scholarly journals Rice (Oryza sativa L.) Growth Modeling Based on Growth Degree Day (GDD) and Artificial Intelligence Algorithms

Agriculture ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Li-Wei Liu ◽  
Chun-Tang Lu ◽  
Yu-Min Wang ◽  
Kuan-Hui Lin ◽  
Xing-Mao Ma ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Gene Expression Programming ◽  
Model Performance ◽  
Growth Period ◽  
Rice Production ◽  
Growth Prediction ◽  
Rice Growth ◽  
Degree Day

Rice (Oryza sativa L.) growth prediction is key for precise rice production. However, the traditional linear rice growth forecasting model is ineffective under rapidly changing climate conditions. Here we show that growth rate (Gr) can be well-predicted by artificial intelligence (AI)-based artificial neural networks (ANN) and gene-expression programming (GEP), with accumulated air temperatures based on growth degree day (GDD). In total, 10,246 Gr from 95 cultivations were obtained with three cultivars, TK9, TNG71, and KH147, in Central and Southern Taiwan. The model performance was evaluated by the Pearson correlation coefficient (r), root mean square error (RMSE), and relative RMSE (r-RMSE) in the whole growth period (lifecycle), as well as the average and specific key stages (transplanting, 50% initial tillering, panicle initiation, 50% heading, and physiological maturity). The results in lifecycle Gr modeling showed that ANN and GEP models had comparable r (0.9893), but the GEP model had the lowest RMSE (3.83 days) and r-RMSE (7.24%). In stage average and specific key stages, each model has its own best-fit growth period. Overall, GEP model is recommended for rice growth prediction considering the model performance, applicability, and routine farming work. This study may lead to smart rice production due to the enhanced capacity to predict rice growth in the field.

Multiple alleles at Early flowering 1 locus making variation in the basic vegetative growth period in rice (Oryza sativa L.)

2009 ◽  
Vol 119 (2) ◽  
pp. 315-323 ◽  
Author(s):  
Hiroki Saito ◽  
Qingbo Yuan ◽  
Yutaka Okumoto ◽  
Kazuyuki Doi ◽  
Atsushi Yoshimura ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Vegetative Growth ◽  
Oryza Sativa L ◽  
Growth Period ◽  
Early Flowering ◽  
Multiple Alleles ◽  
Basic Vegetative Growth

scholarly journals Potensi Asap Cair dari Sekam untuk Meningkatkan Pertumbuhan dan Produksi Padi ( Oryza sativa L.)

BUANA SAINS ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 23
Author(s):  
Istiqomah Istiqomah ◽  
Dian Eka Kusumawati
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Agricultural Waste ◽  
Block Design ◽  
Staple Food ◽  
Single Factor ◽  
Liquid Smoke ◽  
Rice Growth ◽  
Randomized Block Design ◽  
High Production

Rice is the main staple food in Indonesia. The high needs of national rice must be balanced with the high production of rice crops. One of the efforts to increase the production of rice is the application of liquid smoke originated from agricultural waste, namely husk. The research was aimed to determine the effect of the application of husk liquid smoke on rice growth and production. The research used a single-factor randomized block design (RBD) with 5 treatments and 5 replications. The treatments consisted of several concentrations of liquid smoke : 0% (control), 0.5%, 1%, 2%, and 3%. This research employed several stages; land processing, seedling nursery, rice planting, applicating the liquid smoke, fertilizing, maintaining plants, and harvesting. The results showed that the application of husk liquid smoke significantly affected all observational parameters. On the parameters of rice growth and production, the application of 2% liquid smoke showed the best result. The plant height increased by 25.80% and the number of tillers increased by 49.70% compared to the control. The highest increase is in the number of grains per panicle and the weight of 1000 grains was 4,984% and 26.78% respectively.

scholarly journals Identification of fgr gene and preliminary evaluation for agronomic traits of pandan sticky rice variety (Oryza sativa L.)

2019 ◽  
Vol 02 ◽  
pp. 39-48
Author(s):  
Toan D. Pham
Keyword(s):  
Oryza Sativa ◽  
Agronomic Traits ◽  
Oryza Sativa L ◽  
Rice Variety ◽  
Rice Production ◽  
Molecular Techniques ◽  
High Yield ◽  
Preliminary Evaluation ◽  
Rice Varieties ◽  
Fgr Gene

Rice (Oryza sativa L.) is the most important food crop in Vietnam particularly in the Mekong Delta. Screening of good quality and high yield rice varieties are needed for rice production in Vietnam. The purpose of this study was to use molecular techniques to identify fgr gene and to evaluate preliminarily agronomic traits of pandan sticky rice variety. The results showed that this variety contained fgr gene. The fragrant allele was amplified by ESP - IFAP primers with a product of 255 bp in size. Similarly, evaluation of agronomic traits showed that the pandan sticky rice variety displayed many desirable characteristics such as plant height of 108 cm, panicle length of 25.6 cm, seed/panicle 135, 100-grain weight 2.07 g, pandan smell, level 2 of alkali digestion, gel consistency 93 mm. These results were useful information and could be applied for improving and providing pandan sticky rice variety for rice production.

