scholarly journals Developmental Observation and High Temperature Rescue from Hybrid Weakness in a Cross between Japanese Rice Cultivars and Peruvian Rice Cultivar ‘Jamaica’

2007 ◽  
Vol 57 (4) ◽  
pp. 281-288 ◽  
Author(s):  
Toshiya Saito ◽  
Katsuyuki Ichitani ◽  
Tsukasa Suzuki ◽  
Wataru Marubashi ◽  
Tsutomu Kuboyama
Keyword(s):  
High Temperature ◽  
Rice Cultivar ◽  
Rice Cultivars ◽  
Hybrid Weakness

scholarly journals Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP

2021 ◽  
Vol 22 (11) ◽  
Author(s):  
Taufan Alam ◽  
Priyono Suryanto ◽  
Supriyanta Supriyanta ◽  
Panjisakti Basunanda ◽  
Rani Agustina Wulandari ◽  
...  
Keyword(s):  
Rice Cultivar ◽  
Agroforestry System ◽  
Agroforestry Systems ◽  
Soil Types ◽  
Environment Interaction ◽  
Rice Cultivars ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Cultivar Selection ◽  
Melaleuca Cajuputi

Abstract. Alam T, Suryanto P, Supriyanta, Basunanda P, Wulandari RA, Kastono D, Widyawan MH, Nurmansyah, Taryono. 2021. Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP. Biodiversitas 22: 4750-4757. Genotype-by-environment interaction (GEI) causes differences in the productivity of rice cultivars in agroforestry systems. For this reason, the stability of rice cultivars is an important aspect that should be considered before a cultivar is recommended to farmers. Superior genotypes and ideal environments are commonly identified using two statistical models, namely, genotype–genotype-by-environment biplot (GGE-biplot) and empirical best linear unbiased prediction (EBLUP). In this study, 15 rice cultivars were evaluated in terms of their productivity and stability in three soil types (Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs) in an agroforestry system with kayu putih (Melaleuca cajuputi) in 2019 and 2020 at the Menggoran Forest Resort, Playen Forest Section, Yogyakarta Forest Management District, Indonesia. The cultivars were treated as random effects to select and obtain the EBLUP of the best cultivars in each soil type. The EBLUP revealed that Situ Patenggang showed the highest yields of 4.887 and 5.456 tons ha?1 in Lithic Haplusterts and Vertic Haplustalfs, respectively. GM 28 exhibited the highest yield of 6.492 tons ha?1 in Ustic Epiaquerts. Ciherang, GM 2, GM 8, GM 11, GM 28, Inpari 6 Jete, Inpari 33, IR-64, and Way Apo Buru were classified as stable and fairly stable cultivars, whereas the other cultivars were unstable. Therefore, rice cultivars with high yields in specific soil types should be selected.

scholarly journals Genetic studies for breeding of rice cultivars with superior grain appearance and lodging resistance from the rice cultivar ‘Emi-no-kizuna’

2019 ◽  
Vol 22 (4) ◽  
pp. 546-553
Author(s):  
Ichiro Nagaoka ◽  
Hideki Sasahara ◽  
Kei Matsushita ◽  
Hideo Maeda ◽  
Shuichi Fukuoka ◽  
...  
Keyword(s):  
Rice Cultivar ◽  
Rice Cultivars ◽  
Lodging Resistance ◽  
Genetic Studies

scholarly journals A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 117 ◽  
Author(s):  
Yousef Abbaspour-Gilandeh ◽  
Amir Molaee ◽  
Sajad Sabzi ◽  
Narjes Nabipur ◽  
Shahaboddin Shamshirband ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Brown Rice ◽  
Principal Component ◽  
Rice Cultivar ◽  
Rice Cultivars ◽  
Texture Properties ◽  
Effective Components ◽  
Significant Difference ◽  
Artificial Neural

Due to the importance of identifying crop cultivars, the advancement of accurate assessment of cultivars is considered essential. The existing methods for identifying rice cultivars are mainly time-consuming, costly, and destructive. Therefore, the development of novel methods is highly beneficial. The aim of the present research is to classify common rice cultivars in Iran based on color, morphologic, and texture properties using artificial intelligence (AI) methods. In doing so, digital images of 13 rice cultivars in Iran in three forms of paddy, brown, and white are analyzed through pre-processing and segmentation of using MATLAB. Ninety-two specificities, including 60 color, 14 morphologic, and 18 texture properties, were identified for each rice cultivar. In the next step, the normal distribution of data was evaluated, and the possibility of observing a significant difference between all specificities of cultivars was studied using variance analysis. In addition, the least significant difference (LSD) test was performed to obtain a more accurate comparison between cultivars. To reduce data dimensions and focus on the most effective components, principal component analysis (PCA) was employed. Accordingly, the accuracy of rice cultivar separations was calculated for paddy, brown rice, and white rice using discriminant analysis (DA), which was 89.2%, 87.7%, and 83.1%, respectively. To identify and classify the desired cultivars, a multilayered perceptron neural network was implemented based on the most effective components. The results showed 100% accuracy of the network in identifying and classifying all mentioned rice cultivars. Hence, it is concluded that the integrated method of image processing and pattern recognition methods, such as statistical classification and artificial neural networks, can be used for identifying and classification of rice cultivars.

