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"Genetic parameters"

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"Genetic parameters"

Research Articles
Genetic Parameters and Multivariate Analysis to Determine Secondary Traits in Selecting Wheat Mutant Adaptive on Tropical Lowlands
Muh Farid, Nasaruddin Nasaruddin, Yunus Musa, Muhammad Fuad Anshori, Ifayanti Ridwan, Jekvy Hendra, Gatot Subroto
Plant Breed. Biotech. 2020;8(4):368-377.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.368

One of approaches to maintain the yield stability of the lowland tropical wheat is the use of secondary traits in the selection process. The identification of these characters requires a statistical approach in the form of genetic parameter analysis and multivariate analysis. The
objective
of this study was to determine the secondary traits of adaptive wheat mutants in the lowlands through the use of genetic parameters and multivariate analysis on the parameters. The study consisted of three field trials conducted in three different regencies, namely Jeneponto (135 m above sea level (asl)), Maros (100 m asl) and Bantaeng (125 m asl). The study used a nested design, where replications were nested in the environments. The genotype factors consisted of 20 genotypes repeated three times. 11 characters were observed including vegetative and reproductive characters. The analysis used consisted of repeatability, correlation, cluster analysis, principal component analysis, factor analysis, and cross print analysis. The overall results of the analysis indicate that the number of productive tillers is the main secondary trait for the selection of adaptive wheat in the lowlands. The character can be recommended for selection criteria in testing wheat lines in the lowlands to make an effective selection.

Citations

Citations to this article as recorded by  
  • Stability and adaptability analyses to identify suitable high-yielding maize hybrids using PBSTAT-GE
    Muhammad Azrai, Muh. Farid, Amin Nur, Roy Efendi, Salengke Salengke, Yunus Musa, Baharuddin Patandjengi, Tutik Kuswinanti, Sulaeha Thamrin, Willy Bayuardi Suwarno, Nining Nurini Andayani, Bunyamin Zainuddin, Hishar Mirsam, Slamet Bambang Priyanto, Suriani
    Open Agriculture.2025;[Epub]     CrossRef
  • Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices
    Yunus Musa, Rusnadi Padjung, Nasaruddin Nasaruddin, Muh Farid, Andang Suryana Soma, Achmad Kautsar Baharuddin, Muh. Fikri Al Qautzar, Resky Maulidina Fakhri, Madonna Casimero, Amin Nur, Mahmoud F. Seleiman, Majed Alotaibi, Nawab Ali, Muhammad Fuad Anshori
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Multivariate analysis and image-based phenotyping of cayenne fruit traits in selection and diversity mapping of multiple F1 cross lines
    Muhammad Fuad Anshori, Yunus Musa, Novaty Eny Dungga, Nuniek Widiayani, Arfina Sukmawati Arifin, A. Masniawati, Firmansyah, Muh Farid, Andi Dirpan, Andi Isti Sakinah, Nirwansyah Amier
    Reproduction and Breeding.2024; 4(4): 194.     CrossRef
  • A new concept in assessing adaptability index for superior potential cropping intensity in early-maturing rice
    Muhammad Fuad Anshori, Yunus Musa, Muh Farid, Muh Jayadi, Abd Haris Bahrun, Amir Yassi, Andi Amran Sulaiman, Yi Cheng Huang, Madonna Casimero, Lizzida Llorca, Willy Bayuardi Suwarno, Muh Mukhtadir Putra, Hasil Sembiring, Bambang Sapta Purwoko, Daniel O. W
    Frontiers in Sustainable Food Systems.2024;[Epub]     CrossRef
  • Selection of M5 mutant lines of wheat (Triticum aestivum L.) for agronomic traits and biomass allocation under drought stress and non-stressed conditions
    Athenkosi Makebe, Hussein Shimelis, Jacob Mashilo
    Frontiers in Plant Science.2024;[Epub]     CrossRef
  • Combining Image-Based Phenotyping and Multivariate Analysis to Estimate Fruit Fresh Weight in Segregation Lines of Lowland Tomatoes
    Muh Farid, Muhammad Fuad Anshori, Riccardo Rossi, Feranita Haring, Katriani Mantja, Andi Dirpan, Siti Halimah Larekeng, Marlina Mustafa, Adnan Adnan, Siti Antara Maedhani Tahara, Nirwansyah Amier, M. Alfan Ikhlasul Amal, Andi Isti Sakinah
    Agronomy.2024; 14(2): 338.     CrossRef
  • Interaction of Principal Component Analysis and Normalized Difference Vegetation Index (NDVI) Using Drone in Evaluation of the Vegetative Phase of Rice
    Andi Isti Sakinah, Muh Farid, Yunus Musa, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Hari Iswoyo
    Asian Journal of Plant Sciences.2024; 23(1): 88.     CrossRef
  • Multivariate and Association Analyses of Quantitative Attributes Reveal Drought Tolerance Potential of Wheat (Triticum aestivum L.) Genotypes
    Mueen Alam Khan, Muhammad Waseem Akram, Muhammad Iqbal, Hafiz Ghulam Muhu-Din Ahmed, Abdul Rehman, Hafiz Syed M. Arslan Iqbal, Beena Alam
    Communications in Soil Science and Plant Analysis.2023; 54(2): 178.     CrossRef
  • Sustainability approach in cropping intensity (CI) 400 through optimizing the dosage of compost and chemical fertilizers to early-maturing rice varieties based on multivariate analysis
    Yunus Musa, Muh Farid, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Ahmad Fauzan Adzima, Muhammad Farid Maricar, Amran Sulaiman, Yi Cheng Huang, Hari Iswoyo, Abd Haris Bahrun, Adnan Adnan
    Journal of Agriculture and Food Research.2023; 14: 100907.     CrossRef
  • Effect of salinity on seed germination and seedling growth of bullet cultivar of chilli (Capsicum annuum L.)
    Anup Kumar Sarkar, Satyajit Oraon, Subrata Mondal, Sanjoy Sadhukhan
    Brazilian Journal of Botany.2023; 46(3): 513.     CrossRef
  • Salinity tolerance selection of doubled-haploid rice lines based on selection index and factor analysis
    Muhammad Fuad Anshori, Bambang Sapta Purwoko, Iswari Saraswati Dewi, Willy Bayuardi Suwarno, Sintho Wahyuning Ardie
    AIMS Agriculture and Food.2022; 7(3): 520.     CrossRef
  • Cluster heatmap for screening the drought tolerant rice through hydroponic culture
    A I Sakinah, Y Musa, M Farid, M F Anshori, M Arifuddin, A A Laraswati
    IOP Conference Series: Earth and Environmental Science.2021; 807(4): 042045.     CrossRef
  • Interactions of Growth Environmental and Application of GA3 Concentration On Shallot Productivity
    A R Handayani, E Syam’un, F Ulfa
    IOP Conference Series: Earth and Environmental Science.2021; 921(1): 012051.     CrossRef
  • Interaction of Genetic and Cultivation Technology in Maize Prolific and Productivity Increase
    A. Dwie Mochammad , Rusnadi Padjung, Muh Farid, Abd Haris Bahrun, Muhammad Fuad Ansho, Nasaruddin ., Ifayanti Ridwan, Amin Nur, Muh Taufik
    Pakistan Journal of Biological Sciences.2021; 24(6): 716.     CrossRef
  • Image Based-Phenotyping and Selection Index Based on Multivariate Analysis for Rice Hydroponic Screening under Drought Stress
    Adinda Asri Laraswati, Rusnadi Padjung, Muh Farid, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Amin Nur, Andi Isti Sakinah
    Plant Breeding and Biotechnology.2021; 9(4): 272.     CrossRef
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Estimation of Genetic Parameters for Growth Performance and Survival Rate in a Clonal Test of Peronema canescens
Kyu-Suk Kang, Mu-Seok Han, In-Sik Kim, Song-Hee Nam
Plant Breed. Biotech. 2013;1(3):245-252.   Published online September 30, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.3.245

