scholarly journals A Review on The Physical, Milling Quality and Physicochemical Characteristic of Hipa 6 Jete and Hipa 7

2020 ◽  
Vol 16 (2) ◽  
pp. 25
Author(s):  
Shinta Dewi Ardhiyanti ◽  
Siti Dewi Indrasari
Keyword(s):  
First Generation ◽  
Hybrid Rice ◽  
Amylose Content ◽  
Physicochemical Characteristic ◽  
Physicochemical Characteristics ◽  
Yield Potential ◽  
Physical Quality ◽  
Rice Quality ◽  
Milling Quality ◽  
Head Rice

Up to now the Agriculture Ministry of Republic of Indonesia has released 19 varieties of hybrid rice. Hipa 6 Jete and Hipa 7 varieties are two of them. Hybrid rice is a group of rice plants formed from first generation individuals (F1) derivative of a combination of crossing between certain elders. Hybrid rice superior varieties has a higher yield potential than inbred superior varieties that dominate rice cultivation areas. Rice quality is one of the factors that determine the level of consumer acceptance of a variety. The rice quality is influenced by several factors such as physical quality, cooking quality and taste quality. This paper aims to review the physical quality, milling quality and physical properties of Hipa 6 Jete and Hipa 7. The length of Hipa 6 Jete and Hipa 7 are long and the shape are slender. Based on the head rice and broken rice percentage both Hipa 6 Jete and Hipa 7 are met the medium 2 and 3 quality class (SNI 6128:2015). Based on the physicochemical characteristics both Hipa 6 Jete and Hipa 7 are classified as intermediate amylose content with soft gel consistency and with high intermediate gelatinization temperature. In cooling condition the cooked rice of Hipa 6 Jete and Hipa 7 are soft texture.

Evaluating Techniques for Rice Grain Quality Using near Infrared Transmission Spectroscopy

1998 ◽  
Vol 6 (A) ◽  
pp. A111-A116 ◽  
Author(s):  
Naoto Shimizu ◽  
Jyunji Katsura ◽  
Takashi Yanagisawa ◽  
Bunji Tezuka ◽  
Yasuyuki Maruyama ◽  
...  
Keyword(s):  
Grain Quality ◽  
Near Infrared ◽  
Amylose Content ◽  
Rice Grain ◽  
Whole Grain ◽  
Infrared Transmission ◽  
Reliable Determination ◽  
Rice Quality ◽  
Head Rice ◽  
Apparent Amylose Content

The development of advanced evaluation techniques for rice quality has been a desire of the Japanese rice industry (breeding, distribution and processing). The objective of the present study is to develop novel techniques for evaluating rice grain quality. A reliable determination method for amylose in whole grain rice using near infrared transmission (NIT) is proposed, using Partial Least Squares (PLS) regression analysis. It was suggested from results based on two different validation methods that the PLS models have possibilities for determination of apparent amylose content using NIT spectroscopy. PLS modelling for constituents important in rice quality indicates that reasonably accurate models are attainable for moisture content and protein content in whole grain rice. However our PLS models were not sufficiently accurate for physical rice quality (head rice ratio, apparent density, whiteness) using NIT spectroscopy.

scholarly journals IDENTIFIKASI MUTU FISIK BERAS DENGAN MENGGUNAKAN TEKNOLOGI PENGOLAHAN CITRA DAN JARINGAN SYARAF TIRUAN (Identification of physical quality of rice by using technology image processing and artificial neural network)

2017 ◽  
Vol 10 (2) ◽  
pp. 95 ◽  
Author(s):  
Agus Supriatna Somantri ◽  
Emmy Darmawati ◽  
I Wayan Astika
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Rice Grain ◽  
Physical Quality ◽  
Rice Quality ◽  
Broken Rice ◽  
Head Rice ◽  
Artificial Neural

