Genomes 2:61–75. doi:10.1007/s11295-005-0025-x
12. Cullis BR, Smith AB, Beeck CP, Cowling WA (2010) Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis. Genome 53:1002–1016. doi:10.1139/g10-080
13. Cullis BR, Jefferson P, Thompson R, Smith AB (2014) Factor analytic and reduced animal models for the investigation of additive genotype-by-environment interaction in outcrossing plant species with application to a Pinus radiata breeding programme. Theor Appl Genet 127:2193–2210. doi:10.1007/s00122-014-2373-0
14. Danell Ö (1993) Breeding programmes in Sweden. 1. General approach. Progeny testing and breeding strategies: Proceedings of the Nordic Group of Tree Breeders, Edinburgh:6–10
15. Dutkowski GW, Costa e Silva J, Gilmour AR, Wellendorf H, Aguiar A (2006) Spatial analysis enhances modelling of a wide variety of traits in forest genetic trials. Can J For Res 36:1851–1870
16. Dutkowski G, Ivković M, Gapare WJ, McRae TA (2016) Defining breeding and deployment regions for radiata pine in southern Australia. New For 47:783–799. doi:10.1007/s11056-016-9544-6
17. Finlay K, Wilkinson G (1963) The analysis of adaptation in a plant-breeding programme. Aust J Agric Res 14:742–754. doi:10.1071/AR9630742
18. Fox GP, Bowman J, Kelly A, Inkerman A, Poulsen D, Henry R (2007) Assessing for genetic and environmental effects on ruminant feed quality in barley (Hordeum vulgare). Euphytica 163:249–257. doi:10.1007/s10681-007-9638-5
19. Freeman GH (1973) Statistical methods for the analysis of genotype-environment interactions. Heredity 31:339–354
20. Fu Y-B, Yanchuk AD, Namkoong G (1999) Spatial patterns of tree height variations in a series of Douglas-fir progeny trials: implications for genetic testing. Can J For Res 29:714–723. doi:10.1139/x99-046
21. Gauch HG (1992) Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier Science Publishers
22. Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2009) ASReml user guide release 3.0. VSN International Ltd, Hemel Hempstead
23. Gilmour AR, Gogel BJ, Cullis BR, Welham SJ, Thompson R (2015) ASReml user guide release 4.1. VSN International Ltd, Hemel Hempstead
24. Hamann A, Gylander T, Chen P-y (2011) Developing seed zones and transfer guidelines with multivariate regression trees. Tree Genet Genomes 7:399–408. doi:10.1007/s11295-010-0341-7
25. Hannrup B, Jansson G, Danell Ö (2008) Genotype by environment interaction in Pinus sylvestris L. in southern Sweden. Silvae Genet 57:306–311
26. Hardner CM, Dieters M, Dale G, DeLacy I, Basford KE (2010) Patterns of genotype-by-environment interaction in diameter at breast height at age 3 for eucalypt hybrid clones grown for reafforestation of lands affected by salinity. Tree Genet Genomes 6:833–851. doi:10.1007/s11295-010-0295-9
27. Ivković M, Gapare W, Yang H, Dutkowski G, Buxton P, Wu H (2015) Pattern of genotype by environment interaction for radiata pine in southern Australia. Ann For Sci 72:391–401. doi:10.1007/s13595-014-0437-6
28. Johnson G (2004) Common families across test series − how many do we need? For Genet 11:103–112
29. Karlsson B, Högberg K (1998) Genotypic parameters and clone x site interaction in clone tests of Norway spruce (Picea abies (L.) karst.). For Genet 5:21–30
30. Karlsson B, Wellendorf H, Roulund H, Werner M (2001) Genotype × trial interaction and stability across sites in 11 combined provenance and clone experiments with Picea abies in Denmark and Sweden. Can J For Res 31:1826–1836
31. Kempton RA (1984) The use of biplots in interpreting variety by environment interactions. J Agric Sci 103:123–135
