Integrating parental breeding value, genetic gain, and gamete contribution for elite family selection in Platycladus orientalis

Abstract

Platycladus orientalis (L.) Franco seed orchards play an important role in sustainable forestry in China but balancing genetic gain and genetic diversity remains a significant challenge. Two key factors influence the success of seed orchards: parental breeding value and gamete contribution, as they determine both the genetic gain and diversity of the seed crops produced. This study aimed to optimize breeding strategies by analyzing parental breeding value, gamete contribution, and genetic gain across two growth periods (89 families in 2008 and 52 families in 2021). We evaluated height, diameter at breast height, and stem volume of progeny in a primary seed orchard, uncovering significant genetic variation among families. Interestingly, no correlation was found between growth traits and gamete contribution, indicating their independence. Using comprehensive scoring and PCA-biplot analysis, we consistently identified several elite families with superior growth performance in both years. We propose an optimal breeding strategy that combines 30% selective harvesting and 50% selective thinning to effectively balance genetic gain and genetic diversity, addressing a critical goal in tree improvement programs. The selected families and optimized strategy provide a scalable framework not only for P. orientalis but also for other conifer species globally, enhancing both productivity and genetic diversity in afforestation efforts.

Keywords

Platycladus orientalis / Progeny test / Comprehensive evaluation / Genetic gain / Breeding strategy

References

[1] Bilir N, Kang KS, Zang D, Lindgren D. Fertility variation and status number between a base population and a seed orchard of Pinus brutia. Silvae Genet, 2004, 53(1–6): 161-163

[2] Chen JZ 2006 The strategies of seed orchard management based on analysis of status number in Pinus tabulaefomis. Master’s Thesis Forestry Genetic and Tree Breeding, Beijing Forestry University Beijing. (in Chinese)

[3] Deng WP, Jia GD, Liu YQ, Chen Q, Huang JH, Wen LS, Liu XJ, Jia JB, Peng SL. Long-term study on the seasonal water uptake of Platycladus orientalis in the Beijing mountain area, northern China. Agric for Meteorol, 2021, 307 108531

[4] Funda T, El-Kassaby YA. Seed orchard genetics. CAB reviews: perspectives in agriculture veterinary science nutrition and natural resources. CAB Online J, 2012, 7: 1-23

[5] Gower JC, Lubbe SG, le Roux NJ. Understanding biplots, 2011, New York, Wiley463

[6] Griffin AR. Clonal variation in Radiata pine seed orchards. Part II: flowering phenology. Aust for Res, 1984, 14: 271-281

[7] Gwazel DP, Bridgwaterz FE. Determining the optimum selection age for diameter and height in loblolly pine. Forest Genet, 2002, 9(2): 159-165

[8] Han ZQ, Gao P, Geng XN, Du K, Kang XY. Identification of the male parent of superior half-sib Populus tomentosa individuals based on SSR markers. Mol Breed, 2017, 37(12 155

[9] Hasan NS, Choudhary S, Naaz NS, Sharma N, Laskar RA. Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes. J Genet Eng Biotechnol, 2021, 19(1): 128

[10] Hong Z, Fries A, Wu HX. High negative genetic correlations between growth traits and wood properties suggest incorporating multiple traits selection including economic weights for the future Scots pine breeding programs. Ann for Sci, 2014, 71(4463-472

[11] Huang LS, Song JY, Sun YQ, Gao Q, Jiao SQ, Zhou SS, Jin YQ, Yang XL, Zhu JJ, Gao FL, El-Kassaby YA, Mao JF. Pollination dynamics in a Platycladus orientalis seed orchard as revealed by partial pedigree reconstruction. Can J for Res, 2018, 48(8): 952-957

[12] Huang R, Wang RH, Wei RP, Yan S, Wu GD, Zheng HQ. Selection for both growth and wood properties in Chinese fir breeding parents based on a 6-year grafted clone test. Forests, 2023, 14(9): 1774