<p>Proses pemutuan beras sangat penting untuk dilakukan sebelum beras dipasarkan. Sampai saat ini proses pemutuan beras masih dilakukan secara manual (visual) yang dilakukan oleh para ahli yang berpengalaman, namun cara ini memiliki kelemahan : 1) Adanya faktor subjektif dari pengamat (ahli); 2) Kondisi fisik dan psikologis pengamat yang menyebabkan tidak konsistennya hasil pemutuan; dan 3) Waktu yang dibutuhkan untuk proses pemutuan relatif lebih lama. Tujuan penelitian ini adalah mempelajari karakteristik mutu fisik beras berdasarkan analisis pengolahan citra dan jaringan syaraf tiruan. Hasil penelitian menunjukkan bahwa proses pemutuan beras kepala, beras patah, beras menir dan gabah dengan menggunakan pengolahan citra digital dapat diminimalisir penggunaan input parameternya hanya dengan menggunakan indeks B, roundness, luas, panjang dan saturation, sedangkan untuk menduga beras merah, beras kuning/rusak, beras hijau mengapur dan benda asing dapat menggunakan parameter indeks R, indeks G, indeks B, roundness dan luas. Keberagaman nilai akurasi pada training dari masing-masing varietas beras disebabkan oleh perbedaan bentuk, ukuran dan warna dari masing-masing butir beras tersebut, sehingga menyebabkan nilai akurasinya berbeda. Training citra beras kepala, beras patah, beras menir dan gabah dengan 5 parameter input menunjukkan hasil yang baik yaitu 97,14% untuk Inpari 13, 99,6% untuk Inpari 19, 98,37% untuk Cirata, 97,9% untuk Muncul dan 99,6% untuk Way Apo Buru. Sedangkan nilai validasinya adalah 96,74% untuk Inpari 13, 95,35% untuk Inpari 19, 96,73% untuk Cirata, 96,02% untuk Muncul, dan 98,68% untuk Way Apo Buru. Training citra beras merah, beras kuning/rusak, beras hijau mengapur dan benda asing hasilnya adalah 98,55% dan hasil validasinya adalah 90,48%.</p><p>Kata kunci :Pengolahan citra, beras, jaringan syaraf tiruan, mutu fisik</p><p>English Version Abstract</p><p>Quality assessment of rice quality is very important activity before it's marketed. Up to now, the rice quality inspection is done manually (visually) by trained examiners who have expertise and experience, but it has disadvantages such as: (1) the subjectivity factor of the observer, (2) the physical exhaustion of observer causing inconsistent result, and (3) the time required for the observation is relatively much longer. The purpose of this research is to develop an image processing method for identifying physical quality of rice. The result showed that the diversity of accuracy values caused by differences of shape, size and color of each variety of rice. The identification of physical quality of head rice, broken rice, groats and paddy can be determined by using the parameters input of image, i.e. index B, roundness, area, length and saturation. As for the estimation of red rice, yellow rice (damaged), chalky grain and foreign matters can be determined by using parameters such as index R, G, B, roundness and area. The accuracy of training of head rice, broken rice, grain groats and unhulled rice by using 5 parameters showed good results, ie 97.14%, 99.6%, 98.37%, 97.9%, and 99.6%, while their validation are 96.74%, 95.35%, 96.73%, 96.02%, and 98.68% for Inpari 13, Inpari 19, Cirata, Muncul and Way Apo Buru respectively. The accuracy of brown rice, yellow rice, chalky grain and foreign matter recognition was 98.55% for training process and 90.48% for validation.</p><p>Keywords : Image processing, rice, artificial neural network, physical quality</p>

scholarly journals Breeding of High Cooking and Eating Quality in Rice by Marker-Assisted Backcrossing (MABc) Using KASP Markers

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 804
Author(s):  
Me-Sun Kim ◽  
Ju-Young Yang ◽  
Ju-Kyung Yu ◽  
Yi Lee ◽  
Yong-Jin Park ◽  
...  
Keyword(s):  
Genetic Background ◽  
Amylose Content ◽  
Yield Potential ◽  
Eating Quality ◽  
Breeding Cycle ◽  
Recurrent Parent ◽  
Rice Varieties ◽  
Breeding Programs ◽  
Genome Wide ◽  
Cooking And Eating Quality

