WILLY BAYUARDI SUWARNO
Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Meranti, Kampus IPB Dramaga, Bogor 16680, West Java, Indonesia

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Male-sterile induction method in foxtail millet (Setaria italica) Rizki Bagus Nugroho; WILLY BAYUARDI SUWARNO; NURUL KHUMAIDA; SINTHO WAHYUNING ARDIE
Biodiversitas Journal of Biological Diversity Vol. 21 No. 9 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210951

Abstract

Abstract. Nugroho RB, Suwarno WB, Khumaida N, Ardie SW. 2020. Male-sterile induction method in foxtail millet (Setaria italica). Biodiversitas 21: 4325-4330. Male-sterile induction is one technique that can be used to prevent selfing in self-pollination plants, especially for plants with small floret. This study aimed to identify an effective male-sterile induction method that can kill pollen while keeping the stigma receptive in foxtail millet (Setaria italica L. Beauv). The experiment was conducted in a greenhouse at the Cikabayan Experimental Station and the Biology and Biophysics Seed laboratory, Dept. of Agronomy and Horticulture, IPB University, Indonesia from October 2018 to February 2019. The experiment consisted of two sub-experiments that were carried out with a split-plot design with four replications. The male-sterile induction method was the main plot, and the genotype was the subplot. The results from the first experiment showed that alcohol, warm water, and maleic hydrazide treatments were effective for killing pollen in the upper panicle and pollination zones. These treatments were also effective in developing unproductive rachis with different effect patterns on panicles. The results from the second experiment showed that warm water treatment and maleic hydrazide could keep the stigma receptive. From both experiments, warm water treatment was recommended for male-sterile induction in foxtail millet because it was effective in killing pollen, inflicting unproductive rachis in the upper panicle and pollination zones, and kept the stigma receptive.
Variability of kernel morphological and flour physicochemical properties in tropical dent corn hybrids BARIZA KHOIRUL HUMAM; WILLY BAYUARDI SUWARNO; MUHAMMAD AZRAI; ANDI TAKDIR MAKKULAWU; ROY EFENDI
Biodiversitas Journal of Biological Diversity Vol. 24 No. 3 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240332

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Abstract. Humam BK, Suwarno WB, Azrai M, Makkulawu AT, Efendi R. 2023. Variability of kernel morphological and flour physicochemical properties in tropical dent corn hybrids. Biodiversitas 24: 1600-1609. Corn is an important crop worldwide for food, feed, and industry. The aims of this study were to study kernel morphological and corn flour physicochemical properties and hybrids selection according to nutritional values for food industries. Plant materials were 15 test hybrids and four check varieties, namely RK457, RK57, BISI18, and NASA29. Kernel morphological and corn flour physicochemical variations are influenced by kernel type. All dent hybrids had 40/0 mesh corn flour yielded significantly higher compared to NASA29. °Dent scores were negatively correlated to 40/0 mesh corn flour yields. The total and soluble carbohydrates of dent corn flour hybrids are significantly higher compared to semi-dent and semi-flint corn flour hybrids. According to corn flour nutritional values in polygon GT biplot analysis, dent hybrids had relatively high starch, total carbohydrate, and soluble carbohydrate contents. Semi-dent hybrids had relatively high moisture, crude protein, and total ash contents. Semi-flint hybrid had relatively high crude fat and crude fiber contents. Cluster-2 was dominated by dent hybrids according to the fuzzy clustering method and selected as potential hybrids. MSM53 was the female parent of dent hybrids in cluster-2. Potential hybrids could be evaluated further by corn flour functional properties analysis.