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1

., F. C. Oad, Pompe Sta Cruz ., N. Memon ., N. L. Oad ., and Zia-Ul-Hassan . "Rice Ratooning Management." Journal of Applied Sciences 2, no. 1 (December 15, 2001): 29–35. http://dx.doi.org/10.3923/jas.2002.29.35.

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2

Panda, D., AK Nayak, and S. Mohanty. "Nitrogen management in rice." Oryza-An International Journal on Rice 56, Special Issue (May 29, 2019): 125–35. http://dx.doi.org/10.35709/ory.2019.56.s.5.

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Nitrogen is the one of most limiting nutrient for rice production, and in India rice cultivation alone accounts approximately 37% of the total fertilizer-N consumption in the year 1917-18. However, 60-70% of applied N is lost from the rice ecosystem system in the form of reactive N species such as ammonia (NH3), nitrous oxide (N2O), nitric oxide (NO), nitrogen dioxide (NO2) and nitrate (NO3) through various processes. Hence enhancing N use efficiency through improved N management is of greater importance for ensuring food security and environmental sustainability. The decisions on optimum level, time, form and method of N application are crucial to an efficient N management strategy. Earlier studies suggested blanket fertilizer recommendations for different rice ecosystems and soil test based fertilizer applications. Subsequently, innovative methods of N application including deep placement of urea super granule in reduced zone, subsurface incorporation of urea through farmer friendly methods were also recommended Recently several advancements have been made in N management practices for rice crop such as site specific N management, real time N management using leaf colour chart (LCC) and customised LCC, enhanced efficiency N fertilizers (EENF) using N transformation regulators and GIS and remote sensing (RS) - based N application technologies. The objective of this paper is to comprehensively discuss about the established and emerging N management options for improving yield, N use efficiency and environmental sustainability of rice.
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Panda, D., AK Nayak, and S. Mohanty. "Nitrogen management in rice." Oryza-An International Journal on Rice 56, Special (May 29, 2019): 125–35. http://dx.doi.org/10.35709/ory.2019.56.spl.5.

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Nitrogen is the one of most limiting nutrient for rice production, and in India rice cultivation alone accounts approximately 37% of the total fertilizer-N consumption in the year 1917-18. However, 60-70% of applied N is lost from the rice ecosystem system in the form of reactive N species such as ammonia (NH3), nitrous oxide (N2O), nitric oxide (NO), nitrogen dioxide (NO2) and nitrate (NO3) through various processes. Hence enhancing N use efficiency through improved N management is of greater importance for ensuring food security and environmental sustainability. The decisions on optimum level, time, form and method of N application are crucial to an efficient N management strategy. Earlier studies suggested blanket fertilizer recommendations for different rice ecosystems and soil test based fertilizer applications. Subsequently, innovative methods of N application including deep placement of urea super granule in reduced zone, subsurface incorporation of urea through farmer friendly methods were also recommended Recently several advancements have been made in N management practices for rice crop such as site specific N management, real time N management using leaf colour chart (LCC) and customised LCC, enhanced efficiency N fertilizers (EENF) using N transformation regulators and GIS and remote sensing (RS) - based N application technologies. The objective of this paper is to comprehensively discuss about the established and emerging N management options for improving yield, N use efficiency and environmental sustainability of rice.
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4

Rothschild, G. "Rice insects; management strategies." Agriculture, Ecosystems & Environment 48, no. 2 (March 1994): 190–94. http://dx.doi.org/10.1016/0167-8809(94)90090-6.

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5

Bulbule, A. V., S. C. Talashilkar, and N. K. Savant. "Integrated rice straw–urea management for transplanted rice." Journal of Agricultural Science 127, no. 1 (August 1996): 49–55. http://dx.doi.org/10.1017/s0021859600077364.

