Observation Size of Seed, Endosperm, and Embryo of Tropical Rice (Oryza sativa L.) with Image Analysis Approach

Observasi Keragaan Ukuran Benih, Endosperma, dan Embrio Genotipe Padi Tropis (Oryza sativa L.) dengan Image Analysis

Authors

DOI:

https://doi.org/10.33019/agrosainstek.v8i2.442

Keywords:

Embryo size, Endosperm, Image analysis, Rice, Seed size

Abstract

Rice is important staple food in the world. One important input in rice production is seed vigor, is determined by seed characteristics such as seed size and shape. The Digital image processing could facilitate observations of seed size faster, large samples, produce accurate, and robust data. However, this study was designed to investigate size of seed, endosperm and embryo of 55 tropical rice genotypes using image analysis and correlation anlysis between characters. A total of 400 seeds, 40 endosperms, and 8 embryos containing each genotype were investigated for their size characteristics. The results of the investigation showed that genotype differences had a significant effect on size of seed, endosperm and embryo. The length of tropical rice seeds is included in the medium-very long seeds and has a significant positive correlation (α <0.01) with the weight of 1000 grain grains, seed area, shape of the seed (length-to-width ratio), and endosperm length. Embryo size characters (length, width, area, and circumference) have a significant positive correlation (α <0.05) with seed area. The results can be considered in the crop improvement of tropical rice plants in the future.

Downloads

Download data is not yet available.

Author Biographies

  • Ahmad Rifqi Fauzi, Trilogi University

    Department of Agroecotechnology, Faculty of Bioindustry

  • Ahmad Junaedi, IPB University

    Department of Agronomy and Horticulture, Faculty of Agriculture

  • Iskandar Lubis, IPB University

    Department of Agronomy and Horticulture, Faculty of Agriculture

  • Munif Ghulamahdi, IPB University

    Department of Agronomy and Horticulture, Faculty of Agriculture

  • Hajrial Aswidinnoor, IPB University

    Department of Agronomy and Horticulture, Faculty of Agriculture

References

Alexandratos N, Bruinsma J. 2012. World agriculture towards 2030/2050: the 2012 revision. ESA Working Papers 12-03.

Ambika S, Manonmani V, Somasundar G. 2014. Review on Effect of Seed Size on Seedling Vigour and Seed Yield. Res J Seed Sci. 7(2):31–38. doi:10.3923/rjss.2014.31.38.

An L, Tao Y, Chen H, He M, Xiao F, Li G, Ding Y, Liu Z. 2020. Embryo-Endosperm Interaction and Its Agronomic Relevance to Rice Quality. Front Plant Sci. 11 November. doi:10.3389/fpls.2020.587641.

Baek J, Lee E, Kim N, Kim SL, Choi I, Ji H, Chung YS, Choi MS, Moon JK, Kim KH. 2020. High throughput phenotyping for various traits on soybean seeds using image analysis. Sensors (Switzerland). 20(1):1–9. doi:10.3390/s20010248.

Cervantes E, Martín JJ, Saadaoui E. 2016. Updated Methods for Seed Shape Analysis. Scientifica (Cairo). 2016. doi:10.1155/2016/5691825.

[FAO] Food Agriculture Organization. 2018. Rice Market Monitor. Food Agric Organ United States. 21(1):1–38.

Firatligil-Durmuş E, Šárka E, Bubník Z, Schejbal M, Kadlec P. 2010. Size properties of legume seeds of different varieties using image analysis. J Food Eng. 99(4):445–451. doi:10.1016/j.jfoodeng.2009.08.005.

Golpour I, ParianJA, Chayjan RA. 2014. Identification and classification of bulk paddy, brown, and white rice cultivars with colour features extraction using image analysis and neural network&nbsp; Czech J Food Sci. 32 No. 3:280–287. doi:10.17221/238/2013-CJFS.

Han C, He D, Li M, Yang P. 2014. In-depth proteomic analysis of rice embryo reveals its important roles in seed germination. Plant Cell Physiol. 55(10):1826–1847. doi:10.1093/pcp/pcu114.