[13] Ide Y. Genetics and improvement of forest trees. Forests, 2021, 12(2182

[14] Isik F. Genomic selection in forest tree breeding: the concept and an outlook to the future. New for, 2014, 45(3379-401

[15] Jansson G, Li BL, Hannrup B. Time trends in genetic parameters for height and optimal age for parental selection in Scots pine. For Sci, 2003, 49(5): 696-705

[16] Jiang LP, Wang JY, Zhang P, Liang DY, Zhang QH, Wang BY, Pei XN, Zhao XY. Variation and selection of growth and fruit traits among 170 Pinus koraiensis clones. For Res, 2019, 32(1): 58-64

[17] Jiao SQ, Li MY, Zhu YJ, Zhou SS, Zhao SW, Li ZC, Bao YT, Shi TL, Zhang HJ, Yang XL, Zhu JJ, Porth I, El-Kassaby YA, Cheng SP, Li Y, Mao JF. Variation in Platycladus orientalis (Cupressaceae) reproductive output and its effect on seed orchard crops’ genetic diversity. Forests, 2021, 12(11): 1429

[18] Jin YQ, Ma YP, Wang S, Hu XG, Huang LS, Li Y, Wang XR, Mao JF. Genetic evaluation of the breeding population of a valuable reforestation conifer Platycladus orientalis (Cupressaceae). Sci Rep, 2016, 6: 34821

[19] Kang KS, El-Kassaby A. Considerations of correlated fertility between genders on genetic diversity: the Pinus densiflora seed orchard as a model. Theor Appl Genet, 2002, 105(81183-1189

[20] Kim YJ, Jeon K, Lee CB, Kang KS. Comprehensive strategies for managing gene diversity and growth potential of crops by mean of selective cone harvest in a seed orchard of Pinus koraiensis. For Ecol Manage, 2024, 569 122194

[21] Kumar S, Lee J. Age-age correlations and early selection for end-of-rotation wood density in radiata pine. Foresrt Genetics, 2003, 9(4323-330

[22] Kumar R, Das SP, Choudhury BU, Kumar A, Prakash NR, Verma R, Chakraborti M, Devi AG, Bhattacharjee B, Das R, Das B, Devi HL, Das B, Rawat S, Mishra VK. Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing. Biol Res, 2024, 57(1): 80

[23] Lê S, Josse J, Husson F. FactoMineR: AnRPackage for multivariate analysis. J Stat Soft, 2008, 25(11-18

[24] Lee K, Kim IS, Lee SW. Estimation of genetic parameters on growth characteristics of a 35-year-old Pinus koraiensis progeny trial in South Korea. J Forestry Res, 2021, 32(5): 2227-2236

[25] Leksono B, Kurinobu S, Ide Y. Optimum age for selection based on a time trend of genetic parameters related to diameter growth in seedling seed orchards of Eucalyptus pellita in Indonesia. J for Res, 2006, 11(5): 359-364

[26] Li PH, Wang W, Xia XQ. Assessing the effectiveness of carbon cap-and-trade and hybrid subsidy policies: the perspective of production, environment, and consumer. J Clean Prod, 2024, 468 143074

[27] Mao AH, Li JX, Zhang CY, Li QJ, Wang S, Chen XY, Li Y. Geographic variation and provenance selection of Platycladus orientalis in a 19-year-old testing plantation. J Beijing For Univ, 2010, 32(1): 63-68

[28] Meng XY. Dendrometry, 2006, Beijing, China Forestry Publishing House

[29] Mwase WF, Savill PS, Hemery G. Genetic parameter estimates for growth and form traits in common ash (Fraxinus excelsior, L.) in a breeding seedling orchard at Little Wittenham in England. New for, 2008, 36(3): 225-238

[30] Nielsen UB, Hansen OK. Genetic worth and diversity across 18years in a Nordmann fir clonal seed orchard. Ann for Sci, 2012, 69(1): 69-80

[31] Park JM, Kwon SH, Lee HJ, Na SJ, El-Kassaby YA, Kang KS. Integrating fecundity variation and genetic relatedness in estimating the gene diversity of seed crops: Pinus koraiensis seed orchard as an example. Can J for Res, 2017, 47(3): 366-370

[32] Revelle W 2025 psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. In R package version 2.5.3 (ed.).