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SUMMARYFour field experiments were conducted over the 1992 and 1993 seasons (southwest monsoon seasons, June–October) in the warm subhumid tropical region on the west coast of the Maharashtra State, India. The objective was to investigate the effect of recycling limited amounts of rice straw (RS) (as a source of K and Si) integrated with the use of prilled urea (PU) and urea briquettes (UB) at 60 kg N/ha on the growth and yield of rainfed transplanted rice (Oryza sativa L.). The management practice, consisting of basal incorporation of RS (2 t/ha) integrated with deep placement of UB (one 2·1-g UB/4 hills) immediately after transplanting using a modified 20 × 20 cm spacing, produced a significantly higher grain yield (average increase of 1·3 t/ha) and straw yield (average increase of 1·1 t/ha) than did the RS practice integrated with two equal split applications of PU at the same N rate and hill spacing. The additional yields were attributed to the increase of total and productive tillers/m2 and panicle weight. The results indicate the potential of the integrated RS–UB management for increasing yields of rainfed transplanted rice in the warm subhumid tropical zone.
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Higuchi, Hiroya. "Ecology and Management of Rice Bugs Causing Pecky Rice." Japanese Journal of Applied Entomology and Zoology 54, no. 4 (2010): 171–88. http://dx.doi.org/10.1303/jjaez.2010.171.

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7

Agustina, H., BI Setiawan, M. Solahuddin, and Sugiyanta. "SRI (Rice Intensification System) water management of rice productivity." IOP Conference Series: Earth and Environmental Science 542 (August 7, 2020): 012051. http://dx.doi.org/10.1088/1755-1315/542/1/012051.

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8

Sebastian, Abin, and Majeti Prasad. "Trace Element Management in Rice." Agronomy 5, no. 3 (August 18, 2015): 374–404. http://dx.doi.org/10.3390/agronomy5030374.

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9

Rodrigues, Fabrício A., and Lawrence E. Datnoff. "Silicon and rice disease management." Fitopatologia Brasileira 30, no. 5 (October 2005): 457–69. http://dx.doi.org/10.1590/s0100-41582005000500001.

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The element silicon (Si) is not considered an essential nutrient for plant function. Nevertheless, Si is absorbed from soil in large amounts that are several fold higher than those of other essential macronutrients in certain plant species. Its beneficial effects have been reported in various situations, especially under biotic and abiotic stress conditions. The most significant effect of Si on plants, besides improving their fitness in nature and increasing agricultural productivity, is the restriction of parasitism. There has been a considerable amount of research showing the positive effect of Si in controlling diseases in important crops. Rice (Oryza sativa), in particular, is affected by the presence of Si, with diseases such as blast, brown spot and sheath blight becoming more severe on rice plants grown in Si-depleted soils. The hypothesis underlying the control of some diseases in both mono- and di-cots by Si has been confined to that of a mechanical barrier resulting from its polymerization in planta. However, some studies show that Si-mediated resistance against pathogens is associated with the accumulation of phenolics and phytoalexins as well as with the activation of some PR-genes. These findings strongly suggest that Si plays an active role in the resistance of some plants to diseases rather than forming a physical barrier that impedes penetration by fungal pathogens.
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10

Teng, Paul S. "Integrated Pest Management in Rice." Experimental Agriculture 30, no. 02 (April 1994): 115. http://dx.doi.org/10.1017/s001447970002408x.

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11

Arivukkarasu, K. "Effect of different rice straw management strategies for sustainable weed management in transplanted rice." Asian Journal of Multidisciplinary Research 5, no. 1 (March 21, 2019): 12–16. http://dx.doi.org/10.20468/ajmr/105488.

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12

Chen, Liangmei, Wenge Wu, Fengxiang Han, Jiangxia Li, Wenling Ye, Huanhuan Fu, Yonghua Yan, Youhua Ma, and Qiang Wang. "Agronomic Management and Rice Varieties Controlling Cd Bioaccumulation in Rice." International Journal of Environmental Research and Public Health 16, no. 13 (July 4, 2019): 2376. http://dx.doi.org/10.3390/ijerph16132376.

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Selection of rice varieties and application of amendments are effective measures to ensure food safety. Here we report that in the non-Cd area, the grain quality of all rice varieties met the Chinese National Grain Safety Standards (CNGSS). In the high-Cd area, rice varieties showed significant different bioaccumulation of Cd with lower rice yields than those in non-Cd area with the average decrease of 31.1%. There was a negative correlation between grain Cd content and yields. A total of 19 rice varieties were selected as low Cd accumulating rice varieties and their Cd content met CNGSS in the low-Cd area. Six of them met CNGSS in the high-Cd area. The application of amendments significantly reduced Cd content in rice grains by 1.0–84.7% with an average of 52.6% and 13 of varieties met CNGSS. The amendments reduced available Cd content in soils by 1.1–75.8% but had no significant effects on rice yields. Therefore, the current study implied that proper agronomic management with selection of rice varieties and soil amendments was essential in controlling Cd accumulation in rice grains.
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13

Sailaja, B., S. R. Voleti, D. Subrahmanyam, P. Raghuveer Rao, S. Gayatri, R. Nagarjuna Kumar, and Shaik N. Meera. "Spatial Rice Decision Support System for Effective Rice Crop Management." Current Science 116, no. 3 (February 10, 2019): 412. http://dx.doi.org/10.18520/cs/v116/i3/412-421.

