The insignificance of genotype-by-environment interaction suggests a stable bunch component traits in oil palm progenies

Authors

Keywords:

coefficient of variability, genetic variance, heritability, Shukla's stability, Wricke's ecovalence

Abstract

Recently, the development of oil palm varieties with diverse environmental adaptations and high oil productivity has become a critical priority. Analysis of genotype-by-environment (G × E) interactions and stability is a valuable tool for achieving these goals. This study aimed to gather information on the impact of G × E interactions and the stability of several test progenies grown in various environments on bunch component traits. Sixteen progenies were tested in North Sumatra Province and Riau Province. This study used a combined analysis of variance and six stability parameters. Four of the seven bunch component traits showed different responses based on their environment. However, this study did not reveal the influence of G × E interactions on bunch component traits. Nonetheless, a slight G × E variance was observed in the mesocarp-to-fruit (M/F), shell-to-fruit (S/F), kernel-to-fruit (K/F), and kernel-to-bunch (K/B) ratios. Furthermore, we successfully identified several progenies classified as stable with favorable bunch component traits. This shows the potential to produce superior palm oil varieties with good bunch components and the ability to adapt to various environmental conditions.

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References

Abdillah, S. M., Syukur, M., Suwarno, W. B., Ritonga, A. W., & Wahyudi, A. (2023). Genotype sensitivity and adaptability for fruit yield in red and green okra on environmental change. Biodiversitas Journal of Biological Diversity, 24(8), 4289–4298. https://doi.org/10.13057/biodiv/d240810

Acosta-Pech, R., Crossa, J., de los Campos, G., Teyssèdre, S., Claustres, B., Pérez-Elizalde, S., & Pérez-Rodríguez, P. (2017). Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids. Theoretical and Applied Genetics, 130(7), 1431–1440. https://doi.org/10.1007/s00122-017-2898-0

Alamerew, S., & Warsi, M. Z. K. (2015). Hetrosis and combining ability of sub tropical maize inbred lines. African Crop Science Journal, 23(2), 123–133. https://www.ajol.info/index.php/acsj/article/view/117733

Ali, F. S., Shamsudin, R., & Yunus, R. (2014). The effect of storage time of chopped oil palm fruit bunches on the palm oil quality. Agriculture and Agricultural Science Procedia, 2, 165–172. https://doi.org/10.1016/j.aaspro.2014.11.024

Amiruddin, M. D., Nookiah, R., Sukaimi, J., & Hamid, Z. A. (2015). Genetic variation and heritability estimates for bunch yield, bunch components and vegetative traits in oil palm interspecific hybrids. Journal of Agricultural Science and Technology, 5(3), 162–173. https://doi.org/10.17265/2161-6256/2015.03.002

Anuradha, N., Patro, T. S. S. K., Singamsetti, A., Sandhya Rani, Y., Triveni, U., Nirmala Kumari, A., Govanakoppa, N., Lakshmi Pathy, T., & Tonapi, V. A. (2022). Comparative study of AMMI- and BLUP-based simultaneous selection for grain yield and stability of finger millet [Eleusine coracana (L.) Gaertn.] genotypes. Frontiers in Plant Science, 12, 786839. https://doi.org/10.3389/fpls.2021.786839

Appleton, D. R., Teh, H. F., Neoh, B. K., Ooi, E. K., Wong, Y. C., Kwong, Q. B., Yusof, H. M., Chew, F. T., & Harikrishna, K. (2014). Omics: mesocarp biochemistry provides insight into increased oil palm yield. The Planter, 90(1057), 241–254.

Arifin, A. A., Foster, G., & Low, E. (2014). Maximising hydrolysis of sugar (gum/hemicellulose) that binds fruits to stalk and cell to cell; Ensure greater detachment of fruits from stalk and very low viscosity pressed crude that enhances separation of oil during clarification. Proceeding of International Oil Palm Conference 2014.

