文献类型： 外文期刊

作者： Wang Jichuan ¹ ; Yu Jun ¹ ; Gao Shan ¹ ; Yuan Jie ² ; Ma Fuyu ³ ; Chen Yuanliang ⁵ ; He Wei ⁶ ;

作者机构： 1.Tarim Univ, Coll Plant Sci, Alar 843300, Xinjiang, Peoples R China

2.Xinjiang Acad Agr Sci, Inst Ind Crops, Urumqi, Xinjiang, Peoples R China

3.Xinjiang Prod & Construct Crops, Key Lab Oasis Ecol Agr, Shihezi 832003, Xinjiang, Peoples R China

4.Shihezi Univ, Coll Agron, Shihezi 832003, Xinjiang, Peoples R China

5.Inst Vegetable Sci, Shihezi, Xinjiang, Peoples R China

6.Xinjiang Prod & Construct Crops, Agr Div 2, 223Farm, Hejing 841300, Xinjiang, Peoples R China

关键词： Processing tomato(Lycopersicon esculentum Mill);Dry matter accumulation;Dry matter partitioning;Partitioning index;Yield formation;Simulation model

期刊名称：AGRICULTURAL REFORMATION AND RURAL PROGRESSING

ISSN：

年卷期： 2010 年

页码：

收录情况： SCI

摘要： Simulation of dry matter accumulation and distribution of crop growth models is an important means of predicting yield formation. This study set up test of different processing tomato cultivars, sowing date and density test. By analyzing the quantitative relationships between processing tomato(Lycopersicon esculentum Mill) growth and physiological development time (PDTv), based on knowledge model, dry matter partitioning index and harvest index(HI), the simulation models were developed to estimate the total dry matter accumulation, shoot dry matter partitioning and yield formation of processing tomato. The sowing date factor(SDF) was introduced to regulate the partitioning intensity, and the genetic feature of cultivar was considered. The validation with trial data gained by setting cultivars and sowing experiments in Xinjiang Shihezi (44 degrees 26'N, 86 degrees 01'E) and Hejing (42 degrees 19'N, 86 degrees 24'E) of China showed that this model had a good predictability and practicability.