Quantitative genetic parameters were estimated for three characters that are important to timber production and survival of Peronema canescens planted in West Java and Central Kalimantan, Indonesia. Significant clonal variation was detected for tree height, diameter at breast height (DBH) and survival rate among 150 clones of P. canescens by age of four years. Clonal survival rates were, on average, 47.8 % in West Java and 29.2 % in Central Kalimantan. The averages of tree height and DBH in Central Kalimantan were higher than those in West Java (4.71 m vs. 1.30 m in height and 8.73 cm vs. 1.72 cm in DBH). Tree height growth was significantly correlated with DBH growth whereas rank correlation of growth trait between sites was weak and non-significant. Highly significant differences in height, DBH growth and survival were observed among sites and between clones. The broad sense heritability was estimated separately in each site which was shown to be under moderate genetic control. Expected genetic response was estimated as a percentage of test mean in tree height and DBH growth after one generation of selection. The genetic response for tree height was expected to be 11.5 % in Java and 12.8 % in Kalimantan when the best 50% of superior clones were selected and used in a planting program. This result suggests that genetic improvement of growth traits through clone selection in P. canescens would be possible. The genetic gain could result in substantial returns if a large planting program would be developed.

Citations

Citations to this article as recorded by  
  • Delineation of Seed Transfer Zone for Pinus densiflora Using Provenance Tests and Climate Variables
    Yeong-Kon Woo, Kyungmi Lee, Kyu-Suk Kang
    Korean Journal of Breeding Science.2023; 55(3): 187.     CrossRef
  • Superior Clone Selection in a Eucalyptus Trial Using Forest Phenotyping Technology via UAV-Based DAP Point Clouds and Multispectral Images
    Shiyue Tao, Yaojian Xie, Jianzhong Luo, Jianzhong Wang, Lei Zhang, Guibin Wang, Lin Cao
    Remote Sensing.2023; 15(4): 899.     CrossRef
  • A REVIEW OF SUNGKAI (PERONEMA CANESCENS): TRADITIONAL USAGE, PHYTOCONSTITUENT, AND PHARMACOLOGICAL ACTIVITIES
    MUHAMMAD RYAN RADIX RAHARDHIAN, YASMIWAR SUSILAWATI, ADI SUMIWI, MOELYONO MUKTIWARDOYO, MUCHTARIDI
    International Journal of Applied Pharmaceutics.2022; : 15.     CrossRef
  • Tensile shear strength of natural wood decorative plywood from lesser known Sungkai (Peronema canescens) tree
    N A Farizan, B Catherine, M Hamami Sahri
    IOP Conference Series: Materials Science and Engineering.2018; 368: 012045.     CrossRef
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  • 4 Crossref