scholarly journals Variability of grain and milled rice quality traits of long-grain rice variety

2021 ◽  
Vol 285 ◽  
pp. 02035
Author(s):  
Ruslan Dzhamirze ◽  
Nadezhda Ostapenko ◽  
Natalia Chinchenko

The article presents results of studying 14 families of longgrain rice variety Sharm, divided into two groups. A detailed assessment of technological indicators of grain and milled rice quality in primary seed production nurseries (P-1 and P-2) is given. Variability and correlation of traits is calculated. The experiment was carried out in the period 2016-2018 under the conditions of a field experiment as a control nursery, on the rice irrigation system of FSBSI “FSC of Rice” (Federal State Budgetary Scientific Institution “Federal Scientific Rice Centre”), Krasnodar. In a group of families with typical plants, significant excess of some technological indicators of grain and milled rice quality was revealed in comparison with the original variety Sharm, entered in the state register in 2013: for example, the weight of 1000 grains of the combined families after rejection was 27.6 g; fracturing is significantly lower - 10.2%; also, in terms of the total milling yield, head rice content, significant excess of the combined families was noted - 67; 92.1 and 59.6%. The variability of the considered technological traits is weak and varies within the range of up to 10%, with the exception of fracturing (CV up to 93%), since it is highly susceptible to weather fluctuations. In both groups of families, a close positive correlation was found between the head rice content in the milled rice and its content in the grain (r = 0.981 and 0.989) and a negative average relationship between fracturing and the total milling yield (r = -0.568 and -0.646, respectively). When rejecting families of the variety Sharm in P-1 and P-2, it is recommended to use, in addition to morphological characteristics, the indicator of the mass of 1000 grains and the grain index (l / b).

2021 ◽  
Vol 285 ◽  
pp. 02049
Author(s):  
Sergey Garkusha ◽  
Susanna Tesheva ◽  
Dmitry Pischenko

In modern economic conditions, commodity producers need rice varieties that meet specific production requirements. The highest yields are provided by rice varieties that are most fully adapted to cultivation conditions, primarily to soil and climatic conditions, as well as to the material and technical level of production, the state of the rice irrigation system, and the requirements for environmental protection. The article presents the results of an industrial assessment in the transitional delta agrolandscape area of the rice cultivation zone of Krasnodar region. Analysis of the yield and technological indicators of the rice grain quality made it possible to identify varieties adapted to the conditions of “Kubris” LLC, Krasnoarmeyskiy district: Alliance, Veles, Favorit, Yubileiny 85. The average yield for three years was 84.1 c/ha, 82.7 c / ha, 73.6 c/ a, 85.9 c/ha, respectively. Compliance with the technology of growing, harvesting and post-harvest processing on the farm allows ensuring a high milling yield within the range of 65-69 % with a head rice content of 48-59 %. Growing these rice varieties on the farm will effectively develop production by realizing the potential of the variety and obtain high-quality rice grits.


Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 75 ◽  
Author(s):  
Hui Zhang ◽  
Yu-Jun Zhu ◽  
An-Dong Zhu ◽  
Ye-Yang Fan ◽  
Ting-Xu Huang ◽  
...  

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.


2019 ◽  
Vol 62 (5) ◽  
pp. 1259-1268
Author(s):  
Soraya Shafiekhani ◽  
Jung Ae Lee ◽  
Griffiths G. Atungulu