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14

Goswami, Subhendu Bikash, Ramyajit Mondal, and Sanjib Kumar Mandi. "Crop residue management options in rice–rice system: a review." Archives of Agronomy and Soil Science 66, no. 9 (September 12, 2019): 1218–34. http://dx.doi.org/10.1080/03650340.2019.1661994.

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15

Otero-Jiménez, Vanessa, Jibda del Pilar Carreño-Carreño, Emiliano Barreto-Hernandez, Jan Dirk van Elsas, and Daniel Uribe-Vélez. "Impact of rice straw management strategies on rice rhizosphere microbiomes." Applied Soil Ecology 167 (November 2021): 104036. http://dx.doi.org/10.1016/j.apsoil.2021.104036.

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16

Nascente, Adriano S., Luís F. Stone, and Cleber M. Guimarães. "Upland rice yield as affected by Brachiaria coverage management." Revista Brasileira de Engenharia Agrícola e Ambiental 19, no. 1 (January 2015): 15–20. http://dx.doi.org/10.1590/1807-1929/agriambi.v19n1p15-20.

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An important point in no-tillage system is the time between cover crop glyphosate desiccation and rice sowing. This study aimed to verify the effect of Brachiaria ruziziensis management time before rice sowing on rice yield and its components. The experiment was conducted under greenhouse conditions and consisted of four types of B. ruziziensis management: with Brachiaria and with herbicide (WBWH), without Brachiaria shoots and with herbicide (NBWH), without Brachiaria shoots and without herbicide (NBNH), and with Brachiaria and without herbicide (WBNH), at four times: 30, 20, 10, and 0 days, preceding the rice sowing. The amount of B. ruziziensis dry matter increased as the management was done closer to the rice sowing date. The WBWH and WBNH managements (this one causes the lowest rice grain yield) must be done 30 days before rice sowing; while NBWH management must be done ten or more days before rice sowing. On the other hand, NBNH management (this one favors the best rice grain yield) can be done until rice sowing day. Despite some reduction in rice yield caused by the B. ruziziensis management, when it was done at the proper time the rice grain yield was similar to the control (without Brachiaria sowing and without herbicide application).
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17

Banwo, O. O. "Management of major insect pests of rice in Tanzania – Review." Plant Protection Science 38, No. 3 (February 6, 2012): 108–13. http://dx.doi.org/10.17221/4860-pps.

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The major insect pests on rice in Tanzania are listed and described. They are from five orders (Coleoptera, Diptera, Hemiptera, Lepidoptera and Orthoptera) and are discussed as stem borers, stem and root feeders, and leaf and panicle feeders. This review puts together the hitherto fragmented information available on the distribution, host range, biology/life-cycle and ecology, and the management measures of the insect pests of rice. Areas for future research are also mentioned.
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18

Chang, T. T. "The management of rice genetic resources." Genome 31, no. 2 (January 15, 1989): 825–31. http://dx.doi.org/10.1139/g89-145.

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Rice growers and researchers are endowed with an enormously rich germ plasm of pantropical distribution, mostly conserved before serious genetic erosion sets in. Efficient management of the conserved resources and effective use of the diverse gene pools justify arduous and costly investments in conservation. A sound conservation system requires adequate field space for seed increase and rejuvenation, cost-efficient and secure storage facilities, a database management system, availability of conserved materials and related information to users, and vigilant monitoring of seed viability. Linkage with evaluators, breeders, and biotechnologists is essential for full use of the conserved materials. Periodic consultation with specialists will extend a collection's usefulness, through further collection or re-collection of germ plasm and in situ conservation, compatibility of documentation systems, and enhanced interinstitutional and international collaboration. Training of germ-plasm workers should be part of the management system. The continuity in human resources will provide security, their dedication will ensure service, interdisciplinary communication will promote use. Improving the capability of national genebanks augments the security of collections preserved at duplicate sites. Gene-bank management must be sustained by adequate administrative and financial support. An effective public information program will further ensure support and security.Key words: rice, Oryza sativa, genetic resources, genetic conservation, gene-bank management.
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19