Badan Pusat Statistik. (2022). Statistik Kelapa Sawit Indonesia 2021. https://www.bps.go.id/publication/2022/11/30/254ee6bd32104c00437a4a61/statistik-kelapa-sawit-indonesia-2021.html

Basnet, B. R., Crossa, J., Dreisigacker, S., Pérez‐Rodríguez, P., Manes, Y., Singh, R. P., Rosyara, U. R., Camarillo‐Castillo, F., & Murua, M. (2019). Hybrid wheat prediction using genomic, pedigree, and environmental covariables interaction models. The Plant Genome, 12(1), 180051. https://doi.org/10.3835/plantgenome2018.07.0051

Basyuni, M., Amri, N., Putri, L. A. P., Syahputra, I., & Arifiyanto, D. (2017). Characteristics of fresh fruit bunch yield and the physicochemical qualities of palm oil during storage in North Sumatra, Indonesia. Indonesian Journal of Chemistry, 17(2), 182–190. https://doi.org/10.22146/ijc.24910

Becker, H. C., & Léon, J. (1988). Stability analysis in plant breeding. Plant Breeding, 101(1), 1–23. https://doi.org/10.1111/j.1439-0523.1988.tb00261.x

Bueraheng, N., Sdoodee, S., Anothai, J., & Eksomtramage, T. (2018). Stability of oil palm (Elaeis guineensis Jacq.) progenies on yield and yield components across environments using AMMI analysis. Australian Journal of Crop Science, 12(08), 1259–1264. https://doi.org/10.21475/ajcs.18.12.08.PNE964

Castañeda-Garzón, S. L., Arguelles Cárdenas, J. H., Hernández, D. R., & Castro Navarro, O. M. (2021). Genotype x environment interaction in Elaeisguineensis and OxG Hybrids of oil palm in Colombia. Acta Agronómica, 70(2), 189–197.

Constantin, M., Ridwani, S., Syukur, M., & Suwarno, A. W. B. (2017). Performance, heritability and genetic advance for oil yield and some economical characters in oil palm (Elaeis guineensis Jacquin) of cameroon. Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy), 45(2), 212–2129. https://doi.org/10.24831/jai.v45i2.14110

Corley, R. H. V., & Tinker, P. B. (2016). The Oil Palm: Fifth Edition. The Oil Palm: Fifth Edition. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118953297

de Resende, M. D. V. (2016). Software Selegen-REML/BLUP: a useful tool for plant breeding. Crop Breeding and Applied Biotechnology, 16(4), 330–339. https://doi.org/10.1590/1984-70332016v16n4a49

Dermail, A., Fuengtee, A., Lertrat, K., Suwarno, W. B., Lübberstedt, T., & Suriharn, K. (2022). Simultaneous selection of sweet-waxy corn ideotypes appealing to hybrid seed producers, growers, and consumers in Thailand. Agronomy, 12(1), 87. https://doi.org/10.3390/agronomy12010087

Dermail, A., Lübberstedt, T., Suwarno, W. B., Chankaew, S., Lertrat, K., Ruanjaichon, V., & Suriharn, K. (2023). Combining ability of tropical × temperate maize inducers for haploid induction rate, R1-nj seed set, and agronomic traits. Frontiers in Plant Science, 14, 1154905. https://doi.org/10.3389/fpls.2023.1154905

Eya’a, N. C., Nsimi, M. A., Ndele, P. H., Ngalle, B. H., Molo, T., Mbo, N. L. F., Fouman, A., Likeng, L.-G. B., Ngando, E. G. F., & Bell, J. M. (2023). A review of main factors involved in the maturation of oil palm (i)Elaeis guineensis(/i) Jacq.) fruit bunches. American Journal of Plant Sciences, 14(7), 727–740. https://doi.org/10.4236/ajps.2023.147049

