论文部分内容阅读
利用重庆市优质稻——籼型杂交水稻新品种宜香9303的地理分期播种试验,通过多元相关分析和逐步回归建立优质稻产量与产量构成因素间的回归模型、产量构成因素的气候生态模型。结果表明:每穗粒数、结实率、单位面积穗数与千粒重对优质稻产量形成贡献较大,尤其是每穗粒数、结实率;每穗粒数与拔节-孕穗期的平均气温呈负相关,而与孕穗-齐穗期的平均气温呈“抛物线”关系;结实率与孕穗-齐穗、齐穗-乳熟期间的平均气温均呈“抛物线”关系,其最适宜气温分别为27.2℃和26.7℃;影响单位面积穗数的主要气象因子为出苗-返青期的平均降雨量与平均日照时数、返青-拔节期的平均气温与平均日照时数;孕穗-齐穗期、齐穗-乳熟期的平均最高气温、齐穗-乳熟期、乳熟-成熟期平均日较差为决定优质稻千粒重的关键因子。
A geographical seeding sowing experiment was conducted to study the geographical-seeding sowing of high-quality indica hybrid rice variety Yixiang 9303 in Chongqing. The multivariate correlation analysis and stepwise regression were used to establish a regression model and yield components of high quality rice. The results showed that grain yield per spike, seed setting rate, spikes per panicle and 1000-grain weight contributed significantly to the yield of high-quality rice, especially grain number per spike and seed setting rate. Grain number per spike and average temperature at jointing-booting stage were negative , And the relationship between the average temperature and the average temperature at the booting stage-heading stage was “parabola”; the average temperature during the full booting stage-heading stage, heading stage-milking stage showed a “parabola” relation with the optimum temperature 27.2 ℃ and 26.7 ℃ respectively. The main meteorological factors influencing panicle number per unit area are the average rainfall and the average sunshine hours during the emergence and rejuvenation period, the average temperature and the average sunshine hours of rejuvenation and jointing stage, the booting stage and the heading stage , The average supreme temperature of full spike-milk stage, the average daily temperature of full spike-milk stage and the average of milk-maturity-mature stage are the key factors that determine the 1000-grain weight of high-quality rice.