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首页> 外文期刊>Indian Journal of Soil Conservation >Assessment of radiation interception in a modified microenvironment and its relationships with biophysical parameters
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Assessment of radiation interception in a modified microenvironment and its relationships with biophysical parameters

机译：在改良的微环境中进行辐射拦截的评估及其与生物物理参数的关系

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Changes in radiation interception at critical phenological stages influence dry matter production and radiation use efficiency of oilseed Brassica crops. Henceforth, a field experiment was conducted during two consecutive winter seasons of 2005-06 and2006-07 on a sandy clay loam soils at research farm of Indian Agricultural Research Institute, New Delhi representing semi-arid climatic condition to evaluate radiation-crop interactions in mustard cultivars under debranching conditions using line quantum sensor. Radiation penetration, interception and biophysical parameters like leaf area index and dry biomass were studied periodically. Logarithmic trend of radiation penetration was observed within the canopy (R2 = 0.74** and 0.62** from top to bottomand mid to bottom of the canopy, respectively). Best fit second order polynomial regression analysis measured about 53-66% variations in Intercepted PAR (IPAR) at different phenological stages of the crop. Linear regression analysis inferred that cumulative IPAR could successfully be used in predicting biophysical parameters like leaf area index (LAI) and dry matter (DM) production. It was inferred that cumulated IPAR could explain variation in LAI and DM of the order 54-72% and 85-91 %, respectively.The radiation use efficiency was observed to be varied from 0.5 to 4.5 g MJ' across different treatments with the mean values ranged between 1.54 to 1.69 g ML1. The study showed that line quantum sensor based techniques for radiation study could be usedto estimate relevant biophysical parameters, their relationship with radiation and radiation utilization capacity of oilseed crop and thereby useful in developing dynamic crop simulation model. The regression models developed might be useful in other related Brassica spp for its quantification of variability of IPAR and biophysical parameters.
机译：关键物候阶段辐射拦截的变化会影响油菜籽作物的干物质生产和辐射利用效率。此后，在2005-06年和2006-07年的两个连续冬季中，在新德里印度农业研究所的研究农场对半干旱气候条件下的沙质壤土进行了田间试验，以评估芥末中的辐射-作物相互作用。品种在脱支条件下使用线量子传感器。定期研究辐射穿透，拦截和叶面积指数和干生物量等生物物理参数。在冠层内观察到辐射渗透的对数趋势（从冠层的顶部到底部和中部到底部分别为R2 = 0.74 **和0.62 **）。最佳拟合二阶多项式回归分析测量了作物不同物候期的拦截PAR（IPAR）约53-66％。线性回归分析表明，累积的IPAR可以成功地用于预测生物物理参数，例如叶面积指数（LAI）和干物质（DM）的产生。可以推测，累积的IPAR可以解释LAI和DM的变化分别为54-72％和85-91％的数量级。在不同处理之间，观察到的辐射利用效率在0.5至4.5 g MJ'之间变化，平均ML1的值介于1.54至1.69 g之间。研究表明，基于线量子传感器的辐射研究技术可用于估算相关的生物物理参数，以及与油料作物的辐射和辐射利用能力之间的关系，从而有助于开发动态作物模拟模型。所建立的回归模型可能对其他相关的甘蓝型油菜很有用，因为它可以量化IPAR和生物物理参数的变异性。

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