Nayak, Baijayanti, BS Rath, M. Shahid, SN Jena, TB Bagchi, and PS Roy. "Organic nutrient management in aromatic rice-rice sequence: A critical review." International Journal of Chemical Studies 8, no. 5 (September 1, 2020): 1435–44. http://dx.doi.org/10.22271/chemi.2020.v8.i5t.10503.

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20

Lee, Hyo Jai, Oui Woung Kim, Hoon Kim, Byeong-Sam Kim, Jae-Woong Han, Chung Su Han, and Jae-Yoon Jung. "Development of Ubiquitous Rice Intake Management Systems for Rice Processing Complex." Journal of Society for e-Business Studies 18, no. 2 (May 31, 2013): 175–89. http://dx.doi.org/10.7838/jsebs.2013.18.2.175.

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21

Rao, K. Tejeswara, M. M. V. Srinivasa Rao, and D. Nagarjuna. "Response of rice-rice cropping system to different agronomic management practices." INTERNATIONAL JOURNAL OF PLANT SCIENCES 14, no. 2 (July 15, 2019): 81–83. http://dx.doi.org/10.15740/has/ijps/14.2/81-83.

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22

Ravi, S., and B. Ramakichenin. "Climate Resilient Management Practices in Rice and Rice based Cropping Systems." International Journal of Current Microbiology and Applied Sciences 7, no. 03 (March 10, 2018): 2153–60. http://dx.doi.org/10.20546/ijcmas.2018.703.253.

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23

PHENG, SOPHEA, MARIA OLOFSDOTTER, GARY JAHN, and STEVE W. ADKINS. "Potential allelopathic rice lines for weed management in Cambodian rice production." Weed Biology and Management 9, no. 4 (December 2009): 259–66. http://dx.doi.org/10.1111/j.1445-6664.2009.00349.x.

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24

Bacon, P. E. "Management strategies for maintaining rice yield within rice-based cropping systems." Field Crops Research 26, no. 3-4 (June 1991): 315–26. http://dx.doi.org/10.1016/0378-4290(91)90008-j.

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25

J, Usman, Jirgi A.J, Ojo M.A, and Tiamiyu S.A. "Sources of Risk and Management Strategies among Farmers in Rice Post Harvest Management in Niger State, Nigeria." International Journal of Environmental and Agriculture Research 3, no. 8 (July 31, 2017): 60–66. http://dx.doi.org/10.25125/agriculture-journal-ijoear-jul-2017-16.

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26

Kathiresan, Ramanathan, and Sangeeviraman Vishnudevi. "Rice farming components for biological weed control in transplanted rice: perspective on weedy rice management." Weed Science 69, no. 5 (August 2, 2021): 609–14. http://dx.doi.org/10.1017/wsc.2021.53.

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AbstractFarming elements other than the crop, when integrated into the system, are supplementary, with multifold uses that include weed and pest management. Elements such as fish and poultry birds are integrated with transplanted wetland rice (Oryza sativa L.) for ensuring farmers’ livelihoods and the nutritional security and sustainability of the system. Integrated animal components such as poultry birds and fish also supplement the system with weed control. The role and efficacy of these animal components as tools for managing weedy rice (Oryza sativa L.) were explored, as weedy rice infestation is increasing. This threat of weedy rice is due to scarcity of water resulting from poor water management and improper field leveling. Grass carp (Ctenopharyngodon idella val.) produced the highest reduction of weedy rice biomass, 28% within 24 h under laboratory conditions. Polyculture of C. idella, mrigal (Cirrhinus mrigala Ham.), and silver carp (Hypophthalmichthys molitrix val.) reduced the biomass of weedy rice by 21% within 24 h. In laboratory studies, poultry manure at the highest concentration of 5% reduced the weedy rice seed germination 100% compared with rice seed germination at 91%. This conformed with microplot experiments in which poultry manure at 15.6 g d−1 resulted in a weed control index (WCI) of 8% in both years. However, poultry manure at 15.6 g d−1 in combination with herbicide application resulted in the highest control indices of weedy rice: 52% in 2017 and 2018. Integrating fish and poultry with PRE application of oxyfluorfen (0.25 kg ha−1) resulted in the highest WCI and grain yield in field experiments.
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27

Saravanane, P., S. Mala, and V. Chellamuthu. "Integrated weed management in aerobic rice." Indian Journal of Weed Science 48, no. 2 (2016): 152. http://dx.doi.org/10.5958/0974-8164.2016.00038.1.