scholarly journals Faktor-Faktor Yang Mempengaruhi Produksi, Konsumsi, dan Harga Beras di Provinsi Aceh

2017 ◽  
Vol 2 (4) ◽  
pp. 315-322
Author(s):  
Ade Israwati ◽  
Teuku Makmur ◽  
Zakiah Zakiah
Keyword(s):  
Oryza Sativa ◽  
Quantitative Research ◽  
Oryza Sativa L ◽  
Rice Production ◽  
Least Square ◽  
Two Stage ◽  
Aceh Province ◽  
Rice Consumption ◽  
Rice Prices ◽  
Per Capita

Abstrak. Beras yang menjadi bagian bulir tanaman padi (Oryza Sativa L.) merupakan salah satu penganan pokok (primer) di Indonesia. Beras menjadi komoditas penting di Indonesia karena negara ini memiliki konsumsi beras per kapita terbesar di dunia. Provinsi Aceh merupakan salah satu provinsi dengan produksi padi tertinggi dan cukup stabil di Indonesia. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor apa saja yang mempengaruhi produksi, konsumsi, dan harga beras di Provinsi Aceh dengan menggunakan metode penelitian kuantitatif. Metode yang digunakan dalam penelitian adalah metode kualitatif (deskriptif) dan metode kuantitatif. Model yang digunakan adalah modifikasi model ekonometri, yaitu metode 2SLS (two stage least square). Hasil penelitian menunjukkan bahwa produksi beras di Provinsi Aceh dipengaruhi oleh harga beras lokal, harga gabah tingkat petani, luas areal panen dan harga pupuk. Konsumsi beras di Provinsi Aceh dipengaruhi oleh harga beras lokal dan pendapatan perkapita penduduk. Dan harga jual beras lokal Provinsi Aceh produksi beras dan konsumsi beras.Factors Affecting Production, Consumption, and Price of Rice In Aceh Province.Abstract. Rice that come from rice plant (Oryza Sativa L.), is one of staple food (primary) in Indonesia. Rice become important commodity in Indonesia because this country being the largest rice consumption per capita in the world. Aceh province is one of province with the highest rice production and stable enough in Indonesia. This study aims to determine what factors that affect production, consumption, and price in Aceh, which is this sudy uses quantitative research method. The method that used in this research is qualitative method (descriptive) and quantitative method. The model that used is modification of econometric model, which is 2SLS method (two stage least square). The result of this study showed that rice production in Aceh Province are affected by local rice prices, grain prices on farmers level, harvest area, and fertilizer prices. Rice consumption in Aceh Province are affected by local rice prices and income per capita. And local rice prices in Aceh Province are affected by rice production and rice consumption.

scholarly journals Resistance Genes and their Interactions with Bacterial Blight/Leaf Streak Pathogens (Xanthomonas oryzae) in Rice (Oryza sativa L.)—an Updated Review

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Nan Jiang ◽  
Jun Yan ◽  
Yi Liang ◽  
Yanlong Shi ◽  
Zhizhou He ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Bacterial Blight ◽  
Oryza Sativa L ◽  
Rice Production ◽  
Xanthomonas Oryzae ◽  
Bacterial Leaf Streak ◽  
Viral Pathogens ◽  
Effector Genes ◽  
Broad Spectrum Resistance ◽  
Genomic Studies

AbstractRice (Oryza sativa L.) is a staple food crop, feeding more than 50% of the world’s population. Diseases caused by bacterial, fungal, and viral pathogens constantly threaten the rice production and lead to enormous yield losses. Bacterial blight (BB) and bacterial leaf streak (BLS), caused respectively by gram-negative bacteria Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae pv. oryzicola (Xoc), are two important diseases affecting rice production worldwide. Due to the economic importance, extensive genetic and genomic studies have been conducted to elucidate the molecular mechanism of rice response to Xoo and Xoc in the last two decades. A series of resistance (R) genes and their cognate avirulence and virulence effector genes have been characterized. Here, we summarize the recent advances in studies on interactions between rice and the two pathogens through these R genes or their products and effectors. Breeding strategies to develop varieties with durable and broad-spectrum resistance to Xanthomonas oryzae based on the published studies are also discussed.

scholarly journals The role of effluent water irrigation in the mineral absorption of aerobic rice varieties (Oryza sativa L.)

