fruiting branch造句

• The main stem and fruiting branches of determinant types remain relatively short .
  有限生长类型的主茎和果枝仍然较短。
• The knowledge model for the dynamics of main development indices includes submodels of suitable development stages, plant height, leaf area index, dry matter accumulation, numbers of fruit branch, square and boll, plant nutrient accumulation
  生育指标动态知识模型包含有适宜生育期、株高、叶面积指数、干物质积累量、果枝和蕾铃数目，营养物质积累量等。
• The sub-model for design of population density was developed according to the principle of determining boll number from target yield, fruit node from boll number, fruit branch from fruit node and population density from fruit branch by integrating the effects of sowing date, cutout date, effective temperature accumulation above 12, variety type, and fertilizer and water management levels . sowing rate was then decided by integrating the effects of different soil water and salt contents, ph, temperature and sowing style on seedling emergence rate with relative weight method
  基于“以产定铃、以铃定节、以节定枝、以枝定苗”的原理，同时考虑播种日期、打顶日期、12的有效积温、品种株型特性、肥水管理水平差异等因素来确定适宜的种植密度；在此基础上，应用相对权重法计算土壤含水量、含盐量以及整地质量和播种方式等多个生态环境因子对出苗率的综合影响，进而确定播种量。
• The sub-model for design of population density was developed according to the principle of determining boll number from target yield, fruit node from boll number, fruit branch from fruit node and population density from fruit branch by integrating the effects of sowing date, cutout date, effective temperature accumulation above 12, variety type, and fertilizer and water management levels . sowing rate was then decided by integrating the effects of different soil water and salt contents, ph, temperature and sowing style on seedling emergence rate with relative weight method
  基于“以产定铃、以铃定节、以节定枝、以枝定苗”的原理，同时考虑播种日期、打顶日期、12的有效积温、品种株型特性、肥水管理水平差异等因素来确定适宜的种植密度；在此基础上，应用相对权重法计算土壤含水量、含盐量以及整地质量和播种方式等多个生态环境因子对出苗率的综合影响，进而确定播种量。
• The knowledge model for the dynamics of main development indices as plant height, leaf area index, dry matter accumulation, numbers of fruit branch, square and boll was developed based on the physiological time and target yield and quality . in addition, the dynamic relationships between plant nutrients and dry matter accumulation was quantified . all these sub-models provide the reference standards for quantitative and dynamic growth diagnosis and management regulation
  进一步根据产量和品质目标构建了株高、叶面积指数、干物质积累量、果枝和蕾铃数目变化与生理时间之间的动态关系知识模型，初步量化了棉株养分积累量与干物质积累量之间的动态关系，从而为定量化的苗情诊断和管理调控提供了参考标准。