Herridge RP, Day RC, Baldwin S, Macknight RC. 2011. Rapid analysis of seed size in Arabidopsis for mutant and QTL discovery. Plant Methods. 7(1):1–11. doi:10.1186/1746-4811-7-3.

Huang R, Jiang L, Zheng J, Wang T, Wang H, Huang Y, Hong Z. 2013. Genetic bases of rice grain shape: So many genes, so little known. Trends Plant Sci. 18(4):218–226. doi:10.1016/j.tplants.2012.11.001.

[IRRI] International Rice Research Institute. 2002. Standard Evaluation System for Rice (SES).

Jamil M, Ali A, Ghafoor A, Akbar KF, Napar AA, Naveed NH, Yasin NA, Gul A, Mujeeb-Kazi A. 2017. Digital image analysis of seed shape influenced by heat stress in diverse bread wheat germplasm. Pakistan J Bot. 49(4):1279–1284.

Kesavan M, Song JT, Seo HS. 2013. Seed size: A priority trait in cereal crops. Physiol Plant. 147(2):113–120. doi:10.1111/j.1399-3054.2012.01664.x.

Lurstwut B, Pornpanomchai C. 2017. Image analysis based on color, shape and texture for rice seed ( Oryza sativa L. ) germination evaluation. Agric Nat Resour. 51(5):383–389. doi:10.1016/j.anres.2017.12.002.

Morita S, Yonemaru JI, Takanashi JI. 2005. Grain growth and endosperm cell size under high night temperatures in rice (Oryza sativa L.). Ann Bot. 95(4):695–701. doi:10.1093/aob/mci071.

Nagasawa N, Hibara KI, Heppard EP, Vander Velden KA, Luck S, Beatty M, Nagato Y, Sakai H. 2013. GIANT EMBRYO encodes CYP78A13, required for proper size balance between embryo and endosperm in rice. Plant J. 75(4):592–605. doi:10.1111/tpj.12223.

Pandey MP, Seshu DV, Akbar M. 1994. Genetics of embryo size and its relationship with seed and seedling vigour in rice (Oryza sativa L.). Indian J Genet Plant Breed. 54(3):258–268.

Sitaresmi T, Wening RH, Rakhmi AT, Yunani N, Susanto U. 2013. Pemanfaatan Plasma Nutfah Padi Varietas Lokal dalam Perakitan Varietas Unggul. Iptek Tan Pangan. 8(1):22–30.

Tanabata T, Shibaya T, Hori K, Ebana K, Yano M. 2012. SmartGrain: High-throughput phenotyping software for measuring seed shape through image analysis. Plant Physiol. 160(4):1871–1880. doi:10.1104/pp.112.205120.

Umesh MR, Angadi S, Gowda P, Ghimire R, Begna S. 2019. Climate-resilient minor crops for food security. Di dalam: Agronomic Crops: Volume 1: Production Technologies. Volume ke-1. hlm 19–32.

Xu Q, Chen W, Xu Z. 2015. Relationship between grain yield and quality in rice germplasms grown across different growing areas. Breed Sci. 65(3):226–232. doi:10.1270/jsbbs.65.226.

Yang W, Gao M, Yin X, Liu J, Xu Y, Zeng L, Li Q, Zhang S, Wang J, Zhang X, et al. 2013. Control of rice embryo development, shoot apical meristem maintenance, and grain yield by a novel cytochrome P450. Mol Plant. 6(6):1945–1960. doi:10.1093/mp/sst107.

Yin C, Li H, Li S, Xu L, Zhao Z, Wang J. 2015. Genetic dissection on rice grain shape by the two-dimensional image analysis in one japonica × indica population consisting of recombinant inbred lines. Theor Appl Genet. 128(10):1969–1986. doi:10.1007/s00122-015-2560-7.

Downloads

Published

31-12-2024

How to Cite

Fauzi, A.R. (2024) “Observation Size of Seed, Endosperm, and Embryo of Tropical Rice (Oryza sativa L.) with Image Analysis Approach: Observasi Keragaan Ukuran Benih, Endosperma, dan Embrio Genotipe Padi Tropis (Oryza sativa L.) dengan Image Analysis”, AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian, 8(2), pp. 40–49. doi:10.33019/agrosainstek.v8i2.442.