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andayani, nining nurini

Indonesian Cereals Research Institute

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Agriculture, Biological Sciences & Forestry Computer Science & IT

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RESPON GENOTIPE JAGUNG HIBRIDA SILANG TIGA JALUR TERHADAP CEKAMAN INTENSITAS CAHAYA RENDAH andayani, nining nurini
Informatika Pertanian Vol 28, No 1 (2019): Juni 2019
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Pengembangan jagung sebagai tanaman sela dibawah tanaman tegakan merupakan salah satu alternative untuk mengatasi berkurangnya lahan jagung. Maslah yang dihadapi jagung sebagai tanaman sela adalah berkurangnya intensitas cahaya akibat naungan, sehingga perlu untuk merakita jagung toleran naungan. Perhitungan kriteria toleran sangat berguna untuk menyeleksi suatu genotipe yang toleran pada kondisi cekaman naungan. Tujuan dari penelitian ini adalah mengetahui respon genotipe jagung terhadap naungan berdasarkan tujuh indikator cekaman yaitu produktivitas rata-rata (MP), produktivitas rata-rata geometrik (GMP), toleransi (Tol), indeks kepekaan cekaman (SSI), indeks toleransi cekaman (STI), indeks stabilitas hasil (ISH) dan indeks harmonik (IH). Percobaan dilakukan dengan menggunakan rancangan acak kelompok dua lingkungan dengan tiga ulangan. Lingkungan pertama sebagai kontrol yaitu tanpa ada perlakuan naungan (N0), sedangkan lingkungan kedua diberi perlakuan naungan menggunakan paranet 35% (N1). Hasil penelitian menunjukkan adanya dua genotipe jagung hibrida silang tiga jalur yang toleran naungan 35% dan produksi tinggi yaitu STJ02 dan STJ07. Karakter Yo dan Ys berkorelasi positif dan signifikan dengan MP, GMP dan STI, sehingga ketiga indeks ini dijadikan sebagai indeks toleransi terbaik untuk mengukur tingkat toleransi genotip jagung terhadap cekaman naungan paranet 35%. Analisis komponen utaman mengklasifikasikan genotip menjadi dua komponen utama, dengan eigen value >1 dan berkontribusi terhadap variabilitas antar genotip sebesar 99.77%. PC1 berkontribusi sebesar 61.73% dari karakter indeks TOL, SSI dan KH. Analisis klaster berdasarkan indeks toleransi membagi genotipe menjadi dua kelompok, menunjukkan variabilitas genetik yang cukup stabil sehingga bisa dijadikan dasar untuk memilih dan mengembangkan genotip jagung silang tiga jalur toleran cekaman naungan.

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

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

APLIKASI BIOINFORMATIKA PADA STUDI GENETIK JAGUNG PROVITAMIN A Andayani, Nining Nurini; Aqil, Muhammad; Pabendon, M. B.
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

One type of functional maize that is currently studied and developed at Indonesian Cereals Research Institute is rich beta carotene maize (Pro vitamin A maize). This study aims to study the bioinformatics aspect of beta carotene maize as a basis in the determination of appropriate crossing combinations in generating pro vitamin A maize. Genetic studies used 15 high vitamin A maize inbreeds originating from within and outside the country (Cimmyt Mexico introduction). The study was conducted from April to July 2015 at the Molecular Biology Laboratory of Indonesian Cereals Research Institute. Preparation and DNA scoring were performed by using NTSYS-pc 2.1 version for generating dendogram/ data clustering. The results showed that the genetic diversity analysis based on UPGMA against genetic similarity matrix in the form of a dendogram of genetic similarity coefficient values obtained ranged from 0.36 to 0.91. The result of genetic diversity clustering of 15 inbreeds of Pro vitamin A maize in genetic similarity of 0.44 is divided into four groups: groups I, II, III and IV. Dendrogram shows groups I and II at the GD level of 0.44. Group III is at the level of GD 0.45 and divided into two sub groups namely A1 and A2. Group IV is at GD 0.503 level divided into four sub groups namely B1, B2, B3 and B4. The genetic clustering of inbreds tested indicated that the variability of the material characterized was relatively high and enables inbreds recombination in developing new varieties.

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