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首页> 外文期刊>Oryza >Effect of customised leaf colour chart (CLCC) based real time N management on agronomic attributes and protein content of rice (Oryza sativa L.)
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Effect of customised leaf colour chart (CLCC) based real time N management on agronomic attributes and protein content of rice (Oryza sativa L.)

机译:定制叶片颜色图(CLCC)实时N管理对水稻农艺属性和蛋白质含量的影响(Oryza Sativa L.)

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We conducted a field experiment at the Crop Research Farm, SHIATS, Allahabad (U.P.) during the kharif season of 2015 to evaluate the effect of customised leaf colour chart (CLCC) on yield and N content of rice. The experiment consisted offour level ofnitrogen treatments 70, 80, 90 and 100% of recommended dose of nitrogen (RDN). Neem coated urea was applied based on CLCC and conventional method. The experiment was laid out in randomised block design with three replications. Significantly higher grainyield (5.93 t ha~(-1)) and grain protein content (8.23%) were recorded under 100% RDN application based on CLCC. Real time N application based on CLCC, synchronised N supply and demand and hence partial factor productivity (PFP_N) was 11% higher as compared to 100% RDN application based onconventional method. Highest net income (Rs.47034 ha~(-1)) and B:C ratio (1.90) were also recorded under 100% RDN application based on CLCC.
机译:我们在2015年的Kharif季节在The The Allahabad(U.P.)中进行了一项野外实验,以评估定制叶子颜色图(CLCC)对水稻产量和N含量的影响。 该实验组成了氧氮处理水平70,80,90和100%推荐剂量的氮气(RDN)。 基于CLCC和常规方法施用Neem涂层尿素。 该实验在随机块设计中铺设了三种复制。 在基于CLCC的100%RDN应用下,在100%RDN申请下记录了更高的谷物脂肪(5.93 t ha〜(-1))和谷物蛋白质含量(8.23%)。 与基于100%RDN申请的onConventional方法相比,基于CLCC的实时N应用,同步N供需和随后部分因素生产率(PFP_N)的施用率高出11%。 最高净收入(47034卢比〜(-1))和B:C比率(1.90)也在基于CLCC的100%RDN应用下记录。

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