Influence of Plant Density and Nitrogen on Yield and Milling Quality of Lowland Rice in Nigeria

1977 ◽  
Vol 13 (1) ◽  
pp. 17-24 ◽  
Author(s):  
S. O. Fagade ◽  
A. A. Ojo
Keyword(s):  
Plant Density ◽  
Lowland Rice ◽  
Milled Rice ◽  
Plant Populations ◽  
Rice Varieties ◽  
N Application ◽  
Milling Quality ◽  
Head Rice

SUMMARYIn experiments conducted with three rice varieties at different plant populations and N levels, the non-lodging varieties responded to 150 kg N/ha. The highest yield in non-lodging varieties were at the highest transplanted density, but at the lowest density in the lodging variety. The percentage of total milled rice of all varieties was not significantly affected by N application, which improved head-rice recovery in chalky IR-8, but had no significant effect on non-chalky varieties. Competition for nutrients could be a major factor limiting head rice return at high densities.

scholarly journals Mutu Fisik, Mutu Giling dan Mutu Fungsional Beras Varietas Lokal Kalimantan Barat

2016 ◽  
Vol 35 (1) ◽  
pp. 19
Author(s):  
Siti Dewi Indrasari ◽  
Ami Teja Rakhmi ◽  
Agus Subekti ◽  
Kristamtini Kristamtini
Keyword(s):  
Brown Rice ◽  
Functional Characteristic ◽  
Red Rice ◽  
Milled Rice ◽  
Rice Varieties ◽  
Milling Quality ◽  
West Kalimantan ◽  
Quality Properties ◽  
Head Rice

The physical of paddy and milled rice qualities, physicochemical properties and the functional properties of milled rice were analyzed to study the grain characteristics of four local paddy varieties derived from West Kalimantan. The study was conducted at Post Harvest Grain Quality Laboratory, Indonesian Center for Rice Research in 2013. Method used for physical and milling quality properties followed IRRI method. Functional characteristic was analyzed using LC-MS. The observations were done in six replications. The data was analyzed for the correlation among characters. Significant correlation between characters was further analysed for regression equation. The shapes of grains of local rice varieties were slim to medium. There was correlation between paddy moisture content and head rice percentage, between damaged grain and paddy density, between yield of brown rice and yield of milled rice, and percentage of head rice, between percentage of head rice and yield of milled rice, and between empty grain and broken grain. The functional character relationship showed that Cyanidin 3 Glucosidase (C3G) content of brown rice influenced the C3G content of milled rice. “Sanik” red rice, “Beliah” purple rice and “Balik” black rice may be useful to be used as parent for crossing in the breeding program for functional rice varieties, due to their good quality of milled rice and their high content of C3G. The C3G is considered as anticancer, antioxidant, anti coronaria heart disease and it improves fat profiles in the blood. Therefore, colored rice is recommended to be consumed in a form of brown rice or milled rice with 80% degree milling to retain the C3G content which is beneficial for the human health.

scholarly journals Physical and Milling Quality of Milled Rice in Indonesia

2021 ◽  
Vol 17 (2) ◽  
pp. 33-40
Author(s):  
Mahargono Kobarsih ◽  
Siti Dewi Indrasari
Keyword(s):  
High Yield ◽  
Eating Quality ◽  
Milled Rice ◽  
Rice Varieties ◽  
Rice Quality ◽  
Milling Quality ◽  
High Productivity ◽  
Pigmented Rice ◽  
Local Cultivar

More than 250 rice varieties are grown in Indonesia from new superior varieties and local varieties with aromatic, non-aromatic aromas and pigmented rice. Rice quality is one factor that must be considered in addition to high productivity. Generally, the quality of grain and rice quality in Indonesia have met the quality standards set based on SNI 0224-1987/SPI-TAN/01/01/1993 and SNI 6128:2020. Ricequality is determined by several factors such as grain appearance, nutritional value, cooking and eating quality and become one of the foremost considerations for rice buyers. Such information can be utilized as basic data of character of genetic resources on assembling of new superior varieties by rice breeders. Those information can be used as a descriptive information for farmers and rice productivity, high yield, and better rice quality. Good quality local cultivar can be used as parents for the formation of new superior varieties.

scholarly journals Analysis of Physical Quality and Nutrition of Two Rice Varieties With the Implementation of Various Planting Systems

2018 ◽  
Vol 6 (1) ◽  
pp. 20-29 ◽  
Author(s):  
RATNA W. ARIEF ◽  
R. ASNAWI ◽  
B. BAKRIE
Keyword(s):  
Nutritional Quality ◽  
New Technologies ◽  
Milled Rice ◽  
Double Row ◽  
Rice Varieties ◽  
Physical Quality ◽  
Randomized Design ◽  
Head Rice ◽  
Planting System