The primary goals of rice breeding programs are grain quality and yield potential improvement. With the high demand for rice varieties of premium cooking and eating quality, we developed low-amylose content breeding lines crossed with Samgwang and Milkyqueen through the marker-assisted backcross (MABc) breeding program. Trait markers of the SSIIIa gene referring to low-amylose content were identified through an SNP mapping activity, and the markers were applied to select favorable lines for a foreground selection. To rapidly recover the genetic background of Samgwang (recurrent parent genome, RPG), 386 genome-wide markers were used to select BC1F1 and BC2F1 individuals. Seven BC2F1 lines with targeted traits were selected, and the genetic background recovery range varied within 97.4–99.1% of RPG. The amylose content of the selected BC2F2 grains ranged from 12.4–16.8%. We demonstrated the MABc using a trait and genome-wide markers, allowing us to efficiently select lines of a target trait and reduce the breeding cycle effectively. In addition, the BC2F2 lines confirmed by molecular markers in this study can be utilized as parental lines for subsequent breeding programs of high-quality rice for cooking and eating.

scholarly journals Combining ability and heritability of selected rice varieties for grain yield, its components and grain quality characters

Genetika ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 559-570 ◽  
Author(s):  
Mehrzad Allahgholipour ◽  
Ezatollah Farshdfar ◽  
Babak Rabiei
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Grain Quality ◽  
Amylose Content ◽  
Gelatinization Temperature ◽  
Narrow Sense ◽  
Rice Varieties ◽  
Narrow Sense Heritability ◽  
Head Rice ◽  
Additive Gene

This study was conducted to determine the combining ability and heritability of rice grain yield, its components and some grain quality traits such as amylose content (AC), gelatinization temperature (GT), gel consistency (GC) and head rice recovery (HRR). The study was commenced by crossing the selected rice varieties based on a full diallel mating design. The F1 was harvested at the end of the season. In the following season, the crossed, reciprocal and parental lines were planted in randomly complete block design with three replications. Analysis of variance indicated that genotypes were significantly different for all traits. The diallel analysis by Griffing`s method showed highly significant differences for GCA for number of panicles per plant (PN), amylose content, gelatinization temperature and head rice recovery. Highly significant differences were also observed for both SCA and REC for all evaluated characters. The results showed that the grain yield (GY), number of filled grains (FGN), 100-grain weight (HGW) and GC were controlled by non-additive gene action, while the inheritance of PN, AC, GT and HRR were largely controlled by additive gene effects, although non- additive genetic components and reciprocal effect were also involved, which suggest that a selection process could be done in the early generations. The two improved lines (RI18442-1 and RI18430-46) were found to be good general combiners for GY and FGN, while the best combiners for PN was Tarom Mohali and IR50 and for HGW was RI18430-46. The best combinations for GY were RI18430-46 ? IR50, Tarom Mohali ? RI18447-2 and Daylamani ? RI18430-46. The good hybrids were Tarom Mohali ? IR50, Line23 ? RI18447-2 and Line23 ? Backcross line for AC. Narrow sense heritability showed that the GY and GC had the lowest values while the other traits had either moderate or high heritability, which indicates selection in the early generations could be done to fix the favorable genes. In present study, narrow sense heritability was high for AC and moderate for GT, PN and HRR.

scholarly journals Analysis on Spectral Matching of Biochemical Component for Rice

2021 ◽  
Vol 2112 (1) ◽  
pp. 012028
Author(s):  
Tianyu Tang ◽  
Yanlin Tang ◽  
Xiaonan Wei
Keyword(s):  
Crude Protein ◽  
Amylose Content ◽  
Spectral Characteristics ◽  
Blue Shift ◽  
Rice Flour ◽  
Spectral Matching ◽  
Multivariate Statistical ◽  
Rice Quality ◽  
Biochemical Component ◽  
Mixed Samples

Abstract The protein, starch and amylose are three important indexes to characterize rice quality. The starch, crude protein and amylose of rice were extracted by experiments. The hyperspectral reflectance of starch, crude protein and amylose, their mixed samples and rice samples were determined by a ASD FieldSpec Pro FR™ The spectral characteristics of starch, crude protein, amylose and their correlation with component content were analyzed by using spectral matching technique and multivariate statistical method. The results showed that the spectra of three biochemical components were significantly different, and the spectral peaks and valleys of the mixed samples showed “red shift” or “blue shift”. The contents (%) of crude protein, starch and amylose in rice flour were significantly related to the absorption area S between 2020nm and 2235nm on their spectral curve. The results showed that the hyperspectral method could be used to estimate the contents of crude protein, starch and amylose content in rice, and then to detect rice quality.