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28

Singh, V. Pratap, S. P. Singh, V. C. Dhyani, A. Banga, A. Kumar, K. Satyawali, and N. Bisht. "Weed management in direct-seeded rice." Indian Journal of Weed Science 48, no. 3 (2016): 233. http://dx.doi.org/10.5958/0974-8164.2016.00059.9.

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Kumar, J. S. Arun, and Niranjana Murthy. "Integrated weed management in rice bean." Indian Journal of Weed Science 49, no. 2 (2017): 182. http://dx.doi.org/10.5958/0974-8164.2017.00046.6.

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30

Munnoli, Sourabh, D. Rajakumar, C. Chinnusamy, and N. Thavaprakaash. "Integrated Weed Management in Aerobic Rice." Madras Agricultural Journal 105, no. 4-6 (June 1, 2018): 161. http://dx.doi.org/10.29321/maj.2018.000122.

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31

Way, M. O. "Biology and management of rice insects." Field Crops Research 54, no. 1 (August 1997): 82–84. http://dx.doi.org/10.1016/s0378-4290(97)00053-1.

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32

Matthews, G. A. "Biology and management of rice insects." Crop Protection 15, no. 3 (May 1996): 321. http://dx.doi.org/10.1016/s0261-2194(96)90027-7.

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33

Siddeek, Fathima Z., Theo A. Dillaha, and G. V. Loganathan. "Water Management for Lowland Rice Irrigation." Journal of Irrigation and Drainage Engineering 114, no. 3 (August 1988): 407–23. http://dx.doi.org/10.1061/(asce)0733-9437(1988)114:3(407).

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34

Razu, Md Amanut Ullah, and Ismail Hossain. "Eco-Friendly Management of Rice Diseases." International Journal of Applied Sciences and Biotechnology 3, no. 1 (February 26, 2015): 80–88. http://dx.doi.org/10.3126/ijasbt.v3i1.11977.

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Comparative efficacy of BAU-Biofungicide (2%), a product of Trichoderma harzianum, Garlic (Allium sativum) clove extract (5%), Allamanda(Allamanda cathartica) leaf extract (5%), Bion (25ppm), Amistar (0.1%) and Tilt 250EC (0.1%) were evaluated for eco-friendly managementof diseases of rice cv. BRRI Dhan-49 under field and laboratory conditions from July,2013 to March,2014. The field experiment was carriedout following Randomised Complete Block Design and the laboratory experiments were done following Completely Randomized Design.Brown spot, Narrow brown leaf spot, Bacterial leaf blight and Sheath blight were recorded in the field. The lowest incidence of brown spotand narrow brown leaf spot was observed in plots treated with BAU-Biofungicide and that of bacterial leaf blight was observed in plots sprayedwith Allamanda leaf extract. In case of sheath blight, the lowest incidence was observed in BAU-Biofungicide sprayed plots. The highest grainyield (3680.34kg/ha) was recorded in plots sprayed with BAU-Biofungicide which is 40.56% higher over control. The highest seed germination(%) was recorded when seeds were treated with Garlic clove extract (89.29%) followed by BAU-Biofungicide (87.30%). The prevalence ofseed-borne fungi was investigated by blotter method. The identified seed-borne fungal species were Bipolaris oryzae, Fusarium oxysporum,Fusarium moniliforme, Curvularia lunata, Aspergillus niger and Aspergillus flavus. Maximum reduction of seed-borne infection of pathogenswas obtained by treating seeds with BAU-Biofungicide (2% of seed weight).DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.11977 Int J Appl Sci Biotechnol, Vol. 3(1): 80-88
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Domínguez-Escribá, Laura, and Manuel Porcar. "Rice straw management: the big waste." Biofuels, Bioproducts and Biorefining 4, no. 2 (March 2010): 154–59. http://dx.doi.org/10.1002/bbb.196.