As an effort to overcome problems in rice cultivation system, it is necessary to use new technologies and innovations. This study aims to determine the physical and nutritional quality of grain and milled rice from 2 varieties of rice using several planting systems. The research was conducted using a Completely Randomized Design of factorial pattern, consisting of 2 factors with 3 replications. The factors were: a) Planting system (S1 = Cubic S2 = Double row 2: 1, and S3 = Twin seed) and b) Rice varieties (V1 = Ciherang; V2 = Inpari 10). The observation parameters include: physical quality of grain, rice milled quality, physical quality of rice and rice nutrition. The results showed that the cubic planting system produced a higher empty grains than the double row and twin seed planting system. The twin seed planting system, yielding lime green grains and yellow broken grains lower than other planting systems, both on rice varieties of Ciherang and Inpari 10. Grains from Ciherang variety had a thinner shell and a higher hardness level of rice compared to grain of Inpari 10 variety, resulting in higher milled rice and head rice, but lower in broken rice and rice groats contents. It can be concluded that: a) the physical quality of rice was not affected by the planting system, but it was significantly affected by the rice varieties; b) the planting system and rice varieties used in this study did not have significant effect on the nutritional quality of the rice produced.

scholarly journals Effects of introduction of combine harvester and flatbed dryer on milling quality of three glutinous rice varieties in Lao PDR

2018 ◽  
Vol 22 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Khamtay Vongxayya ◽  
Darunee Jothityangkoon ◽  
Danuphol Ketthaisong ◽  
Jaquie Mitchell ◽  
Phetmanyseng Xangsayyasane ◽  
...  
Keyword(s):  
Lao Pdr ◽  
Rice Varieties ◽  
Milling Quality ◽  
Glutinous Rice ◽  
Combine Harvester

CHARACTERISTICS OF MILLING YIELD OF RICE VARIETIES OF RUSSIAN BREEDING GROWN IN VARIOUS CONDITIONS OF NITROGEN NUTRITION IN THE ABINSKIY DISTRICT OF THE KRASNODAR REGION

2020 ◽  
Author(s):  
E.Y. Papulova ◽  
◽  
K.K Olkhovaya
Keyword(s):  
Grain Quality ◽  
Rice Yield ◽  
Nitrogen Nutrition ◽  
Nitrogen Fertilizers ◽  
Rice Varieties ◽  
Head Rice ◽  
Cultivation Technology ◽  
Milling Yield ◽  
Different Doses

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.

scholarly journals Effect of Integrated Nutrient Management on Yield and Quality of Basmati Rice Varieties

2019 ◽  
Vol 11 (5) ◽  
pp. 93
Author(s):  
Uppu Sai Sravan ◽  
Shiv Prakash Singh
Keyword(s):  
Nutrient Management ◽  
Farmyard Manure ◽  
Quality Parameters ◽  
Recommended Dose ◽  
Basmati Rice ◽  
Rice Varieties ◽  
Blue Green Algae ◽  
Yield And Quality ◽  
Head Rice

A 2-year study conducted to determine the effect of integrated nutrient management on yield and quality of basmati rice varieties in non-traditional area with 54 plots in split plot design. Variety HUBR 10-9 produced 18.8% higher mean grain yield and superior quality parameters than HUBR 2-1. Mean milling, head rice recovery, amylose content and alkali digestion value noted higher with HUBR 10-9 by 4.1%, 4.1%, 8.5% and 15.1% over HUBR 2-1, respectively. Addition of 75% recommended dose of fertilizers with 25% recommended dose of nitrogen as farmyard manure produced higher mean values by 3.1%, 4.2% and 4.0% for hulling, milling and head rice recovery respectively over 100% recommended dose applied as inorganic sources. Combined use of bio-inoculants (blue green algae plus Azospirillum) exhibited higher values for yield and quality parameters. HUBR 10-9 be grown using 75% recommended dose of fertilizers with 25% nitrogen as farmyard manure and blue green algae plus Azospirillum for enhancement in yield and quality in non-traditional areas of eastern Uttar Pradesh. Further investigation required under diverse conditions.

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.

Causal mechanism for determination of grain yield and milling quality of lowland rice

2007 ◽  
Vol 102 (3) ◽  
pp. 178-184 ◽  
Author(s):  
Marcin Kozak ◽  
Pankaj K. Singh ◽  
Med Ram Verma ◽  
Dipak K. Hore
Keyword(s):  
Grain Yield ◽  
Lowland Rice ◽  
Causal Mechanism ◽  
Milling Quality

Prediction of Rice Milling Yield and Quality Attributes during Storage Using Regression Analyses

2019 ◽  
Vol 62 (5) ◽  
pp. 1259-1268
Author(s):  
Soraya Shafiekhani ◽  
Jung Ae Lee ◽  
Griffiths G. Atungulu
Keyword(s):  
Hybrid Rice ◽  
Storage Temperature ◽  
Rice Yield ◽  
Storage Conditions ◽  
Milled Rice ◽  
Yield And Quality ◽  
Head Rice ◽  
Rough Rice ◽  
Milling Yield

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.

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