scholarly journals Kualitas Fisik Beras (Oryza sativa L.) Mutan M4 Hasil Iradiasi Sinar Gamma

2020 ◽  
Vol 4 (1) ◽  
pp. 32-42
Author(s):  
Nanda Funna Ledita ◽  
Efendi Efendi ◽  
Rita Hayati
Keyword(s):  
Oryza Sativa ◽  
Gamma Ray ◽  
Amylose Content ◽  
Oryza Sativa L ◽  
Mutant Line ◽  
Milled Rice ◽  
Physical Quality ◽  
Significant Difference ◽  
Gamma Ray Irradiation

Abstrak.  Beras (Oryza sativa L.) merupakan salah satu tanaman pangan yang berfungsi sebagai tanaman pokok selain gandum dan jagung di Indonesia, dikarenakan mengandung nutrisi yang dibutuhkan tubuh seperti karbohidrat, protein, air  dan lemak. Meningkatnya jumlah penduduk maka permintaan terhadap beras semakin meningkat. Permintaan tersebut sangat ditentukan oleh selera konsumen yang dipengaruhi oleh kualitas beras yaitu mutu fisik (ukuran dan bentuk butiran, rendemen dan pengapuran), mutu tanak (kadar amilosa dan suhu gelatinisasi) dan mutu rasa (tekstur dan aroma). Penelitian ini bertujuan untuk mengetahui kualitas beberapa galur padi mutan M4 hasil iradiasi sinar gamma. Penelitian ini dilaksanakan di Laboratorium Ilmu dan Teknologi Benih, Laboratorium Analisis Pangan dan Hasil Pertanian, Laboratorium Ilmu Nutrisi dan Teknologi Pakan dan Laboratorium Fisiologi Tumbuhan Fakultas Pertanian Universitas Syiah Kuala, serta Laboratorium Departemen Ilmu dan Teknologi Pangan Fakultas Teknologi Pertanian Institut Pertanian Bogor, yang berlangsung pada bulan April hingga Juli 2018. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Lengkap (RAL) pola non faktorial dengan 3 ulangan. Perlakuan penelitian ini berupa galur (G) dengan 5 taraf, yaitu i-Snb (G0) kontrol, O-39e (G1), O-57d (G2), O-57e (G3) dan O-88j (G4). Parameter yang diamati yaitu sifat fisik beras (densitas kamba, derajat sosoh, dimensi beras rendemen beras giling, dan warna). Hasil penelitian menunjukkan bahwa galur  mutan M4 berpengaruh sangat nyata terhadap kualitas sifat fisik rendemen beras giling dan warna nilai L (kecerahan). Rendemen beras giling terbaik galur O-39e (70,33%) dan warna nilai L (kecerahan) galur O-88j (117,90).  Perlakuan terbaik secara kumulatif  untuk sifat fisik beras yaitu pada i-Snb.. Physical Quality of Rice (Oryza sativa L. ) M4  Mutant Results of Gamma Ray IrradiationAbstract. Rice (Oryza sativa L.) is one of main food which the function is to be staple food beside wheat and corn in Indonesia because it contains nutrients such as carbohydrates, protein, water, and fat. Towards the increasing populations, the demand of rice is increasing as well. The demand is largerly depends on the consumer taste affected by the quality of rice which are physical quality (size and grain shape, rendemen, and calcification), cooked quality (amylose content and gelatinization temperature) and flavor quality (texture and smell). The purpose of this research was to investigate the quality of rice from several M4 mutant line resulting from gamma ray irradiation. This research was conducted at the Laboratory of Seed Science and Technology and Laboratory of Food and Agricultural Analysis, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, from the month April to July 2018. The design used in this study was based on a non-factorial completely randomize design with 3 replications and continued with the Least Significant Difference Test (LSD) level of 5% on a significant F test results. The results showed that the M4 mutant line had a very significant effect on the quality of physical properties, the yield of milled rice and the best color L (brightness), namely on the O-88j and O-39e line.

scholarly journals Evaluation of Yield, Reaction to Diseases, and Grain Physical Attributes of Some Introduced Rice Hybrids in Ghana

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Samuel Oppong Abebrese ◽  
Alex Yeboah ◽  
Wilson Dogbe ◽  
Paul Kofi Ayirebi Dartey ◽  
Richard Akromah ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Hybrid Rice ◽  
Block Design ◽  
Leaf Blight ◽  
Rice Production ◽  
Bacterial Leaf Blight ◽  
Yield Potential ◽  
Randomized Complete Block Design ◽  
Physical Attributes