[33] Safavi SA, Pourdad SS, Taeb M, Khosrowshahli M. Assessment of genetic variation among safflower (Carthamus tinctorius L.) accessions using agro-morphological traits and molecular markers. J Food Agric Environ, 2010, 8: 616-625

[34] Schmidtling R. Genetic variation in fruitfulness in a loblolly pine (Pinus taeda L.) seed orchard. Silvae Genet, 1983, 32: 76-80

[35] Sønstebø JH, Tollefsrud MM, Myking T, Steffenrem A, Nilsen AE, Edvardsen ØM, Johnskås OR, El-Kassaby YA. Genetic diversity of Norway spruce (Picea abies (L.) Karst.) seed orchard crops: effects of number of parents, seed year, and pollen contamination. For Ecol Manage, 2018, 411: 132-141

[36] Sotelo Montes C, Hernández RE, Beaulieu J, Weber JC. Genetic variation in wood color and its correlations with tree growth and wood density of Calycophyllum spruceanum at an early age in the Peruvian Amazon. New for, 2008, 35(1): 57-73

[37] Stoehr M, Webber J, Woods J. Protocol for rating seed orchard seedlots in British Columbia: quantifying genetic gain and diversity. Forestry (Lond), 2004, 77(4): 297-303

[38] Swisher LL, Beckstead JW, Bebeau MJ. Factor analysis as a tool for survey analysis using a professional role orientation inventory as an example. Phys Ther, 2004, 84(9): 784-799

[39] Vidal M, Plomion C, Raffin A, Harvengt L, Bouffier L. Forward selection in a maritime pine polycross progeny trial using pedigree reconstruction. Ann for Sci, 2017, 74(1 21

[40] White TL. A conceptual framework for tree improvement programs. New for, 1987, 1(4): 325-342

[41] White TL, Hodge GR. Best linear prediction of breeding values in a forest tree improvement program. Theor Appl Genet, 1988, 76(5): 719-727

[42] JH Woods 2005 Methods for estimating gamete contributions to orchard seed crops and vegetative lots in British Columbia. Victoria, Forests Range Tech Rep 025.

[43] Xia H, Zhao GH, Zhang LS, Sun XY, Yin SP, Liang DY, Ying L, Zheng M, Zhao XY. Genetic and variation analyses of growth traits of half-sib Larix olgensis families in northeastern China. Euphytica, 2016, 212(3): 387-397

[44] Xian B, Li B, Isik F. Time trend of genetic parameters in growth traits of Pinus taeda L. Silvae Genet, 2003, 52: 114-121

[45] Xie CY, Yanchuk AD. Breeding values of parental trees, genetic worth of seed orchard seedlots, and yields of improved stocks in British Columbia. West J Appl for, 2003, 18(2): 88-100

[46] Zeng LH, Zhang Q, He BX, Lian HM, Cai YL, Wang YS, Luo M. Age trends in genetic parameters for growth and resin-yielding capacity in Masson pine. Silvae Genet, 2013, 62(1–6): 7-17

[47] Zhao XY, Xia H, Wang XW, Wang C, Liang DY, Li KL, Liu GF. Variance and stability analyses of growth characters in half-sib Betula platyphylla families at three different sites in China. Euphytica, 2016, 208(1): 173-186

[48] Zhao XY, Pan YY, Pei XN, Wang FW, Wang CL, Shao LL, Dong LH, Qu GZ. Forward, backward selection and variation analysis of growth traits in half-sib Larix kaempferi families. Silvae Genet, 2019, 68(1): 1-8

Funding

Umea University

RIGHTS & PERMISSIONS

The Author(s)