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Prediction of Rice Milling Yield and Quality Attributes during Storage Using Regression Analyses

机译:使用回归分析预测储存过程中的水稻铣削产量和质量属性

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Regression analyses were performed to determine the storage conditions that exhibited the best outcomes for long-grain, hybrid milled rice yield and quality. This study evaluated mold population on rough rice, milled rice discoloration, and head riceyield (HRY) after storage of rough rice in airtight conditions at moisture contents (MCs) of 12.5%, 16%, 19%, and 21% wet basis and temperatures of 10°C, 15°C, 20°C, 27°C, and 40°C at two-week intervals for 12 weeks. The experiment used a popular long-grain hybrid rice cultivar (XL745). Rice lots were procured from fields with and without conventional treatment of the field with fungicide for plant disease management. Field treatment and no field treatment were considered as a block, and a Mann-Whitney test was conducted to determine effect. The response surface method, an extension of second-order polynomial regression, was used to examine optimal treatment conditions. Mold population and milled rice discoloration from a combination of storage conditions were predicted using regression models. The first-order and second-order terms of temperature indicated a nonlinear relationship between temperature and In(discoloration). The MC was positively associated with In(discoloration), but the degree of impact may change with temperature because the interaction term was significant. From the model evaluation (R2 and lack-of-fit test), the discoloration level is expected to be 57% (49% to 66% confidence interval) under conditions of 20% MC, 40°C, andnine weeks of storage for samples procured from fungicide-treated rice fields. This discoloration change is substantial compared to the initial discoloration of 9%. At high temperature (40°C) and MC (21%), discoloration started immediately after two weeks of storage. Anaerobic storage conditions impeded mold growth, especially at high storage temperature (40°C). Low mold populations were observed in rice stored at low MC (16%). According to the regression model, the critical storage temperature that may lead to discoloration is between 27°C and 40°C. Pre-harvest fungicide treatment of rice in the field for disease control significantly improved the HRY but had no significant influence on mold population or discoloration. This study suggests a rangeof storage conditions to prevent losses in milling yield and quality of rice. In addition, the studied storage conditions mimicked the typical conditions for on-farm, in-bin drying and storage in the U.S. Mid-South, especially for the top layers of neeinside the bin, and therefore provide an important reference for growers and rice processors using in-bin structures to manage the quality of long-grain hybrid rice.
机译:进行回归分析以确定储存条件,该储存条件表现出长谷物,杂交碾米产量和质量的最佳结果。本研究评估了粗糙的稻米,碾碎的稻米粒度(毛稻米氏菌(Hry)在储水处(MCS)的气密条件下储存12.5%,16%,19%和21%湿基础和温度后10°C,15℃,20℃,27℃,27℃,为期两周的间隔,12周。实验用来了一种流行的长颗粒杂交水稻品种(XL745)。稻米被从野外采购的田地,没有常规治疗植物疾病管理的杀菌剂。田间处理和没有田间处理被认为是块,并进行曼惠尼试验以确定效果。响应面方法是二阶多项式回归的延伸,用于检查最佳治疗条件。利用回归模型预测了从储存条件组合的模具群和碾磨稻米变色。一阶和二阶温度方案指示温度和(变色)之间的非线性关系。 MC与(变色)呈正相关,但冲击程度可能随温度变化,因为相互作用项是显着的。从模型评估(R2和缺乏测试),在20%MC,40°C,样品储存的储存的条件下,变色水平预计将是57%(49%至66%的置信区间)。从杀菌剂处理的稻田采购。与9%的初始变色相比,这种变色变化是大幅的。在高温(40°C)和MC(21%)时,储存两周后立即开始变色。厌氧储存条件阻抗模具生长,尤其是在高储存温度(40℃)。在低MC(16%)的水稻中观察到低模粒。根据回归模型,可能导致变色的关键存储温度在27°C和40°C之间。收获杀菌剂杀菌剂在疾病控制领域的米饭治疗显着改善休息,但对霉菌种群或变色没有显着影响。本研究表明,储存条件的范围,以防止铣削产量和水稻质量的损失。此外,所研究的储存条件还模仿了美国中南部的农场,箱内干燥和储存的典型条件,特别是对于箱内的Neeinside顶层,因此为种植者和水稻处理器提供了重要的参考采用箱内结构来管理长谷物杂交米的质量。

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