2020 ◽  
Author(s):  
Marks Ibadzade ◽  
Ágnes Kun ◽  
Árpád Székely ◽  
Tímea Szalóki ◽  
Károly Penksza ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
River Water ◽  
Irrigation Water ◽  
Oryza Sativa L ◽  
Rice Production ◽  
Water Bodies ◽  
Aerobic Rice ◽  
Rice Varieties ◽  
Lysimeter Experiment ◽  
The Impact

AbstractQuality and quantity of different irrigation water types from conventional and alternative sources have a significant role on the productive parameters and chemical composition of crop plants. Appropriate alternative water sources and the reutilization of agricultural effluents can reduce the impact of rice production and animal husbandry on the natural water bodies. In the present study, influence of four different types of irrigation water was analyzed on the nutrient uptake (P, K, Ca, Mg, Na) of aerobic rice (Oryza sativa L.) in a complex lysimeter experiment in two consecutive years. Early maturing Hungarian rice varieties (M 488 and Janka) were irrigated with traditional river water (RW) and different alternative irrigation sources to evaluate the feasibility of a sodium containing intensive fish farm effluent with (EWG) or without (EW) gypsum supplementation and with the addition of natural river water (EWGR). Significant effects on the mineral content of the aboveground biomass were measured. P uptake by M 488 and Janka decreased after the irrigation with EW in 2017. In case of EW, EWG and EWGR, the Na content increased significantly (p ≤ 0.05) in both varieties; however, pre-treatment of salt containing effluent waters can moderate the stress level. As a consequence, the ability of both rice varieties to absorb Na suggests that rice production could be conditionally part of bioremediation of salt-affected soils and water bodies.

scholarly journals Assessment of triasulfuron on weed dynamics and yield of transplanted rice (Oryza sativa L.)

2018 ◽  
Vol 10 (3) ◽  
pp. 935-938
Author(s):  
Samartha Tewari ◽  
Rohitashav Singh ◽  
Anil Nath ◽  
Deepak Pandey
Keyword(s):  
Oryza Sativa ◽  
Field Experiment ◽  
Dry Matter ◽  
Oryza Sativa L ◽  
Block Design ◽  
Growth Period ◽  
Metsulfuron Methyl ◽  
Transplanted Rice ◽  
Broad Leaf ◽  
Weed Dynamics

A field experiment was managed during kharif season of 2014 in G. B. Pant University of Agriculture and Technology, Pantnagar (Uttarakhand) to assess the outcome of applying dissimilar rates of triasulfuron on the  transplanted rice (Oryza sativa L.) associated weeds. Treatments composed of triasulfuron at three different rates, metsulfuron methyl, ethoxysulfuron, 2, 4-D with 2 checks (weed free and untreated). Experiment was carried out in Randomised block Design with 8 treatments and 3 replications. Grassy weeds, broad leaf weeds and sedges were observed during the crop growth period. Triasulfuron at 12 g ha-1 proved most efficient in controlling weeds at 60 and 90 days after transplanting (DAT) with 44.4 % and 59.6 % WCE respectively. Minimum weed dry matter (65.1 g m2) was observed with triasulfuron at 12 g ha-1. Out of all the herbicidal treatments, triasulfuron at 12 g ha-1 gave the paramount grain yield of rice (5786 kg ha-1) which was significantly surpassing all other herbicidal treatments, while it was minimum in metsulfuron methyl at 4 g ha-1 (4417 kg ha-1).

scholarly journals RESPONSE OF THE GROWTH AND YIELD OF CIHERANG RICE (Oryza sativa L.) AND WEEDS ON THE DIFFERENT PLANTING METHODS AND WEEDING FREQUENCIES

Agrivet ◽  
2021 ◽  
Vol 24 (2) ◽  
Author(s):  
Djoko Heru Pamungkas ◽  
Zamroni Zamroni ◽  
Suprih Sudradjat
Keyword(s):  
Oryza Sativa ◽  
Rice Yield ◽  
Oryza Sativa L ◽  
Block Design ◽  
Dry Weight ◽  
Growth And Yield ◽  
Rice Growth ◽  
Planting Methods ◽  
Randomized Complete Block Design ◽  
Planting Method

This study aimed to observe the growth and yield of Chiherang rice (Oryza sativa L) and weeds in response of different planting methods and weeding frequencies. We conducted the study in Semampir, Argorejo, Sedayu Sub-district, Bantul District on April until August, 2018. We arranged field study using randomized complete block design in 3x2 factorials with 3 times repetition. First factor was Jajar legowo (J) stratified as 3 levels; 2:1 (J1), 4:1 (J2), dan 6:1 (J3). Second factor was weeding frequency in 2 levels which were 2 times in 14 and 70 hst (P1) and 3 times in 14, 49 and 70 hst (P2). Observed variables include Ciherang rice growth (plant height, total tillers, percentage of productive tillers, fresh and dried weight of each plant), components of rice yield (grain dry weight of each harvest, percentage of filled grains, yield of each hectares), and weeds (type of weeds, fresh and dry weight of weeds). We analyzed results using variance analysis with significant level of 5%, followed with 5% DMRT test. We found that application of jajar legowo planting method and weeding frequency do not correlates with all growth and weeding frequency variables of Ciherang rice and weeds. 2:1, 4:1 and 6:1 jajar legowo planting methods do not show significant impact both on Ciherang rice growth and yield, and also weeds. Both 2 times (14 and 70 hst) and 3 times (14, 49 and 70 hst) also do not have significant impact on all variables observed.Keywords: Jajar Legowo, Weeding Frequency, Ciherang Rice

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