Fonseca, J. M. O., Klein, P. E., Crossa, J., Pacheco, A., Perez‐Rodriguez, P., Ramasamy, P., Klein, R., & Rooney, W. L. (2021). Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance. The Plant Genome, 14(3), e20127. https://doi.org/10.1002/tpg2.20127

Fox, P. N., Skovmand, B., Thompson, B. K., Braun, H.-J., & Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47(1), 57–64. https://doi.org/10.1007/BF00040364

Francis, T. R., & Kannenberg, L. W. (1978). Yield stability studies in short-season maize. I. a descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58(4), 1029–1034. https://doi.org/10.4141/cjps78-157

Gomez, K. A., & Gomez, A. A. (2005). Statistical Procedures for Agricultural Research. John Wiley & Sons.

Hallauer, A. R., Carena, M. J., & Miranda Filho, J. B. (2010). Quantitative Genetics in Maize Breeding. Springer New York.

Huehn, M. (1990). Nonparametric measures of phenotypic stability. Part 1: Theory. Euphytica, 47(3), 189–194. https://doi.org/10.1007/BF00024241

Khin, A. M., Amiruddin, M. D., Rafii, M. Y., Abd Samad, M. Y., Ramlee, S. I., Yaakub, Z., & Oladosu, Y. (2021). Character interrelationships and path analysis for yield components in MPOB-Senegal oil palm germplasm. Sains Malaysiana, 50(3), 699–709. https://doi.org/10.17576/jsm-2021-5003-12

Krualee, S., Sdoodee, S., Eksomtramage, T., & Sereeprasert, V. (2013). Correlation and path analysis of palm oil yield components in oil palm (Elaeis guineensis Jacq.). Agriculture and Natural Resources, 47(4), 528–533.

Matana, Y., Miftahorrachman, Nur, M., & Romadhon, M. R. (2020). Stability of fruit and bunch of mapanget tall and Indonesia coconut hybrid with several planting distance using AMMI model and GGE biplot analysis. IOP Conference Series: Earth and Environmental Science, 418(1), 012034. https://doi.org/10.1088/1755-1315/418/1/012034

Mattjik, A. A., & Sumertajaya, I. M. (2013). Perancangan Percobaan dengan Aplikasi SAS dan Minitab. IPB Press.

Mhanhmad, S., Leewanich, P., Punsuvon, V., Chanprame, S., & Srinives, P. (2011). Seasonal effects on bunch components and fatty acid composition in Dura oil palm (Elaeis guineensis). African Journal of Agricultural Research, 6(7), 835–1843. https://doi.org/10.5897/AJAR10.922

Mursyid, H. (2020). Pengelolaan gulma tanaman kelapa sawit (Elaeis guineensis Jacq.) pada kemiringan lahan yang berbeda di perkebunan PTPN III, Kebun Rambutan, Serdang Bedagai, Sumatera Utara [Skripsi]. Institut Pertanian Bogor.

Olivoto, T., & Lúcio, A. D. (2020). metan: An R package for multi‐environment trial analysis. Methods in Ecology and Evolution, 11(6), 783–789. https://doi.org/10.1111/2041-210X.13384

Olivoto, T., Lúcio, A. D. C., da Silva, J. A. G., Marchioro, V. S., de Souza, V. Q., & Jost, E. (2019). Mean performance and stability in multi‐environment trials I: combining features of AMMI and BLUP techniques. Agronomy Journal, 111(6), 2949–2960. https://doi.org/10.2134/agronj2019.03.0220

Pour-Aboughadareh, A., Khalili, M., Poczai, P., & Olivoto, T. (2022). Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs. Plants, 11(3), 414. https://doi.org/10.3390/plants11030414

Purbokurniawan, Purwoko, B. S., Wirnas, D., & Dewi, I. S. (2014). Potensi dan Stabilitas Hasil, serta Adaptabilitas galur-galur padi gogo tipe baru hasil kultur antera. Indonesian Journal of Agronomy, 42(1), 9–16. https://doi.org/https://doi.org/10.24831/jai.v42i1.8142

