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All Journal Informatika Pertanian Jurnal Penelitian Pertanian Tanaman Pangan
Aqil, Muhammad
Indonesian Cereals Research Institute
Agriculture, Biological Sciences & Forestry Computer Science & IT

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Evaluation of Genetic Diversity of QPM, Provit-A, and Elite Maize Inbreds Resistant to Downy Mildew Disease Using Simple Sequence Repeats andayani, nining nurini; Isnaini, Muzdalifah; Aqil, Muhammad; Muis, Amran; Pabendon, Marcia Bunga; Azrai, Muhammad
Jurnal Penelitian Pertanian Tanaman Pangan Vol 4, No 3 (2020): Desember 2020
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jpptp.v4n3.2020.p161-170

Abstract

Functional maize tends to be more susceptible to major maize diseases, particularly Downy mildew. Among the functional maize are Quality Protein Maize (QPM) and Provit A maize. The presence of higher amino acid and beta carotene in functional maize might have caused these types of maize more susceptible to Downy mildew disease. The objective of the research was to identify the heterotic pairs among maize inbreds i.e. QPM, Provit A, and local maize varieties resistant to Downy mildew disease using Simple Sequence Repeats (SSR) marker. The research was conducted from April to July 2017 at the Molecular Biology Laboratory of Indonesian Cereals Research Institute. A total of five QPM inbreds, 15 Provit A inbreds, and 11 Downy mildew resistant local varieties of maize were used in the experiment using 34 SSR markers. Results indicated that among 34 SSR locus analysed, variation of allele lengths ranged from 74 bp to 500 bp. A total of 125 alleles ranging from two to nine alleles per locus with an average of 3.68 alleles were generated. The data indicated wide genetic variations among characters. DNA band profile showed that nc130 marker produced the highest PIC (over 0.83) and allele value (8.00). Genetic distance analysis found a total of 21 heterotic genotypes with genetic distance exceeds 0.65. 
APLIKASI MODEL REGRESI STEP WISE DALAM PENENTUAN HASIL JAGUNG PUTIH Andayani, Nining Nurini; Aqil, Muhammad; Syuryawati, nFN
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.497 KB) | DOI: 10.21082/ip.v25n1.2016.p21-28

Abstract

White corn is a source of functional food, particularly in dry land and dry climate environments. Indonesian Agency for Agricultural Research and Development (IAARD) has released six white corn varieties with various characteristics with wide adaptation area. Breeding programs for developing high yielding white maize varieties is conducted by a series of steps including evaluation of agronomic characteristics of lines/varieties. The objective of the research was to test the applicability of step wise regression model to determine/select agronomic variables that significantly contributed to the yield of white corn. Research was conducted in rainy season 2012 at Muneng experimental station, East Java Province. Maize parental plants used were the result of crossing CML140 x CML264Q lines namely Bima Putih. A total of 14 variables were tested for their significances to maize yield. SPSS and Microstat software were used to calculate the best variables that contributed to the yield significantly. The results showed that among 14 variables involved in the calculation, there were five variables that contributed to the yield, namely: weight of cob at harvest (x5), ratio of the weight of dry grain to the total cob weight (x9), the seed moisture content (x6), and number of ears (x4). Regression models generated from step wise screening was y=-4,33+0,763x5+0,1009x11+0,104x9-1,22x6+0,016x4. The coefficient of determination (R2 ) of the model was 0.99, indicating the ability of the regression model to fit the data. This showed that the five independent variables included in the model were the main variables in determining the outcome of hybrid seed Bima Putih-1. This result could be further used as reference to conduct parameter screening to produce high yielding white maize
Co-Authors andayani, nining nurini Azrai, Muhammad Isnaini, Muzdalifah Muis, Amran Pabendon, Marcia Bunga Syuryawati, nFN