Abstract. Regression analyses were performed to determine the storage conditions that exhibited the best outcomes for long-grain, hybrid milled rice yield and quality. This study evaluated mold population on rough rice, milled rice discoloration, and head rice yield (HRY) after storage of rough rice in airtight conditions at moisture contents (MCs) of 12.5%, 16%, 19%, and 21% wet basis and temperatures of 10°C, 15°C, 20°C, 27°C, and 40°C at two-week intervals for 12 weeks. The experiment used a popular long-grain hybrid rice cultivar (XL745). Rice lots were procured from fields with and without conventional treatment of the field with fungicide for plant disease management. Field treatment and no field treatment were considered as a block, and a Mann-Whitney test was conducted to determine effect. The response surface method, an extension of second-order polynomial regression, was used to examine optimal treatment conditions. Mold population and milled rice discoloration from a combination of storage conditions were predicted using regression models. The first-order and second-order terms of temperature indicated a nonlinear relationship between temperature and ln(discoloration). The MC was positively associated with ln(discoloration), but the degree of impact may change with temperature because the interaction term was significant. From the model evaluation (R2 and lack-of-fit test), the discoloration level is expected to be 57% (49% to 66% confidence interval) under conditions of 20% MC, 40°C, and nine weeks of storage for samples procured from fungicide-treated rice fields. This discoloration change is substantial compared to the initial discoloration of 9%. At high temperature (40°C) and MC (21%), discoloration started immediately after two weeks of storage. Anaerobic storage conditions impeded mold growth, especially at high storage temperature (40°C). Low mold populations were observed in rice stored at low MC (16%). According to the regression model, the critical storage temperature that may lead to discoloration is between 27°C and 40°C. Pre-harvest fungicide treatment of rice in the field for disease control significantly improved the HRY but had no significant influence on mold population or discoloration. This study suggests a range of storage conditions to prevent losses in milling yield and quality of rice. In addition, the studied storage conditions mimicked the typical conditions for on-farm, in-bin drying and storage in the U.S. Mid-South, especially for the top layers of rice inside the bin, and therefore provide an important reference for growers and rice processors using in-bin structures to manage the quality of long-grain hybrid rice. Keywords: Discoloration, Head rice yield, Mold population, Regression analysis, Rice quality, Rice storage.


AGRICOLA ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 1-6
Author(s):  
Siti Hasdiyanti Ramadhani ◽  
Ni Luh Sri Suryaningsih ◽  
Yosefina Mangera

The purpose of the study was to determine the quality of the grainand rice are planted, the ricevarieties Inpago Unsoed 1. The research method use dis data collection, namely primary data andsecondary data. Primary data is used for observed in this research about grain moisturecontent,density of grain, foreign bodies, empty grains, grain crackedor broken, after the percentage ofgrain milled head of rice, broken rice, graing roats, grain limestone, yolk broken and milled rice yield.The results showed that during the observation the quality of grain varieties Inpago Unsoed 1 hasmilled at about 13,33% moisture content, grain density of 0,57g/ml, and grain weight is 27,60g/1000grain. The percentage point for the determination quality of head point is 73,49%, broken grainsabout 13,92%, and 12,34% graing roats. The quality of rice milled varieties inpago Unsoed 1 includelow. The lower of rice quality is due to the low of head rice percentage, while the percentage ofbroken grain sand high graing roats. Rice milled yield about 51,23%


2021 ◽  
Vol 2 (2) ◽  
pp. 74-78
Author(s):  
Md. Abdul Wazed ◽  
N. H. M. Rubel Mozumder ◽  
Md. Sazzat Hossain Sarker

Drying of high moisture paddy to achieve quality milled rice is an important issue in a paddy producing country like Bangladesh. This study has been conducted to investigate the impact of two stage drying technique namely, fluidized bed drying, tempering and followed by fixed bed drying method on quality of BRRI Dhan28 rice variety in terms of head rice yield (HRY). Moist paddy was dried in fluidized bed dryer (FBD) as first stage drying to reduce moisture from 25-27% to 18-19% using three drying temperatures of 120, 130, and 150°C at three bed thicknesses of 8, 10, and 12 cm. The first stage dried samples were immediately tempered for 30 minutes and dried in second stage drying by fixed bed dryer using 40±10C temperature maintaining bed thickness as 30 cm for the further reduction of moisture content to 13-14% (wb). Sun drying method was followed as complete drying of control sample. Control sample was used to compare the milling quality of rice dried in two stage drying technique. In addition, head rice yield was also compared to existing industrial paddy drying complexes. The results revealed that HRY of rice samples obtained from different drying methods was comparable. All the sets of drying parameters in two stage drying yielded better quality HRY than the control and even existing industrial drying method. The highest HRY (53.43%) of milled rice was obtained in the two-stage drying. On the other hand, the samples dried in the sun drying and industrial drying using Louisiana State University (LSU) dryer yielded 49.77% and 48.25% HRY, respectively. Therefore, the two-stage drying technique can be used for drying of high moisture paddy to obtain quality dried rice.


