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Correlation and Multiple Regression Model for Economic Traits of Local Rice (Oryza sativa L.) in Upland Rice System

机译:山地稻米系统中当地稻米经济特征的相关与多元回归模型

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This study was conducted to stabilize the correlation parameter for economic traits of local rice (Oryza sativa L.). The results revealed that the number of tiller (NT) was positively correlated with plant height (PH, r = 0.55211), number of panicle (NP, r = 0.48390), panicle length (PL, r = 0.31181), seed length (SL, r = 0.33430), total seed weight (TSW, r = 0.28122), however, the negatively correlated with seed width (SW, r = -0.26725). Plant height (PH) was negatively correlated with seed width (SW, r = -0.42971) and 100 seed weight (HS, r = -0.28991). Number of panicle (NP) was positively correlated with panicle length (PL, r = 0.32888) and total seed weight (TSW = 0.75128). Panicle length (PL) was positively correlated with number of seed (NS, r = 0.38332), seed length (SL, r = 0.53582) and total seed weight (TSW, r = 0.51078). Number of seed (NS) was positively correlated with total seed weight (TS, r = 0.54696). Seed length (SL) was positively correlated with 100 seed weight (HS, r = 0.46799) and total seed weight (TSW, r = 0.33826). Seed width (SW) was positively correlated with 100 seed weight (HS, r = 0.66074). In this experiment, multiple regression formula was Y(TSW) = -51.31 + 0.045(PH) + 2.77(NP) + 0.21(NS) + 8.88(HS) with R~2 = 0.5644. Our results represent the relationship among traits and making for design a crop model in rice planting system.
机译:进行该研究以稳定局部稻米经济特征的相关参数(Oryza sativa L.)。结果表明,分蘖(NT)的数量与植物高度呈正相关(pH,r = 0.55211),穗数(NP,r = 0.48390),穗长(PL,R = 0.31181),种子长度(SL然而,R = 0.33430),总种子重量(TSW,R = 0.28122),与种子宽度(SW,R = -0.26725)负相关。植物高度(pH)与种子宽度(SW,R = -0.42971)和100种种子重量(HS,R = -0.28991991)呈负相关。穗数(NP)与穗长度呈正相关(PL,R = 0.32888)和总种子重量(TSW = 0.75128)。穗长(PL)与种子数(NS,R = 0.38332),种子长度(SL,R = 0.53582)和总种子重量(TSW,R = 0.51078)呈正相关。种子(NS)的数量与总种子重量正相关(TS,R = 0.54696)。种子长度(SL)与100种种子重量(HS,R = 0.46799)和总种子重量(TSW,R = 0.33826)呈正相关。种子宽度(SW)与100种子重量正相关(HS,R = 0.66074)。在该实验中,具有R〜2 = 0.5644的多元回归公式是Y(TSW)= -51.31 + 0.045(pH)+ 2.77(NP)+ 0.21(NS)+ 8.88(HS)。我们的结果代表了在水稻种植系统中设计了作物模型的性状和制作关系。

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