Red Rice (Oryza sativa) Biology. II. Ecotype Sensitivity to Herbicides

1999 ◽  
Vol 13 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Jose A. Noldin ◽  
James M. Chandler ◽  
Mary L. Ketchersid ◽  
Garry N. McCauley
Keyword(s):  
Oryza Sativa ◽  
Rice Cultivar ◽  
Rice Cultivars ◽  
Red Rice

Greenhouse studies were conducted to evaluate sensitivity of red rice ecotypes from Arkansas, Louisiana, Mississippi, and Texas to soil- and foliar-applied herbicides. Ecotype response to herbicides was variable. Molinate at 4.48 kg ai/ha controlled red rice ecotypes 92 to 100% and cultivars ‘Lemont,’ ‘Mars,’ and ‘Maybelle’ 39 to 63%. Red rice control with thiobencarb at 4.48 kg ai/ha was at least 89%. The tank mixture of fenoxaprop at 0.08 kg ai/ha plus fluazifop-P at 0.10 kg ai/ha controlled red rice and rice cultivars more than for either herbicide applied alone. Red rice and rice cultivar control with paraquat at 0.70 kg ai/ha was 83 to 100%. Blackhulled red rice TX 4 was less sensitive to paraquat and glufosinate than other ecotypes and cultivars. Glufosinate at 1.12 kg ai/ha was required to provide at least 94% control of ecotype TX 4.

Arsenate-Resistant Genes in Egyptian Rice Cultivars as Soil Pollution Sensors

2017 ◽  
Author(s):  
Elsayed E. Hafez ◽  
Ebtesam A. El. Bestawy ◽  
Mohamed A. Rashad ◽  
Sayed M. Hassan
Keyword(s):  
Soil Pollution ◽  
Messenger Rna ◽  
Basal Medium ◽  
Rice Cultivar ◽  
Rice Cultivars ◽  
Rice Varieties ◽  
Arbitrary Primers ◽  
Barr Virus ◽  
Rice Grains ◽  
Resistant Genes

The main objective of the present study was to investigate arsenate [As (V)] resistance genes in rice cultivars grown in arsenic contaminated Egyptian soil in order to genetically induce resistance against arsenic in the local rice varieties as well as defining contaminated rice grains and/or soil. Three local rice cultivars; Sakha 102-104 were cultivated on modified Murashige and Skoog Basal Medium (MS medium) containing elevated concentrations of arsenate (0.1, 1 and 10 mg/l). The three varieties showed different resistant attitudes against arsenate with Sakha 104 being the most resistant. Extracted messenger RNA (mRNA) from treated and untreated Sakha 104 plantlets was scanned using differential display to demonstrate the arsenate resistant genes using three different arbitrary primers. About 100 different RNAs with (1500 bp - 50 bp) were obtained from which seven were up-regulated genes, subjected to DNA cloning using TOPO TA system and the selected clones were sequenced. The sequence analysis described four genes out of the seven namely disease resistance protein RPM1, Epstein-Barr virus EBNA-1-like, CwfJ family protein and outer membrane lipoprotein OmlA while the other three genes were hypothetical proteins. It is concluded the four induced genes in the resistant rice cultivar considered as a direct response to arsenic soil pollution. Genes detected in the present study can be used as geno-sensors for rice grains and soil contamination with As (V). Moreover, local rice cultivars may be genetically modified with such genes to induce high resistance and to overcome arsenic soil pollution.

Effect of High Temperature Intermittent Drying on Rice Seed Viability and Vigor

2017 ◽  
Vol 13 (10) ◽  
Author(s):  
Pan Wang ◽  
Dong Li ◽  
Li-jun Wang ◽  
Benu Adhikari
Keyword(s):  
High Temperature ◽  
Ambient Temperature ◽  
Seed Viability ◽  
Seed Vigor ◽  
Drying Rate ◽  
Rice Seed ◽  
Rice Cultivars ◽  
Moisture Contents ◽  
Rice Seeds ◽  
Tempering Process

AbstractThis work aimed at determining whether high temperature intermittent drying followed by tempering at ambient temperature could preserve the seed viability and vigor.JaponicaandIndicarice seeds with 21.2 % and 22.6 % wet moisture contents (w.b.) were dried at 50 ºC and 60ºC for either 5, 10, 15 or 20 minutes, followed by tempering at 25ºC for 45 minutes. Each drying cycle was repeated until the rice seeds were dried to 12.0 % (w.b.). The drying rate was improved and the total in-dryer time was reduced in the intermittent drying when compared to continuous drying, due to the tempering process. The seed vigor was significantly reduced by intermittent drying at 60 °C with all exposure times, although the seed still kept the ability to germinate for both rice cultivars. The intermittent drying at 50 ºC for 5 minutes per drying cycle preserved the seed vigor ofJaponicarice well, while inIndicarice, the intermittent drying at 50 ºC up to 20 minutes could still be able to maintain the seed vigor.

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