Rachman, F., Trikoesoemaningtyas, Wirnas, D., & Reflinur. (2022). Estimation of genetic parameters and heterosis through line × tester crosses of national sorghum varieties and local Indonesian cultivars. Biodiversitas Journal of Biological Diversity, 23(3), 1588–1597. https://doi.org/10.13057/biodiv/d230349

Rafii, M. Y., Isa, Z. A., Kushairi, A., Saleh, G. B., & Latif, M. A. (2013). Variation in yield components and vegetative traits in Malaysian oil palm (Elaeis guineensis Jacq.) dura×pisifera hybrids under various planting densities. Industrial Crops and Products, 46, 147–157. https://doi.org/10.1016/j.indcrop.2012.12.054

Rahim, S., Suwarno, W. B., & Aswidinnoor, H. (2023). Genotype by environment interaction of IPB new plant type rice lines in three irrigated lowland locations. AGRIVITA Journal of Agricultural Science, 45(1), 163–172. https://doi.org/10.17503/agrivita.v45i1.3685

Ruswanto, A., Ramelan, A. H., Praseptiangga, D., & Partha, I. B. B. (2020). Palm oil yield potency on different level of ripening and storage time based on fruits percentage and fresh fruit bunches. IOP Conference Series: Earth and Environmental Science, 443(1), 012005. https://doi.org/10.1088/1755-1315/443/1/012005

Sabaghnia, N., Dehghani, H., & Sabaghpour, S. H. (2006). Nonparametric methods for interpreting genotype × environment interaction of lentil genotypes. Crop Science, 46(3), 1100–1106. https://doi.org/10.2135/cropsci2005.06-0122

Sharifi, P., Aminpanah, H., Erfani, R., Mohaddesi, A., & Abbasian, A. (2017). Evaluation of genotype × environment interaction in rice based on AMMI model in Iran. Rice Science, 24(3), 173–180. https://doi.org/10.1016/j.rsci.2017.02.001

Shi, P., Wang, Y., Zhang, D., Htwe, Y. M., & Ihase, L. O. (2019). Analysis on fruit oil content and evaluation on germplasm in oil palm. HortScience, 54(8), 1275–1279. https://doi.org/10.21273/HORTSCI14044-19

Shukla, G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29(2), 237–245. https://doi.org/10.1038/hdy.1972.87

Siregar, H. A., Yenni, Y., Setiowati, R. D., Supena, N., Suprianto, E., & Purba, A. R. (2020). Cameroon virescens oil palm (Elaeis guineensis) from IOPRI’s germplasm. AGRIVITA Journal of Agricultural Science, 42(2), 283–294. https://doi.org/10.17503/agrivita.v0i0.2239

Sitepu, A. F., Yenni, Y., & Sujadi. (2021). Mengenal fenomena feminin pada kelapa sawit (Elaeis guineensis Jacq.). Warta PPKS, 26(3), 154–161.

Sitepu, A. F., Yenni, Y., & Sujadi. (2022). Pemilihan tetua berdasarkan nilai pemuliaan komponen tandan progeni dura x tenera. Jurnal Penelitian Kelapa Sawit, 30(1), 15–26.

Soh, A. C., Mayes, S., Roberts, J., Breure, K., Cochard, B., Nouy, B., Cooper, R. M., de Franqueville, H., Louise, C., & Chin, S. (2017). Objective traits. In A. C. Soh, S. Mayes, & J. Roberts (Eds.), Oil Palm Breeding: Genetics and Genomics (pp. 85–142). CRC Press. https://doi.org/10.1201/9781315119724-5

Soh, A. C., Mayes, S., Roberts, J., Cros, D., & Purba, R. (2017). Breeding plans and selection methods. In A. C. Soh, S. Mayes, & J. Roberts (Eds.), Oil Palm Breeding: Genetics and Genomics (pp. 143–164). CRC Press. https://doi.org/10.1201/9781315119724-6

Susanto, A., Prasetyo, A. E., & Priwiratama, H. (2020). Hubungan kesehatan tanaman terhadap penyerbukan kelapa sawit. Warta PPKS, 25(2), 92–100.