32. Kroon J, Ericsson T, Jansson G, Andersson B (2011) Patterns of genetic parameters for height in field genetic tests of Picea abies and Pinus sylvestris in Sweden. Tree Genet Genomes 7:1099–1111. doi:10.1007/s11295-011-0398-y
33. Mathews KL, Chapman SC, Trethowan R, Pfeiffer W, Ginkel M, Crossa J, Payne T, DeLacy I, Fox PN, Cooper M (2007) Global adaptation patterns of Australian and CIMMYT spring bread wheat. Theor Appl Genet 115:819–835. doi:10.1007/s00122-007-0611-4
34. McKeand S, Amerson H, Li B, Mullin T (2003) Families of loblolly pine that are the most stable for resistance to fusiform rust are the least predictable. Can J For Res 33:1335–1339
35. McRae T, Dutkowski GW, Pilbeam D, Powell MB, Tier B (2004) Genetic evaluation using the TREEPLAN system. In: Li B, McKeand SE (eds) Forest genetics and tree breeding in the age of genomics: progress and future. IUFRO Joint Conference of Division 2, Charleston, SC, USA, 1–5 November 2004 2004. pp 388–399
36. Namkoong G (1985) The influence of composite traits on genotype by environment relations. Theor Appl Genet 70:315–317. doi:10.1007/bf00304918
37. Piepho HP (1998) Methods for comparing the yield stability of cropping systems. J Agron Crop Sci 180:193–213. doi:10.1111/j.1439-037X.1998.tb00526.x
38. R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
39. Rehfeldt GE (1983) Adaptation of Pinus contorta populations to heterogeneous environments in northern Idaho. Can J For Res 13:405–411. doi:10.1139/x83-061
40. Rosvall O, Ståhl P, Almqvist C, Anderson B, Berlin M, Ericsson T, Eriksson M, Gregorsson B, Hajek J, Hallander J (2011) Review of the Swedish tree breeding programme. Arbetsrapport, Skogforsk, Uppsala Science Park, Uppsala:114
41. Smith A, Cullis B, Thompson R (2001) Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics 57:1138–1147. doi:10.1111/j.0006-341X.2001.01138.x
42. Smith AB, Ganesalingam A, Kuchel H, Cullis BR (2015) Factor analytic mixed models for the provision of grower information from national crop variety testing programs. Theor Appl Genet 128:55–72. doi:10.1007/s00122-014-2412-x
43. St. Clair J, Kleinschmit J (1986) Genotype-environment interaction and stability in ten-year height growth of Norway spruce clones (Picea abies karst.). Silvae Genet 35:177–185
44. Thompson R, Cullis B, Smith A, Gilmour A (2003) A sparse implementation of the average information algorithm for factor analytic and reduced rank variance models. Aust N Z J Stat 45:445–459. doi:10.1111/1467-842X.00297
45. Wang T, O'Neill GA, Aitken SN (2010) Integrating environmental and genetic effects to predict responses of tree populations to climate. Ecol Appl 20:153–163. doi:10.1890/08-2257.1
46. Wu HX, Matheson AC (2005) Genotype by environment interactions in an Australia-wide radiata pine diallel mating experiment: implications for regionalized breeding. For Sci 51:29–40
47. Wu HX, Ying CC (1998) Stability of resistance to western gall rust and needle cast in lodgepole pine provenances. Can J For Res 28:439–449. doi:10.1139/x98-009
48. Wu HX, Ying CC (2004) Geographic pattern of local optimality in natural populations of lodgepole pine. For Ecol Manag 194(1–3):177–198
49. Ye T, Jayawickrama KS (2008) Efficiency of using spatial analysis in first-generation coastal Douglas-fir progeny tests in the US Pacific northwest. Tree Genet Genomes 4:677–692. doi:10.1007/s11295-008-0142-4
50. Zobel RW, Wright MJ, Gauch HG (1988) Statistical analysis of a yield trial. Agron J 80:388–393