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36

Hossain, KS, MAT Mia, and MA Bashar. "Management of Bakanae disease of rice." Bangladesh Journal of Botany 44, no. 2 (October 13, 2018): 277–83. http://dx.doi.org/10.3329/bjb.v44i2.38517.

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Bakanae disease is widely distributed in all rice growing areas of the world. In Bangladesh, it is one of the major diseases of rice. Four methods were tested for management of this disease, of which, roguing proved ineffective in a field investigation. Among the 15 fungicides tested in vitro, all of them were found effective in various degrees against the pathogen of the disease. Best effective 4 were selected for seed treatment and know (50% carbendazim WP) was the most effective followed by folicur (25% Tebuconazole EC), protaf (25% Propiconazole EC) and celest extra (2.5% Fludioxonil and 2.5% Difenoconazole EC). In the field, foliar spray of folicur, knowin and protaf was found ineffective to control bakanae disease. Looking for resistant one, 46 BRRI released varieties, “Purbachi”- a Chinese variety and 40 landraces of BRRI germplasm were tested in vitro against the pathogen. All these varieties and landraces were susceptible to the test pathogen in various degrees. Among the released varieties lower susceptibility were found in BR 23 and BR 11. Whereas, among the varieties and landraces the lowest was found in A23. Therefore, A23 may be suitable for use in the development of varieties resistant to bakanae rice disease.
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37

Jabran, Khawar, and Bhagirath Singh Chauhan. "Weed management in aerobic rice systems." Crop Protection 78 (December 2015): 151–63. http://dx.doi.org/10.1016/j.cropro.2015.09.005.

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38

Khadka, Ram B., and Norman Uphoff. "Effects ofTrichodermaseedling treatment with System of Rice Intensification management and with conventional management of transplanted rice." PeerJ 7 (January 11, 2019): e5877. http://dx.doi.org/10.7717/peerj.5877.

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Many benefits ofTrichodermainoculation for improving crop production have been documented, including growth and yield enhancement and the alleviation of biotic and abiotic stresses. However, because rice is usually cultivated under continuous flooding that creates anaerobic soil conditions, this limits the benefits of these beneficial fungi. Cultivating rice with the methods of the System of Rice Intensification (SRI) provides rice plants with a more favorable environment for their colonization by beneficial microbes in the soil because the soil is more aerobic under SRI management and contains more organic matter. This study evaluated the effects ofTrichodermainoculation of rice plants under SRI management compared with transplanted and flooded rice plants, considering also the effects of different means of fertilization and different varieties in rice. Experiments were conducted in 2015 and 2016 under the tropical climate of Nepal’s western terai (plains) during both the rainy season (July to November) and the dry season (March to July). The results indicated significantly better performance (P = 0.01) associated withTrichodermainoculation for both seasons and for both systems of crop management in terms of grain yield and other growth-contributing factors, compared to non-inoculated rice cropping. Relatively higher effects on grain yield were recorded also with organic compared to inorganic fertilization; for unimproved (heirloom) varieties compared with improved varieties; and from SRI vs. conventional flooded crop management. The yield increase withTrichodermatreatments across all trials was 31% higher than in untreated plots (4.9 vs 4.5 mt ha−1). WithTrichodermatreatment, yields compared with non-treated plots were 24% higher with organic SRI (6.38 vs 5.13 mt ha−1) and 52% higher with non-organic SRI (6.38 vs 3.53 mt ha−1). With regard to varietal differences, under SRI managementTrichodermainoculation of the improved variety Sukhadhan-3 led to 26% higher yield (6.35 vs 5.04 mt ha−1), and with the heirloom variety Tilkidhan, yield was 41% higher (6.29 vs 4.45 mt ha−1). Economic analysis indicated that expanding the organic cultivation of local landraces under SRI management should be profitable for farmers where such rice has a good market price due to its premium quality and high demand and when SRI enhances yield. These varieties’ present low yields can be significantly increased by integratingTrichodermabio-inoculation with SRI cultural methods. Other recent research has shown that such inoculation can be managed profitably by farmers themselves.
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39

Roder, W., S. Schürmann, P. Chittanavanh, K. Sipaseuth, and M. Fernandez. "Soil fertility management for organic rice production in the Lao PDR." Renewable Agriculture and Food Systems 21, no. 4 (December 2006): 253–60. http://dx.doi.org/10.1079/raf2006161.