Swaray, S., Amiruddin, M. D., Rafii, M. Y., Jamian, S., Ismail, M. F., Jalloh, M., Eswa, M., Marjuni, M., Akos, I. S., & Yusuff, O. (2021). Oil palm inflorescence sex ratio and fruit set assessment in dura × pisifera biparental progenies on fibric peat soil. Agronomy, 11(7), 1380. https://doi.org/10.3390/agronomy11071380

Swaray, S., Din Amiruddin, M., Rafii, M. Y., Jamian, S., Ismail, M. F., Jalloh, M., Marjuni, M., Mustakim Mohamad, M., & Yusuff, O. (2020). Influence of parental dura and pisifera genetic origins on oil palm fruit set ratio and yield components in their D × P progenies. Agronomy, 10(11), 1793. https://doi.org/10.3390/agronomy10111793

Syuaib, M. F. (2016). Sustainable agriculture in Indonesia: Facts and challenges to keep growing in harmony with environment. AgricEngInt: CIGR Journal, 18(2), 170–184.

Takatsuka, H., & Umeda, M. (2014). Hormonal control of cell division and elongation along differentiation trajectories in roots. Journal of Experimental Botany, 65(10), 2633–2643. https://doi.org/10.1093/jxb/ert485

Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype-environment interactions and yield stability [Disertasi]. Indian Agriculture Research Institute.

Thiyagu, D., Rafii, M. Y., Mahmud, T. M. M., Latif, M. A., Malek, M. A., & Sentoor, G. (2013). Genotype by environment assessment in sweetpotato as leafy vegetable using AMMI model. Pakistan Journal of Botany, 45(3), 843–852.

Ubara, U. E., Agho, C. A., Aye, A. I., Yakubu, M., Eke, C. R., & Asemota, O. (2017). Identification of drought tolerant progenies in oil palm (Elaeis guineensis Jacq.). International Journal of Advanced Research in Biological Sciences (IJARBS), 4(6), 120–127. https://doi.org/10.22192/ijarbs.2017.04.06.018

United States Department of Agriculture. (2023). Oilseeds: World Market and Trade Data. https://apps.fas.usda.gov/psdonline/app/index.html#/app/compositeViz

Usman, M. G., Rafii, M. Y., Martini, M. Y., Oladosu, Y., & Kashiani, P. (2017). Genotypic character relationship and phenotypic path coefficient analysis in chili pepper genotypes grown under tropical condition. Journal of the Science of Food and Agriculture, 97(4), 1164–1171. https://doi.org/10.1002/jsfa.7843

Vaezi, B., Pour-Aboughadareh, A., Mohammadi, R., Mehraban, A., Hossein-Pour, T., Koohkan, E., Ghasemi, S., Moradkhani, H., & Siddique, K. H. M. (2019). Integrating different stability models to investigate genotype × environment interactions and identify stable and high-yielding barley genotypes. Euphytica, 215(4), 63. https://doi.org/10.1007/s10681-019-2386-5

Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer International Publishing. https://doi.org/10.1007/978-3-319-24277-4

Wricke, G. (1962). On a method of understanding the biological diversity in field research. Z. Pflanzenzucht, 47, 92–96.

Yan, W., Nilsen, K. T., & Beattie, A. (2023). Mega‐environment analysis and breeding for specific adaptation. Crop Science, 63(2), 480–494. https://doi.org/10.1002/csc2.20895

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20-05-2026

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The insignificance of genotype-by-environment interaction suggests a stable bunch component traits in oil palm progenies. (2026). Menara Perkebunan, 94(1). https://mp.iribb.org/index.php/mpjurnal/article/view/683

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