Hybrid rice technology is one of the promising, sustainable, and proven technologies for increasing rice production and productivity with a yield advantage of 15–30% over modern inbred varieties. The potential of hybrid rice has so far not been exploited in Ghana. This study was undertaken to evaluate the yield potential, reaction to diseases, and physical grain attributes of some introduced hybrids. The trials were laid out in a randomized complete block design (RCBD) with three replicates across three locations. Data were taken on grain yield, yield components, reaction to diseases, and grain physical characteristics. Four promising hybrids (SWARNA 2, ARGH 1501, ARGH 1502, and ARGH 1503) with a mean yield advantage of 15–20.8% over the best inbred check “AgraRice” were identified. With few exceptions, the hybrids were broadly adapted and had adequate resistance to blast and bacterial leaf blight. Most of the test hybrids had long slender grains which make them acceptable to the Ghanaian market but lacked aroma.

scholarly journals Seed Germination and Grain Quality of Rice as Affected by False Smut Disease

2019 ◽  
Vol 22 (1) ◽  
pp. 1-7
Author(s):  
B Nessa ◽  
SS Dipti ◽  
MU Salam ◽  
AHMM Haque ◽  
JK Biswas ◽  
...  
Keyword(s):  
Seed Germination ◽  
Grain Quality ◽  
Yield Loss ◽  
Seed Quality ◽  
Rice Yield ◽  
Amylose Content ◽  
Future Research ◽  
Head Rice ◽  
False Smut

Rice false smut (RFSm) is a disease of interest globally and in Bangladesh. Its occurrence and spread have drawn attention since 2010 in the country. While many reports are available on the yield loss from the disease, little is known of its effect on grain quality. Besides, there has been no information on how RFSm affects the seed quality with respect to germination. This study attempted evaluation of seed germination and grain quality of rice as affected by false smut disease. Three years’ study provided strong indication of inferior milling outturn and head rice yield in RFSm contaminated seeds. Results further revealed reduced amylose content and increased protein content in the contaminated seeds. Tendency in reduced seed germination, and less cooking time was observed in RFSm contaminated seeds. Future research is suggested to fully understand those causations. Bangladesh Rice j. 2018, 22(1): 1-7

scholarly journals Identification and Verification of Quantitative Trait Loci Affecting Milling Yield of Rice

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 75 ◽  
Author(s):  
Hui Zhang ◽  
Yu-Jun Zhu ◽  
An-Dong Zhu ◽  
Ye-Yang Fan ◽  
Ting-Xu Huang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Brown Rice ◽  
Yield Traits ◽  
Multiple Traits ◽  
Milled Rice ◽  
Milling Quality ◽  
Head Rice ◽  
Trait Loci ◽  
Milling Yield

Rice is generally consumed in the form of milled rice. The yield of total milled rice and head mill rice is affected by both the paddy rice yield and milling efficiency. In this study, three recombinant inbred line (RIL) populations and one F4:5 population derived from a residual heterozygous (RH) plant were used to determine quantitative trait loci (QTLs) affecting milling yield of rice. Seven traits were analyzed, including recovery of brown rice (BR), milled rice (MR) and head rice (HR); grain yield (GY); and the yield of brown rice (BRY), milled rice (MRY) and head rice (HRY). A total of 77 QTLs distributed on 35 regions was detected in the three RIL populations. Four regions, where qBR5, qBR7, qBR10, and qBR12 were located, were validated in the RH-derived F4:5 population. In the three RIL populations, all the 11 QTLs for GY detected were accompanied with QTLs for two or all the three milling yield traits. Not only the allele direction for milling yield traits was unchanged, but also the effects were consistent with GY. In the RH-derived F4:5 population, regions controlling GY also affected all three milling yield traits. Results indicated that variations of BRY and MRY were mainly ascribed to GY, but HRY was determined by both GY and HR. Results also showed that the regions covering GW5–Chalk5 and Wx loci had major effects on milling quality and milling yield of rice. These two regions, which have been known to affect multiple traits determining grain quality and yield of rice, provide good candidates for milled yield improvement.

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