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AbstractRice is the most important agricultural commodity of the Lao People's Democratic Republic (Lao PDR), produced largely using traditional methods with limited inputs of fertilizers and other chemicals. The country has a wide diversity in rice production systems and rice varieties, with over 3000 different varieties recorded. The rich diversity and the production environment and methods are favorable for organic rice production. Investigations were carried out to describe soil fertility conditions, management practices, opportunities and problems associated with organic production methods for rice. Soils used for rice production are mostly of low fertility, with low organic matter and N-availability. In spite of this, virtually no fertilizer inputs are used for upland rice production. Inorganic fertilizer inputs for lowland rice production have increased rapidly over the past decade, but are still below 20 kg ha−1. The most important nutrient sources are rice straw and manure from buffalo and cattle. Chromolaena odorata plays an important role in nutrient cycling in upland rice systems and is sometimes added to lowland fields. In a range of fertility management studies, yield increase ranged from 2 to 89% for manure, straw or rice husk applied at modest rates (3 t ha−1), 32–156% for modest rates of inorganic fertilizer (60 kg N ha−1) and 36–167% for combined application of manure or crop residues with inorganic fertilizer. The response to locally produced commercial organic fertilizer was poor. The most promising inputs and strategies available to optimize yields in organic rice production systems are (1) optimizing use of locally available nutrients, mostly from manure, crop residues and weed biomass, (2) N addition through green manure and legumes growing in rotation and (3) additions of P through guano or rock-phosphate. The Lao PDR is fortunate to have substantial bat guano deposits in limestone caves. Extensive experience is available on straw and husk management for lowland systems and green manure species for upland production systems.
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40

Latha, M., P. Ratna Prasad, P. R. K. Prasad, R. Lakshmipathy, and V. Srinivasarao. "Effect of Integrated Nitrogen Management on Rice and Rice Fallow Rabi Crops." International Journal of Current Microbiology and Applied Sciences 8, no. 1 (January 10, 2019): 271–80. http://dx.doi.org/10.20546/ijcmas.2019.801.030.

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41

Chadhar, A. R., M. A. Nadeem, A. Tanveer, and M. Yaseen. "Weed management boosts yield in fine rice under system of rice intensification." Planta Daninha 32, no. 2 (June 2014): 291–99. http://dx.doi.org/10.1590/s0100-83582014000200006.

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The system of rice intensification has emerged as a promising rice production package but weed infestation could lead to incomplete benefits from the system. A two-year field study was performed to determine an appropriate method of weed management in SRI. Weed management treatments were manual hoeing 20, 40 and 60 days after transplanting (DAT), hoeing with rotary hoe at 20, 40 and 60 DAT, hoeing with rotary hoe at 20 DAT + spray with sorghum and sunflower water extracts at 15 L ha-1 40 DAT, manual hoeing 20 DAT + spray with sorghum and sunflower water extracts, both in equal amount, at 15 L ha-1 40 DAT, orthosulfamuron at 145 g a.i. ha-1 7 DAT, weedy check and weed free. Manual hoeing at 20, 40 and 60 DAT was the treatment that exhibited the maximum kernel yield i.e. 5.34 and 4.99 t ha-1., which was 8.4 and 7.2% higher than orthosulfamuron and 61.0 and 64.9% higher than weedy check, during both years of study, respectively. The highest weed suppression was also achieved by manual hoeing at 20, 40 and 60 DAT with weed control efficiency of 87.89 and 82.32% during 2010 and 2011, respectively. Manual hoeing at 20, 40 and 60 DAT is an eco-friendly, non-chemical weed control method to increase kernel yield of fine rice under SRI.
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42

Zhang, Jing, Yuxin Miao, William Batchelor, Junjun Lu, Hongye Wang, and Shujiang Kang. "Improving High-Latitude Rice Nitrogen Management with the CERES-Rice Crop Model." Agronomy 8, no. 11 (November 15, 2018): 263. http://dx.doi.org/10.3390/agronomy8110263.