2012 ◽  
Vol 472-475 ◽  
pp. 1707-1713
Author(s):  
Pradit Ramatchima ◽  
Somposh Sudajan ◽  
Chaiyan Junsiri ◽  
Thavachai Thivavarnvongs

This research was aimed at studying the effects of heating the paddy for insect killing and thereby improving subsequently milled rice quality. The experimental temperatures were in the range of 120-200°C, the paddy feeding rates were 60, 120, and 180 kg/h and the heights of the vibration screen were 5, 6, and 8 mm. The findings indicated that when the feeding rates increased between 120 and 180 kg/h, the insect death rate increased for nearly all temperature levels, whereas the feeding rate of 60 kg/h and the vibration screen height of 6 mm were found to give 100% insect killing efficiency. The resulting head rice yield increased by 0.3-0.7% for a screen height of 8 mm. The quantity of broken rice decreased whereas the total rice quantity did not vary significantly; the milled rice had a whiteness index slightly increased when compared to the reference rice.


2021 ◽  
Vol 39 (4) ◽  
pp. 1247-1254
Author(s):  
A.B. Muochebe ◽  
O.C. Nwajinka ◽  
I.E. Nwatu

Optimization study was carried out on the parboiling process variables for improving the milling quality of FARO-44 rice variety using Response Surface Methodology (RSM) in Central Composite Design (CCD). The variables studied were initial soaking temperature (IST), soaking time (SKt) and steaming time (STt) including their interactive effects.The range of the input variables studied were 70-90oC, 8-12hrs and 40-50minsfor initial soaking temperature, soaking time and steaming time respectively. For thisstudy, a total of twenty (20) randomized experimental runs comprising one (1) replicate of factorial point, one (1) replicate of axial point (alpha 2.7) and six (6) centre point in the design space. Analyses of variance (ANOVA) were performed on the experimental data sets and models were fitted for all the response variables generated. The result showed that the optimal parboiling variables were, 90 0C, 46mins and 10 hours,for initial soaking temperature, steaming time and soaking time respectively with their corresponding optimum response 58.7%, 6.7% and 58.1% for Head rice yield (based on parboiled paddy weight), breakage ratio and milled rice colour (based on illumination). The  composite desirability is 0.793 which maximized the percentage Head rice yield (HRY) and milled rice colour (MRC) but minimized the percentage Breakage Ratio (BR). Keywords: optimization, Response Surface Methodology, FARO-44, Rice,Head rice, parboiling 


Author(s):  
E.Y. Papulova ◽  
◽  
K.K Olkhovaya

The work shows that application of increased doses of nitrogen does not significantly affect the total milling yield and affects the head rice content. The ambiguous nature of the variability of the grain quality of rice varieties under conditions of different doses of nitrogen fertilizers confirms the need for further studies of the varietal reaction to the level of nitrogen nutrition, based on it - the development of rice cultivation technology modes in order to obtain rice yield with high grain quality.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Khurram Yousaf ◽  
Chen Kunjie ◽  
Chen Cairong ◽  
Adnan Abbas ◽  
Yuping Huang ◽  
...  

The response surface methodology was used to optimize the hydrothermal processing conditions based on the rice quality parameters of the Rong Youhua Zhan rice variety (Indica). The effect of soaking temperature (29.77, 40, 55, 70, and 80.23°C), soaking time (67.55, 90, 120, 150, and 170.45 min), and steaming time (1.59, 5, 10, 15, and 18.41 min), each tested at five levels, on percentage of head rice yield (HRY), hardness, cooking time, lightness, and color were determined, with R2 values of 0.96, 0.94, 0.90, 0.88, and 0.94, respectively. HRY, hardness, cooking time, and color increased with process severity while lightness decreased, although HRY decreased after reaching a maximum. The predicted optimum soaking temperature, soaking time, and steaming time were 69.88°C, 150 min, and 6.73 min, respectively, and the predicted HRY, hardness, cooking time, lightness, and color under these conditions were 73.43%, 29.95 N, 32.14 min, 83.03 min, and 12.24 min, respectively, with a composite desirability of 0.9658. The parboiling industry could use the findings of the current study to obtain the desired quality of parboiled rice. This manuscript will be helpful for researchers working on commercializing parboiled rice processes in China as well as in other countries.


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