首页> 外文期刊>The Indian Journal of Agricultural Sciences >Validation and economic analysis of adaptable integrated management technology against root-knot nematode (Meloidogyne graminicola) in rice (Oryza sativa) with farmers' participatory approach.
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Validation and economic analysis of adaptable integrated management technology against root-knot nematode (Meloidogyne graminicola) in rice (Oryza sativa) with farmers' participatory approach.

机译:农民参与式抗水稻根结线虫适应性综合管理技术的验证和经济分析。

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摘要

Wider area validation and economic analysis of adaptable integrated root-knot nematode (Meloidogyne graminicola) management technology in rice (Oryza sativa L.) in farmers' participatory approach was carried out in adopted village Akkihebbalu, K.R.Pet, Mandya district, Karnataka during 2008, 2009 and 2010 in the 437 acre area covering 167 farmers' families. Integrated nematode management technology (INMT) for rice comprised raising rice nursery in cabrofuran (0.3 g a.i/m2) treated beds followed by its field application @ 1 kg ai/ha 40 days after transplanting (T1) or applying Pseudomonas fluorescence @ 20 g/m2 in soil nursery (T2) or seed treatment of rice with Trichoderma viride @ 4 g/kg seed in nursery (T3), The adoption of INMT resulted in reducing the nematode population from 320 J2/200 c.c soil as initial nematode population to 135 (T1), 165 (T2) and 192 (T3)/200 cc of soil in the respective treatments thereby leading to increase yield 4.72 tonnes/ha, 4.67 tonnes/ha and 4.29 tonnes/ha in T1, T2 and T3 respectively, in comparison to 3.81 tonnes/ha in untreated control (T4).
机译:在农民参与的方式下,进行了水稻(水稻>)的适应性综合根结线虫( Meloidogyne graminicola )管理技术的大范围验证和经济分析。在2008年,2009年和2010年期间在卡纳塔克邦Mandya区KRPet的Akkihebbalu村接纳了167户农民家庭,占地437英亩。水稻综合线虫管理技术(INMT)包括在经呋喃呋喃(0.3 g ai / m 2 )处理过的床上培育水稻育苗室,然后在移栽后40天以1 kg ai / ha的田间应用(T sub> 1 )或在土壤苗圃(T 2 )中施用假单胞菌荧光 @ 20 g / m 2 或种子处理苗木中添加了木霉菌 @ 4 g / kg的水稻(T 3 ),采用INMT可使线虫种群从320 J 2减少sub> / 200 cc土壤作为初始线虫种群,分别为135(T 1 ),165(T 2 )和192(T 3 )/分别处理的200 cc土壤导致T 1 ,T 2 和T 1的产量分别增加4.72吨/公顷,4.67吨/公顷和4.29吨/公顷sub> 3 ,而未经处理的对照(T 4 )为3.81吨/公顷。

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