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Efficient use of nitrogen (N) fertilizer is critically important for China’s food security and sustainable development. Crop models have been widely used to analyze yield variability, assist in N prescriptions, and determine optimum N rates. The objectives of this study were to use the CERES-Rice model to simulate the N response of different high-latitude, adapted flooded rice varieties to different types of weather seasons, and to explore different optimum rice N management strategies with the combinations of rice varieties and types of weather seasons. Field experiments conducted for five N rates and three varieties in Northeast China during 2011–2016 were used to calibrate and evaluate the CERES-Rice model. Historical weather data (1960–2014) were classified into three weather types (cool/normal/warm) based on cumulative growing degree days during the normal growing season for rice. After calibrating the CERES-Rice model for three varieties and five N rates, the model gave good simulations for evaluation seasons for top weight (R2 ≥ 0.96), leaf area index (R2 ≥ 0.64), yield (R2 ≥ 0.71), and plant N uptake (R2 ≥ 0.83). The simulated optimum N rates for the combinations of varieties and weather types ranged from 91 to 119 kg N ha−1 over 55 seasons of weather data and were in agreement with the reported values of the region. Five different N management strategies were evaluated based on farmer practice, regional optimum N rates, and optimum N rates simulated for different combinations of varieties and weather season types over 20 seasons of weather data. The simulated optimum N rate, marginal net return, and N partial factor productivity were sensitive to both variety and type of weather year. Based on the simulations, climate warming would favor the selection of the 12-leaf variety, Longjing 21, which would produce higher yield and marginal returns than the 11-leaf varieties under all the management strategies evaluated. The 12-leaf variety with a longer growing season and higher yield potential would require higher N rates than the 11-leaf varieties. In summary, under warm weather conditions, all the rice varieties would produce higher yield, and thus require higher rates of N fertilizers. Based on simulation results using the past 20 years of weather data, variety-specific N management was a practical strategy to improve N management and N partial factor productivity compared with farmer practice and regional optimum N management in the study region. The CERES-Rice crop growth model can be a useful tool to help farmers select suitable precision N management strategies to improve N-use efficiency and economic returns.
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43

Vilayvong, Saythong, Poramate Banterng, Aran Patanothai, and Krirk Pannangpetch. "CSM-CERES-Rice model to determine management strategies for lowland rice production." Scientia Agricola 72, no. 3 (June 2015): 229–36. http://dx.doi.org/10.1590/0103-9016-2013-0380.

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44

Sharma, Vishal, Sunil Giri, and Siddharth Shankar Rai. "Supply Chain Management Of Rice In India: A Rice Processing Company's Perspective." International Journal of Managing Value and Supply Chains 4, no. 1 (March 31, 2013): 25–36. http://dx.doi.org/10.5121/ijmvsc.2013.4103.

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45

Manzano, Virgilio Julius P., and Amor V. M. Ines. "Downscaling Seasonal Climate Forecasts for Risks Management of Rice Production in the Philippines." Indian Journal of Science and Technology 13, no. 1 (January 20, 2020): 1–17. http://dx.doi.org/10.17485/ijst/2020/v13i01/147074.

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46

Khedkar, DT, PG Borkar, RA Raut, VM Karade, and RA Karande. "Integrated management of blast disease of rice." International Journal of Chemical Studies 8, no. 4 (July 1, 2020): 3158–59. http://dx.doi.org/10.22271/chemi.2020.v8.i4am.10135.

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47

G. Abdel-Ghany, Gehan,, and Zaky, M.H. "Water and soil management for Drought Rice." Alexandria Journal of Agricultural Sciences 65, no. 3 (June 1, 2020): 211–22. http://dx.doi.org/10.21608/alexja.2020.109842.

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48

Sanodiya, Pratik, and Manoj Kumar Singh. "Integrated weed management in direct-seeded rice." Indian Journal of Weed Science 49, no. 1 (2017): 10. http://dx.doi.org/10.5958/0974-8164.2017.00003.x.

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Ramesha, Y. M., Bhanuvally Manjunatha, Ashok Kumar Gaddi, D. Krishamurthy, and M. R. Umesh. "Weed management in irrigated dry-seeded rice." Indian Journal of Weed Science 49, no. 2 (2017): 113. http://dx.doi.org/10.5958/0974-8164.2017.00031.4.

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50

Aruna, E., and G. Karuna Sagar. "Weed management in groundnut under rice-fallow." Indian Journal of Weed Science 50, no. 3 (2018): 298. http://dx.doi.org/10.5958/0974-8164.2018.00064.3.

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